ABOUT CAMBRIDGE AIR SOLUTIONS Cambridge Air Solutions is a U.S.-based manufacturer with over 60 years of history and more than 41,000 HVAC systems installed nationwide. We are a family-owned company committed to enriching every life we touch - including our employees, customers, and partners. As we continue to grow and invest in our facilities, we are seeking a Facilities Manager who will take full ownership of our physical assets and ensure our buildings reflect the operational excellence we strive for in every part of our business. Now seeking a hands-on facilities leader to ensure a safe, efficient, and high-performing workplace environment that supports our people and operations. YOUR ROLE AS FACILITIES MANAGER Cambridge Air Solutions is seeking an experienced Facilities Manager who is passionate about creating safe, dependable, and well-maintained work environments. You are the steward of our physical assets. Reporting to the CFO, this individual contributor role owns the safety, functionality, maintenance, and long-term value of our facilities - including approximately 110,000+ square feet of manufacturing and office space across multiple locations. In this role, you will lead the maintenance, safety, and continuous improvement of our buildings, grounds, and infrastructure to ensure our facility operates efficiently and supports both employees and overall business success. This role requires someone who: Takes pride in ownership of the building Is willing to fix what they can themselves Knows when to bring in qualified experts and holds them accountable Manages vendors with professionalism and clear expectations Plans and executes capital projects with discipline and follow-through Operates within a budget and makes financially sound decisions Identifies and mitigates facility-related risks before they become problems Manages preventive maintenance items for the facility CORE RESPONSIBILITIES ASSET OWNERSHIP & FACILITY STEWARDSHIP: Maintain safe, clean, functional, and well-maintained facilities across all company properties Conduct routine inspections of buildings and grounds to proactively identify maintenance needs and establish and maintain organized preventive maintenance schedules for all building systems Personally perform basic maintenance tasks (Examples: including minor repairs, light bulbs, door hardware, fixture replacement, painting, and preventative upkeep) Develop a simple and effective system for internal maintenance requests and tracking Manage annual facilities budget requests and execution VENDOR & CONTRACT MANAGEMENT: Manage relationships with 20+ external service providers (HVAC, electrical, plumbing, landscaping, snow removal, fire systems, roofing, etc.) Issue RFPs and negotiate contracts as needed Approve invoices and ensure services are delivered on time, within scope, and to standard Hold vendors accountable to safety, quality, and performance expectations Clearly define and coordinate responsibilities between internal teams and third-parties CAPITAL PROJECT EXECUTION: Propose, budget, and manage facility capital projects (examples: roof replacement, HVAC upgrades, parking lot resurfacing, fire suppression upgrades, general facility improvements) Ensure projects are executed safely, on time, and within approved funding SAFETY & COMPLIANCE: Champion a safety-first culture by ensuring facility compliance with safety standards, leading inspections, supporting hazard identification, and maintaining emergency preparedness. Coordinate required inspections for fire protection systems, alarms, sprinklers, and other regulated building systems Partner with internal safety leadership to ensure facilities remain compliant with applicable codes and regulations Lead property insurance renewals and surveys Support insurance renewals by coordinating inspections, documentation, and risk reviews Ensure facilities-related compliance items are proactively managed and documented WHAT SUCCESS LOOKS LIKE Within your first 12-18 months: Preventive maintenance schedules are clear, documented, and consistently executed Vendor list is updated and system of system of maintaining the list is in place. Vendor performance is measurable and reliable Capital projects are executed professionally and within budget Facility-related issues are addressed promptly and systematically The building and grounds reflects pride of ownership and operational excellence IS THIS A MATCH FOR YOU? Your Facilities Experience - You bring 5-7 years of progressive facilities or building maintenance experience, ideally in a manufacturing or industrial environment. You've successfully managed building systems, contractors, and maintenance programs. Your Leadership Style - You are a hands-on leader who leads by example, balances strategy with execution, and builds strong, capable teams. Your Technical Expertise - You have strong knowledge of HVAC, electrical, plumbing, and building systems, along with an understanding of safety and regulatory compliance. Your Problem-Solving Mindset - You are proactive, resourceful, and improvement-focused-you don't wait for problems; you prevent them. Your Continuous Improvement Approach - You are familiar with Lean principles or CI tools and continually look for better, more efficient ways to operate. Your Education - Bachelor's degree in Facility Management, Engineering, Business, or related field preferred (or equivalent experience). WHY JOIN US? MAKE A DIRECT IMPACT - Your work ensures a safe, efficient, and high-performing environment where our team can thrive. You will directly impact daily operations and long-term facility performance. CORE VALUES GUIDE & ALIGN US - Guided by a unique culture of unconditional love and high expectations, we value people, growth, and doing meaningful work together. COMPETITIVE COMPENSATION PACKAGE - Cambridge offers a competitive base salary, quarterly profit-sharing, and a comprehensive benefits package including medical, dental, vision, PTO, holidays, 401k match, and more. LOCATION & TRAVEL This position is based at our headquarters in Chesterfield, Missouri. This is an on-site role supporting daily facility operations. Travel is minimal (0-5%). READY TO APPLY? To apply, take the next step and upload your resume! Cambridge Air Solutions is an Equal Opportunity Employer. We welcome differences across backgrounds, experiences, and perspectives-and encourage all who align with our values to apply. PIca752c513f55-2788
07/27/2026
Full time
ABOUT CAMBRIDGE AIR SOLUTIONS Cambridge Air Solutions is a U.S.-based manufacturer with over 60 years of history and more than 41,000 HVAC systems installed nationwide. We are a family-owned company committed to enriching every life we touch - including our employees, customers, and partners. As we continue to grow and invest in our facilities, we are seeking a Facilities Manager who will take full ownership of our physical assets and ensure our buildings reflect the operational excellence we strive for in every part of our business. Now seeking a hands-on facilities leader to ensure a safe, efficient, and high-performing workplace environment that supports our people and operations. YOUR ROLE AS FACILITIES MANAGER Cambridge Air Solutions is seeking an experienced Facilities Manager who is passionate about creating safe, dependable, and well-maintained work environments. You are the steward of our physical assets. Reporting to the CFO, this individual contributor role owns the safety, functionality, maintenance, and long-term value of our facilities - including approximately 110,000+ square feet of manufacturing and office space across multiple locations. In this role, you will lead the maintenance, safety, and continuous improvement of our buildings, grounds, and infrastructure to ensure our facility operates efficiently and supports both employees and overall business success. This role requires someone who: Takes pride in ownership of the building Is willing to fix what they can themselves Knows when to bring in qualified experts and holds them accountable Manages vendors with professionalism and clear expectations Plans and executes capital projects with discipline and follow-through Operates within a budget and makes financially sound decisions Identifies and mitigates facility-related risks before they become problems Manages preventive maintenance items for the facility CORE RESPONSIBILITIES ASSET OWNERSHIP & FACILITY STEWARDSHIP: Maintain safe, clean, functional, and well-maintained facilities across all company properties Conduct routine inspections of buildings and grounds to proactively identify maintenance needs and establish and maintain organized preventive maintenance schedules for all building systems Personally perform basic maintenance tasks (Examples: including minor repairs, light bulbs, door hardware, fixture replacement, painting, and preventative upkeep) Develop a simple and effective system for internal maintenance requests and tracking Manage annual facilities budget requests and execution VENDOR & CONTRACT MANAGEMENT: Manage relationships with 20+ external service providers (HVAC, electrical, plumbing, landscaping, snow removal, fire systems, roofing, etc.) Issue RFPs and negotiate contracts as needed Approve invoices and ensure services are delivered on time, within scope, and to standard Hold vendors accountable to safety, quality, and performance expectations Clearly define and coordinate responsibilities between internal teams and third-parties CAPITAL PROJECT EXECUTION: Propose, budget, and manage facility capital projects (examples: roof replacement, HVAC upgrades, parking lot resurfacing, fire suppression upgrades, general facility improvements) Ensure projects are executed safely, on time, and within approved funding SAFETY & COMPLIANCE: Champion a safety-first culture by ensuring facility compliance with safety standards, leading inspections, supporting hazard identification, and maintaining emergency preparedness. Coordinate required inspections for fire protection systems, alarms, sprinklers, and other regulated building systems Partner with internal safety leadership to ensure facilities remain compliant with applicable codes and regulations Lead property insurance renewals and surveys Support insurance renewals by coordinating inspections, documentation, and risk reviews Ensure facilities-related compliance items are proactively managed and documented WHAT SUCCESS LOOKS LIKE Within your first 12-18 months: Preventive maintenance schedules are clear, documented, and consistently executed Vendor list is updated and system of system of maintaining the list is in place. Vendor performance is measurable and reliable Capital projects are executed professionally and within budget Facility-related issues are addressed promptly and systematically The building and grounds reflects pride of ownership and operational excellence IS THIS A MATCH FOR YOU? Your Facilities Experience - You bring 5-7 years of progressive facilities or building maintenance experience, ideally in a manufacturing or industrial environment. You've successfully managed building systems, contractors, and maintenance programs. Your Leadership Style - You are a hands-on leader who leads by example, balances strategy with execution, and builds strong, capable teams. Your Technical Expertise - You have strong knowledge of HVAC, electrical, plumbing, and building systems, along with an understanding of safety and regulatory compliance. Your Problem-Solving Mindset - You are proactive, resourceful, and improvement-focused-you don't wait for problems; you prevent them. Your Continuous Improvement Approach - You are familiar with Lean principles or CI tools and continually look for better, more efficient ways to operate. Your Education - Bachelor's degree in Facility Management, Engineering, Business, or related field preferred (or equivalent experience). WHY JOIN US? MAKE A DIRECT IMPACT - Your work ensures a safe, efficient, and high-performing environment where our team can thrive. You will directly impact daily operations and long-term facility performance. CORE VALUES GUIDE & ALIGN US - Guided by a unique culture of unconditional love and high expectations, we value people, growth, and doing meaningful work together. COMPETITIVE COMPENSATION PACKAGE - Cambridge offers a competitive base salary, quarterly profit-sharing, and a comprehensive benefits package including medical, dental, vision, PTO, holidays, 401k match, and more. LOCATION & TRAVEL This position is based at our headquarters in Chesterfield, Missouri. This is an on-site role supporting daily facility operations. Travel is minimal (0-5%). READY TO APPLY? To apply, take the next step and upload your resume! Cambridge Air Solutions is an Equal Opportunity Employer. We welcome differences across backgrounds, experiences, and perspectives-and encourage all who align with our values to apply. PIca752c513f55-2788
