Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/12/2026
Full time
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Are you an experienced Sales Professional, Restaurant Manager, Culinary Manager or Chef looking for career development opportunities? Join Sysco's World Class Sales Team and explore all the benefits and perks. Why you should join our Sales Team: Competitive base salary, bonus, plus promotional incentive opportunities Car allowance (mileage reimbursement for candidates in CA) and cell phone provided Career pathing opportunities for both entry level, and experienced individuals Opportunity to be part of a purpose driven organization that supports communities and associates Specialized sales training Individual as well as team-based selling Opportunity to learn different ethnic segments Monthly and annual sales rewards and recognition Robust benefits package including an Employee Stock Purchase Plan, & 401(k) with automatic matching JOB SUMMARY This is an outside sales position responsible for promoting the company's products and services and for building relationships with new and existing accounts. The main focus is to help Sysco customers succeed while achieving sales and profit goals established by the company. This position may require working some non-traditional hours (evening, weekends, and holidays) to successfully meet customers' needs. RESPONSIBILITIES Develop new business, penetrate existing accounts, and minimize lost business to achieve profitable sales growth and special objectives within assigned territory. Seek and qualify prospects following company account stratification goals. Research customer business needs and develops a mix of products and service to meet needs. Evaluate market trends and recommend products to customers, based on business needs and goals. Be informed of market conditions, product innovations, and competitors' products, prices, and sales; share information with customers as part of value-added services provided. Answer customers' questions about products, prices, availability, and product use. Provide product information and practical training to customer personnel. Drive personal vehicle to customer accounts, conventions, company meetings, etc. Communicate and collect accounts receivable as necessary, working with the credit department and client; collect all balances due based on approved credit terms. Manage deliveries to the routing schedule published by the transportation department; troubleshoot any problems that occur during the order process (for example, out of stock items, special order items, low inventory, etc.). Participate in company functions, promotions, customer visits, and customer events. Attend and participate in general sales and district meetings. Engage in ongoing training sessions. Assist with the training of new employees as requested. Review and analyze daily and weekly reports such as special-order requests, customer bid files, and sales/gross profit margin data. Perform administrative duties, such as preparing sales budgets and reports, maintaining sales records, processing credits, and pick-up requests, preparing sales quotes and menu suggestions, and filing reports. Other duties may be assigned. QUALIFICATIONS Required Education/Experience Bachelor's degree in Business, Sales, Marketing, Hospitality, Culinary Arts or related discipline OR HSD/GED and 3 years Restaurant Management, B2B or outside sales experience, or equivalent relatable experience including completion of the Sysco Sales Internship. Preferred Qualifications Bi-Lingual Restaurant Management, Foodservice Outside Sales, Chef Experience preferred Certificates, Licenses, and Registrations Valid driver's license with a driving record that meets company insurability standards. Current automobile insurance with the following limits of liability: Bodily injury - $100,000 each person and $300,000 each accident; property damage - $100,000 is required Requirement Pass employment testing Must sign Sysco Protective Covenants Agreement. Reside or willing to relocate to the geographical vicinity of territory. Professional Skills Basic PC skills and proficiency with MS Office. Ability to read, write, speak English. Competencies Building Trust Building Customer Loyalty Follow-up Sales Ability / Persuasiveness Managing Work Adaptability Communication
09/12/2026
Full time
Are you an experienced Sales Professional, Restaurant Manager, Culinary Manager or Chef looking for career development opportunities? Join Sysco's World Class Sales Team and explore all the benefits and perks. Why you should join our Sales Team: Competitive base salary, bonus, plus promotional incentive opportunities Car allowance (mileage reimbursement for candidates in CA) and cell phone provided Career pathing opportunities for both entry level, and experienced individuals Opportunity to be part of a purpose driven organization that supports communities and associates Specialized sales training Individual as well as team-based selling Opportunity to learn different ethnic segments Monthly and annual sales rewards and recognition Robust benefits package including an Employee Stock Purchase Plan, & 401(k) with automatic matching JOB SUMMARY This is an outside sales position responsible for promoting the company's products and services and for building relationships with new and existing accounts. The main focus is to help Sysco customers succeed while achieving sales and profit goals established by the company. This position may require working some non-traditional hours (evening, weekends, and holidays) to successfully meet customers' needs. RESPONSIBILITIES Develop new business, penetrate existing accounts, and minimize lost business to achieve profitable sales growth and special objectives within assigned territory. Seek and qualify prospects following company account stratification goals. Research customer business needs and develops a mix of products and service to meet needs. Evaluate market trends and recommend products to customers, based on business needs and goals. Be informed of market conditions, product innovations, and competitors' products, prices, and sales; share information with customers as part of value-added services provided. Answer customers' questions about products, prices, availability, and product use. Provide product information and practical training to customer personnel. Drive personal vehicle to customer accounts, conventions, company meetings, etc. Communicate and collect accounts receivable as necessary, working with the credit department and client; collect all balances due based on approved credit terms. Manage deliveries to the routing schedule published by the transportation department; troubleshoot any problems that occur during the order process (for example, out of stock items, special order items, low inventory, etc.). Participate in company functions, promotions, customer visits, and customer events. Attend and participate in general sales and district meetings. Engage in ongoing training sessions. Assist with the training of new employees as requested. Review and analyze daily and weekly reports such as special-order requests, customer bid files, and sales/gross profit margin data. Perform administrative duties, such as preparing sales budgets and reports, maintaining sales records, processing credits, and pick-up requests, preparing sales quotes and menu suggestions, and filing reports. Other duties may be assigned. QUALIFICATIONS Required Education/Experience Bachelor's degree in Business, Sales, Marketing, Hospitality, Culinary Arts or related discipline OR HSD/GED and 3 years Restaurant Management, B2B or outside sales experience, or equivalent relatable experience including completion of the Sysco Sales Internship. Preferred Qualifications Bi-Lingual Restaurant Management, Foodservice Outside Sales, Chef Experience preferred Certificates, Licenses, and Registrations Valid driver's license with a driving record that meets company insurability standards. Current automobile insurance with the following limits of liability: Bodily injury - $100,000 each person and $300,000 each accident; property damage - $100,000 is required Requirement Pass employment testing Must sign Sysco Protective Covenants Agreement. Reside or willing to relocate to the geographical vicinity of territory. Professional Skills Basic PC skills and proficiency with MS Office. Ability to read, write, speak English. Competencies Building Trust Building Customer Loyalty Follow-up Sales Ability / Persuasiveness Managing Work Adaptability Communication
The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven Engineering professional to lead and grow the team that builds the infrastructure powering AI development across the company. You will own the people leadership, hiring, and day-to-day execution of the AI Platform team, partnering closely with technical leadership to translate roadmap priorities into delivery while building a high-performing, high-trust engineering culture. The Team This is a unique opportunity to lead a team at the center of how MassMutual builds and operates the platform powering its AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. As the engineering director, you will partner closely with the AI engineering, product, and cloud engineering teams across the enterprise, and you will invest in your team's growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of people leadership that helps engineers do their best work. The Impact Own the people leadership of the AI Platform development team-hiring, onboarding, performance management, and career development-for a team of AI platform engineers. Drive execution against the AI platform roadmap-partner with key stakeholders to break strategic priorities into achievable sprints and milestones and hold the team accountable to delivery. Stay technical enough to lead-participate in architecture discussions and design reviews for systems like agent runtime infrastructure, tool/plugin registries, memory and context management layers, and agent observability pipelines, even when you're not writing production code day to day. Champion engineering excellence: set and uphold standards for code quality, reliability, on-call practices, and operational maturity across the platform. Manage up and out: provide clear, honest reporting on team progress, risks, and resourcing needs, and communicate technical trade-offs to senior stakeholders. Be the primary advocate for your team's wellbeing and growth-removing blockers, building a high-trust culture, and raising the team's technical craft through design reviews and documentation habits. The Minimum Qualifications 3+ years of experience as a people manager of software, platform, or infrastructure engineers, plus 5+ years of overall software engineering experience. Demonstrated track record of hiring, coaching, and retaining strong engineers, with experience leading teams through ambiguous, fast-moving priorities. Working knowledge of cloud-native architecture: Kubernetes, managed cloud services, networking, and multi-tenancy patterns across AWS, GCP, or Azure, sufficient to engage credibly in technical discussions. Proven ability to lead a team through complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and risk throughout. Exposure to AI/ML infrastructure: model serving, inference pipelines, agentic solution or LLM integration patterns. Experience setting and upholding engineering standards (code quality, on-call practices, operational excellence) across a team. Strong communication skills: able to translate between technical depth and business priorities for different audiences, with clear written documentation habits. Bachelors degree in a computer science, engineering or similar discipline. Must be able to work in the US without sponsorship now or in the future. The Ideal Qualifications Experience leading a team that built an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience. Familiarity with AI safety, model evaluation, and governance frameworks. Ability to lead with both people and technical credibility-influencing design decisions, driving alignment, and raising quality bar across the team. Open-source contributions to platform or ML infrastructure tooling. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. Advanced educational degree preferred. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
