OUR COMMITMENT TO OUR EMPLOYEES GOES BEYOND THE WORKPLACE, INCLUDING COMPETITIVE WAGES THAT REFLECT YOUR VALUE TO THE COMPANY! APPLY TODAY TO LEARN MORE! Additional pay benefits of the new contract for SEIU represented roles, full and part time (can be stacked): - $2.00/hour Acute Care Premium (Urgent Care, Perioperative Services and Capitol Hill Inpatient Unit) Premiums - $2.00/hour Location Premium for onsite work at Bellevue Medical Center and Capitol Hill Campus Job Summary: Provide nursing care to a defined group of patients, adhering to Kaiser Foundation Health Plan of Washington ambulatory Nursing Care Standards, the Nursing Code of Ethics and Kaiser Foundation Health Plan of Washington policies. Coordinate and facilitate Health Care services for the patient in other segments of the Health Care delivery system. Provide and coordinate nursing care for the patient in collaboration with the Health Care team. The Registered Nurse is an integral member of the Health Care team, overseeing and participating in patient assessment and the formulation and implementation of the care plan. The Urgent Care RN will provide care in a fast-paced, high-acuity environment that acts similarly to a free-standing emergency department. Patient populations will include all ages, from neonates to geriatrics. Care will also include a large variety of chief complaints ranging from neurological, cardiac, and minor injury or illness. Ability to quickly prioritize and use critical thinking and clinical judgement to provide emergent and urgent care. Ability to work collaboratively with providers and other Urgent Care staff to provide high-quality patient care. Essential Responsibilities: Using the nursing process, provides ongoing assessment of the nursing care needs of a defined group of patients. Uses nursing diagnosis to describe this assessment. Develops a written plan of care for patient care needs. Assists patients and families/significant others in developing health care goals which are part of the individualized plan of care. Determines priorities of patient care based on essential patient needs and available resources. Provides nursing interventions safely and competently. Provides the patient and family/significant others with information preceding interventions. Provides telephone consultation to patients and family/significant others Provides ongoing evaluation of the patients response to care. Anticipates and recognizes changes in the patients status and need for nursing care. Modifies the individual plan of care in collaboration with the health care team. Demonstrates understanding of the physiologic and psychological effects of normal aging by assessing, planning, implementing and evaluating care to meet the needs of those populations served. Demonstrates effective communication skills with those specific age populations served. Identifies own learning needs and participates in educational programs related to those age-specific patient populations served (Neonatal, Pediatric, Adolescent, Geriatric). Collaborates, communicates and coordinates with other health care team members in planning and implementing care. Assesses the needs of designated patients requiring hospitalization; initiates nursing admission database and discharge planning in collaboration with inpatient staff and physician. Cooperates and communicates effectively with other team members in order to accomplish the workload. Communicates recognition of the patients and family/significant others psychosocial, cultural and emotional needs in each nurse-patient interaction. Orients patients and family/significant others to the role of the professional nurse and other health care team members, the nursing services available, and the means of access to those services. Reinforces orientation to the Consumer Bill of Rights and Responsibilities. Identifies the patients educational needs as part of the nursing assessment. Develops an educational component for each nursing care plan. Provides teaching/counseling congruent with patients and family/significant others learning needs and the medical plan of care. Encourages patient compliance with therapeutic and medical regimens. Teaching is based on scientific and behavioral knowledge. Assesses patient lifestyle risk factors. Integrates health promotion and preventive aspects of care with the ongoing assessment of nursing care needs. Works with patient to develop a plan to improve general health status. Implements physical and psychological preventive measures. Promotes patient self-care responsibility for meeting their own health needs. Adheres to KFHPW documentation standards. Provides a safe environment for each patient and adheres to KFHPW safety standards. Adheres to KFHPW infection control standards and guidelines, including the guidelines for reporting communicable diseases. Identifies own learning needs and participates in continued education programs to meet those needs. Participates in staff orientation and student education activities. Collaborates with managers in completing the process for self and colleague/team performance reviews. Assures quality of care through development, implementation and evaluation of professional nursing standards and participation in multidisciplinary quality assurance activities. Participates in professional activities. Participates in nursing research and incorporates research findings into nursing practice. Adheres to KFHPW personnel policies and maintains a high standard of professional work habits. Consistently demonstrates an appearance consistent with current KFHPW dress code policy. Basic Qualifications: Experience Education Associates degree in Nursing from an accredited program. License, Certification, Registration Registered Nurse License (Washington) required at hire OR Compact License: Registered Nurse required at hire Basic Life Support required at hire Pediatric Advanced Life Support within 6 months of hire Advanced Cardiac Life Support required at hire Additional Requirements: Communication, problem-solving, leadership and decision-making skills. Preferred Qualifications: Ambulatory care nursing experience. Primary nursing or case-management experience. Bachelor of science in Nursing (BSN). Emergency department nursing experience. Pediatric Advanced Life Support at hire.
07/28/2026
Full time
OUR COMMITMENT TO OUR EMPLOYEES GOES BEYOND THE WORKPLACE, INCLUDING COMPETITIVE WAGES THAT REFLECT YOUR VALUE TO THE COMPANY! APPLY TODAY TO LEARN MORE! Additional pay benefits of the new contract for SEIU represented roles, full and part time (can be stacked): - $2.00/hour Acute Care Premium (Urgent Care, Perioperative Services and Capitol Hill Inpatient Unit) Premiums - $2.00/hour Location Premium for onsite work at Bellevue Medical Center and Capitol Hill Campus Job Summary: Provide nursing care to a defined group of patients, adhering to Kaiser Foundation Health Plan of Washington ambulatory Nursing Care Standards, the Nursing Code of Ethics and Kaiser Foundation Health Plan of Washington policies. Coordinate and facilitate Health Care services for the patient in other segments of the Health Care delivery system. Provide and coordinate nursing care for the patient in collaboration with the Health Care team. The Registered Nurse is an integral member of the Health Care team, overseeing and participating in patient assessment and the formulation and implementation of the care plan. The Urgent Care RN will provide care in a fast-paced, high-acuity environment that acts similarly to a free-standing emergency department. Patient populations will include all ages, from neonates to geriatrics. Care will also include a large variety of chief complaints ranging from neurological, cardiac, and minor injury or illness. Ability to quickly prioritize and use critical thinking and clinical judgement to provide emergent and urgent care. Ability to work collaboratively with providers and other Urgent Care staff to provide high-quality patient care. Essential Responsibilities: Using the nursing process, provides ongoing assessment of the nursing care needs of a defined group of patients. Uses nursing diagnosis to describe this assessment. Develops a written plan of care for patient care needs. Assists patients and families/significant others in developing health care goals which are part of the individualized plan of care. Determines priorities of patient care based on essential patient needs and available resources. Provides nursing interventions safely and competently. Provides the patient and family/significant others with information preceding interventions. Provides telephone consultation to patients and family/significant others Provides ongoing evaluation of the patients response to care. Anticipates and recognizes changes in the patients status and need for nursing care. Modifies the individual plan of care in collaboration with the health care team. Demonstrates understanding of the physiologic and psychological effects of normal aging by assessing, planning, implementing and evaluating care to meet the needs of those populations served. Demonstrates effective communication skills with those specific age populations served. Identifies own learning needs and participates in educational programs related to those age-specific patient populations served (Neonatal, Pediatric, Adolescent, Geriatric). Collaborates, communicates and coordinates with other health care team members in planning and implementing care. Assesses the needs of designated patients requiring hospitalization; initiates nursing admission database and discharge planning in collaboration with inpatient staff and physician. Cooperates and communicates effectively with other team members in order to accomplish the workload. Communicates recognition of the patients and family/significant others psychosocial, cultural and emotional needs in each nurse-patient interaction. Orients patients and family/significant others to the role of the professional nurse and other health care team members, the nursing services available, and the means of access to those services. Reinforces orientation to the Consumer Bill of Rights and Responsibilities. Identifies the patients educational needs as part of the nursing assessment. Develops an educational component for each nursing care plan. Provides teaching/counseling congruent with patients and family/significant others learning needs and the medical plan of care. Encourages patient compliance with therapeutic and medical regimens. Teaching is based on scientific and behavioral knowledge. Assesses patient lifestyle risk factors. Integrates health promotion and preventive aspects of care with the ongoing assessment of nursing care needs. Works with patient to develop a plan to improve general health status. Implements physical and psychological preventive measures. Promotes patient self-care responsibility for meeting their own health needs. Adheres to KFHPW documentation standards. Provides a safe environment for each patient and adheres to KFHPW safety standards. Adheres to KFHPW infection control standards and guidelines, including the guidelines for reporting communicable diseases. Identifies own learning needs and participates in continued education programs to meet those needs. Participates in staff orientation and student education activities. Collaborates with managers in completing the process for self and colleague/team performance reviews. Assures quality of care through development, implementation and evaluation of professional nursing standards and participation in multidisciplinary quality assurance activities. Participates in professional activities. Participates in nursing research and incorporates research findings into nursing practice. Adheres to KFHPW personnel policies and maintains a high standard of professional work habits. Consistently demonstrates an appearance consistent with current KFHPW dress code policy. Basic Qualifications: Experience Education Associates degree in Nursing from an accredited program. License, Certification, Registration Registered Nurse License (Washington) required at hire OR Compact License: Registered Nurse required at hire Basic Life Support required at hire Pediatric Advanced Life Support within 6 months of hire Advanced Cardiac Life Support required at hire Additional Requirements: Communication, problem-solving, leadership and decision-making skills. Preferred Qualifications: Ambulatory care nursing experience. Primary nursing or case-management experience. Bachelor of science in Nursing (BSN). Emergency department nursing experience. Pediatric Advanced Life Support at hire.