Description: Do you have experience in managing the Quality Department of a Part 145 Repair Station? Then come grow with us! Our team is looking for a seasoned Quality Manager to help us bring our organization to the next level. Job Summary The Chief Inspector/Quality Control reports to the Accountable Manager for the overall operation of the Quality Control Department and will be instrumental in returning to service components the shop works on. The Chief Inspector is responsible for directing, planning, and laying out the details of component inspections, as well as witnessing acceptance testing and helping to establish methods and procedures used by the Repair Station designed to comply with all applicable regulations, manufacturer's specifications, customer and industry standards, and guidance. The Chief Inspector may be delegated the authority from the Accountable Manager to edit and refine the shop's operating manuals, including the Repair Station Quality Manual (RSQM), Training Manual (STM), Forms Manual and the various supplements. As needed the Quality Manager will communicate with FAA and customer Quality Representatives. Essential Duties and Responsibilities 25% Train, direct, supervise, and assist all inspection personnel performing work under the Repair Station Certificate. 25% Responsible to witnessing and signing off acceptance testing. 15% Responsible for ensuring all inspections are properly performed and recorded, and all records are properly executed before for final approval and return to service for articles maintained or altered by this Repair Station. 15% Responsible for ensuring paperwork is being completed, approved and filed in accordance with applicable procedures and instructions. 5% Responsible for ensuring that when there is conflict or counter-demand on inspection authorization he/she coordinates with the Repair Station Accountable Manager for final determination or investigation. 10% Acts as primary liaison with the Federal Aviation Administration 5% Other duties as assigned by manager Qualifications and Skills Knowledge of Microsoft Office tools is required (Excel, Word, and PowerPoint). Must be able to map and document processes. Able to solve complex problems in a fast-paced environment. Must be able to interpret and apply highly technical regulations and regulatory guidance. Must be comfortable drafting and revising technical procedures and manuals and helping to ensure their proper implementation. Must be self-motivated and mature - able to finish assignments in a timely, complete, and professional manner. Must possess FAA Issued Mechanic's certificate with Airframe and Powerplant Ratings; Or have recently possessed a Repairman's Certificate doing similar work; Or have the necessary experience and qualifications to be recommended for a Repairman's Certificate upon hire. Education Required Required: High school diploma or equivalent Preferred: Associates; bachelor's or higher degree in a Quality, Engineering or Aviation related field Experience Required Experience with Microsoft Excel required. 10-15 years' experience working in a FAA Part 145 Repair Station Minimum of 4 years' experience working in a leadership role. Experience using a Repair Station ERP system (Quantum Control Preferred) Compensation and Benefits Based upon experience, education, and ability; Full time employees are offered Health, Dental, Vision, and other Life Insurance benefits 401k Retirement Plan with company match Requirements: Compensation details: 00 Yearly Salary PI0b35c232b94b-6284
07/27/2026
Full time
Description: Do you have experience in managing the Quality Department of a Part 145 Repair Station? Then come grow with us! Our team is looking for a seasoned Quality Manager to help us bring our organization to the next level. Job Summary The Chief Inspector/Quality Control reports to the Accountable Manager for the overall operation of the Quality Control Department and will be instrumental in returning to service components the shop works on. The Chief Inspector is responsible for directing, planning, and laying out the details of component inspections, as well as witnessing acceptance testing and helping to establish methods and procedures used by the Repair Station designed to comply with all applicable regulations, manufacturer's specifications, customer and industry standards, and guidance. The Chief Inspector may be delegated the authority from the Accountable Manager to edit and refine the shop's operating manuals, including the Repair Station Quality Manual (RSQM), Training Manual (STM), Forms Manual and the various supplements. As needed the Quality Manager will communicate with FAA and customer Quality Representatives. Essential Duties and Responsibilities 25% Train, direct, supervise, and assist all inspection personnel performing work under the Repair Station Certificate. 25% Responsible to witnessing and signing off acceptance testing. 15% Responsible for ensuring all inspections are properly performed and recorded, and all records are properly executed before for final approval and return to service for articles maintained or altered by this Repair Station. 15% Responsible for ensuring paperwork is being completed, approved and filed in accordance with applicable procedures and instructions. 5% Responsible for ensuring that when there is conflict or counter-demand on inspection authorization he/she coordinates with the Repair Station Accountable Manager for final determination or investigation. 10% Acts as primary liaison with the Federal Aviation Administration 5% Other duties as assigned by manager Qualifications and Skills Knowledge of Microsoft Office tools is required (Excel, Word, and PowerPoint). Must be able to map and document processes. Able to solve complex problems in a fast-paced environment. Must be able to interpret and apply highly technical regulations and regulatory guidance. Must be comfortable drafting and revising technical procedures and manuals and helping to ensure their proper implementation. Must be self-motivated and mature - able to finish assignments in a timely, complete, and professional manner. Must possess FAA Issued Mechanic's certificate with Airframe and Powerplant Ratings; Or have recently possessed a Repairman's Certificate doing similar work; Or have the necessary experience and qualifications to be recommended for a Repairman's Certificate upon hire. Education Required Required: High school diploma or equivalent Preferred: Associates; bachelor's or higher degree in a Quality, Engineering or Aviation related field Experience Required Experience with Microsoft Excel required. 10-15 years' experience working in a FAA Part 145 Repair Station Minimum of 4 years' experience working in a leadership role. Experience using a Repair Station ERP system (Quantum Control Preferred) Compensation and Benefits Based upon experience, education, and ability; Full time employees are offered Health, Dental, Vision, and other Life Insurance benefits 401k Retirement Plan with company match Requirements: Compensation details: 00 Yearly Salary PI0b35c232b94b-6284
St Petersburg Marriott Clearwater
Saint Petersburg, Florida
Description: Job Summary The Front Desk Manager is responsible for ensuring the operation of the Front Office in an attentive, friendly, efficient and courteous manner, providing all guests with quality service prior to and throughout their stay, while maximizing room revenue and occupancy. Management-level associates are expected to work as much of each workday as is necessary to complete their job responsibilities; for OEM associates, overtime does apply and is calculated accordingly. Exempt managers must customarily and regular direct the work of at least 3 full-time associates or their eq uivalents. Primary duties must consist of administrative, executive, or professional tasks more than 50 percent of the time and job duties must also involve the use of discretion and independent judgment more than 50 percent of the time. Education & Experience At least 5 years of progressive experience in a hotel or a related field; or a 2-year college degree and 3 or more years of related experience; or a 4-year college degree and at least 1 year of related experience. Supervisory experience required. Must be proficient in Windows operating systems, Company approved spreadsheets and word processing. Must have a valid driver's license from the applicable state. Must be able to convey information and ideas clearly. Must be able to evaluate and select among alternative courses of action quickly and accurately. Must work well in stressful, high-pressure situations. Must maintain composure and objectivity under pressure. Must be effective in handling problems in the workplace, including anticipating, preventing, identifying and solving problems as necessary. Must have the ability to assimilate complex information, data, etc., from disparate sources and consider, adjust or modify to meet the constraints of the particular need. Must be effective at listening to, understanding, and clarifying the concerns and issues raised by coworkers and guests. Must be able to work with and understand financial information and data, and basic arithmetic functions. Requirements: Job Duties & Functions Respond to all guest requests, problems, complaints and/or accidents presented at the Front Desk or through Reservations, in an attentive, courteous and efficient manner. Follow up to ensure guest satisfaction. Motivate, coach, counsel and discipline all Front Desk personnel according to Avion Hospitality S.O.P.'s. Ensure compliance to brand and company training, using the steps to effective training according to Avion Hospitality standards. Prepare and conduct all Front Desk interviews and follow hiring procedures according to Avion Hospitality S.O.P.'s. Conduct all 90 day and annual Front Desk employee performance appraisals according to