09/12/2026
Full time
The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven Engineering professional to lead and grow the team that builds the infrastructure powering AI development across the company. You will own the people leadership, hiring, and day-to-day execution of the AI Platform team, partnering closely with technical leadership to translate roadmap priorities into delivery while building a high-performing, high-trust engineering culture. The Team This is a unique opportunity to lead a team at the center of how MassMutual builds and operates the platform powering its AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. As the engineering director, you will partner closely with the AI engineering, product, and cloud engineering teams across the enterprise, and you will invest in your team's growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of people leadership that helps engineers do their best work. The Impact Own the people leadership of the AI Platform development team-hiring, onboarding, performance management, and career development-for a team of AI platform engineers. Drive execution against the AI platform roadmap-partner with key stakeholders to break strategic priorities into achievable sprints and milestones and hold the team accountable to delivery. Stay technical enough to lead-participate in architecture discussions and design reviews for systems like agent runtime infrastructure, tool/plugin registries, memory and context management layers, and agent observability pipelines, even when you're not writing production code day to day. Champion engineering excellence: set and uphold standards for code quality, reliability, on-call practices, and operational maturity across the platform. Manage up and out: provide clear, honest reporting on team progress, risks, and resourcing needs, and communicate technical trade-offs to senior stakeholders. Be the primary advocate for your team's wellbeing and growth-removing blockers, building a high-trust culture, and raising the team's technical craft through design reviews and documentation habits. The Minimum Qualifications 3+ years of experience as a people manager of software, platform, or infrastructure engineers, plus 5+ years of overall software engineering experience. Demonstrated track record of hiring, coaching, and retaining strong engineers, with experience leading teams through ambiguous, fast-moving priorities. Working knowledge of cloud-native architecture: Kubernetes, managed cloud services, networking, and multi-tenancy patterns across AWS, GCP, or Azure, sufficient to engage credibly in technical discussions. Proven ability to lead a team through complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and risk throughout. Exposure to AI/ML infrastructure: model serving, inference pipelines, agentic solution or LLM integration patterns. Experience setting and upholding engineering standards (code quality, on-call practices, operational excellence) across a team. Strong communication skills: able to translate between technical depth and business priorities for different audiences, with clear written documentation habits. Bachelors degree in a computer science, engineering or similar discipline. Must be able to work in the US without sponsorship now or in the future. The Ideal Qualifications Experience leading a team that built an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience. Familiarity with AI safety, model evaluation, and governance frameworks. Ability to lead with both people and technical credibility-influencing design decisions, driving alignment, and raising quality bar across the team. Open-source contributions to platform or ML infrastructure tooling. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. Advanced educational degree preferred. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Job Description Job Description Location: Maryland or Pennsylvania based, with regular travel to project sites throughout the state and occasional out-of-state assignments in neighboring states (e.g. MD, PA, NJ, VA, DE). Role Overview: Pfister Energy is seeking an Electrical Construction Manager to lead and coordinate all electrical construction activities across multiple commercial-scale rooftop and ground-mounted solar PV projects. This role provides direct field leadership to electrical crews, ensures work is executed safely, efficiently, and in compliance with project documents, codes, and company standards, and serves as the primary electrical field leader supporting Construction Managers and Project Managers. This position requires a hands-on leader who can manage manpower across multiple sites, proactively resolve field challenges, and maintain high standards for safety, quality, and productivity while supporting aggressive project schedules. Key Responsibilities: Field Leadership & Crew Management Lead, supervise, and support Pfister Energy electrical foremen and electricians across multiple active projects Assign manpower, manage crew sizes, and adjust staffing based on schedules, productivity, and project priorities Mentor and develop electrical foremen and field staff Enforce Pfister Energy jobsite policies, procedures, and performance expectations Electrical Construction Oversight Oversee installation of commercial solar PV electrical systems including: DC collection systems and homeruns Combiner boxes and DC disconnects String and central inverters AC collection systems, transformers, and interconnection equipment Grounding and bonding systems Ensure all electrical work complies with NEC, AHJ, utility, and Pfister Energy standards Review electrical drawings, one-lines, and specifications with field teams before and during construction Identify constructability issues early and collaborate with Construction Managers and Project Managers to develop solutions Safety Leadership Champion Pfister Energy's safety-first culture across all job sites Ensure compliance with OSHA, NFPA 70E, and company safety programs Lead or support daily tailboard talks, job hazard analyses (JHAs), and site safety walks Immediately address unsafe conditions or behaviors and implement corrective actions Schedule, Productivity & Coordination Coordinate daily and weekly electrical work plans with Construction Managers and Project Managers Track electrical progress, manpower levels, and productivity across multiple projects Identify schedule risks, manpower gaps, and material constraints and escalate as needed Coordinate electrical work with civil, structural, roofing, and other trades Quality Control & Inspections Ensure electrical installations meet Pfister Energy quality standards and project QA/QC requirements Support internal inspections, third-party inspections, AHJ, and utility inspections Assist with punch list completion, electrical closeout, and turnover documentation Support commissioning, testing, energization, and project closeout activities Communication & Reporting Serve as the primary electrical field point of contact for Construction Managers Provide regular updates to the Director of Construction regarding manpower, progress, risks, and needs Document and communicate field issues, lessons learned, and improvement opportunities Support continuous improvement of Pfister Energy's electrical means and methods Required Qualifications: Minimum of 5-7 years of electrical construction experience Minimum of 3 years in a leadership role (Electrical Superintendent, General Foreman, or equivalent) Commercial solar PV experience (rooftop and ground mount) Strong working knowledge of NEC, OSHA, and solar electrical systems Proven experience leading non-union, self-perform electrical crews Ability to manage multiple active projects simultaneously Proficiency reading and interpreting electrical drawings and specifications Ability to work outdoors in varying weather conditions Ability to access rooftops, ladders, and uneven terrain Ability to lift up to 50 lbs as required Ability to travel regularly within Maryland and occasionally to neighboring states Preferred Qualifications: Journeyman or Master Electrician license NABCEP certification Experience with utility interconnections and commissioning support Familiarity with Procore or similar construction management software Skills & Competencies: Strong leadership, accountability, and team development skills High level of field problem-solving and decision-making ability Clear, professional communication with field and management teams Strong focus on safety, quality, and productivity Ability to perform effectively in a fast-paced, schedule-driven environment Compensation & Benefits: Competitive Salary Performance-based Bonuses Per diem and lodging for out-of-area work Company vehicle or vehicle allowance with fuel card Matching 401(k) Health, Dental, and Vision Insurance Health Reimbursement Account Life, AD&D, Accident, Disability, and Critical Illness Insurance Paid Time Off and Paid Holidays Employee Referral Bonuses Stable year-round work with a growing EPC Applicants must be authorized to work in the United States without the need for current or future employment sponsorship. Company Description Pfister Energy is a nationally recognized renewable energy company helping businesses control rising energy costs through turnkey onsite energy solutions. Since 2005, we've developed, designed, financed, and installed more than 900 MW of clean energy systems for commercial and industrial clients. Our expertise includes solar, storage, microgrids, EV charging, O&M, and asset lifecycle services. Known for trusted expertise and efficient execution, we deliver future-ready solutions that strengthen resilience, reduce costs, and support long-term sustainability goals. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. Company Description Pfister Energy is a nationally recognized renewable energy company helping businesses control rising energy costs through turnkey onsite energy solutions. Since 2005, we've developed, designed, financed, and installed more than 900 MW of clean energy systems for commercial and industrial clients. Our expertise includes solar, storage, microgrids, EV charging, O&M, and asset lifecycle services. Known for trusted expertise and efficient execution, we deliver future-ready solutions that strengthen resilience, reduce costs, and support long-term sustainability goals. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law.