Description: Keep our engineers building the equipment that powers North America Since 1927, Sherman + Reilly has designed and manufactured the pullers, tensioners, reel trailers, and stringing blocks that electric utility crews trust to string transmission and distribution lines safely across the continent. Behind every machine is a team of mechanical, electrical, and design engineers and behind that team is the CAD and PDM environment that lets them do their best work. That environment is where you come in. We're looking for a CAD/PDM Systems Administrator to be the technical owner of our engineering design toolset: the person who keeps SolidWorks fast, the PDM vault healthy, the workstations dialed in, and engineering data flowing cleanly into the systems that build our products. This is a hands-on, individual-contributor role. You will manage platforms, applications, and data supporting a close-knit team of roughly 20 designers and engineers who depend on you to keep them productive. What you'll own Be the SME. Serve as our single, authoritative expert for SolidWorks, eDrawings, and SolidWorks PDM. The final escalation point for CAD/PDM issues and the trusted advisor to engineering and IT leadership on standards, strategy, and tooling. Administer the CAD software. Deploy and maintain SolidWorks and add-ins across the engineering fleet, roll out upgrades and service packs, standardize settings and templates, and validate every change in a dedicated test environment before it reaches production. Run the PDM vault. Own permissions, workflows, revision and lifecycle schemes, data cards, backups, and replication. Design release processes with Document Control, onboard new users, and keep the vault healthy. Optimize the workstations. Specify, configure, and tune engineering-class workstations for CAD, large-assembly, and FEA workloads. Maintain certified GPU driver, BIOS, and firmware standards and build repeatable deployment images. Own performance and reliability. Establish baselines and benchmarks, monitor stability and crash telemetry, drive root-cause analysis, and plan capacity and hardware refresh cycles ahead of demand. Connect the data. Support the Bill of Material (BOM) process and tooling, maintain CAD/PDM-to-ERP integrations, and close gaps in part numbering, metadata, and BOM structure, automating repetitive tasks through scripting and APIs where it helps. Manage licensing and documentation. Track SolidWorks (SolidNetWork License Manager) and third-party licenses for allocation, renewals, and audit readiness, and keep clear work instructions and standards that the whole team can follow. Support the broader toolset. Be the go-to resource for the other software and specialized hardware the engineering team relies on, including third-party applications and 3D printers. Requirements: What you bring Associate's or Bachelor's degree in Engineering, Engineering Technology, Computer Science, IT, or equivalent experience 5+ years hands-on administering and supporting SolidWorks in a production engineering environment Demonstrated SolidWorks PDM administration experience, vault setup, workflows, permissions, and troubleshooting Working knowledge of engineering-class workstation hardware, GPU/driver management, and Windows optimization Experience supporting the BOM process and an understanding of engineering data structures Strong root-cause troubleshooting across software, hardware, and integration layers Excellent documentation and communication skills, with the patience to support and train non-technical engineers Nice to have Experience integrating CAD/PDM data with ERP or PLM platforms (e.g., SAP) SolidWorks certifications (CSWP/CSWE) or PDM administration certification PowerShell or similar scripting for automation and configuration management Familiarity with manufacturing environments - wire, cable, or heavy equipment a plus Exposure to FEA/simulation workloads and workstation tuning Experience with endpoint management (Intune/Autopilot), Active Directory, and enterprise security tooling Why Sherman + Reilly Your work has weight. The engineers you support design equipment that keeps line crews safe and the grid energized. You'll see the impact on the shop floor, not just on a dashboard. Real ownership. This is the CAD/PDM role. You'll set the standards, make the tooling decisions, and be the expert the team turns to with the autonomy to do it right. A company that lasts. Nearly a century of manufacturing in Chattanooga, and a reputation as North America's leading name in line-stringing equipment. On-site and grounded. You'll work alongside the engineering team in our Chattanooga facility, with occasional time on the manufacturing floor where the products come to life. Planned system maintenance is scheduled outside core hours (Mon-Fri, 6:00 AM-5:00 PM) so our engineers stay productive. Ready to apply? If you're the person who genuinely enjoys making CAD and PDM systems run flawlessly and wants that work to matter we'd like to hear from you. Apply with your resume and a short note about your SolidWorks and PDM administration experience. Sherman + Reilly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Recruiter Notice: Sherman + Reilly does not accept unsolicited resumes from recruiters or staffing agencies. Any unsolicited resumes submitted to our employees, hiring managers, or Human Resources will become the property of Sherman + Reilly, and no placement fee or other compensation will be paid. PI3be8d9aca39a-5137
07/28/2026
Full time
Description: Keep our engineers building the equipment that powers North America Since 1927, Sherman + Reilly has designed and manufactured the pullers, tensioners, reel trailers, and stringing blocks that electric utility crews trust to string transmission and distribution lines safely across the continent. Behind every machine is a team of mechanical, electrical, and design engineers and behind that team is the CAD and PDM environment that lets them do their best work. That environment is where you come in. We're looking for a CAD/PDM Systems Administrator to be the technical owner of our engineering design toolset: the person who keeps SolidWorks fast, the PDM vault healthy, the workstations dialed in, and engineering data flowing cleanly into the systems that build our products. This is a hands-on, individual-contributor role. You will manage platforms, applications, and data supporting a close-knit team of roughly 20 designers and engineers who depend on you to keep them productive. What you'll own Be the SME. Serve as our single, authoritative expert for SolidWorks, eDrawings, and SolidWorks PDM. The final escalation point for CAD/PDM issues and the trusted advisor to engineering and IT leadership on standards, strategy, and tooling. Administer the CAD software. Deploy and maintain SolidWorks and add-ins across the engineering fleet, roll out upgrades and service packs, standardize settings and templates, and validate every change in a dedicated test environment before it reaches production. Run the PDM vault. Own permissions, workflows, revision and lifecycle schemes, data cards, backups, and replication. Design release processes with Document Control, onboard new users, and keep the vault healthy. Optimize the workstations. Specify, configure, and tune engineering-class workstations for CAD, large-assembly, and FEA workloads. Maintain certified GPU driver, BIOS, and firmware standards and build repeatable deployment images. Own performance and reliability. Establish baselines and benchmarks, monitor stability and crash telemetry, drive root-cause analysis, and plan capacity and hardware refresh cycles ahead of demand. Connect the data. Support the Bill of Material (BOM) process and tooling, maintain CAD/PDM-to-ERP integrations, and close gaps in part numbering, metadata, and BOM structure, automating repetitive tasks through scripting and APIs where it helps. Manage licensing and documentation. Track SolidWorks (SolidNetWork License Manager) and third-party licenses for allocation, renewals, and audit readiness, and keep clear work instructions and standards that the whole team can follow. Support the broader toolset. Be the go-to resource for the other software and specialized hardware the engineering team relies on, including third-party applications and 3D printers. Requirements: What you bring Associate's or Bachelor's degree in Engineering, Engineering Technology, Computer Science, IT, or equivalent experience 5+ years hands-on administering and supporting SolidWorks in a production engineering environment Demonstrated SolidWorks PDM administration experience, vault setup, workflows, permissions, and troubleshooting Working knowledge of engineering-class workstation hardware, GPU/driver management, and Windows optimization Experience supporting the BOM process and an understanding of engineering data structures Strong root-cause troubleshooting across software, hardware, and integration layers Excellent documentation and communication skills, with the patience to support and train non-technical engineers Nice to have Experience integrating CAD/PDM data with ERP or PLM platforms (e.g., SAP) SolidWorks certifications (CSWP/CSWE) or PDM administration certification PowerShell or similar scripting for automation and configuration management Familiarity with manufacturing environments - wire, cable, or heavy equipment a plus Exposure to FEA/simulation workloads and workstation tuning Experience with endpoint management (Intune/Autopilot), Active Directory, and enterprise security tooling Why Sherman + Reilly Your work has weight. The engineers you support design equipment that keeps line crews safe and the grid energized. You'll see the impact on the shop floor, not just on a dashboard. Real ownership. This is the CAD/PDM role. You'll set the standards, make the tooling decisions, and be the expert the team turns to with the autonomy to do it right. A company that lasts. Nearly a century of manufacturing in Chattanooga, and a reputation as North America's leading name in line-stringing equipment. On-site and grounded. You'll work alongside the engineering team in our Chattanooga facility, with occasional time on the manufacturing floor where the products come to life. Planned system maintenance is scheduled outside core hours (Mon-Fri, 6:00 AM-5:00 PM) so our engineers stay productive. Ready to apply? If you're the person who genuinely enjoys making CAD and PDM systems run flawlessly and wants that work to matter we'd like to hear from you. Apply with your resume and a short note about your SolidWorks and PDM administration experience. Sherman + Reilly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Recruiter Notice: Sherman + Reilly does not accept unsolicited resumes from recruiters or staffing agencies. Any unsolicited resumes submitted to our employees, hiring managers, or Human Resources will become the property of Sherman + Reilly, and no placement fee or other compensation will be paid. PI3be8d9aca39a-5137
JOB SUMMARY The Production Manager is responsible for all aspects of the Production and Production Warehouse departments at multiple locations and is the key contact for all IT/technical issues. The Production Manager also creates, monitors and manages expense and capital budgets, leads associates and manages all aspects of employee engagement. RESPONSIBILITIES Develop and maintain production plans to ensure orders are completed on time Determine the headcount requirements and labor utilization needed to achieve production and business goals Schedule equipment and team resources needed to support each production plan Track component yield rates ensuring that actual results meet or exceed business goals Manage work order maintenance ensuring that work orders are audited and closed inappropriate fiscal periods Set performance metrics for each department to track and monitor productivity Ensure metrics support business goals Benchmark metrics utilizing both internal and external resources Develop and monitor annual department budgets Plan and manage resources to achieve budget goals while delivering the required output • Track actual expenses vs budget Assure that department expenses are in line with budget goals Direct, coordinate and monitor the daily activities & performance standards for Production and Production Warehouse departments to assure compliance of standard Company policies, procedures, quality, and safety Coach and develop Supervisors and team in balancing the delivery of high productivity, quality and customer service Maintain a positive and safe work environment. Oversee employee relations and participate in staff selection, performance and compensation evaluations, corrective action and terminations, as necessary Establish performance goals, monitor progress and provide feedback as necessary Manage employee performance through motivation, delegation, development, mentoring and resolving conflict Take corrective action as necessary on a timely basis and in accordance with company policy Develop, provide and/or coordinate training as needed Consult with Human Resources Department as appropriate Conduct regular department meetings to foster employee engagement, communicate any changes to company policies and procedures, address employee concerns, foster idea-sharing and suggestions for