S.O.P.'s. Develop employee morale and ensure training of Front Desk personnel. Maximize room revenue and occupancy by reviewing status daily. Analyze rate efficiency, monitor credit report and maintain close observation of daily house count. Attend all required Rooms Merchandizing meetings with all appropriate reports and documentation necessary to establish select sell guidelines and implement appropriate restrictions. Supervise the Night Audit function and monitor the House Charge Worksheet and Flash Report for accuracy. Participate in required M.O.D. program as scheduled. Be responsible for developing a manager as assigned by the Corporate Office, including sign-off on all competencies and assist in his/her placement. Ensure all end-of-the-month report dates are met, i.e., Central Reservations, Market Segment, AAdvantage, Travel Agent check registers, etc. Review Front Desk staff's worked hours for payroll compilation and submit to Accounting on a timely basis. Prepare employee Schedule according to business forecast, payroll budget guidelines and productivity requirements. Present with Wage Progress Report to General Manager weekly. Ensure that no-show revenue is maximized through consistent and accurate billing. Maintain Avion Hospitality S.O.P.'s regarding Purchase Orders, vouchering of invoices and checkbook accounting. Ensure that Wage Progress, Productivity and the Ten Day Forecast are completed on a timely basis according to Avion Hospitality S.O.P.'s. Maintain a professional working relationship and promote open lines of communication with managers, employees and other departments. Work closely with Accounting on follow-up items, i.e., returned checks, rejected credit cards, employee discrepancies, etc. Operate all aspects of the Front Office computer system, including software maintenance, report generation and analysis, and simple programming. Monitor proper operation of the P.B.X. console and ensure that employees maintain Avion Hospitality S.O.P.'s in its use. Monitor the process of taking reservations ensuring that Avion Hospitality courtesy and up selling techniques are maintained. Greet and welcome all guests approaching the Front Desk in accordance with Avion Hospitality S.O.P.'s. Ensure implementation of all Avion Hospitality policies and house rules. Understand hospitality terms. Operate radios efficiently and professionally in communicating with hotel staff. Ensure the proper use of radio etiquette within the department. Coordinate all aspects of the ongoing implementation of the Avion Hospitality philosophy of service. Ensure correct and accurate cash handling at the Front Desk. Attend monthly all-employee team meetings and any other functions required by management. Attend weekly staff meeting and provide training on a rotational basis using steps to effective training according to Avion Hospitality standards. Obtain all necessary information when taking room reservations. Ensure logging and delivery of all messages, packages, and mail in a timely and professional manner. Be aware of all rates, packages and promotions currently underway. Follow and enforce all Avion Hospitality hotel credit policies. Process and handle guest laundry (property specific). Ensure that employees are, at all times, attentive, friendly, helpful and courteous to all guests, managers and other employees. Maintain and monitor "Lost and Found" procedures and policies according to Avion Hospitality standards. Establish and maintain key control system. Ensure participation within department for monthly Avion team meeting. Focus the Front Desk Department on their role in contributing to the guest service scores. Monitor all V.I.P.'s, special guests and requests. Maintain required pars of all front office and stationary supplies. Review daily Front Office work and activity reports generated by Night Audit. Review Front Office log book and Guest Request log on a daily basis. Assist the General Manager and Engineering Department in implementing and maintaining emergency procedures. Be familiar with all corporate sponsored programs such as airline mileage, Triple Upgrade, or V.I.P. programs, and the standards and procedures for each. Maintain an organized and comprehensive filing system with documentation of purchases, vouchering, schedules, forecasts, reports and tracking logs. Conduct meetings according to Avion Hospitality standards as required by management. Other duties as required. Working Conditions/Environment The following outlines the work environment employees will encounter while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. Frequency Grid 112019 N = Not Anticipated 0% O = Occasionally 1-33% (per shift) F = Frequently 34-66% (per shift) C = Constantly 67-100% (per shift) Work Environment Associate is subject to inside environmental conditions: Protection from weather conditions but not necessarily from temperature changes.- N Associate is subject to outside environmental conditions: No effective protection from weather.-N Associate is subject to extreme heat or cold (temperatures below 32 degrees or above 100 degrees) for periods of more than one hour.- N Associate is subject to noise: There is sufficient noise to cause the employee to shout in order to be heard above ambient noise level.- C Associate is subject to vibration: Exposure to oscillating movements of the extremities or whole body.- N Associate is subject to hazards: Includes a variety of physical conditions, such as proximity to moving mechanical parts, moving vehicles, electrical current, working on scaffolding and high places, exposure to high heat or exposure to chemicals.- N Associate is subject to atmospheric conditions: One or more of the following conditions that affect the respiratory system or the skin: Fumes, odors, dusts, mists, gasses, or poor ventilation.- N Associate is subject to oils: There is air and/or skin exposure to oils and other cutting fluids.- N Associate is required to function in narrow aisles or passageways.- N Associate is exposed to infectious diseases.-N None: Associate is not substantially exposed to adverse environmental conditions (as typical office or administrative work).- C Physical Requirements Climbing: Ascending or descending ladders, stairs, scaffolding . click apply for full job details
07/27/2026
Full time
Description: Job Summary The Front Desk Manager is responsible for ensuring the operation of the Front Office in an attentive, friendly, efficient and courteous manner, providing all guests with quality service prior to and throughout their stay, while maximizing room revenue and occupancy. Management-level associates are expected to work as much of each workday as is necessary to complete their job responsibilities; for OEM associates, overtime does apply and is calculated accordingly. Exempt managers must customarily and regular direct the work of at least 3 full-time associates or their eq uivalents. Primary duties must consist of administrative, executive, or professional tasks more than 50 percent of the time and job duties must also involve the use of discretion and independent judgment more than 50 percent of the time. Education & Experience At least 5 years of progressive experience in a hotel or a related field; or a 2-year college degree and 3 or more years of related experience; or a 4-year college degree and at least 1 year of related experience. Supervisory experience required. Must be proficient in Windows operating systems, Company approved spreadsheets and word processing. Must have a valid driver's license from the applicable state. Must be able to convey information and ideas clearly. Must be able to evaluate and select among alternative courses of action quickly and accurately. Must work well in stressful, high-pressure situations. Must maintain composure and objectivity under pressure. Must be effective in handling problems in the workplace, including anticipating, preventing, identifying and solving problems as necessary. Must have the ability to assimilate complex information, data, etc., from disparate sources and consider, adjust or modify to meet the constraints of the particular need. Must be effective at listening to, understanding, and clarifying the concerns and issues raised by coworkers and guests. Must be able to work with and understand financial information and data, and basic arithmetic functions. Requirements: Job Duties & Functions Respond to all guest requests, problems, complaints and/or accidents presented at the Front Desk or through Reservations, in an attentive, courteous and efficient manner. Follow up to ensure guest satisfaction. Motivate, coach, counsel and discipline all Front Desk personnel according to Avion Hospitality S.O.P.'s. Ensure compliance to brand and company training, using the steps to effective training according to Avion Hospitality standards. Prepare and conduct all Front Desk interviews and follow hiring procedures according to Avion Hospitality S.O.P.'s. Conduct all 90 day and annual Front Desk employee performance appraisals according to S.O.P.'s. Develop employee morale and ensure training of Front Desk personnel. Maximize room revenue and occupancy by reviewing status daily. Analyze rate efficiency, monitor credit report and maintain close observation of daily house count. Attend all required Rooms Merchandizing meetings with all appropriate reports and documentation necessary to establish select sell guidelines and implement appropriate restrictions. Supervise the Night Audit function and monitor the House Charge Worksheet and Flash Report for accuracy. Participate in required M.O.D. program as scheduled. Be responsible for developing a manager as assigned by the Corporate Office, including sign-off on all competencies and assist in his/her placement. Ensure all end-of-the-month report dates are met, i.e., Central Reservations, Market Segment, AAdvantage, Travel Agent check registers, etc. Review Front Desk staff's worked hours for payroll compilation and submit to Accounting on a timely basis. Prepare employee Schedule according to business forecast, payroll budget guidelines and productivity requirements. Present with Wage Progress Report to General Manager weekly. Ensure that no-show revenue is maximized through consistent and accurate billing. Maintain Avion Hospitality S.O.P.'s regarding Purchase Orders, vouchering of invoices and checkbook accounting. Ensure that Wage Progress, Productivity and the Ten Day Forecast are completed on a timely basis according to Avion Hospitality S.O.P.'s. Maintain a professional working relationship and promote open lines of communication with managers, employees and other departments. Work closely with Accounting on follow-up items, i.e., returned checks, rejected credit cards, employee discrepancies, etc. Operate all aspects of the Front Office computer system, including software maintenance, report generation and analysis, and simple programming. Monitor proper operation of the P.B.X. console and ensure that employees maintain Avion Hospitality S.O.P.'s in its use. Monitor the process of taking reservations ensuring that Avion Hospitality courtesy and up selling techniques are maintained. Greet and welcome all guests approaching the Front Desk in accordance with Avion Hospitality S.O.P.'s. Ensure implementation of all Avion Hospitality policies and house rules. Understand hospitality terms. Operate radios efficiently and professionally in