09/12/2026
Full time
Job Description Job Description Location: Maryland or Pennsylvania based, with regular travel to project sites throughout the state and occasional out-of-state assignments in neighboring states (e.g. MD, PA, NJ, VA, DE). Role Overview: Pfister Energy is seeking an Electrical Construction Manager to lead and coordinate all electrical construction activities across multiple commercial-scale rooftop and ground-mounted solar PV projects. This role provides direct field leadership to electrical crews, ensures work is executed safely, efficiently, and in compliance with project documents, codes, and company standards, and serves as the primary electrical field leader supporting Construction Managers and Project Managers. This position requires a hands-on leader who can manage manpower across multiple sites, proactively resolve field challenges, and maintain high standards for safety, quality, and productivity while supporting aggressive project schedules. Key Responsibilities: Field Leadership & Crew Management Lead, supervise, and support Pfister Energy electrical foremen and electricians across multiple active projects Assign manpower, manage crew sizes, and adjust staffing based on schedules, productivity, and project priorities Mentor and develop electrical foremen and field staff Enforce Pfister Energy jobsite policies, procedures, and performance expectations Electrical Construction Oversight Oversee installation of commercial solar PV electrical systems including: DC collection systems and homeruns Combiner boxes and DC disconnects String and central inverters AC collection systems, transformers, and interconnection equipment Grounding and bonding systems Ensure all electrical work complies with NEC, AHJ, utility, and Pfister Energy standards Review electrical drawings, one-lines, and specifications with field teams before and during construction Identify constructability issues early and collaborate with Construction Managers and Project Managers to develop solutions Safety Leadership Champion Pfister Energy's safety-first culture across all job sites Ensure compliance with OSHA, NFPA 70E, and company safety programs Lead or support daily tailboard talks, job hazard analyses (JHAs), and site safety walks Immediately address unsafe conditions or behaviors and implement corrective actions Schedule, Productivity & Coordination Coordinate daily and weekly electrical work plans with Construction Managers and Project Managers Track electrical progress, manpower levels, and productivity across multiple projects Identify schedule risks, manpower gaps, and material constraints and escalate as needed Coordinate electrical work with civil, structural, roofing, and other trades Quality Control & Inspections Ensure electrical installations meet Pfister Energy quality standards and project QA/QC requirements Support internal inspections, third-party inspections, AHJ, and utility inspections Assist with punch list completion, electrical closeout, and turnover documentation Support commissioning, testing, energization, and project closeout activities Communication & Reporting Serve as the primary electrical field point of contact for Construction Managers Provide regular updates to the Director of Construction regarding manpower, progress, risks, and needs Document and communicate field issues, lessons learned, and improvement opportunities Support continuous improvement of Pfister Energy's electrical means and methods Required Qualifications: Minimum of 5-7 years of electrical construction experience Minimum of 3 years in a leadership role (Electrical Superintendent, General Foreman, or equivalent) Commercial solar PV experience (rooftop and ground mount) Strong working knowledge of NEC, OSHA, and solar electrical systems Proven experience leading non-union, self-perform electrical crews Ability to manage multiple active projects simultaneously Proficiency reading and interpreting electrical drawings and specifications Ability to work outdoors in varying weather conditions Ability to access rooftops, ladders, and uneven terrain Ability to lift up to 50 lbs as required Ability to travel regularly within Maryland and occasionally to neighboring states Preferred Qualifications: Journeyman or Master Electrician license NABCEP certification Experience with utility interconnections and commissioning support Familiarity with Procore or similar construction management software Skills & Competencies: Strong leadership, accountability, and team development skills High level of field problem-solving and decision-making ability Clear, professional communication with field and management teams Strong focus on safety, quality, and productivity Ability to perform effectively in a fast-paced, schedule-driven environment Compensation & Benefits: Competitive Salary Performance-based Bonuses Per diem and lodging for out-of-area work Company vehicle or vehicle allowance with fuel card Matching 401(k) Health, Dental, and Vision Insurance Health Reimbursement Account Life, AD&D, Accident, Disability, and Critical Illness Insurance Paid Time Off and Paid Holidays Employee Referral Bonuses Stable year-round work with a growing EPC Applicants must be authorized to work in the United States without the need for current or future employment sponsorship. Company Description Pfister Energy is a nationally recognized renewable energy company helping businesses control rising energy costs through turnkey onsite energy solutions. Since 2005, we've developed, designed, financed, and installed more than 900 MW of clean energy systems for commercial and industrial clients. Our expertise includes solar, storage, microgrids, EV charging, O&M, and asset lifecycle services. Known for trusted expertise and efficient execution, we deliver future-ready solutions that strengthen resilience, reduce costs, and support long-term sustainability goals. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. Company Description Pfister Energy is a nationally recognized renewable energy company helping businesses control rising energy costs through turnkey onsite energy solutions. Since 2005, we've developed, designed, financed, and installed more than 900 MW of clean energy systems for commercial and industrial clients. Our expertise includes solar, storage, microgrids, EV charging, O&M, and asset lifecycle services. Known for trusted expertise and efficient execution, we deliver future-ready solutions that strengthen resilience, reduce costs, and support long-term sustainability goals. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law.
Senior Lead AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) 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 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).
09/12/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) 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 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).