improvement Order/procure materials and services as needed Serve as key IT, telecom and systems contact for the business unit Identify and implement key areas for improvement in each department Maintain a presence and availability across all shifts Provide and maintain a safe work environment by directing safety training, generating and reviewing Standard Operating Procedures (SOP) Coordinate emergency response or crisis management activities Coordinate efforts with the Safety Department to aid in training, conducting associate observations, updating preferred work methods, conducting accident investigations to determine root causes and routine safety inspections QUALIFICATIONS Education High School diploma or general education degree (GED) required Bachelor of Science in a Business Management preferred Experience 7+ years of Production and/or Manufacturing in a food environment of which at least 2 are leading a team. HACCP and GMP certifications preferred. Skills Excellent communication (verbal and written), interpersonal and professional interactive skills are necessary to perform at a high degree of proficiency Ability to effectively coach, present information and respond to questions from management, inter-department staff, customers, suppliers and other third party agencies • Capable of working with internal staff from other departments in a proactive and constructive manner Ability to mentor and develop individuals and teams. Able to engage and lead team discussions and meetings Understands team dynamics and works well within a team structure. Collaborative management style. Delegates responsibilities effectively Strong organizational and project management skills, including the ability to plan, prioritize and execute multiple initiatives/deadlines autonomously and shift priorities as necessary Able to manage large, complex projects. Uses time effectively Customer Service - Respond promptly to requests for service and assistance as needed. Follow up as needed Problem Solving - Identifies and resolves problems in a timely manner. Gathers and analyzes information skillfully. Develops alternative solutions Judgment - Displays willingness to make decisions. Exhibits sound and accurate judgment. Makes timely decisions Professionalism - Approaches others in a tactful manner. Reacts well under pressure. Follows through on commitments Detail Oriented - Attention to details and accuracy Ability to understand and execute all relevant policies and procedures in a consistent, timely and objective manner Proficient use of MS Office (Word, Excel, PowerPoint, and Outlook) and scheduling software Detailed knowledge of ERP and WMS systems High level of understanding financial reports Ability to understand and work with relational databases Bi-lingual English/Spanish a plus Physical Demands and Work Environment The physical, mental, and environmental conditions in which the work is performed. The demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sit, stand, walk and use hands and fingers to operate a computer keyboard, mouse, and telephone to talk and hear The employee is frequently required to sit and reach with hands and arms The employee is occasionally required to lift up to 20 pounds Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus While this position will primarily work in a manufacturing environment, this position will require travel There is periodic overnight travel required and specifically pertains to overseeing production launches, company events, staff meetings, training sessions & vendor fairs May be required to utilize personal vehicle for business travel that may result in long periods of sitting Must maintain a valid driver license and proof of automobile insurance coverage as set forth by Sysco The noise level in the work environment is usually moderate This position may require evening and weekend work depending on business needs
07/28/2026
Full time
JOB SUMMARY The Production Manager is responsible for all aspects of the Production and Production Warehouse departments at multiple locations and is the key contact for all IT/technical issues. The Production Manager also creates, monitors and manages expense and capital budgets, leads associates and manages all aspects of employee engagement. RESPONSIBILITIES Develop and maintain production plans to ensure orders are completed on time Determine the headcount requirements and labor utilization needed to achieve production and business goals Schedule equipment and team resources needed to support each production plan Track component yield rates ensuring that actual results meet or exceed business goals Manage work order maintenance ensuring that work orders are audited and closed inappropriate fiscal periods Set performance metrics for each department to track and monitor productivity Ensure metrics support business goals Benchmark metrics utilizing both internal and external resources Develop and monitor annual department budgets Plan and manage resources to achieve budget goals while delivering the required output • Track actual expenses vs budget Assure that department expenses are in line with budget goals Direct, coordinate and monitor the daily activities & performance standards for Production and Production Warehouse departments to assure compliance of standard Company policies, procedures, quality, and safety Coach and develop Supervisors and team in balancing the delivery of high productivity, quality and customer service Maintain a positive and safe work environment. Oversee employee relations and participate in staff selection, performance and compensation evaluations, corrective action and terminations, as necessary Establish performance goals, monitor progress and provide feedback as necessary Manage employee performance through motivation, delegation, development, mentoring and resolving conflict Take corrective action as necessary on a timely basis and in accordance with company policy Develop, provide and/or coordinate training as needed Consult with Human Resources Department as appropriate Conduct regular department meetings to foster employee engagement, communicate any changes to company policies and procedures, address employee concerns, foster idea-sharing and suggestions for improvement Order/procure materials and services as needed Serve as key IT, telecom and systems contact for the business unit Identify and implement key areas for improvement in each department Maintain a presence and availability across all shifts Provide and maintain a safe work environment by directing safety training, generating and reviewing Standard Operating Procedures (SOP) Coordinate emergency response or crisis management activities Coordinate efforts with the Safety Department to aid in training, conducting associate observations, updating preferred work methods, conducting accident investigations to determine root causes and routine safety inspections QUALIFICATIONS Education High School diploma or general education degree (GED) required Bachelor of Science in a Business Management preferred Experience 7+ years of Production and/or Manufacturing in a food environment of which at least 2 are leading a team. HACCP and GMP certifications preferred. Skills Excellent communication (verbal and written), interpersonal and professional interactive skills are necessary to perform at a high degree of proficiency Ability to effectively coach, present information and respond to questions from management, inter-department staff, customers, suppliers and other third party agencies • Capable of working with internal staff from other departments in a proactive and constructive manner Ability to mentor and develop individuals and teams. Able to engage and lead team discussions and meetings Understands team dynamics and works well within a team structure. Collaborative management style. Delegates responsibilities effectively Strong organizational and project management skills, including the ability to plan, prioritize and execute multiple initiatives/deadlines autonomously and shift priorities as necessary Able to manage large, complex projects. Uses time effectively Customer Service - Respond promptly to requests for service and assistance as needed. Follow up as needed Problem Solving - Identifies and resolves problems in a timely manner. Gathers and analyzes information skillfully. Develops alternative solutions Judgment - Displays willingness to make decisions. Exhibits sound and accurate judgment. Makes timely decisions Professionalism - Approaches others in a tactful manner. Reacts well under pressure. Follows through on commitments Detail Oriented - Attention to details and accuracy Ability to understand and execute all relevant policies and procedures in a consistent, timely and objective manner Proficient use of MS Office (Word, Excel, PowerPoint, and Outlook) and scheduling software Detailed knowledge of ERP and WMS systems High level of understanding financial reports Ability to understand and work with relational databases Bi-lingual English/Spanish a plus Physical Demands and Work Environment The physical, mental, and environmental conditions in which the work is performed. The demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sit, stand, walk and use hands and fingers to operate a computer keyboard, mouse, and telephone to talk and hear The employee is frequently required to sit and reach with hands and arms The employee is occasionally required to lift up to 20 pounds Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus While this position will primarily work in a manufacturing environment, this position will require travel There is periodic overnight travel required and specifically pertains to overseeing production launches, company events, staff meetings, training sessions & vendor fairs May be required to utilize personal vehicle for business travel that may result in long periods of sitting Must maintain a valid driver license and proof of automobile insurance coverage as set forth by Sysco The noise level in the work environment is usually moderate This position may require evening and weekend work depending on business needs
The Manager, Marketing Technology is pivotal to the Data-Driven eXperience (DDX) team, responsible for overseeing marketing technology/database operations and new development as well as coordinating a matrixed team in executing all DDX deliverables across marketing automation, customer insights + visualization, and marketing measurement. The Manager, Marketing Technology will define and oversee processes for intake and workflow, quality control, governance, and documentation across the full DDX team. These efforts will support Sherwin-Williams in driving greater insights, personalization, engagement, and improved lead nurturing for all business-to-business marketsegments (Residential Repaint, New Residential, Commercial, Multi-Family, Healthcare and Hospitality),as well as thedirect-to-consumer market segment(Do It Yourself). This role is remote eligible and will report to our Cleveland, OH Headquarters location. Core Responsibilities Marketing Database/MarTech Development and Operations. Leading a team of four internal resources and/or overseeing an external agency partner(s) in: Customer data strategy/architecture/infrastructure/integration design and development, such as Provide insight & technology recommendations that result in solutions to critical business problems Design, implement and document multi-platform architectures with a focus on performance, flexibility, reliability, scalability, and identity resolution Identify architectural risks and create plans to mitigate risks Program scoping, development and implementation related to data integration, aggregation, availability, and processing to drive and enable actionable insights from complex data sets by working with appropriate team members and stakeholders Oversee the development of the database mapping and migration process of legacy data to new systems Identify and resolve production and application issues by determining and pursuing best courses of necessary action Provide support to team members by responding to user questions, resolving issues, and troubleshooting Monitor the system performance by performing root cause analysis and integrating new features MarTech application strategy/architecture/infrastructure/integration design and development, such as Having an overall understanding of how data flows throughout the MarTech stack and why each element of a system is chosen. Safely set up, integrate and administers tools, ensuring the marketing team understands why the setup was done in such a way and how this setup matches and can improve/automate marketing processes beyond top-of-funnel activities Plan how the next version of the stack will manifest to accomplish business goals Ability to assess tools/vendor's value. Consider tools/vendors that could solve a problem and work closely cross-functionally and lead efforts to ensure the right marketing problems are defined and considered during the assessment phase. Establish vendor relationships based on business needs and the MarTech landscape. Project management through intake, prioritization, enablement and management. Ability to train teams hire and train teams to meet MarTech needs and grow effectively. You must build and maintain a team that