communicating with hotel staff. Ensure the proper use of radio etiquette within the department. Coordinate all aspects of the ongoing implementation of the Avion Hospitality philosophy of service. Ensure correct and accurate cash handling at the Front Desk. Attend monthly all-employee team meetings and any other functions required by management. Attend weekly staff meeting and provide training on a rotational basis using steps to effective training according to Avion Hospitality standards. Obtain all necessary information when taking room reservations. Ensure logging and delivery of all messages, packages, and mail in a timely and professional manner. Be aware of all rates, packages and promotions currently underway. Follow and enforce all Avion Hospitality hotel credit policies. Process and handle guest laundry (property specific). Ensure that employees are, at all times, attentive, friendly, helpful and courteous to all guests, managers and other employees. Maintain and monitor "Lost and Found" procedures and policies according to Avion Hospitality standards. Establish and maintain key control system. Ensure participation within department for monthly Avion team meeting. Focus the Front Desk Department on their role in contributing to the guest service scores. Monitor all V.I.P.'s, special guests and requests. Maintain required pars of all front office and stationary supplies. Review daily Front Office work and activity reports generated by Night Audit. Review Front Office log book and Guest Request log on a daily basis. Assist the General Manager and Engineering Department in implementing and maintaining emergency procedures. Be familiar with all corporate sponsored programs such as airline mileage, Triple Upgrade, or V.I.P. programs, and the standards and procedures for each. Maintain an organized and comprehensive filing system with documentation of purchases, vouchering, schedules, forecasts, reports and tracking logs. Conduct meetings according to Avion Hospitality standards as required by management. Other duties as required. Working Conditions/Environment The following outlines the work environment employees will encounter while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. Frequency Grid 112019 N = Not Anticipated 0% O = Occasionally 1-33% (per shift) F = Frequently 34-66% (per shift) C = Constantly 67-100% (per shift) Work Environment Associate is subject to inside environmental conditions: Protection from weather conditions but not necessarily from temperature changes.- N Associate is subject to outside environmental conditions: No effective protection from weather.-N Associate is subject to extreme heat or cold (temperatures below 32 degrees or above 100 degrees) for periods of more than one hour.- N Associate is subject to noise: There is sufficient noise to cause the employee to shout in order to be heard above ambient noise level.- C Associate is subject to vibration: Exposure to oscillating movements of the extremities or whole body.- N Associate is subject to hazards: Includes a variety of physical conditions, such as proximity to moving mechanical parts, moving vehicles, electrical current, working on scaffolding and high places, exposure to high heat or exposure to chemicals.- N Associate is subject to atmospheric conditions: One or more of the following conditions that affect the respiratory system or the skin: Fumes, odors, dusts, mists, gasses, or poor ventilation.- N Associate is subject to oils: There is air and/or skin exposure to oils and other cutting fluids.- N Associate is required to function in narrow aisles or passageways.- N Associate is exposed to infectious diseases.-N None: Associate is not substantially exposed to adverse environmental conditions (as typical office or administrative work).- C Physical Requirements Climbing: Ascending or descending ladders, stairs, scaffolding . click apply for full job details
Dieffenbach s Potato Chips Inc
Chambersburg, Pennsylvania
Operations Manager - Snack Food Manufacturing Chambersburg, PA Three-Shift Operation If you know that great snacks do not happen by accident and you love turning a busy manufacturing operation into a safe, efficient, high-performing team, we want to meet you! At our Chambersburg facility, we manufacture the snacks people love, including potato chips, extruded snacks, pretzels, and popcorn. We are looking for an experienced Operations Manager who understands the pace and complexity of snack food manufacturing and has successfully led a three-shift operation. This is a highly visible, hands-on leadership role for someone who can bring people, processes, and production together. You will oversee daily production, warehouse, and maintenance activities while leading and developing two to three Shift Supervisors. Your goal will be to build an operation that consistently delivers strong results in safety, food quality, service, cost, and productivity. What You'll Do Lead the day-to-day operations of a fast-paced, three-shift snack food manufacturing facility. Develop, coach, and hold Shift Supervisors and their teams accountable for results. Support a culture where safety, food quality, teamwork, and continuous improvement come first. Ensure compliance with GMPs, food safety requirements, sanitation standards, and company policies. Drive improvements in production output, capacity, efficiency, labor utilization, product quality, and cost. Review production schedules and allocate people and resources effectively. Monitor performance, identify problems, and implement timely corrective actions. Ensure products are manufactured to specification and shipped to our Bethel warehouse on time. Partner with Maintenance to improve equipment reliability, minimize downtime, and fully utilize plant assets. Recruit, train, motivate, and develop production associates and leaders. Lead plant cleaning and sanitation activities, including equipment, packaging machines, walls, and floors. Maintain accurate and timely production records, reports, and operational data. Communicate priorities, challenges, and results effectively across departments and shifts. What You'll Bring Prior operations leadership experience in snack food manufacturing is strongly preferred. Demonstrated experience leading a three-shift manufacturing operation. Proven success leading production teams and developing frontline supervisors. Strong knowledge of GMPs, food safety, sanitation, workplace safety, quality, inventory, and production processes. Experience with budgeting, production planning, labor management, resource allocation, and continuous improvement. Working knowledge of food manufacturing equipment and plant maintenance needs. Strong computer skills, including the ability to work with spreadsheets, formulas, and operational reports. Bachelor's degree in Industrial Engineering, Business Management, Operations Management, or a related field is preferred. Strong decision-making, problem-solving, communication, and people-leadership skills. The ability to create accountability, lead by example, and remain adaptable in a changing environment. What Success Looks Like You will know you are making an impact when: Associates work safely and understand what is expected. Supervisors confidently lead their shifts and collaborate across the operation. Production goals are consistently achieved without compromising quality. Downtime, waste, and unnecessary costs are reduced. Products are made correctly and delivered on time. The plant continues to become safer, stronger, and more efficient. The Environment Snack manufacturing is active, fast-moving, and hands-on. This position regularly works in an environment that may be wet, oily, noisy, and warm. The Operations Manager must be comfortable spending time on the production floor and being visible across all shifts. If you are a practical, people-focused operations leader who knows snack food manufacturing and enjoys building teams that deliver results, we would love to hear from you. Compensation details: 00 Yearly Salary PId4a3d4bc275f-8994
07/27/2026
Full time
Operations Manager - Snack Food Manufacturing Chambersburg, PA Three-Shift Operation If you know that great snacks do not happen by accident and you love turning a busy manufacturing operation into a safe, efficient, high-performing team, we want to meet you! At our Chambersburg facility, we manufacture the snacks people love, including potato chips, extruded snacks, pretzels, and popcorn. We are looking for an experienced Operations Manager who understands the pace and complexity of snack food manufacturing and has successfully led a three-shift operation. This is a highly visible, hands-on leadership role for someone who can bring people, processes, and production together. You will oversee daily production, warehouse, and maintenance activities while leading and developing two to three Shift Supervisors. Your goal will be to build an operation that consistently delivers strong results in safety, food quality, service, cost, and productivity. What You'll Do Lead the day-to-day operations of a fast-paced, three-shift snack food manufacturing facility. Develop, coach, and hold Shift Supervisors and their teams accountable for results. Support a culture where safety, food quality, teamwork, and continuous improvement come first. Ensure compliance with GMPs, food safety requirements, sanitation standards, and company policies. Drive improvements in production output, capacity, efficiency, labor utilization, product quality, and cost. Review production schedules and allocate people and resources effectively. Monitor performance, identify problems, and implement timely corrective actions. Ensure products are manufactured to specification and shipped to our Bethel warehouse on time. Partner with Maintenance to improve equipment reliability, minimize downtime, and fully utilize plant assets. Recruit, train, motivate, and develop production associates and leaders. Lead plant cleaning and sanitation activities, including equipment, packaging machines, walls, and floors. Maintain accurate and timely production records, reports, and operational data. Communicate priorities, challenges, and results effectively across departments and shifts. What You'll Bring Prior operations leadership experience in snack food manufacturing is strongly preferred. Demonstrated experience leading a three-shift manufacturing operation. Proven success leading production teams and developing frontline supervisors. Strong knowledge of GMPs, food safety, sanitation, workplace safety, quality, inventory, and production processes. Experience with budgeting, production planning, labor management, resource allocation, and continuous improvement. Working knowledge of food manufacturing equipment and plant maintenance needs. Strong computer skills, including the ability to work with spreadsheets, formulas, and operational reports. Bachelor's degree in Industrial Engineering, Business Management, Operations Management, or a related field is preferred. Strong decision-making, problem-solving, communication, and people-leadership skills. The ability to create accountability, lead by example, and remain adaptable in a changing environment. What Success Looks Like You will know you are making an impact when: Associates work safely and understand what is expected. Supervisors confidently lead their shifts and collaborate across the operation. Production goals are consistently achieved without compromising quality. Downtime, waste, and unnecessary costs are reduced. Products are made correctly and delivered on time. The plant continues to become safer, stronger, and more efficient. The Environment Snack manufacturing is active, fast-moving, and hands-on. This position regularly works in an environment that may be wet, oily, noisy, and warm. The Operations Manager must be comfortable spending time on the production floor and being visible across all shifts. If you are a practical, people-focused operations leader who knows snack food manufacturing and enjoys building teams that deliver results, we would love to hear from you. Compensation details: 00 Yearly Salary PId4a3d4bc275f-8994