The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven Engineering professional to lead and grow the team that builds the infrastructure powering AI development across the company. You will own the people leadership, hiring, and day-to-day execution of the AI Platform team, partnering closely with technical leadership to translate roadmap priorities into delivery while building a high-performing, high-trust engineering culture. The Team This is a unique opportunity to lead a team at the center of how MassMutual builds and operates the platform powering its AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. As the engineering director, you will partner closely with the AI engineering, product, and cloud engineering teams across the enterprise, and you will invest in your team's growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of people leadership that helps engineers do their best work. The Impact Own the people leadership of the AI Platform development team-hiring, onboarding, performance management, and career development-for a team of AI platform engineers. Drive execution against the AI platform roadmap-partner with key stakeholders to break strategic priorities into achievable sprints and milestones and hold the team accountable to delivery. Stay technical enough to lead-participate in architecture discussions and design reviews for systems like agent runtime infrastructure, tool/plugin registries, memory and context management layers, and agent observability pipelines, even when you're not writing production code day to day. Champion engineering excellence: set and uphold standards for code quality, reliability, on-call practices, and operational maturity across the platform. Manage up and out: provide clear, honest reporting on team progress, risks, and resourcing needs, and communicate technical trade-offs to senior stakeholders. Be the primary advocate for your team's wellbeing and growth-removing blockers, building a high-trust culture, and raising the team's technical craft through design reviews and documentation habits. The Minimum Qualifications 3+ years of experience as a people manager of software, platform, or infrastructure engineers, plus 5+ years of overall software engineering experience. Demonstrated track record of hiring, coaching, and retaining strong engineers, with experience leading teams through ambiguous, fast-moving priorities. Working knowledge of cloud-native architecture: Kubernetes, managed cloud services, networking, and multi-tenancy patterns across AWS, GCP, or Azure, sufficient to engage credibly in technical discussions. Proven ability to lead a team through complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and risk throughout. Exposure to AI/ML infrastructure: model serving, inference pipelines, agentic solution or LLM integration patterns. Experience setting and upholding engineering standards (code quality, on-call practices, operational excellence) across a team. Strong communication skills: able to translate between technical depth and business priorities for different audiences, with clear written documentation habits. Bachelors degree in a computer science, engineering or similar discipline. Must be able to work in the US without sponsorship now or in the future. The Ideal Qualifications Experience leading a team that built an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience. Familiarity with AI safety, model evaluation, and governance frameworks. Ability to lead with both people and technical credibility-influencing design decisions, driving alignment, and raising quality bar across the team. Open-source contributions to platform or ML infrastructure tooling. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. Advanced educational degree preferred. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
09/12/2026
Full time
The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven Engineering professional to lead and grow the team that builds the infrastructure powering AI development across the company. You will own the people leadership, hiring, and day-to-day execution of the AI Platform team, partnering closely with technical leadership to translate roadmap priorities into delivery while building a high-performing, high-trust engineering culture. The Team This is a unique opportunity to lead a team at the center of how MassMutual builds and operates the platform powering its AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. As the engineering director, you will partner closely with the AI engineering, product, and cloud engineering teams across the enterprise, and you will invest in your team's growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of people leadership that helps engineers do their best work. The Impact Own the people leadership of the AI Platform development team-hiring, onboarding, performance management, and career development-for a team of AI platform engineers. Drive execution against the AI platform roadmap-partner with key stakeholders to break strategic priorities into achievable sprints and milestones and hold the team accountable to delivery. Stay technical enough to lead-participate in architecture discussions and design reviews for systems like agent runtime infrastructure, tool/plugin registries, memory and context management layers, and agent observability pipelines, even when you're not writing production code day to day. Champion engineering excellence: set and uphold standards for code quality, reliability, on-call practices, and operational maturity across the platform. Manage up and out: provide clear, honest reporting on team progress, risks, and resourcing needs, and communicate technical trade-offs to senior stakeholders. Be the primary advocate for your team's wellbeing and growth-removing blockers, building a high-trust culture, and raising the team's technical craft through design reviews and documentation habits. The Minimum Qualifications 3+ years of experience as a people manager of software, platform, or infrastructure engineers, plus 5+ years of overall software engineering experience. Demonstrated track record of hiring, coaching, and retaining strong engineers, with experience leading teams through ambiguous, fast-moving priorities. Working knowledge of cloud-native architecture: Kubernetes, managed cloud services, networking, and multi-tenancy patterns across AWS, GCP, or Azure, sufficient to engage credibly in technical discussions. Proven ability to lead a team through complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and risk throughout. Exposure to AI/ML infrastructure: model serving, inference pipelines, agentic solution or LLM integration patterns. Experience setting and upholding engineering standards (code quality, on-call practices, operational excellence) across a team. Strong communication skills: able to translate between technical depth and business priorities for different audiences, with clear written documentation habits. Bachelors degree in a computer science, engineering or similar discipline. Must be able to work in the US without sponsorship now or in the future. The Ideal Qualifications Experience leading a team that built an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience. Familiarity with AI safety, model evaluation, and governance frameworks. Ability to lead with both people and technical credibility-influencing design decisions, driving alignment, and raising quality bar across the team. Open-source contributions to platform or ML infrastructure tooling. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. Advanced educational degree preferred. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/12/2026
Full time
Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven Engineering professional to lead and grow the team that builds the infrastructure powering AI development across the company. You will own the people leadership, hiring, and day-to-day execution of the AI Platform team, partnering closely with technical leadership to translate roadmap priorities into delivery while building a high-performing, high-trust engineering culture. The Team This is a unique opportunity to lead a team at the center of how MassMutual builds and operates the platform powering its AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. As the engineering director, you will partner closely with the AI engineering, product, and cloud engineering teams across the enterprise, and you will invest in your team's growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of people leadership that helps engineers do their best work. The Impact Own the people leadership of the AI Platform development team-hiring, onboarding, performance management, and career development-for a team of AI platform engineers. Drive execution against the AI platform roadmap-partner with key stakeholders to break strategic priorities into achievable sprints and milestones and hold the team accountable to delivery. Stay technical enough to lead-participate in architecture discussions and design reviews for systems like agent runtime infrastructure, tool/plugin registries, memory and context management layers, and agent observability pipelines, even when you're not writing production code day to day. Champion engineering excellence: set and uphold standards for code quality, reliability, on-call practices, and operational maturity across the platform. Manage up and out: provide clear, honest reporting on team progress, risks, and resourcing needs, and communicate technical trade-offs to senior stakeholders. Be the primary advocate for your team's wellbeing and growth-removing blockers, building a high-trust culture, and raising the team's technical craft through design reviews and documentation habits. The Minimum Qualifications 3+ years of experience as a people manager of software, platform, or infrastructure engineers, plus 5+ years of overall software engineering experience. Demonstrated track record of hiring, coaching, and retaining strong engineers, with experience leading teams through ambiguous, fast-moving priorities. Working knowledge of cloud-native architecture: Kubernetes, managed cloud services, networking, and multi-tenancy patterns across AWS, GCP, or Azure, sufficient to engage credibly in technical discussions. Proven ability to lead a team through complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and risk throughout. Exposure to AI/ML infrastructure: model serving, inference pipelines, agentic solution or LLM integration patterns. Experience setting and upholding engineering standards (code quality, on-call practices, operational excellence) across a team. Strong communication skills: able to translate between technical depth and business priorities for different audiences, with clear written documentation habits. Bachelors degree in a computer science, engineering or similar discipline. Must be able to work in the US without sponsorship now or in the future. The Ideal Qualifications Experience leading a team that built an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience. Familiarity with AI safety, model evaluation, and governance frameworks. Ability to lead with both people and technical credibility-influencing design decisions, driving alignment, and raising quality bar across the team. Open-source contributions to platform or ML infrastructure tooling. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. Advanced educational degree preferred. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
09/12/2026
Full time
The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven Engineering professional to lead and grow the team that builds the infrastructure powering AI development across the company. You will own the people leadership, hiring, and day-to-day execution of the AI Platform team, partnering closely with technical leadership to translate roadmap priorities into delivery while building a high-performing, high-trust engineering culture. The Team This is a unique opportunity to lead a team at the center of how MassMutual builds and operates the platform powering its AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. As the engineering director, you will partner closely with the AI engineering, product, and cloud engineering teams across the enterprise, and you will invest in your team's growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of people leadership that helps engineers do their best work. The Impact Own the people leadership of the AI Platform development team-hiring, onboarding, performance management, and career development-for a team of AI platform engineers. Drive execution against the AI platform roadmap-partner with key stakeholders to break strategic priorities into achievable sprints and milestones and hold the team accountable to delivery. Stay technical enough to lead-participate in architecture discussions and design reviews for systems like agent runtime infrastructure, tool/plugin registries, memory and context management layers, and agent observability pipelines, even when you're not writing production code day to day. Champion engineering excellence: set and uphold standards for code quality, reliability, on-call practices, and operational maturity across the platform. Manage up and out: provide clear, honest reporting on team progress, risks, and resourcing needs, and communicate technical trade-offs to senior stakeholders. Be the primary advocate for your team's wellbeing and growth-removing blockers, building a high-trust culture, and raising the team's technical craft through design reviews and documentation habits. The Minimum Qualifications 3+ years of experience as a people manager of software, platform, or infrastructure engineers, plus 5+ years of overall software engineering experience. Demonstrated track record of hiring, coaching, and retaining strong engineers, with experience leading teams through ambiguous, fast-moving priorities. Working knowledge of cloud-native architecture: Kubernetes, managed cloud services, networking, and multi-tenancy patterns across AWS, GCP, or Azure, sufficient to engage credibly in technical discussions. Proven ability to lead a team through complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and risk throughout. Exposure to AI/ML infrastructure: model serving, inference pipelines, agentic solution or LLM integration patterns. Experience setting and upholding engineering standards (code quality, on-call practices, operational excellence) across a team. Strong communication skills: able to translate between technical depth and business priorities for different audiences, with clear written documentation habits. Bachelors degree in a computer science, engineering or similar discipline. Must be able to work in the US without sponsorship now or in the future. The Ideal Qualifications Experience leading a team that built an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience. Familiarity with AI safety, model evaluation, and governance frameworks. Ability to lead with both people and technical credibility-influencing design decisions, driving alignment, and raising quality bar across the team. Open-source contributions to platform or ML infrastructure tooling. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. Advanced educational degree preferred. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
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).