develops diverse competencies, avoiding reliance on one platform or method. The goal is to align marketing processes with technology to enhance both and achieve overall business objectives. Day-to-day monitoring and operations of the Marketing Database and associated software and infrastructure, including: Ensuring daily delivery and ingestion of all assigned relevant files/data integrations (primary digital sources), monitoring for issues and optimization opportunities Coordinating with internal IT resources and external agencies in troubleshooting data delivery issues Ensuring and approving access to the marketing database and tools for appropriate internal resources Actively managing data queries in ongoing UAT processes and other testing Facilitating across DDX team resources, external marketing database provider, and Sherwin-Williams IT teams to troubleshoot data discrepancies and ensure clear data understanding Recommending additional controls for implementation by identifying issues, and writing improved procedures Improving systems by understanding current practices, proposing and optimizations and modifications as needed Providing updates to users on database issues, updates, and key projects and tasks Facilitating collaboration other PSG departments and teams, to ensure all business objectives and requirements are documented and translated for all parties to understand, including: Build relationships with key business and technology stakeholders across the organization Gathering requirements, test files and assisting in the delivery of additional database development phases, specifically integration of new digital data sources and adaptation of existing infrastructure to accommodate new data Documentation Cross-functional alignment throughout the process Stakeholder support, including answering questions and providing summaries to queries and data access as appropriate Providing DDX "consultation" for marketing technologies/processes not directly under DDX's purview Ensure alignment on data business rules and key aggregates Ensure compliance with privacy and other internal policies as appropriate, including regional, national, and international legislation Own and prepare technical/data summary reports from start to finish; from building the query, collecting and analyzing the data, and summarizing the information and trends for the final audience DDX Marketing Operations & Executional Excellence. Providing leadership across the full, matrixed DDX team and external agency partner(s) in scheduling, process and validation of DDX deliverables across marketing automation, customer insights + visualization and marketing measurement: Develops, implements and oversees adherence to executional processes, such as: Access and governance Documentation requirements and processes for managing, storing documentation (GitHub, etc.) Peer Review and Other Processes for QC and validation; establishing and enforcing stage gates for release of deliverables Standardization of business rules, and technical requirements across deliverables (ex: CAC inclusions/exclusions by deliverable type, standardization of flags, standardization of account counting logic) EDUCATION: Required: Bachelor's Degree Preferred: Bachelor's Degree in Computer Science, Information Technology, Math, Software Engineering or related field
07/28/2026
The Manager, Marketing Technology is pivotal to the Data-Driven eXperience (DDX) team, responsible for overseeing marketing technology/database operations and new development as well as coordinating a matrixed team in executing all DDX deliverables across marketing automation, customer insights + visualization, and marketing measurement. The Manager, Marketing Technology will define and oversee processes for intake and workflow, quality control, governance, and documentation across the full DDX team. These efforts will support Sherwin-Williams in driving greater insights, personalization, engagement, and improved lead nurturing for all business-to-business marketsegments (Residential Repaint, New Residential, Commercial, Multi-Family, Healthcare and Hospitality),as well as thedirect-to-consumer market segment(Do It Yourself). This role is remote eligible and will report to our Cleveland, OH Headquarters location. Core Responsibilities Marketing Database/MarTech Development and Operations. Leading a team of four internal resources and/or overseeing an external agency partner(s) in: Customer data strategy/architecture/infrastructure/integration design and development, such as Provide insight & technology recommendations that result in solutions to critical business problems Design, implement and document multi-platform architectures with a focus on performance, flexibility, reliability, scalability, and identity resolution Identify architectural risks and create plans to mitigate risks Program scoping, development and implementation related to data integration, aggregation, availability, and processing to drive and enable actionable insights from complex data sets by working with appropriate team members and stakeholders Oversee the development of the database mapping and migration process of legacy data to new systems Identify and resolve production and application issues by determining and pursuing best courses of necessary action Provide support to team members by responding to user questions, resolving issues, and troubleshooting Monitor the system performance by performing root cause analysis and integrating new features MarTech application strategy/architecture/infrastructure/integration design and development, such as Having an overall understanding of how data flows throughout the MarTech stack and why each element of a system is chosen. Safely set up, integrate and administers tools, ensuring the marketing team understands why the setup was done in such a way and how this setup matches and can improve/automate marketing processes beyond top-of-funnel activities Plan how the next version of the stack will manifest to accomplish business goals Ability to assess tools/vendor's value. Consider tools/vendors that could solve a problem and work closely cross-functionally and lead efforts to ensure the right marketing problems are defined and considered during the assessment phase. Establish vendor relationships based on business needs and the MarTech landscape. Project management through intake, prioritization, enablement and management. Ability to train teams hire and train teams to meet MarTech needs and grow effectively. You must build and maintain a team that develops diverse competencies, avoiding reliance on one platform or method. The goal is to align marketing processes with technology to enhance both and achieve overall business objectives. Day-to-day monitoring and operations of the Marketing Database and associated software and infrastructure, including: Ensuring daily delivery and ingestion of all assigned relevant files/data integrations (primary digital sources), monitoring for issues and optimization opportunities Coordinating with internal IT resources and external agencies in troubleshooting data delivery issues Ensuring and approving access to the marketing database and tools for appropriate internal resources Actively managing data queries in ongoing UAT processes and other testing Facilitating across DDX team resources, external marketing database provider, and Sherwin-Williams IT teams to troubleshoot data discrepancies and ensure clear data understanding Recommending additional controls for implementation by identifying issues, and writing improved procedures Improving systems by understanding current practices, proposing and optimizations and modifications as needed Providing updates to users on database issues, updates, and key projects and tasks Facilitating collaboration other PSG departments and teams, to ensure all business objectives and requirements are documented and translated for all parties to understand, including: Build relationships with key business and technology stakeholders across the organization Gathering requirements, test files and assisting in the delivery of additional database development phases, specifically integration of new digital data sources and adaptation of existing infrastructure to accommodate new data Documentation Cross-functional alignment throughout the process Stakeholder support, including answering questions and providing summaries to queries and data access as appropriate Providing DDX "consultation" for marketing technologies/processes not directly under DDX's purview Ensure alignment on data business rules and key aggregates Ensure compliance with privacy and other internal policies as appropriate, including regional, national, and international legislation Own and prepare technical/data summary reports from start to finish; from building the query, collecting and analyzing the data, and summarizing the information and trends for the final audience DDX Marketing Operations & Executional Excellence. Providing leadership across the full, matrixed DDX team and external agency partner(s) in scheduling, process and validation of DDX deliverables across marketing automation, customer insights + visualization and marketing measurement: Develops, implements and oversees adherence to executional processes, such as: Access and governance Documentation requirements and processes for managing, storing documentation (GitHub, etc.) Peer Review and Other Processes for QC and validation; establishing and enforcing stage gates for release of deliverables Standardization of business rules, and technical requirements across deliverables (ex: CAC inclusions/exclusions by deliverable type, standardization of flags, standardization of account counting logic) EDUCATION: Required: Bachelor's Degree Preferred: Bachelor's Degree in Computer Science, Information Technology, Math, Software Engineering or related field
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Defense, Space & Security (BDS) is looking for a Mission Systems Integration Manager supporting an Air Dominance Fixed Wing Proprietary Program located in Berkeley, MO. In this role, you will lead a talented team in developing advanced Mission Systems capabilities that protect our nation and allies, utilizing modern hardware and software development practices such as: Model Based Systems Engineering (MBSE), DevSecOps, and Agile development methodologies. We seek a self-starter who is highly motivated and willing to take intelligent risks to achieve engineering and program objectives. The ideal candidate thrives in fast-paced, multi-discipline environments and can make frequent management decisions in the best interest of the business. You will ensure the systems engineering, technical integrity, and quality of Advanced Mission Systems Capabilities. If you are ready to take on a leadership role in a dynamic environment, we invite you to apply and help shape the future of aerospace technology. Why Join Us: Impactful Work: Be part of a team that plays a crucial role in ensuring the safety and security of our nation. Your work will directly contribute to the development of advanced military capabilities. Innovative Environment: Collaborate with a diverse group of talented professionals who are dedicated to pushing the boundaries of technology and engineering excellence. Career Growth: We are committed to your professional development. Benefit from mentorship opportunities, tuition reimbursement program, and a culture that encourages continuous learning and innovation. Position Responsibilities: Team Leadership: Leads individual contributors performing engineering and technical activities associated with Advanced Mission Systems Capability Development which includes requirements decomposition, software development, and integration & test. Team Execution; Drive programmatic execution for Mission Systems Capability Developments. Develop, track and communicate metrics to quantify technical and business performance, organize all EVM reporting and analysis. Customer Engagement: Interface daily with customers and Boeing program office teams. Safety Oversight: Ensure personnel and product safety related to design, production, and operation of integrated capabilities. Technical Oversight & Engineering Excellence: Establish a culture of proactive technical oversight and risk management while ensuring systems engineering, technical integrity, and mission assurance for Mission Systems Capabilities Process Improvement: Implement and enforce engineering functional excellence in people, processes, tools, and practices, while continuously assessing and updating engineering processes for improvement. Cross-Functional Collaboration: Work with functional counterparts to ensure process inputs and outputs meet requirements. Supplier Execution: Provides Technical Management of Supplier Execution Compliance: Ensure engineering efforts are executed in compliance with established requirements and plans. Mentorship & Development: Develop employees' skills through coaching, mentoring, and performance evaluations Resource Planning: Plan and coordinate allocation of resources to meet program goals. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position requires the ability to obtain a US Secret Security Clearance for which the US Government requires US Citizenship. A final Secret Clearance Post-Start is required. Basic Qualifications (Required Skill/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry 5 years' related work experience; or an equivalent combination of education and experience Candidates must have at least one year of experience in a leadership role (team leader, temp manager, large scale cross functional project/program management, or formal manager experience) OR have completed the Boeing internal course "Exploring Leadership." Preferred Qualifications (Desired Skills/Experience): Master's degree or higher 3+ years of experience in leading Mission Systems development and Integration Experience integrating Mission Systems equipment Experience with Mission Systems Open Architecture Standards Experience executing in an Agile work environment and implementing Agile Methodologies Demonstrated experience communicating effectively at multiple levels (peers, executive leaders, and customers) Proven track record of execution in a development environment Experience with modern software development methodologies to include DevSecOps and CI/CD pipelines Experience working in MSOSA or similar Model Based Systems Engineering tools Experience across multiple phases of the product life-cycle Experience applying Program Management Best Practices (PMBPs) to include project planning / scheduling and applying Earned Value Management (EVM). Conflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process. Education: Manager (Level K): Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Shift: This position is for 1st shift. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level K (Manager): $141,100 - $190,900 Applications for this position will be accepted until Aug. 11, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender . click apply for full job details