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: Senior Manager, Image Science Engineering Job Code: 40203 Job Location: Rochester, NY Job Schedule: 9/80 (Every other Friday Off) Job Description: Leads a team of 15-25 engineers and scientists in the development of advanced image science, remote sensing, and data exploitation solutions. Provides technical leadership, mentorship, and oversight across image science activities including image formation, sensor phenomenology, calibration, algorithm development, image quality analysis, testing, integration, and sustainment. Responsible for staffing, talent development, training, and overall team leadership to meet business and program objectives. Manages departmental priorities, operating needs, and budgets, and works cross-functionally with software, systems, operations, and other engineering teams to deliver high-quality technical solutions. Drives continuous improvement in engineering processes, system performance, and technical execution while ensuring alignment with company goals, schedules, and customer requirements. Essential Functions: Lead and support Image Science personnel across multiple programs and technical efforts. Provide functional oversight for image science activities including analysis, calibration, image quality, and algorithm support. Partner with program leaders to align staffing, priorities, and technical resources with business needs. Conduct performance reviews, provide coaching, and support employee development and retention. Support recruiting, hiring, onboarding, and workforce planning for the Image Science function. Contribute to proposal efforts, including technical input, staffing plans, and basis of estimates. Support technical reviews, risk assessments, and root cause/corrective action activities. Mentor team members and encourage knowledge sharing and skill development. Qualifications: Bachelor's degree in Engineering, Physics, Imaging Science, Remote Sensing, Applied Mathematics, or a related technical field and relevant experience, or an equivalent combination of education and experience Experience in image science, remote sensing, electro-optical/infrared systems, sensor phenomenology, or related technical disciplines Experience leading or managing technical teams, projects, or functional engineering groups Knowledge of image science principles such as image quality analysis, calibration, validation, exploitation, or algorithm development Ability to support multiple programs and balance staffing, technical priorities, and business needs Experience working with cross-functional teams including systems, software, hardware, and program management Strong communication, problem-solving, and organizational skills Experience with performance management, coaching, mentoring, and employee development Active Top Secret Clearance with SCI or SCI eligibility Preferred Additional Skills: Prior functional management experience in an engineering or scientific organization Experience supporting proposal, capture, and business development activities, including staffing plans and basis of estimates Experience with EO/IR imaging systems, ISR systems, geospatial imagery, or sensor data exploitation Familiarity with image formation, phenomenology, modeling and simulation, or calibration methodologies Experience supporting root cause investigations and corrective action efforts for technical or program issues Knowledge of engineering processes, technical reviews, and lifecycle development activities Experience working in a defense, aerospace, or government-contractor environment In compliance with pay transparency requirements, the salary range for this role in the state of New York is $133,000-$247,000. 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. The application window for this position will close on 9/24/2026. 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, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
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: Senior Manager, Image Science Engineering Job Code: 40203 Job Location: Rochester, NY Job Schedule: 9/80 (Every other Friday Off) Job Description: Leads a team of 15-25 engineers and scientists in the development of advanced image science, remote sensing, and data exploitation solutions. Provides technical leadership, mentorship, and oversight across image science activities including image formation, sensor phenomenology, calibration, algorithm development, image quality analysis, testing, integration, and sustainment. Responsible for staffing, talent development, training, and overall team leadership to meet business and program objectives. Manages departmental priorities, operating needs, and budgets, and works cross-functionally with software, systems, operations, and other engineering teams to deliver high-quality technical solutions. Drives continuous improvement in engineering processes, system performance, and technical execution while ensuring alignment with company goals, schedules, and customer requirements. Essential Functions: Lead and support Image Science personnel across multiple programs and technical efforts. Provide functional oversight for image science activities including analysis, calibration, image quality, and algorithm support. Partner with program leaders to align staffing, priorities, and technical resources with business needs. Conduct performance reviews, provide coaching, and support employee development and retention. Support recruiting, hiring, onboarding, and workforce planning for the Image Science function. Contribute to proposal efforts, including technical input, staffing plans, and basis of estimates. Support technical reviews, risk assessments, and root cause/corrective action activities. Mentor team members and encourage knowledge sharing and skill development. Qualifications: Bachelor's degree in Engineering, Physics, Imaging Science, Remote Sensing, Applied Mathematics, or a related technical field and relevant experience, or an equivalent combination of education and experience Experience in image science, remote sensing, electro-optical/infrared systems, sensor phenomenology, or related technical disciplines Experience leading or managing technical teams, projects, or functional engineering groups Knowledge of image science principles such as image quality analysis, calibration, validation, exploitation, or algorithm development Ability to support multiple programs and balance staffing, technical priorities, and business needs Experience working with cross-functional teams including systems, software, hardware, and program management Strong communication, problem-solving, and organizational skills Experience with performance management, coaching, mentoring, and employee development Active Top Secret Clearance with SCI or SCI eligibility Preferred Additional Skills: Prior functional management experience in an engineering or scientific organization Experience supporting proposal, capture, and business development activities, including staffing plans and basis of estimates Experience with EO/IR imaging systems, ISR systems, geospatial imagery, or sensor data exploitation Familiarity with image formation, phenomenology, modeling and simulation, or calibration methodologies Experience supporting root cause investigations and corrective action efforts for technical or program issues Knowledge of engineering processes, technical reviews, and lifecycle development activities Experience working in a defense, aerospace, or government-contractor environment In compliance with pay transparency requirements, the salary range for this role in the state of New York is $133,000-$247,000. 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. The application window for this position will close on 9/24/2026. 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, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
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: Senior Specialist, Systems Engineering (Statistician) Job Code: 38776 Job Location: West Palm Beach, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The Statistician will apply statistical methods to a diverse product line and collaborates with other statisticians, engineers, and managers to provide statistics expertise for various engineering, operations, and business applications. The role requires ingenuity and creativity to solve complex problems while meeting delivery commitments despite obstacles and constraints. The Statistician will exercise considerable latitude and sound business judgment in determining the necessary scope of statistical work and in defining technical objectives and solutions. They are expected to fully understand customer requirements and expectations, develop robust plans, and produce deliverables with first-time quality. Additionally, the Statistician will communicate analysis approaches and results to a non-statistical audience and present or support reviews such as design reviews, engineering review boards, and Flight Readiness Reviews. Essential Functions: Working under limited general supervision, the statistician is fully accountable for independently performing Statistics assignments requiring a broad understanding of statistical principles and a working knowledge of Engineering principles and rocket engine fundamentals. Job responsibilities include: Promote statistical thinking by proactively offering statistical leadership and solutions to cross-functional teams supporting production and development programs. Utilize appropriate statistical data analysis, predictive modeling, and simulation tools to assist technical decision-making and anomaly resolution, including Bayesian methods. Provide sampling recommendations, develop experimental designs and conduct analyses to support engineering product development and process improvement activities. Build a return customer base with repeat consultation through exceeding expectations. Provide statistical expertise in support of reliability and risk assessment activities and business decision analysis. Documents work in reports and presentations, and present results to large diverse audiences that may include customer and industry technical experts. Identify and lead Six Sigma efforts across various sites. Support development and implementation of statistical quality control methods for application to operations. Contribute to Discipline growth by improving procedures, best practices, training, introducing state-of-the-art methods. Develop new applications of existing statistical tools and techniques to apply to key focus areas. Ability to obtain a Secret U.S. security clearance Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills: Master's degree in Statistics is preferred B.S. in Engineering, Mathematics, or Statistics is preferred Experience with statistical software packages such as Minitab, SAS, R, Python, and/or others Technical writing skills Familiarity with machine learning, Artificial Intelligence, and Bayesian methods ASQ Certified Six Sigma Green or Black Belt ASQ Certified Reliability Engineer ASQ Certified Quality Engineer L3Harris announced on January 5th, that AE Industrial Partners ("AE Industrial") has agreed to acquire a controlling interest in L3Harris' Space Propulsion and Power Systems business. This position has been identified as one that will transition to the new standalone company upon closing of the transaction. Until that time, L3Harris will continue its hiring activity within this business. 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, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