09/12/2026
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 (FM Hosting, LLM Inference) 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. 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).
09/12/2026
Full time
Senior Lead AI Engineer (FM Hosting, LLM Inference) 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. 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,(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 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. 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).
09/12/2026
Full time
Senior 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 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. 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).
Job Title: Facilities Technician Location: Atlanta, GA 30308, United States Job ID: P1 1 Job Description: Planet Fitness prides itself on creating a unique environment where anyone - and we mean anyone - can be comfortable. A diverse, Judgement Free Zone where a lasting, active lifestyle can be built. This product is a tool, a means to an end; not a brand name or a mold-maker, but a tool that can be used by anyone. As we evolve and educate ourselves, we will seek to perfect this safe, energetic environment, where everyone feels accepted and respected. Reporting to the Facilities Manager, the Facilities Technician will be responsible for performing skilled maintenance and repair work across various trades, including fitness equipment, electrical systems, plumbing, HVAC, painting, and carpentry. This role is essential to ensuring the efficient operation of club facilities. The ideal candidate will have a minimum of 3 years of maintenance experience. While familiarity with fitness equipment maintenance (both strength and cardio) is preferred, it is not required. This position requires a highly collaborative team player who can contribute strategically to the team's success. As a Facilities Technician, you will play a key role in the daily operations of the company, working closely with the Facilities Coordinator, Club Operations, and other cross-functional teams to maintain and improve facility functionality. Essential Duties and Responsibilities Perform routine maintenance, inspections, and repairs on fitness equipment (both strength and cardio), plumbing fixtures, HVAC systems, and electrical systems. Manage building automation systems, including card access control, lighting controls, and electronic tracking systems. Conduct preventive maintenance and emergency repairs on facility infrastructure, including drywall repair, painting, carpentry, and general upkeep. Troubleshoot and address issues related to water leaks, electrical faults, and malfunctioning equipment or assets. Oversee the installation and maintenance of plumbing fixtures and other equipment. Ensure all repairs and maintenance work meet safety regulations and company standards. Provide oversight and management of external vendors and contractors to ensure quality work and adherence to schedules. On call for after-hours, weekend, and emergency response as needed to ensure uninterrupted facility operations. This position requires successful completion of background check after acceptance of position in accordance with local, state and federal law. Qualifications/Requirements Experience and Education Minimum of 3 years of experience in facility maintenance or a related field, preferably in a commercial or multi-site setting. High school diploma or GED equivalent is required. Must possess a valid and current driver's license and pass driver's license verification. Technical Skills: Proficiency in various trades, including electrical, plumbing, HVAC, carpentry, and general maintenance work. Familiarity with fitness equipment maintenance (strength and cardio) is a plus. Competency with ticketing systems, such as CMMS (Computerized Maintenance Management Systems). Competency in the use of hand and power tools for repairs and maintenance. Basic computer skills, with the ability to learn and utilize new software as needed. Working knowledge of Microsoft Office is a plus. Core Competencies: Collaboration: A team-oriented mindset with strong communication skills for working with cross-functional teams and external vendors. Problem Solving: Ability to troubleshoot and resolve technical issues effectively and efficiently. Attention to Detail: Meticulous approach to maintenance work, ensuring tasks are completed thoroughly and accurately. Adaptability: Capacity to handle diverse tasks and adjust to changing priorities in a fast-paced, deadline-driven environment. Customer Service: Strong focus on delivering high-quality service to internal and external stakeholders. Physical requirements: Must be 18 years of age or older. Ability to stand, walk, bend, stretch, push, pull, and maneuver for extended periods to service and maintain machinery. Must be able to lift and carry up to 75 pounds. Capability to visually inspect machines and perform hands-on repairs or maintenance as needed. Ability to climb ladders Travel to and from locations required to maintain and support facilities across multiple sites. About Flynn Fitness Group LLC As the most innovative health club brand in the United States, Planet Fitness is known for a lot of things - our absurdly low prices, our Lunk Alarm , and most of all perhaps, for our Judgement Free Zone philosophy, which means members can relax, get in shape, and have fun without being subjected to the hard-core, look-at-me attitude that exists in too many gyms. Planet Fitness is a franchise of fitness centers. The particular Planet Fitness health clubs to which this position supports are independently owned and operated by Flynn Fitness Group. As an independent franchise we have built our company by staying true to our core values. Those values include: Customer Centric Mindset, Gratitude, Integrity, Perseverance, Loyalty and Family. Flynn Fitness mission statement : To improve people's lives by delivering a consistent, affordable, health & wellness experience in a judgement free environment. This company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics PIe28da3c1c4da-6304
09/12/2026
Full time
Job Title: Facilities Technician Location: Atlanta, GA 30308, United States Job ID: P1 1 Job Description: Planet Fitness prides itself on creating a unique environment where anyone - and we mean anyone - can be comfortable. A diverse, Judgement Free Zone where a lasting, active lifestyle can be built. This product is a tool, a means to an end; not a brand name or a mold-maker, but a tool that can be used by anyone. As we evolve and educate ourselves, we will seek to perfect this safe, energetic environment, where everyone feels accepted and respected. Reporting to the Facilities Manager, the Facilities Technician will be responsible for performing skilled maintenance and repair work across various trades, including fitness equipment, electrical systems, plumbing, HVAC, painting, and carpentry. This role is essential to ensuring the efficient operation of club facilities. The ideal candidate will have a minimum of 3 years of maintenance experience. While familiarity with fitness equipment maintenance (both strength and cardio) is preferred, it is not required. This position requires a highly collaborative team player who can contribute strategically to the team's success. As a Facilities Technician, you will play a key role in the daily operations of the company, working closely with the Facilities Coordinator, Club Operations, and other cross-functional teams to maintain and improve facility functionality. Essential Duties and Responsibilities Perform routine maintenance, inspections, and repairs on fitness equipment (both strength and cardio), plumbing fixtures, HVAC systems, and electrical systems. Manage building automation systems, including card access control, lighting controls, and electronic tracking systems. Conduct preventive maintenance and emergency repairs on facility infrastructure, including drywall repair, painting, carpentry, and general upkeep. Troubleshoot and address issues related to water leaks, electrical faults, and malfunctioning equipment or assets. Oversee the installation and maintenance of plumbing fixtures and other equipment. Ensure all repairs and maintenance work meet safety regulations and company standards. Provide oversight and management of external vendors and contractors to ensure quality work and adherence to schedules. On call for after-hours, weekend, and emergency response as needed to ensure uninterrupted facility operations. This position requires successful completion of background check after acceptance of position in accordance with local, state and federal law. Qualifications/Requirements Experience and Education Minimum of 3 years of experience in facility maintenance or a related field, preferably in a commercial or multi-site setting. High school diploma or GED equivalent is required. Must possess a valid and current driver's license and pass driver's license verification. Technical Skills: Proficiency in various trades, including electrical, plumbing, HVAC, carpentry, and general maintenance work. Familiarity with fitness equipment maintenance (strength and cardio) is a plus. Competency with ticketing systems, such as CMMS (Computerized Maintenance Management Systems). Competency in the use of hand and power tools for repairs and maintenance. Basic computer skills, with the ability to learn and utilize new software as needed. Working knowledge of Microsoft Office is a plus. Core Competencies: Collaboration: A team-oriented mindset with strong communication skills for working with cross-functional teams and external vendors. Problem Solving: Ability to troubleshoot and resolve technical issues effectively and efficiently. Attention to Detail: Meticulous approach to maintenance work, ensuring tasks are completed thoroughly and accurately. Adaptability: Capacity to handle diverse tasks and adjust to changing priorities in a fast-paced, deadline-driven environment. Customer Service: Strong focus on delivering high-quality service to internal and external stakeholders. Physical requirements: Must be 18 years of age or older. Ability to stand, walk, bend, stretch, push, pull, and maneuver for extended periods to service and maintain machinery. Must be able to lift and carry up to 75 pounds. Capability to visually inspect machines and perform hands-on repairs or maintenance as needed. Ability to climb ladders Travel to and from locations required to maintain and support facilities across multiple sites. About Flynn Fitness Group LLC As the most innovative health club brand in the United States, Planet Fitness is known for a lot of things - our absurdly low prices, our Lunk Alarm , and most of all perhaps, for our Judgement Free Zone philosophy, which means members can relax, get in shape, and have fun without being subjected to the hard-core, look-at-me attitude that exists in too many gyms. Planet Fitness is a franchise of fitness centers. The particular Planet Fitness health clubs to which this position supports are independently owned and operated by Flynn Fitness Group. As an independent franchise we have built our company by staying true to our core values. Those values include: Customer Centric Mindset, Gratitude, Integrity, Perseverance, Loyalty and Family. Flynn Fitness mission statement : To improve people's lives by delivering a consistent, affordable, health & wellness experience in a judgement free environment. This company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics PIe28da3c1c4da-6304
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).