07/28/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Defense, Space & Security (BDS) is looking for a Mission Systems Integration Manager supporting an Air Dominance Fixed Wing Proprietary Program located in Berkeley, MO. In this role, you will lead a talented team in developing advanced Mission Systems capabilities that protect our nation and allies, utilizing modern hardware and software development practices such as: Model Based Systems Engineering (MBSE), DevSecOps, and Agile development methodologies. We seek a self-starter who is highly motivated and willing to take intelligent risks to achieve engineering and program objectives. The ideal candidate thrives in fast-paced, multi-discipline environments and can make frequent management decisions in the best interest of the business. You will ensure the systems engineering, technical integrity, and quality of Advanced Mission Systems Capabilities. If you are ready to take on a leadership role in a dynamic environment, we invite you to apply and help shape the future of aerospace technology. Why Join Us: Impactful Work: Be part of a team that plays a crucial role in ensuring the safety and security of our nation. Your work will directly contribute to the development of advanced military capabilities. Innovative Environment: Collaborate with a diverse group of talented professionals who are dedicated to pushing the boundaries of technology and engineering excellence. Career Growth: We are committed to your professional development. Benefit from mentorship opportunities, tuition reimbursement program, and a culture that encourages continuous learning and innovation. Position Responsibilities: Team Leadership: Leads individual contributors performing engineering and technical activities associated with Advanced Mission Systems Capability Development which includes requirements decomposition, software development, and integration & test. Team Execution; Drive programmatic execution for Mission Systems Capability Developments. Develop, track and communicate metrics to quantify technical and business performance, organize all EVM reporting and analysis. Customer Engagement: Interface daily with customers and Boeing program office teams. Safety Oversight: Ensure personnel and product safety related to design, production, and operation of integrated capabilities. Technical Oversight & Engineering Excellence: Establish a culture of proactive technical oversight and risk management while ensuring systems engineering, technical integrity, and mission assurance for Mission Systems Capabilities Process Improvement: Implement and enforce engineering functional excellence in people, processes, tools, and practices, while continuously assessing and updating engineering processes for improvement. Cross-Functional Collaboration: Work with functional counterparts to ensure process inputs and outputs meet requirements. Supplier Execution: Provides Technical Management of Supplier Execution Compliance: Ensure engineering efforts are executed in compliance with established requirements and plans. Mentorship & Development: Develop employees' skills through coaching, mentoring, and performance evaluations Resource Planning: Plan and coordinate allocation of resources to meet program goals. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position requires the ability to obtain a US Secret Security Clearance for which the US Government requires US Citizenship. A final Secret Clearance Post-Start is required. Basic Qualifications (Required Skill/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry 5 years' related work experience; or an equivalent combination of education and experience Candidates must have at least one year of experience in a leadership role (team leader, temp manager, large scale cross functional project/program management, or formal manager experience) OR have completed the Boeing internal course "Exploring Leadership." Preferred Qualifications (Desired Skills/Experience): Master's degree or higher 3+ years of experience in leading Mission Systems development and Integration Experience integrating Mission Systems equipment Experience with Mission Systems Open Architecture Standards Experience executing in an Agile work environment and implementing Agile Methodologies Demonstrated experience communicating effectively at multiple levels (peers, executive leaders, and customers) Proven track record of execution in a development environment Experience with modern software development methodologies to include DevSecOps and CI/CD pipelines Experience working in MSOSA or similar Model Based Systems Engineering tools Experience across multiple phases of the product life-cycle Experience applying Program Management Best Practices (PMBPs) to include project planning / scheduling and applying Earned Value Management (EVM). Conflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process. Education: Manager (Level K): Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Shift: This position is for 1st shift. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level K (Manager): $141,100 - $190,900 Applications for this position will be accepted until Aug. 11, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender . click apply for full job details
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Specialist, Project Engineering- Power Systems Job Code: 37341 Job Location: Camden, NJ (On-Site) Schedule: 9/80 Regular (Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. L3Harris Technologies Power Systems is an agile defense technology innovator, delivering end-to-end solutions for the US Navy Shipbuilding programs. With capabilities in ship control systems, manufacturing and turn-key ship overhauls that meet customers' mission-critical needs. Job Description: The Sr. Specialist Project Engineer is responsible for the technical success of the project output within the constraints of the allocated budget and schedule. This position's role specifically is the technical management and coordination of engineering resources to achieve compliance with the customer technical requirements in the field of AC and DC power distribution and protection products. Product maturity ranges from refreshes of fielded systems to new product introduction. The position operates primarily as an individual contributor with occasional assignments as leader of a small multi-discipline team. Typical day to day responsibilities would be driving and managing the creation, review, and submittal of project artifacts such as plans, procedures, reports, design documents, and technical manuals. All major reviews are owned by this position. This position will work intimately with engineers to provide real-time support and guidance with respect to design, testing, or system requirements. To perform effectively, it is expected that this position be knowledgeable of system operations and understand end user needs. This position requires a person that is highly detail oriented, structured, well-organized, and can effectively communicate large amounts of data succinctly. Essential Functions: Engineering Development Drive good development processes and engineering best practices. Follow methodologies and tools provided to improve engineering excellence. Proposal Development Participate in and/or lead the proposal process for technical WBS definition, cost estimation, risk estimation, and technical schedule creation. Interpret RFP requirements and lead the creation of proposal technical approach and content. Project Management Lead detailed technical WBS definition, cost estimation, risk estimation, and technical schedule creation. Manage day-to-day technical aspects of the project, including cross-functional decision making, task/schedule management, issue resolution/escalation, communication, requirements management, and risk management activities. Activities overseen include software, digital, electrical power, mechanical, configuration management, and systems engineering. Participate in and/or lead activities to define system architecture and associated technical requirements. Conduct design reviews to ensure that product elements meet requirements (e.g., ConDr, SRR, PDR, CDR, TRR, SVR, peer reviews). Lead definition of technical development plans (e.g., HW Development Plan, SW Development Plan, Integration Test Plan). Lead efforts for unit testing, integration testing, verification testing, and pre-production (qualification) testing including efforts for defect tracking and correction. Support technical efforts for upgrade requests and change management for released products. Work with functional management to obtain and manage proper engineering staffing. Manage engineering budget and evaluate engineering Estimate to Complete. Identify to the Program Manager any cost growth and reasons for growth. Coordinate hand-off to Operations and Field Support efforts (in/out of house). Ability to obtain and maintain US DOD Secret Security Clearance, which requires US Citizenship. Qualifications: Bachelor's degree in related Engineering/Science field and a minimum of 6 years of prior related experience, Or, master's degree in progress in related Engineering/Science field and a minimum of 4 years of prior related experience, Or, in lieu of a degree, a minimum of 10 years of prior related technical and project management experience. 4+ years of experience of broad-based technical knowledge within a similar position in order to understand and evaluate design and development activity across the engineering functions. 4+ years of experience in managing the full life cycle of hardware/software products from concept to production including system architecture, design implementation, integration, and verification/validation. 4+ years of experience developing engineering processes such as lean product development, Design for X (DFX), Six Sigma concepts, product life cycle management, and systems engineering. 4+ years presenting technical presentations to leadership. 4+ years of experience analyzing the assigned project, breakdown work into functional disciplines and plan out a means for the work to be accomplished. Preferred Additional Skills: Preferred emphasis in Electrical Power Conversion Engineering, Systems Engineering experience highly desired. Specific experience in power distribution, generation and/or conversion equipment development preferred. Proficient in MS Office suite with emphasis in excel and project. Familiarity with the military/defense contracting environment. Strong practical organization, facilitation and arbitration skills. Proficient in CAD systems preferably SolidWorks. Experience with PLM tools (Agile). Experience with MRP systems (Cost Point). In compliance with pay transparency requirements, the salary range for this role is $106,500 - $197,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume . click apply for full job details