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: Senior Specialist, Systems Engineering (Statistician) Job Code: 38776 Job Location: West Palm Beach, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The Statistician will apply statistical methods to a diverse product line and collaborates with other statisticians, engineers, and managers to provide statistics expertise for various engineering, operations, and business applications. The role requires ingenuity and creativity to solve complex problems while meeting delivery commitments despite obstacles and constraints. The Statistician will exercise considerable latitude and sound business judgment in determining the necessary scope of statistical work and in defining technical objectives and solutions. They are expected to fully understand customer requirements and expectations, develop robust plans, and produce deliverables with first-time quality. Additionally, the Statistician will communicate analysis approaches and results to a non-statistical audience and present or support reviews such as design reviews, engineering review boards, and Flight Readiness Reviews. Essential Functions: Working under limited general supervision, the statistician is fully accountable for independently performing Statistics assignments requiring a broad understanding of statistical principles and a working knowledge of Engineering principles and rocket engine fundamentals. Job responsibilities include: Promote statistical thinking by proactively offering statistical leadership and solutions to cross-functional teams supporting production and development programs. Utilize appropriate statistical data analysis, predictive modeling, and simulation tools to assist technical decision-making and anomaly resolution, including Bayesian methods. Provide sampling recommendations, develop experimental designs and conduct analyses to support engineering product development and process improvement activities. Build a return customer base with repeat consultation through exceeding expectations. Provide statistical expertise in support of reliability and risk assessment activities and business decision analysis. Documents work in reports and presentations, and present results to large diverse audiences that may include customer and industry technical experts. Identify and lead Six Sigma efforts across various sites. Support development and implementation of statistical quality control methods for application to operations. Contribute to Discipline growth by improving procedures, best practices, training, introducing state-of-the-art methods. Develop new applications of existing statistical tools and techniques to apply to key focus areas. Ability to obtain a Secret U.S. security clearance Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills: Master's degree in Statistics is preferred B.S. in Engineering, Mathematics, or Statistics is preferred Experience with statistical software packages such as Minitab, SAS, R, Python, and/or others Technical writing skills Familiarity with machine learning, Artificial Intelligence, and Bayesian methods ASQ Certified Six Sigma Green or Black Belt ASQ Certified Reliability Engineer ASQ Certified Quality Engineer L3Harris announced on January 5th, that AE Industrial Partners ("AE Industrial") has agreed to acquire a controlling interest in L3Harris' Space Propulsion and Power Systems business. This position has been identified as one that will transition to the new standalone company upon closing of the transaction. Until that time, L3Harris will continue its hiring activity within this business. 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, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Description: The Product Line Manager is responsible for driving the growth, profitability, and market leadership of the Flamco product portfolio throughout North America. This role serves as the subject matter expert for hydronic system efficiency solutions, including expansion vessels, pressurization systems, air and dirt separation, vacuum degassing, hydraulic separation, and related technologies that improve HVAC system performance, reliability, and energy efficiency. The Product Line Manager works closely with sales, engineering, marketing, operations, and customers to develop product strategies, support market adoption, identify growth opportunities, and position Flamco as a leader in sustainable hydronic system solutions. This individual plays a key role in supporting Aalberts hfc's mission of enabling high-performance, energy-efficient buildings through innovative hydronic technologies. The successful candidate combines strong technical knowledge of hydronic HVAC systems with commercial leadership, market insight, and a passion for solving customer challenges. Requirements: Strategic Product Leadership Develop and execute growth strategies for the Flamco product portfolio, including expansion vessels, pressurization systems, air separators, dirt separators, vacuum degassing systems, hydraulic separators, and related hydronic efficiency products. Own the product roadmap and lifecycle strategy from market introduction through phase-out. Identify opportunities to increase adoption of energy-efficient hydronic solutions across commercial HVAC applications. Support new product launches and ensure products achieve targeted revenue, profitability, and market penetration goals. Collaborate with global product management teams to align North American market needs with future product development initiatives. Evaluate emerging industry trends, regulations, and building performance requirements that impact hydronic system design and operation. Market Development & Customer Engagement Serve as the voice of the customer and market expert for assigned product lines. Build relationships with consulting engineers, contractors, OEMs, distributors, and manufacturer representatives to understand market needs and identify growth opportunities. Conduct market research and competitive analysis to support product positioning and investment decisions. Monitor industry trends related to energy efficiency, sustainability, decarbonization, electrification, and hydronic system optimization. Support specification growth by promoting best practices for hydronic system performance, reliability, and lifecycle cost reduction. Attend industry events, trade shows, customer meetings, and technical conferences to promote Flamco solutions and gather market intelligence. Product Management & Business Performance Manage pricing strategy, product positioning, profitability, and lifecycle planning for assigned product lines. Review sales performance, market share, and business trends to identify growth opportunities and corrective actions. Partner with operations and supply chain teams to align inventory levels, lead times, and product availability with customer demand. Develop business cases and market assessments to support product investments and portfolio decisions. Maintain accurate product information and ensure alignment across all sales, marketing, and operational channels. Technical Leadership & Training Serve as the technical and commercial leader for the Flamco portfolio throughout North America. Develop and deliver product training programs for employees, manufacturer representatives, distributors, engineers, contractors, and customers. Support specification efforts by educating the market on proper application of air removal, dirt separation, pressurization, expansion control, and hydronic efficiency solutions. Collaborate with application engineering and marketing teams to develop technical tools, calculators, case studies, and educational content. Assist in the creation of technical articles, white papers, presentations, webinars, and product literature. Provide technical support and guidance for strategic projects, key customer opportunities, and product-related challenges. Cross-Functional Collaboration Work closely with Sales, Marketing, Engineering, Operations, Customer Service, and Supply Chain teams to execute product strategies. Support strategic customer visits, project reviews, and key account initiatives. Assist in identifying opportunities for portfolio expansion, market penetration, and specification growth. Partner with global teams to communicate North American market requirements and customer feedback. Competencies Hydronic Systems Expertise Strong understanding of commercial hydronic heating and cooling systems. Knowledge of expansion control, system pressurization, air elimination, dirt separation, hydraulic separation, and water quality management. Understanding of HVAC system efficiency, pumping optimization, and building performance improvement strategies. Ability to interpret mechanical specifications, piping schematics, equipment schedules, and HVAC design documents. Familiarity with industry standards, energy codes, and HVAC best practices. Business & Commercial Leadership Ability to develop and execute product growth strategies. Strong understanding of product lifecycle management, pricing strategy, and profitability analysis. Ability to translate technical features into compelling customer value propositions. Strong presentation, communication, and relationship-building skills. Proven ability to influence without direct authority across multiple functions. Analytical & Problem-Solving Skills Ability to analyze market trends, customer needs, competitive activity, and business performance data. Strong critical thinking and decision-making capabilities. Proven ability to manage multiple priorities while meeting deadlines. PI978ac2b10eff-6434
07/27/2026
Full time