09/12/2026
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).
Lead AI Engineer (Vision model customization, VLM) 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).
09/12/2026
Full time
Lead AI Engineer (Vision model customization, VLM) 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).
B. Braun US Pharmaceutical Manufacturing LLC
Irvine, California
B. Braun Medical, Inc. Company: B. Braun US Pharmaceutical Manufacturing LLC Job Posting Location: Irvine, California, United States Functional Area: Quality Working Model: Onsite Days of Work: Friday, Thursday, Wednesday, Tuesday, Monday Shift: 5X8 Relocation Available: No Requisition ID: 12959 B. Braun Medical Inc., a leader in infusion therapy and pain management, develops, manufactures, and markets innovative medical products and services to the healthcare industry. Other key product areas include nutrition, pharmacy admixture and compounding, ostomy and wound care, and dialysis. The company is committed to eliminating preventable treatment errors and enhancing patient, clinician and environmental safety. B. Braun Medical is headquartered in Bethlehem, Pa., and is part of the B. Braun Group of Companies in the U.S., which includes B. Braun Interventional Systems, Aesculap and CAPS . Globally, the B. Braun Group of Companies employs more than 64,000 employees in 64 countries. Guided by its Sharing Expertise philosophy, B. Braun continuously exchanges knowledge with customers, partners and clinicians to address the critical issues of improving care and lowering costs. To learn more about B. Braun Medical, visit Job Summary Join B. Braun as Manager III, Quality Control and lead a Chemistry Laboratory team responsible for ensuring product quality, regulatory compliance, and operational excellence. In this role, you will oversee laboratory operations, drive continuous improvement initiatives, and lead a team of chemists and quality professionals in a GMP-regulated environment to support the delivery of safe, high-quality healthcare products. Key Responsibilities Lead and develop a Quality Control Chemistry Laboratory team, overseeing daily operations, testing activities, and employee performance in a GMP-regulated manufacturing environment. Ensure compliance with FDA regulations ( 21 CFR Parts 210, 211, and 820 ), Good Manufacturing Practices (GMP), Quality Management Systems (QMS), and other applicable regulatory requirements. Oversee laboratory testing, product inspections, investigations, documentation, and quality processes to ensure products consistently meet company, customer, and global regulatory standards. Develop, implement, and continuously improve quality control programs, testing methods, and laboratory processes to enhance efficiency, quality, and compliance. Drive root cause investigations, corrective and preventive actions (CAPA), and continuous improvement initiatives to support operational excellence. Collaborate with cross-functional teams, including Manufacturing, Quality Assurance, Regulatory Affairs, and Technical Services, to resolve quality issues and support business objectives. Monitor key performance metrics, manage departmental priorities and budgets, and ensure achievement of quality, productivity, and compliance goals. Provide leadership, coaching, and professional development opportunities to staff while fostering a culture of quality, accountability, and continuous improvement. Qualifications Bachelor's degree in chemistry, Chemical Engineering, Biochemistry , or a related scientific field required. Extensive experience leading Quality Control laboratories within a pharmaceutical, medical device, or regulated manufacturing environment. Strong knowledge of LabWare LIMS , GMP regulations, and quality systems. Familiarity with testing standards and methods from the United States Pharmacopeia (USP), Health Canada, and the European Medicines Agency (EMA) . Proven leadership experience managing large teams and driving performance across multiple shifts. Master's degree preferred. 10+ years of quality control, quality assurance, or related experience. Additional Information Occasional business travel required. Valid driver's license and passport preferred. Work environment includes office, manufacturing, laboratory, and warehouse settings. Salary Range: $139,000 - $173,000 The targeted range for this role takes into account a range of factors that are considered when making compensation and hiring decisions; included but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Compensation decisions are dependent on the facts and circumstances of each case. The range provided is a reasonable estimate. B. Braun offers an excellent benefits package, which includes healthcare, a 401(k) plan, and tuition reimbursement. To learn more about B. Braun and our safety healthcare products or view a listing of our employment opportunities, please visit us on the internet at . Through its "Sharing Expertise " initiative, B. Braun promotes best practices for continuous improvement of healthcare products and services. We are an equal opportunity employer. We evaluate applications without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected characteristic. Know Your Rights: Workplace Discrimination is Illegal, click here . All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status. Compensation details: 00 Yearly Salary PIc4bfbf7d60f5-4437
09/12/2026
Full time
B. Braun Medical, Inc. Company: B. Braun US Pharmaceutical Manufacturing LLC Job Posting Location: Irvine, California, United States Functional Area: Quality Working Model: Onsite Days of Work: Friday, Thursday, Wednesday, Tuesday, Monday Shift: 5X8 Relocation Available: No Requisition ID: 12959 B. Braun Medical Inc., a leader in infusion therapy and pain management, develops, manufactures, and markets innovative medical products and services to the healthcare industry. Other key product areas include nutrition, pharmacy admixture and compounding, ostomy and wound care, and dialysis. The company is committed to eliminating preventable treatment errors and enhancing patient, clinician and environmental safety. B. Braun Medical is headquartered in Bethlehem, Pa., and is part of the B. Braun Group of Companies in the U.S., which includes B. Braun Interventional Systems, Aesculap and CAPS . Globally, the B. Braun Group of Companies employs more than 64,000 employees in 64 countries. Guided by its Sharing Expertise philosophy, B. Braun continuously exchanges knowledge with customers, partners and clinicians to address the critical issues of improving care and lowering costs. To learn more about B. Braun Medical, visit Job Summary Join B. Braun as Manager III, Quality Control and lead a Chemistry Laboratory team responsible for ensuring product quality, regulatory compliance, and operational excellence. In this role, you will oversee laboratory operations, drive continuous improvement initiatives, and lead a team of chemists and quality professionals in a GMP-regulated environment to support the delivery of safe, high-quality healthcare products. Key Responsibilities Lead and develop a Quality Control Chemistry Laboratory team, overseeing daily operations, testing activities, and employee performance in a GMP-regulated manufacturing environment. Ensure compliance with FDA regulations ( 21 CFR Parts 210, 211, and 820 ), Good Manufacturing Practices (GMP), Quality Management Systems (QMS), and other applicable regulatory requirements. Oversee laboratory testing, product inspections, investigations, documentation, and quality processes to ensure products consistently meet company, customer, and global regulatory standards. Develop, implement, and continuously improve quality control programs, testing methods, and laboratory processes to enhance efficiency, quality, and compliance. Drive root cause investigations, corrective and preventive actions (CAPA), and continuous improvement initiatives to support operational excellence. Collaborate with cross-functional teams, including Manufacturing, Quality Assurance, Regulatory Affairs, and Technical Services, to resolve quality issues and support business objectives. Monitor key performance metrics, manage departmental priorities and budgets, and ensure achievement of quality, productivity, and compliance goals. Provide leadership, coaching, and professional development opportunities to staff while fostering a culture of quality, accountability, and continuous improvement. Qualifications Bachelor's degree in chemistry, Chemical Engineering, Biochemistry , or a related scientific field required. Extensive experience leading Quality Control laboratories within a pharmaceutical, medical device, or regulated manufacturing environment. Strong knowledge of LabWare LIMS , GMP regulations, and quality systems. Familiarity with testing standards and methods from the United States Pharmacopeia (USP), Health Canada, and the European Medicines Agency (EMA) . Proven leadership experience managing large teams and driving performance across multiple shifts. Master's degree preferred. 10+ years of quality control, quality assurance, or related experience. Additional Information Occasional business travel required. Valid driver's license and passport preferred. Work environment includes office, manufacturing, laboratory, and warehouse settings. Salary Range: $139,000 - $173,000 The targeted range for this role takes into account a range of factors that are considered when making compensation and hiring decisions; included but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Compensation decisions are dependent on the facts and circumstances of each case. The range provided is a reasonable estimate. B. Braun offers an excellent benefits package, which includes healthcare, a 401(k) plan, and tuition reimbursement. To learn more about B. Braun and our safety healthcare products or view a listing of our employment opportunities, please visit us on the internet at . Through its "Sharing Expertise " initiative, B. Braun promotes best practices for continuous improvement of healthcare products and services. We are an equal opportunity employer. We evaluate applications without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected characteristic. Know Your Rights: Workplace Discrimination is Illegal, click here . All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status. Compensation details: 00 Yearly Salary PIc4bfbf7d60f5-4437