07/27/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Specialist, Project Engineering- Power Systems Job Code: 37341 Job Location: Camden, NJ (On-Site) Schedule: 9/80 Regular (Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. L3Harris Technologies Power Systems is an agile defense technology innovator, delivering end-to-end solutions for the US Navy Shipbuilding programs. With capabilities in ship control systems, manufacturing and turn-key ship overhauls that meet customers' mission-critical needs. Job Description: The Sr. Specialist Project Engineer is responsible for the technical success of the project output within the constraints of the allocated budget and schedule. This position's role specifically is the technical management and coordination of engineering resources to achieve compliance with the customer technical requirements in the field of AC and DC power distribution and protection products. Product maturity ranges from refreshes of fielded systems to new product introduction. The position operates primarily as an individual contributor with occasional assignments as leader of a small multi-discipline team. Typical day to day responsibilities would be driving and managing the creation, review, and submittal of project artifacts such as plans, procedures, reports, design documents, and technical manuals. All major reviews are owned by this position. This position will work intimately with engineers to provide real-time support and guidance with respect to design, testing, or system requirements. To perform effectively, it is expected that this position be knowledgeable of system operations and understand end user needs. This position requires a person that is highly detail oriented, structured, well-organized, and can effectively communicate large amounts of data succinctly. Essential Functions: Engineering Development Drive good development processes and engineering best practices. Follow methodologies and tools provided to improve engineering excellence. Proposal Development Participate in and/or lead the proposal process for technical WBS definition, cost estimation, risk estimation, and technical schedule creation. Interpret RFP requirements and lead the creation of proposal technical approach and content. Project Management Lead detailed technical WBS definition, cost estimation, risk estimation, and technical schedule creation. Manage day-to-day technical aspects of the project, including cross-functional decision making, task/schedule management, issue resolution/escalation, communication, requirements management, and risk management activities. Activities overseen include software, digital, electrical power, mechanical, configuration management, and systems engineering. Participate in and/or lead activities to define system architecture and associated technical requirements. Conduct design reviews to ensure that product elements meet requirements (e.g., ConDr, SRR, PDR, CDR, TRR, SVR, peer reviews). Lead definition of technical development plans (e.g., HW Development Plan, SW Development Plan, Integration Test Plan). Lead efforts for unit testing, integration testing, verification testing, and pre-production (qualification) testing including efforts for defect tracking and correction. Support technical efforts for upgrade requests and change management for released products. Work with functional management to obtain and manage proper engineering staffing. Manage engineering budget and evaluate engineering Estimate to Complete. Identify to the Program Manager any cost growth and reasons for growth. Coordinate hand-off to Operations and Field Support efforts (in/out of house). Ability to obtain and maintain US DOD Secret Security Clearance, which requires US Citizenship. Qualifications: Bachelor's degree in related Engineering/Science field and a minimum of 6 years of prior related experience, Or, master's degree in progress in related Engineering/Science field and a minimum of 4 years of prior related experience, Or, in lieu of a degree, a minimum of 10 years of prior related technical and project management experience. 4+ years of experience of broad-based technical knowledge within a similar position in order to understand and evaluate design and development activity across the engineering functions. 4+ years of experience in managing the full life cycle of hardware/software products from concept to production including system architecture, design implementation, integration, and verification/validation. 4+ years of experience developing engineering processes such as lean product development, Design for X (DFX), Six Sigma concepts, product life cycle management, and systems engineering. 4+ years presenting technical presentations to leadership. 4+ years of experience analyzing the assigned project, breakdown work into functional disciplines and plan out a means for the work to be accomplished. Preferred Additional Skills: Preferred emphasis in Electrical Power Conversion Engineering, Systems Engineering experience highly desired. Specific experience in power distribution, generation and/or conversion equipment development preferred. Proficient in MS Office suite with emphasis in excel and project. Familiarity with the military/defense contracting environment. Strong practical organization, facilitation and arbitration skills. Proficient in CAD systems preferably SolidWorks. Experience with PLM tools (Agile). Experience with MRP systems (Cost Point). In compliance with pay transparency requirements, the salary range for this role is $106,500 - $197,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume . click apply for full job details
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. The Data Center Capacity Delivery team is looking for exceptional individuals to join our organization as a Controls Manager, responsible for the building management systems and electrical power monitoring system (BMS/EPMS) deployment and service within Amazon data centers. If you are passionate about the Customer Experience, think and act globally and have the ability to contribute to major new innovations in the area of building controls and automation this is the challenge you are looking for! The ideal candidate will have experience managing a team of highly technically skilled individuals. The candidate will possess industrial Controls System experience, project management, mechanical, electrical or technology background that enables him/her to undertake the challenges of sophisticated controls platforms and a demonstrated ability to think broadly and strategically in aligning building controls and automation with the larger objectives of the business. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities - Manage onsite teams in the Pacific Northwest (Boardman, OR) - Travel up to 25% domestically - Implement and track team goals; report project status to stakeholders and leadership - Experienced interviewer; able to develop launch plans for new hires and identify team needs - Experienced in installation, programming, and troubleshooting of BMS/EPMS systems and/or industrial controls systems - Strong writing skills; able to articulate thoughts clearly and concisely - Understanding of electrical diagrams, control diagrams, building operations, control circuits, and industrial HVAC - Ability to ascertain customer needs to help develop project scope and specifications - Ability to manage project engineering to determine scope of work relative to design intent - Ability to read, interpret, and implement specifications as they apply to the work environment - Experience developing drawings for control panels, power distribution, and junction boxes including general arrangement, internal layout, schematics, and wiring diagrams - Experience developing logic diagrams for complex devices such as PLCs and Distributed Control Systems - Experience performing inspections, testing, and commissioning of facility systems - Coordinate project work internally and externally to ensure on-time, on-budget completion About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience leading Controls in manufacturing or complex industrial environments - Bachelor's degree in Mechanical Engineering, Electrical Engineering, or equivalent engineering science plus 10+ years of relevant controls experience, OR 14+ years of relevant controls experience in lieu of a degree - Experience working with cross-functional teams to deliver complex construction projects - 5+ years of experience directly managing, mentoring, leading, and coaching teams of controls professionals - 5+ years of experience hiring, promoting, disciplining, and developing teams of controls professionals - 6+ years of experience in controls management of large, complex projects involving large-scale mechanical, electrical, and controls systems - 6+ years of general contractor and vendor management experience (RFPs, bidding, change orders, quality control, RFI and submittal tracking) associated with controls and project execution - 5+ years of experience managing deployment of complex electrical and mechanical controls systems, including large-scale power distribution or generation and cooling systems PREFERRED QUALIFICATIONS - Master's degree in Mechanical Engineering, Electrical Engineering, or other engineering science - 8+ years directly managing, mentoring, leading, and coaching teams of controls professionals - 10+ years of project management and vendor management experience - 4+ years of experience in data center system-level architecture and electrical engineering principles - 4+ years of experience in data center system-level architecture and mechanical engineering principles - Experience designing data centers or critical MEP infrastructure - Certified as a Professional Engineer (PE) - Prior AWS/Amazon experience - 5+ years of military service Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OR, Boardman - 162 200.00 USD annually
07/27/2026
Full time
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. The Data Center Capacity Delivery team is looking for exceptional individuals to join our organization as a Controls Manager, responsible for the building management systems and electrical power monitoring system (BMS/EPMS) deployment and service within Amazon data centers. If you are passionate about the Customer Experience, think and act globally and have the ability to contribute to major new innovations in the area of building controls and automation this is the challenge you are looking for! The ideal candidate will have experience managing a team of highly technically skilled individuals. The candidate will possess industrial Controls System experience, project management, mechanical, electrical or technology background that enables him/her to undertake the challenges of sophisticated controls platforms and a demonstrated ability to think broadly and strategically in aligning building controls and automation with the larger objectives of the business. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities - Manage onsite teams in the Pacific Northwest (Boardman, OR) - Travel up to 25% domestically - Implement and track team goals; report project status to stakeholders and leadership - Experienced interviewer; able to develop launch plans for new hires and identify team needs - Experienced in installation, programming, and troubleshooting of BMS/EPMS systems and/or industrial controls systems - Strong writing skills; able to articulate thoughts clearly and concisely - Understanding of electrical diagrams, control diagrams, building operations, control circuits, and industrial HVAC - Ability to ascertain customer needs to help develop project scope and specifications - Ability to manage project engineering to determine scope of work relative to design intent - Ability to read, interpret, and implement specifications as they apply to the work environment - Experience developing drawings for control panels, power distribution, and junction boxes including general arrangement, internal layout, schematics, and wiring diagrams - Experience developing logic diagrams for complex devices such as PLCs and Distributed Control Systems - Experience performing inspections, testing, and commissioning of facility systems - Coordinate project work internally and externally to ensure on-time, on-budget completion About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience leading Controls in manufacturing or complex industrial environments - Bachelor's degree in Mechanical Engineering, Electrical Engineering, or equivalent engineering science plus 10+ years of relevant controls experience, OR 14+ years of relevant controls experience in lieu of a degree - Experience working with cross-functional teams to deliver complex construction projects - 5+ years of experience directly managing, mentoring, leading, and coaching teams of controls professionals - 5+ years of experience hiring, promoting, disciplining, and developing teams of controls professionals - 6+ years of experience in controls management of large, complex projects involving large-scale mechanical, electrical, and controls systems - 6+ years of general contractor and vendor management experience (RFPs, bidding, change orders, quality control, RFI and submittal tracking) associated with controls and project execution - 5+ years of experience managing deployment of complex electrical and mechanical controls systems, including large-scale power distribution or generation and cooling systems PREFERRED QUALIFICATIONS - Master's degree in Mechanical Engineering, Electrical Engineering, or other engineering science - 8+ years directly managing, mentoring, leading, and coaching teams of controls professionals - 10+ years of project management and vendor management experience - 4+ years of experience in data center system-level architecture and electrical engineering principles - 4+ years of experience in data center system-level architecture and mechanical engineering principles - Experience designing data centers or critical MEP infrastructure - Certified as a Professional Engineer (PE) - Prior AWS/Amazon experience - 5+ years of military service Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OR, Boardman - 162 200.00 USD annually