Description: The Product Line Manager is responsible for driving the growth, profitability, and market leadership of the Flamco product portfolio throughout North America. This role serves as the subject matter expert for hydronic system efficiency solutions, including expansion vessels, pressurization systems, air and dirt separation, vacuum degassing, hydraulic separation, and related technologies that improve HVAC system performance, reliability, and energy efficiency. The Product Line Manager works closely with sales, engineering, marketing, operations, and customers to develop product strategies, support market adoption, identify growth opportunities, and position Flamco as a leader in sustainable hydronic system solutions. This individual plays a key role in supporting Aalberts hfc's mission of enabling high-performance, energy-efficient buildings through innovative hydronic technologies. The successful candidate combines strong technical knowledge of hydronic HVAC systems with commercial leadership, market insight, and a passion for solving customer challenges. Requirements: Strategic Product Leadership Develop and execute growth strategies for the Flamco product portfolio, including expansion vessels, pressurization systems, air separators, dirt separators, vacuum degassing systems, hydraulic separators, and related hydronic efficiency products. Own the product roadmap and lifecycle strategy from market introduction through phase-out. Identify opportunities to increase adoption of energy-efficient hydronic solutions across commercial HVAC applications. Support new product launches and ensure products achieve targeted revenue, profitability, and market penetration goals. Collaborate with global product management teams to align North American market needs with future product development initiatives. Evaluate emerging industry trends, regulations, and building performance requirements that impact hydronic system design and operation. Market Development & Customer Engagement Serve as the voice of the customer and market expert for assigned product lines. Build relationships with consulting engineers, contractors, OEMs, distributors, and manufacturer representatives to understand market needs and identify growth opportunities. Conduct market research and competitive analysis to support product positioning and investment decisions. Monitor industry trends related to energy efficiency, sustainability, decarbonization, electrification, and hydronic system optimization. Support specification growth by promoting best practices for hydronic system performance, reliability, and lifecycle cost reduction. Attend industry events, trade shows, customer meetings, and technical conferences to promote Flamco solutions and gather market intelligence. Product Management & Business Performance Manage pricing strategy, product positioning, profitability, and lifecycle planning for assigned product lines. Review sales performance, market share, and business trends to identify growth opportunities and corrective actions. Partner with operations and supply chain teams to align inventory levels, lead times, and product availability with customer demand. Develop business cases and market assessments to support product investments and portfolio decisions. Maintain accurate product information and ensure alignment across all sales, marketing, and operational channels. Technical Leadership & Training Serve as the technical and commercial leader for the Flamco portfolio throughout North America. Develop and deliver product training programs for employees, manufacturer representatives, distributors, engineers, contractors, and customers. Support specification efforts by educating the market on proper application of air removal, dirt separation, pressurization, expansion control, and hydronic efficiency solutions. Collaborate with application engineering and marketing teams to develop technical tools, calculators, case studies, and educational content. Assist in the creation of technical articles, white papers, presentations, webinars, and product literature. Provide technical support and guidance for strategic projects, key customer opportunities, and product-related challenges. Cross-Functional Collaboration Work closely with Sales, Marketing, Engineering, Operations, Customer Service, and Supply Chain teams to execute product strategies. Support strategic customer visits, project reviews, and key account initiatives. Assist in identifying opportunities for portfolio expansion, market penetration, and specification growth. Partner with global teams to communicate North American market requirements and customer feedback. Competencies Hydronic Systems Expertise Strong understanding of commercial hydronic heating and cooling systems. Knowledge of expansion control, system pressurization, air elimination, dirt separation, hydraulic separation, and water quality management. Understanding of HVAC system efficiency, pumping optimization, and building performance improvement strategies. Ability to interpret mechanical specifications, piping schematics, equipment schedules, and HVAC design documents. Familiarity with industry standards, energy codes, and HVAC best practices. Business & Commercial Leadership Ability to develop and execute product growth strategies. Strong understanding of product lifecycle management, pricing strategy, and profitability analysis. Ability to translate technical features into compelling customer value propositions. Strong presentation, communication, and relationship-building skills. Proven ability to influence without direct authority across multiple functions. Analytical & Problem-Solving Skills Ability to analyze market trends, customer needs, competitive activity, and business performance data. Strong critical thinking and decision-making capabilities. Proven ability to manage multiple priorities while meeting deadlines. PI978ac2b10eff-6434
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: Director, Program Management Job Code: 39951 Job Location: Rochester, NY Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris is seeking a strategic and results-driven Director of Program Management to lead program execution across the Airborne Imaging Portfolio within Military Avionics. This leader will be responsible for driving portfolio performance across cost, schedule, technical execution, customer satisfaction, and program growth while ensuring alignment with business objectives and operational priorities. The Director will lead a team of program managers and cross-functional partners in the execution of complex defense and aerospace programs, serving as a key interface with internal leadership, customers, and functional teams. This role requires a strong blend of business acumen, program execution discipline, customer engagement, and people leadership. Essential Functions: Develop, coach, and lead a high-performing team of program management professionals Provide strategic oversight of multiple programs, ensuring delivery on cost, schedule, quality, and technical commitments Drive portfolio health, including risk management, financial performance, forecasting, resource planning, and milestone execution Serve as a primary escalation point for program issues and proactively lead mitigation and recovery plans where needed Build and maintain strong customer relationships, ensuring responsiveness, trust, and alignment to mission needs Support growth objectives by partnering on capture, proposals, strategic planning, and new business opportunities Lead portfolio reviews and provide clear, actionable communication to executive leadership on performance, risks, opportunities, and business outlook Responsible for the overall development and management of the financial forecasts and strategic planning of the business area Establish and reinforce program management best practices, standard work, and execution rigor across the portfolio Ability to Travel up to 15% Qualifications: Bachelor's Degree with a minimum of 15 years of prior related experience. Graduate Degree with a minimum of 13 years of prior related experience. In lieu of a degree, minimum of 19 years of prior related experience. Active Secret US Security Clearance required Preferred Additional Skills: Demonstrated success in growing and capturing new business opportunities Ability to make effective decisions regarding the profitability and achievability of pursuits Ability to work with other Program Managers, Business Development Managers, and Engineering/Support functions Experience developing broad, cooperative relationships with numerous groups and individuals including directly leading a team of Program Managers Ability to extensively analyze implications of both near and long-term solutions Knowledge/experience with optics or optical engineering Experience with executing throughout the full avionics' lifecycle including requirements flow-down and allocation, design, development, test, and sell-off Previous experience managing government/DoD contracts Demonstrated experience with the implementation and execution using Earned Value Management Systems (EVMS) and employment of applicable metrics In compliance with pay transparency requirements, the salary range for this role in New York state is $160,000 - $297,000. 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, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
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: Director, Program Management Job Code: 39951 Job Location: Rochester, NY Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris is seeking a strategic and results-driven Director of Program Management to lead program execution across the Airborne Imaging Portfolio within Military Avionics. This leader will be responsible for driving portfolio performance across cost, schedule, technical execution, customer satisfaction, and program growth while ensuring alignment with business objectives and operational priorities. The Director will lead a team of program managers and cross-functional partners in the execution of complex defense and aerospace programs, serving as a key interface with internal leadership, customers, and functional teams. This role requires a strong blend of business acumen, program execution discipline, customer engagement, and people leadership. Essential Functions: Develop, coach, and lead a high-performing team of program management professionals Provide strategic oversight of multiple programs, ensuring delivery on cost, schedule, quality, and technical commitments Drive portfolio health, including risk management, financial performance, forecasting, resource planning, and milestone execution Serve as a primary escalation point for program issues and proactively lead mitigation and recovery plans where needed Build and maintain strong customer relationships, ensuring responsiveness, trust, and alignment to mission needs Support growth objectives by partnering on capture, proposals, strategic planning, and new business opportunities Lead portfolio reviews and provide clear, actionable communication to executive leadership on performance, risks, opportunities, and business outlook Responsible for the overall development and management of the financial forecasts and strategic planning of the business area Establish and reinforce program management best practices, standard work, and execution rigor across the portfolio Ability to Travel up to 15% Qualifications: Bachelor's Degree with a minimum of 15 years of prior related experience. Graduate Degree with a minimum of 13 years of prior related experience. In lieu of a degree, minimum of 19 years of prior related experience. Active Secret US Security Clearance required Preferred Additional Skills: Demonstrated success in growing and capturing new business opportunities Ability to make effective decisions regarding the profitability and achievability of pursuits Ability to work with other Program Managers, Business Development Managers, and Engineering/Support functions Experience developing broad, cooperative relationships with numerous groups and individuals including directly leading a team of Program Managers Ability to extensively analyze implications of both near and long-term solutions Knowledge/experience with optics or optical engineering Experience with executing throughout the full avionics' lifecycle including requirements flow-down and allocation, design, development, test, and sell-off Previous experience managing government/DoD contracts Demonstrated experience with the implementation and execution using Earned Value Management Systems (EVMS) and employment of applicable metrics In compliance with pay transparency requirements, the salary range for this role in New York state is $160,000 - $297,000. 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, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