B. Braun US Pharmaceutical Manufacturing LLC
Irvine, California
B. Braun Medical, Inc. Company: B. Braun US Pharmaceutical Manufacturing LLC Job Posting Location: Irvine, California, United States Functional Area: Quality Working Model: Onsite Days of Work: Wednesday, Friday, Saturday, Thursday Shift: 3/4 X 12 Relocation Available: No Requisition ID: 13718 B. Braun Medical Inc., a leader in infusion therapy and pain management, develops, manufactures, and markets innovative medical products and services to the healthcare industry. Other key product areas include nutrition, pharmacy admixture and compounding, ostomy and wound care, and dialysis. The company is committed to eliminating preventable treatment errors and enhancing patient, clinician and environmental safety. B. Braun Medical is headquartered in Bethlehem, Pa., and is part of the B. Braun Group of Companies in the U.S., which includes B. Braun Interventional Systems, Aesculap and CAPS . Globally, the B. Braun Group of Companies employs more than 64,000 employees in 64 countries. Guided by its Sharing Expertise philosophy, B. Braun continuously exchanges knowledge with customers, partners and clinicians to address the critical issues of improving care and lowering costs. To learn more about B. Braun Medical, visit Position Summary The QC Microbiology Associate II performs microbiological testing and laboratory support activities to ensure compliance with current Good Manufacturing Practices (cGMP), company procedures, and quality standards. This position is responsible for the receipt, preparation, testing, documentation, and review of microbiological samples and results. The Associate II supports laboratory operations through equipment maintenance activities, data integrity practices, and adherence to established quality systems. The role requires a strong attention to detail, the ability to work in a regulated laboratory environment, and a commitment to maintaining safe and efficient laboratory operations. This position reports to the QC Microbiology Supervisor/Manager and is based onsite. In This Role, You Will Have the Chance To: Perform microbiological testing on finished products, stability samples, environmental monitoring samples, and other laboratory samples in accordance with approved procedures and test methods. Receive, prepare, process, and document samples while maintaining data integrity and compliance with cGMP requirements. Record, review, and compile laboratory results, reports, and supporting documentation to ensure accuracy, completeness, and compliance with established specifications. Support laboratory equipment calibration, qualification, preventive maintenance, troubleshooting, and routine operational activities. Verify test results and ensure compliance with approved procedures, methods, specifications, and quality standards. Assist with the development, revision, and continuous improvement of laboratory procedures, test methods, and documentation practices. Maintain laboratory cleanliness, organization, and compliance with all applicable safety, quality, and regulatory requirements. Essential Requirements High School Diploma or GED required. Minimum one (1) year of laboratory, microbiology, quality control, or related scientific experience. Strong attention to detail with excellent documentation and recordkeeping skills. Ability to follow written procedures and work effectively within a regulated environment. Proficient in data recording, report preparation, and review of laboratory documentation. Ability to work independently and collaboratively within a team environment. Flexibility to work non-standard hours as business needs require. Preferred Experience Includes Bachelor's degree in Microbiology, Biology, Chemistry, or a related scientific discipline. Experience working in a pharmaceutical, biotechnology, medical device, or other FDA-regulated environment. Familiarity with cGMP regulations, laboratory quality systems, and microbiological testing methods. Experience supporting laboratory investigations, equipment qualification, or continuous improvement initiatives. Physical & Work Environment Laboratory-based role requiring frequent standing, walking, bending, and use of laboratory equipment. Ability to lift and carry up to 20 pounds occasionally. Moderate noise levels typical of a laboratory and manufacturing support environment. Required use of appropriate personal protective equipment (PPE) and adherence to all safety procedures. May involve exposure to biological materials, laboratory reagents, and controlled environmental conditions consistent with microbiology laboratory operations. Pay Range- $25.69 - $33.17 The targeted range for this role takes into account a range of factors that are considered when making compensation and hiring decisions; included but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Compensation decisions are dependent on the facts and circumstances of each case. The range provided is a reasonable estimate. B. Braun offers an excellent benefits package, which includes healthcare, a 401(k) plan, and tuition reimbursement. To learn more about B. Braun and our safety healthcare products or view a listing of our employment opportunities, please visit us on the internet at . Through its "Sharing Expertise " initiative, B. Braun promotes best practices for continuous improvement of healthcare products and services. We are an equal opportunity employer. We evaluate applications without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected characteristic. Know Your Rights: Workplace Discrimination is Illegal, click here . All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status. Compensation details: 25.69-33.17 Hourly Wage PI3aed2a5-
09/12/2026
Full time
B. Braun Medical, Inc. Company: B. Braun US Pharmaceutical Manufacturing LLC Job Posting Location: Irvine, California, United States Functional Area: Quality Working Model: Onsite Days of Work: Wednesday, Friday, Saturday, Thursday Shift: 3/4 X 12 Relocation Available: No Requisition ID: 13718 B. Braun Medical Inc., a leader in infusion therapy and pain management, develops, manufactures, and markets innovative medical products and services to the healthcare industry. Other key product areas include nutrition, pharmacy admixture and compounding, ostomy and wound care, and dialysis. The company is committed to eliminating preventable treatment errors and enhancing patient, clinician and environmental safety. B. Braun Medical is headquartered in Bethlehem, Pa., and is part of the B. Braun Group of Companies in the U.S., which includes B. Braun Interventional Systems, Aesculap and CAPS . Globally, the B. Braun Group of Companies employs more than 64,000 employees in 64 countries. Guided by its Sharing Expertise philosophy, B. Braun continuously exchanges knowledge with customers, partners and clinicians to address the critical issues of improving care and lowering costs. To learn more about B. Braun Medical, visit Position Summary The QC Microbiology Associate II performs microbiological testing and laboratory support activities to ensure compliance with current Good Manufacturing Practices (cGMP), company procedures, and quality standards. This position is responsible for the receipt, preparation, testing, documentation, and review of microbiological samples and results. The Associate II supports laboratory operations through equipment maintenance activities, data integrity practices, and adherence to established quality systems. The role requires a strong attention to detail, the ability to work in a regulated laboratory environment, and a commitment to maintaining safe and efficient laboratory operations. This position reports to the QC Microbiology Supervisor/Manager and is based onsite. In This Role, You Will Have the Chance To: Perform microbiological testing on finished products, stability samples, environmental monitoring samples, and other laboratory samples in accordance with approved procedures and test methods. Receive, prepare, process, and document samples while maintaining data integrity and compliance with cGMP requirements. Record, review, and compile laboratory results, reports, and supporting documentation to ensure accuracy, completeness, and compliance with established specifications. Support laboratory equipment calibration, qualification, preventive maintenance, troubleshooting, and routine operational activities. Verify test results and ensure compliance with approved procedures, methods, specifications, and quality standards. Assist with the development, revision, and continuous improvement of laboratory procedures, test methods, and documentation practices. Maintain laboratory cleanliness, organization, and compliance with all applicable safety, quality, and regulatory requirements. Essential