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own The Data Center Global Services team is looking for exceptional individuals to join our Controls organization as a Controls Technician for Service & Construction of the Building Management Systems (BMS) and Electrical Power Monitoring System (EPMS) within Amazon data centers. If you are passionate about the Customer Experience, think and act globally and have the ability to contribute to major new innovations in the area of building controls and automation this is the challenge you are looking for! The ideal candidate will possess technical background and experience in installation, troubleshooting and maintenance of field sensors, controllers, wiring, networking and programming associated with the industrial controls systems. Controls Technicians shall be responsible for participating in the installation, testing, troubleshooting and startup of equipment and controls system associated with the BMS and EPMS system deployment in the data centers. They will verify, configure, and troubleshoot field devices including Air Handler Unit (AHU) controllers, Variable Frequency Drives (VFDs), Temperature and Pressure Sensors, and Third Party Network or Serial Devices, controllers and network equipment. Key job responsibilities Primarily working in field at Data Center sites and supporting multiple sites under Deployment and/or Service. Perform point to point checkouts between field devices and controllers. Perform first-line diagnostics, troubleshooting and maintenance of instrumentation associated with the BMS and EPMS in data centers. Perform network configurations and communication testing between third party devices and controllers or servers. Configuration and calibration of sensors. Able to read and understand Electrical schematics, control panel drawings. Basic understanding of close loop controls, field sensors scaling, AND/OR functions typically performed by industrial controllers. Supervise low voltage electrical contractors who perform wiring and installation of field devices. Commissioning and systems level testing support. Provide red-lined drawings and recommendations based on field work and verify accuracy of as-built drawings. Assist in performing root cause analysis during testing and commissioning. Ensure all personnel on site utilize proper safety methodology. Work on-call and a rotating schedule when required and responds to after-hours emergencies. Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization. Physical Requirements: Walk jobsites in uneven terrain and work at heights and from ladders. Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or craw. On occasions, lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more. Work shifts longer than eight hours in duration. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Can lift and rack equipment up to 40 pounds - 3+ years of industrial controls and automation experience, or Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent - 1+ years of electrical or mechanical experience - Can lift and rack equipment up to 40 pounds - Basic understanding of Industrial controls system, knowledge of meters, devices, sensors, relays and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment in a data center, hospitals, large commercial complex, water, power, oil & gas or similar industries. - Ability to work non-standard hours and differing work rotations/shifts and overtime as required. PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience working in data centers with an emphasis on building and equipment operation - Experience reviewing and understanding engineering design documents for electronic, mechanical and electro-mechanical parts and assembly drawings of products - Experience in a data center or other critical environment - Experience with Network Protocols: TCP/IP, Ethernet, L2/L3 technologies - Knowledge of network design, protocols and troubleshooting - 4+ years of professional or military, or 4+ years of professional or military experience - International Society of Automation (ISA) Certified Controls System Technician (CCST) Level I or higher certification. - 5+ years of experience in controls/automation, or construction/technical environment or related field. - Prior AWS/Amazon experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, Trenton - 30.00 - 54.00 USD hourly
07/27/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own The Data Center Global Services team is looking for exceptional individuals to join our Controls organization as a Controls Technician for Service & Construction of the Building Management Systems (BMS) and Electrical Power Monitoring System (EPMS) within Amazon data centers. If you are passionate about the Customer Experience, think and act globally and have the ability to contribute to major new innovations in the area of building controls and automation this is the challenge you are looking for! The ideal candidate will possess technical background and experience in installation, troubleshooting and maintenance of field sensors, controllers, wiring, networking and programming associated with the industrial controls systems. Controls Technicians shall be responsible for participating in the installation, testing, troubleshooting and startup of equipment and controls system associated with the BMS and EPMS system deployment in the data centers. They will verify, configure, and troubleshoot field devices including Air Handler Unit (AHU) controllers, Variable Frequency Drives (VFDs), Temperature and Pressure Sensors, and Third Party Network or Serial Devices, controllers and network equipment. Key job responsibilities Primarily working in field at Data Center sites and supporting multiple sites under Deployment and/or Service. Perform point to point checkouts between field devices and controllers. Perform first-line diagnostics, troubleshooting and maintenance of instrumentation associated with the BMS and EPMS in data centers. Perform network configurations and communication testing between third party devices and controllers or servers. Configuration and calibration of sensors. Able to read and understand Electrical schematics, control panel drawings. Basic understanding of close loop controls, field sensors scaling, AND/OR functions typically performed by industrial controllers. Supervise low voltage electrical contractors who perform wiring and installation of field devices. Commissioning and systems level testing support. Provide red-lined drawings and recommendations based on field work and verify accuracy of as-built drawings. Assist in performing root cause analysis during testing and commissioning. Ensure all personnel on site utilize proper safety methodology. Work on-call and a rotating schedule when required and responds to after-hours emergencies. Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization. Physical Requirements: Walk jobsites in uneven terrain and work at heights and from ladders. Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or craw. On occasions, lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more. Work shifts longer than eight hours in duration. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Can lift and rack equipment up to 40 pounds - 3+ years of industrial controls and automation experience, or Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent - 1+ years of electrical or mechanical experience - Can lift and rack equipment up to 40 pounds - Basic understanding of Industrial controls system, knowledge of meters, devices, sensors, relays and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment in a data center, hospitals, large commercial complex, water, power, oil & gas or similar industries. - Ability to work non-standard hours and differing work rotations/shifts and overtime as required. PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience working in data centers with an emphasis on building and equipment operation - Experience reviewing and understanding engineering design documents for electronic, mechanical and electro-mechanical parts and assembly drawings of products - Experience in a data center or other critical environment - Experience with Network Protocols: TCP/IP, Ethernet, L2/L3 technologies - Knowledge of network design, protocols and troubleshooting - 4+ years of professional or military, or 4+ years of professional or military experience - International Society of Automation (ISA) Certified Controls System Technician (CCST) Level I or higher certification. - 5+ years of experience in controls/automation, or construction/technical environment or related field. - Prior AWS/Amazon experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, Trenton - 30.00 - 54.00 USD hourly
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As part of the global controls team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for troubleshooting, project management, and maintaining the building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. AWS Data Centers have multiple components such as generators, uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers air-cooled and water-cooled , pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc. All these components have local control systems that interact with each other via open and/or proprietary communications protocols. The BMS is the primary method of control of all mechanical systems within a data center. The EPMS is the primary method of monitoring all electrical systems within a data center. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. Key job responsibilities - Troubleshoot and perform Root Cause Analysis (RCA) or Corrective Action (CA) for Control Systems for AWS Data Centers. - Possess, understand and apply controls fundamental concepts, practices and procedures to manage scope of Building Management System (BMS) and Electrical Power Monitoring System (EPMS) in operational AWS Data Centers. - Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning and operation of BMS and EPMS systems. - Provide technical assistance and support to operations during life cycle of the data center. - Review results and action items from the quarterly maintenances for BMS and EPMS and take actions to get them resolved. - Develop BMS & EPMS projects scope of work, schedule, budget, and level of efforts (LOE) to projects requested by customers and stakeholders. - Manage scope, schedule, finance and execution of BMS and EPMS improvement projects in AWS data centers. - Assist in procurement related activities including request for quotation/proposals, responding to request for information, review of vendors proposal and issuance of purchase orders. - Participate in AWS global on-call schedule to provide immediate BMS and EPMS technical support to in-service data centers. - Attend project related meetings, coordinate with project leaders and regularly report status to Controls and stakeholder's management. - Support Controls projects related commissioning activities in the data centers. - Review, implement, troubleshoot and iterate on the controls sequence of operation (SOO) and provide necessary feedback to the design team. - Develop and modify controls logic programming and graphical user interfaces. - Manage multiple stakeholder deliverables, requirements and navigate challenging situations. - Financially manage BMS and EPMS service contracts. - Frequently visit (locally) assigned in-operation data centers to troubleshoot, meet customers, supervise vendor's work to ensure compliance with the scope, design, SOO and applicable local codes. About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience carrying new design concepts through exploration, development, and into deployment or mass production - Experience in MS Excel, Word, and Windows Operating Systems - Experience with power management and power monitoring systems - 5+ years of construction management of large, complex projects involving large-scale mechanical, electrical and plumbing (MEP) plants experience - 4+ years of general contractor and vendor management work (request for proposals, bidding, change orders, quality control, RFI/submittal tracking) associated with construction and project execution experience - Bachelor's degree in Mechanical Engineering, Electrical Engineering, or an equivalent engineering science plus 5+ years of relevant controls experience, OR 10+ years of relevant controls experience in lieu of a degree. - 5+ years of experience with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil & gas, petrochemical, laboratory, power, water etc.). PREFERRED QUALIFICATIONS - 5+ years of project management in data centers or comparable critical infrastructure experience - Knowledge of critical data center equipment - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, or OSHA - Experience in project management in data centers or comparable critical infrastructure - Master's degree in Mechanical or Electrical Engineering or a related field - Experience with EPMS/SCADA/BMS controls system software or hardware - Project Management Professional (PMP) certification - 1+ years of Amazon experience, or experience with AWS services or other cloud offerings - 4+ years of professional or military experience - Knowledge of engineering documentation, electrical diagrams and standard operating procedures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, Hilliard - 111 100.00 USD annually