07/27/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
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
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: Specialist, Project Engineering (Space Systems) : Sign-on bonus ($15K max) Job Code: 38123 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Sign-on Bonus: A sign-on bonus of up to $15K may be included as part of an offer package for this level Job Description: The L3Harris AgileEO (Electro-Optical) - Space Superiority and Imaging Systems Division in Wilmington, MA seek is actively seeking an experience Project Engineer to join our growing team. This role will be responsible for full lifecycle Project Engineering support for a range of software and hardware development, assembly, and integration and test efforts to deliver critical space-based remote sensing systems for our customers. We look forward to reviewing your application! Essential Functions: Leads a project team (10-25 people) to meet customer requirements within allocated cost and schedule commitments. Develop, oversee, and coordinate the cost/schedule/technical aspects of an ongoing engineering project within the program guidelines set by the Program Manager and Customer. Reviews status of engineering projects and budgets, manages schedules, drives execution, identifies opportunities, and delivers results through achieving payment milestones. Assess engineering issues and develop resolutions to meet productivity, quality, and customer-satisfaction goals and objectives. Identifies, tracks, mitigates, manages, and dispositions program-level risks and opportunities. Estimate resource and material needs for the project/product. Provides the coordination between resource managers/supervisors and ensures all necessary reviews and approvals are received. Understands how to develop a schedule using Earned Value on a program with $5M-$20M in value and manage a project using the Earned Value Indicators on a DCMA surveilled program (highest rigor applied). Participate in small teams and perform a wide variety of tasks to drive execution (e.g., value stream mapping activities). Ability and willingness to work in a collaborative team environment on quick reaction projects. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience Prior or current professional experience as a Cost Account Manager of $2M+ in scope Professional experience supporting defense and/or aerospace programs Professional experience managing projects with total budgets of $5M-$20M Experience in development and integration projects Ability to obtain a U.S. Top Secret Security Clearance Preferred Additional Skills: Program Management Institute - PMP certification Experience in the aerospace or defense industry, such as space telescope, or optical-mechanical development programs Experience or knowledge of Government contract acquisition lifecycle Experience with operations and/or manufacturing activities Professional experience with Risk and Opportunity Management Experience working with teams in a matrix organization Strong understanding of systems engineering principles and practices, particularly related to space systems In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $92,500.00 - $171,500.00. 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, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
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: Specialist, Project Engineering (Space Systems) : Sign-on bonus ($15K max) Job Code: 38123 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Sign-on Bonus: A sign-on bonus of up to $15K may be included as part of an offer package for this level Job Description: The L3Harris AgileEO (Electro-Optical) - Space Superiority and Imaging Systems Division in Wilmington, MA seek is actively seeking an experience Project Engineer to join our growing team. This role will be responsible for full lifecycle Project Engineering support for a range of software and hardware development, assembly, and integration and test efforts to deliver critical space-based remote sensing systems for our customers. We look forward to reviewing your application! Essential Functions: Leads a project team (10-25 people) to meet customer requirements within allocated cost and schedule commitments. Develop, oversee, and coordinate the cost/schedule/technical aspects of an ongoing engineering project within the program guidelines set by the Program Manager and Customer. Reviews status of engineering projects and budgets, manages schedules, drives execution, identifies opportunities, and delivers results through achieving payment milestones. Assess engineering issues and develop resolutions to meet productivity, quality, and customer-satisfaction goals and objectives. Identifies, tracks, mitigates, manages, and dispositions program-level risks and opportunities. Estimate resource and material needs for the project/product. Provides the coordination between resource managers/supervisors and ensures all necessary reviews and approvals are received. Understands how to develop a schedule using Earned Value on a program with $5M-$20M in value and manage a project using the Earned Value Indicators on a DCMA surveilled program (highest rigor applied). Participate in small teams and perform a wide variety of tasks to drive execution (e.g., value stream mapping activities). Ability and willingness to work in a collaborative team environment on quick reaction projects. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience Prior or current professional experience as a Cost Account Manager of $2M+ in scope Professional experience supporting defense and/or aerospace programs Professional experience managing projects with total budgets of $5M-$20M Experience in development and integration projects Ability to obtain a U.S. Top Secret Security Clearance Preferred Additional Skills: Program Management Institute - PMP certification Experience in the aerospace or defense industry, such as space telescope, or optical-mechanical development programs Experience or knowledge of Government contract acquisition lifecycle Experience with operations and/or manufacturing activities Professional experience with Risk and Opportunity Management Experience working with teams in a matrix organization Strong understanding of systems engineering principles and practices, particularly related to space systems In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $92,500.00 - $171,500.00. 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, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Lead AI Engineer (Vision model customization, VML) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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
Lead AI Engineer (Vision model customization, VML) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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 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).
Senior Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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
Senior Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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).
Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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
Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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).
Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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
Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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).
Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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
Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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).
Adams Communication & Engineering Technology Inc. Aerospace Division
Patuxent River, Maryland
Site Manager - H-53 Flight Test Operations (HX-21) Location: Naval Air Station Patuxent River (NAS PAX River), MD Program: H-53 Flight Test Operations - HX-21 Schedule: Full-Time Travel: Up to 15% as required Clearance Required: Active Secret Clearance Estimated Salary Range: $125,000-$140,000 annually, commensurate with experience, qualifications, and security clearance. Position Summary Adams Communication & Engineering Technology (ACET) is seeking a highly experienced Site Manager to lead day-to-day operations supporting the H-53 Flight Test Program at Air Test and Evaluation Squadron TWO ONE (HX-21) aboard Naval Air Station Patuxent River. This position serves as ACET's senior on-site leader and primary interface with Government leadership, responsible for directing maintenance, modification, quality assurance, maintenance control, logistics, and program execution in support of developmental flight test operations. The Site Manager ensures all work is executed in accordance with COMNAVAIRFORINST 4790.2 (NAMP), DCMA Instruction 8210-1D, applicable NAVAIR instructions, contractual requirements, Ground Operating Procedures, and ACET operational standards while maintaining the highest levels of aircraft safety, quality, and mission readiness.
07/27/2026
Full time
Site Manager - H-53 Flight Test Operations (HX-21) Location: Naval Air Station Patuxent River (NAS PAX River), MD Program: H-53 Flight Test Operations - HX-21 Schedule: Full-Time Travel: Up to 15% as required Clearance Required: Active Secret Clearance Estimated Salary Range: $125,000-$140,000 annually, commensurate with experience, qualifications, and security clearance. Position Summary Adams Communication & Engineering Technology (ACET) is seeking a highly experienced Site Manager to lead day-to-day operations supporting the H-53 Flight Test Program at Air Test and Evaluation Squadron TWO ONE (HX-21) aboard Naval Air Station Patuxent River. This position serves as ACET's senior on-site leader and primary interface with Government leadership, responsible for directing maintenance, modification, quality assurance, maintenance control, logistics, and program execution in support of developmental flight test operations. The Site Manager ensures all work is executed in accordance with COMNAVAIRFORINST 4790.2 (NAMP), DCMA Instruction 8210-1D, applicable NAVAIR instructions, contractual requirements, Ground Operating Procedures, and ACET operational standards while maintaining the highest levels of aircraft safety, quality, and mission readiness.
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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).
Senior Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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
Senior Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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).