07/27/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As part of the global controls team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for troubleshooting, project management, and maintaining the building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. AWS Data Centers have multiple components such as generators, uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers air-cooled and water-cooled , pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc. All these components have local control systems that interact with each other via open and/or proprietary communications protocols. The BMS is the primary method of control of all mechanical systems within a data center. The EPMS is the primary method of monitoring all electrical systems within a data center. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. Key job responsibilities - Troubleshoot and perform Root Cause Analysis (RCA) or Corrective Action (CA) for Control Systems for AWS Data Centers. - Possess, understand and apply controls fundamental concepts, practices and procedures to manage scope of Building Management System (BMS) and Electrical Power Monitoring System (EPMS) in operational AWS Data Centers. - Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning and operation of BMS and EPMS systems. - Provide technical assistance and support to operations during life cycle of the data center. - Review results and action items from the quarterly maintenances for BMS and EPMS and take actions to get them resolved. - Develop BMS & EPMS projects scope of work, schedule, budget, and level of efforts (LOE) to projects requested by customers and stakeholders. - Manage scope, schedule, finance and execution of BMS and EPMS improvement projects in AWS data centers. - Assist in procurement related activities including request for quotation/proposals, responding to request for information, review of vendors proposal and issuance of purchase orders. - Participate in AWS global on-call schedule to provide immediate BMS and EPMS technical support to in-service data centers. - Attend project related meetings, coordinate with project leaders and regularly report status to Controls and stakeholder's management. - Support Controls projects related commissioning activities in the data centers. - Review, implement, troubleshoot and iterate on the controls sequence of operation (SOO) and provide necessary feedback to the design team. - Develop and modify controls logic programming and graphical user interfaces. - Manage multiple stakeholder deliverables, requirements and navigate challenging situations. - Financially manage BMS and EPMS service contracts. - Frequently visit (locally) assigned in-operation data centers to troubleshoot, meet customers, supervise vendor's work to ensure compliance with the scope, design, SOO and applicable local codes. About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience carrying new design concepts through exploration, development, and into deployment or mass production - Experience in MS Excel, Word, and Windows Operating Systems - Experience with power management and power monitoring systems - 5+ years of construction management of large, complex projects involving large-scale mechanical, electrical and plumbing (MEP) plants experience - 4+ years of general contractor and vendor management work (request for proposals, bidding, change orders, quality control, RFI/submittal tracking) associated with construction and project execution experience - Bachelor's degree in Mechanical Engineering, Electrical Engineering, or an equivalent engineering science plus 5+ years of relevant controls experience, OR 10+ years of relevant controls experience in lieu of a degree. - 5+ years of experience with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil & gas, petrochemical, laboratory, power, water etc.). PREFERRED QUALIFICATIONS - 5+ years of project management in data centers or comparable critical infrastructure experience - Knowledge of critical data center equipment - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, or OSHA - Experience in project management in data centers or comparable critical infrastructure - Master's degree in Mechanical or Electrical Engineering or a related field - Experience with EPMS/SCADA/BMS controls system software or hardware - Project Management Professional (PMP) certification - 1+ years of Amazon experience, or experience with AWS services or other cloud offerings - 4+ years of professional or military experience - Knowledge of engineering documentation, electrical diagrams and standard operating procedures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OH, Hilliard - 111 100.00 USD annually
As part of the global controls team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for troubleshooting, project management, and maintaining the building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers air-cooled and water-cooled , pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc. All these components have local control systems that interact with each other via open and/or proprietary communications protocols. The BMS is the primary method of control of all mechanical systems within a data center. The EPMS is the primary method of monitoring all electrical systems within a data center. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. Key job responsibilities - Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning and operation of BMS and EPMS systems. - Provide technical assistance and support to operations during life cycle of the data center. - Review results and action items from the quarterly maintenances for BMS and EPMS and take actions to get them resolved. - Develop BMS & EPMS projects scope of work, schedule, budget, and level of efforts (LOE) to projects requested by customers and stakeholders. - Manage scope, schedule, finance and execution of BMS and EPMS improvement projects in AWS data centers. - Assist in procurement related activities including request for quotation/proposals, responding to request for information, review of vendors proposal and issuance of purchase orders. - Participate in AWS global on-call schedule to provide immediate BMS and EPMS technical support to in-service data centers. - Attend project related meetings, coordinate with project leaders and regularly report status to Controls and stakeholders' management. - Support Controls projects related commissioning activities in the data centers. - Review, implement, troubleshoot and iterate on the controls sequence of operation (SOO) and provide necessary feedback to the design team. - Develop and modify controls logic programming and graphical user interfaces. - Manage multiple stakeholder deliverables, requirements and navigate challenging situations. - Financially manage BMS and EPMS service contracts. - Frequently visit (locally) assigned in-operation and/or under construction data centers to troubleshoot, meet customers, supervise vendor's work to ensure compliance with the scope, design, SOO and applicable local codes. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - 4+ years of general contractor and vendor management work (request for proposals, bidding, change orders, quality control, RFI/submittal tracking) associated with construction and project execution experience - Bachelor's degree in Mechanical Engineering, Electrical Engineering, or an equivalent engineering science plus 5+ years of relevant controls experience, OR 10+ years of relevant controls experience in lieu of a degree. - 5+ years of experience with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil & gas, petrochemical, laboratory, power, water etc.). PREFERRED QUALIFICATIONS - Experience directly related to the design or construction of data centers or critical infrastructure or large-scale mechanical and electrical plants - 4+ years of military experience - MS in Engineering (Mechanical, Electrical, Chemical, Controls/Automation) - Experience designing, configuring, programming, installing, troubleshooting or servicing HVAC Controls or Electrical SCADA systems application specific controllers, software and networks. - Experiencing using common industrial communication protocols (MQTT, BACnet and/or MODBUS). - Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures. - Ability to manage multiple stakeholder deliverables, requirements, and navigate difficult situations. - Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP). - Prior AWS/Amazon experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Culpeper - 111 100.00 USD annually
07/27/2026
Full time
As part of the global controls team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for troubleshooting, project management, and maintaining the building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers air-cooled and water-cooled , pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc. All these components have local control systems that interact with each other via open and/or proprietary communications protocols. The BMS is the primary method of control of all mechanical systems within a data center. The EPMS is the primary method of monitoring all electrical systems within a data center. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. Key job responsibilities - Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning and operation of BMS and EPMS systems. - Provide technical assistance and support to operations during life cycle of the data center. - Review results and action items from the quarterly maintenances for BMS and EPMS and take actions to get them resolved. - Develop BMS & EPMS projects scope of work, schedule, budget, and level of efforts (LOE) to projects requested by customers and stakeholders. - Manage scope, schedule, finance and execution of BMS and EPMS improvement projects in AWS data centers. - Assist in procurement related activities including request for quotation/proposals, responding to request for information, review of vendors proposal and issuance of purchase orders. - Participate in AWS global on-call schedule to provide immediate BMS and EPMS technical support to in-service data centers. - Attend project related meetings, coordinate with project leaders and regularly report status to Controls and stakeholders' management. - Support Controls projects related commissioning activities in the data centers. - Review, implement, troubleshoot and iterate on the controls sequence of operation (SOO) and provide necessary feedback to the design team. - Develop and modify controls logic programming and graphical user interfaces. - Manage multiple stakeholder deliverables, requirements and navigate challenging situations. - Financially manage BMS and EPMS service contracts. - Frequently visit (locally) assigned in-operation and/or under construction data centers to troubleshoot, meet customers, supervise vendor's work to ensure compliance with the scope, design, SOO and applicable local codes. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - 4+ years of general contractor and vendor management work (request for proposals, bidding, change orders, quality control, RFI/submittal tracking) associated with construction and project execution experience - Bachelor's degree in Mechanical Engineering, Electrical Engineering, or an equivalent engineering science plus 5+ years of relevant controls experience, OR 10+ years of relevant controls experience in lieu of a degree. - 5+ years of experience with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil & gas, petrochemical, laboratory, power, water etc.). PREFERRED QUALIFICATIONS - Experience directly related to the design or construction of data centers or critical infrastructure or large-scale mechanical and electrical plants - 4+ years of military experience - MS in Engineering (Mechanical, Electrical, Chemical, Controls/Automation) - Experience designing, configuring, programming, installing, troubleshooting or servicing HVAC Controls or Electrical SCADA systems application specific controllers, software and networks. - Experiencing using common industrial communication protocols (MQTT, BACnet and/or MODBUS). - Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures. - Ability to manage multiple stakeholder deliverables, requirements, and navigate difficult situations. - Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP). - Prior AWS/Amazon experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Culpeper - 111 100.00 USD annually
Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate : You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
07/27/2026
Full time
Sr. Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate : You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II Cambridge, MA: $262,500 - $299,600 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
07/27/2026
Full time
Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II Cambridge, MA: $262,500 - $299,600 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