Requirements High School Diploma or GED required. Minimum one (1) year of laboratory, microbiology, quality control, or related scientific experience. Strong attention to detail with excellent documentation and recordkeeping skills. Ability to follow written procedures and work effectively within a regulated environment. Proficient in data recording, report preparation, and review of laboratory documentation. Ability to work independently and collaboratively within a team environment. Flexibility to work non-standard hours as business needs require. Preferred Experience Includes Bachelor's degree in Microbiology, Biology, Chemistry, or a related scientific discipline. Experience working in a pharmaceutical, biotechnology, medical device, or other FDA-regulated environment. Familiarity with cGMP regulations, laboratory quality systems, and microbiological testing methods. Experience supporting laboratory investigations, equipment qualification, or continuous improvement initiatives. Physical & Work Environment Laboratory-based role requiring frequent standing, walking, bending, and use of laboratory equipment. Ability to lift and carry up to 20 pounds occasionally. Moderate noise levels typical of a laboratory and manufacturing support environment. Required use of appropriate personal protective equipment (PPE) and adherence to all safety procedures. May involve exposure to biological materials, laboratory reagents, and controlled environmental conditions consistent with microbiology laboratory operations. Pay Range- $25.69 - $33.17 The targeted range for this role takes into account a range of factors that are considered when making compensation and hiring decisions; included but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Compensation decisions are dependent on the facts and circumstances of each case. The range provided is a reasonable estimate. B. Braun offers an excellent benefits package, which includes healthcare, a 401(k) plan, and tuition reimbursement. To learn more about B. Braun and our safety healthcare products or view a listing of our employment opportunities, please visit us on the internet at . Through its "Sharing Expertise " initiative, B. Braun promotes best practices for continuous improvement of healthcare products and services. We are an equal opportunity employer. We evaluate applications without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected characteristic. Know Your Rights: Workplace Discrimination is Illegal, click here . All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status. Compensation details: 25.69-33.17 Hourly Wage PI3aed2a5-
Overview : The Talent Acquisition Specialist position supports recruitment activities for project and department positions on the east coast and overseas and collaborates in recruitment activities across the HR regional teams as assigned. The Specialist position is associated with the Olgoonik Anchorage, Alaska and Fairfax, Virginia corporate offices. Primary Responsibilities : Sources passive candidates through networking, cold calling, complex internet searches and research. Sources active candidates from on-line databases, contact lists, internal databases, and employee referrals. Engages with active and passive talent and connects them to current job opportunities, executing recruitment strategies that produce a diverse slate of candidates, evaluating applicants and submitting qualified candidates for hiring manager review. Markets open positions via the company's career page, job boards and social media platforms and networking databases as needed to fill vacancies. Develops extensive pipeline candidate pools to fill current and potential needs. Responds to candidate inquiries and communicates with candidates/new hires (phone and email) throughout recruitment and employment offer processes. Develops job descriptions with FLSA analysis and maintains company job descriptions in collaboration with managers and HRBPs, and in line with HR procedures. Collaborates with HRBPs to ensure the recruiting function is compliant with all applicable regulations: AAP, OFCCP, EEO, etc. Collaborates with HR team members in execution of talent acquisition strategies, and necessary backup for other HR staff members and to provide optimal HR support to internal and external customers. Supports the HRBP/Supervisor in the organization of teambuilding events for the Fairfax office as assigned, such as holiday celebrations, quarterly meetings, and annual picnic. Supervisory Responsibilities: N/A Education and/or Experience : Bachelor's degree in human resources management or a related field, or equivalent education, training and experience. 3 years of recruiting experience. 1 year of experience sourcing/recruiting cleared openings (Secret, Top Secret, TS/SCI) is strongly preferred. Experience recruiting personnel in technology or security fields is preferred, i.e. recruitment of Security Technicians, Security Application Engineers, Cyber-Security positions, PSIM Integrators, TSCM Inspectors, TEMPEST Certified technicians and other positions within the electronic security industry. Knowledge, Skills and Abilities : Excellent verbal and written communication skills, with the ability to pick up the phone and make calls - cold, warm, and hot, developing and maintaining long term candidate relationships. Must be well-versed in social media recruitment methods, with the ability to utilize various social platforms including LinkedIn. Ability to establish and maintain effective relationships with other management staff, employees, and the general public. Ability to present facts and recommendations effectively in oral and written form. Must be proficient with Microsoft Suite of products including, Word, Excel, Access and E-mail business software. Must have strong analytical and problem-solving skills, attention to detail, organizational skills, and an ability to manage multiple complex projects at one time. Must be able to work with a sense of "controlled urgency". Certificates, Licenses, Registrations : None Security Clearance: N/A Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to be able to occasionally stand; walk; sit; use hands and/or fingers to handle, or feel objects, tools or controls; operate office equipment, reach with hands and arms; climb stairs; balance; stoop; kneel; talk or hear; taste or smell. Work Environment: General office environment. Some travel both domestically and internationally required based on business demands. PI2daaf-2315
09/12/2026
Full time
Overview : The Talent Acquisition Specialist position supports recruitment activities for project and department positions on the east coast and overseas and collaborates in recruitment activities across the HR regional teams as assigned. The Specialist position is associated with the Olgoonik Anchorage, Alaska and Fairfax, Virginia corporate offices. Primary Responsibilities : Sources passive candidates through networking, cold calling, complex internet searches and research. Sources active candidates from on-line databases, contact lists, internal databases, and employee referrals. Engages with active and passive talent and connects them to current job opportunities, executing recruitment strategies that produce a diverse slate of candidates, evaluating applicants and submitting qualified candidates for hiring manager review. Markets open positions via the company's career page, job boards and social media platforms and networking databases as needed to fill vacancies. Develops extensive pipeline candidate pools to fill current and potential needs. Responds to candidate inquiries and communicates with candidates/new hires (phone and email) throughout recruitment and employment offer processes. Develops job descriptions with FLSA analysis and maintains company job descriptions in collaboration with managers and HRBPs, and in line with HR procedures. Collaborates with HRBPs to ensure the recruiting function is compliant with all applicable regulations: AAP, OFCCP, EEO, etc. Collaborates with HR team members in execution of talent acquisition strategies, and necessary backup for other HR staff members and to provide optimal HR support to internal and external customers. Supports the HRBP/Supervisor in the organization of teambuilding events for the Fairfax office as assigned, such as holiday celebrations, quarterly meetings, and annual picnic. Supervisory Responsibilities: N/A Education and/or Experience : Bachelor's degree in human resources management or a related field, or equivalent education, training and experience. 3 years of recruiting experience. 1 year of experience sourcing/recruiting cleared openings (Secret, Top Secret, TS/SCI) is strongly preferred. Experience recruiting personnel in technology or security fields is preferred, i.e. recruitment of Security Technicians, Security Application Engineers, Cyber-Security positions, PSIM Integrators, TSCM Inspectors, TEMPEST Certified technicians and other positions within the electronic security industry. Knowledge, Skills and Abilities : Excellent verbal and written communication skills, with the ability to pick up the phone and make calls - cold, warm, and hot, developing and maintaining long term candidate relationships. Must be well-versed in social media recruitment methods, with the ability to utilize various social platforms including LinkedIn. Ability to establish and maintain effective relationships with other management staff, employees, and the general public. Ability to present facts and recommendations effectively in oral and written form. Must be proficient with Microsoft Suite of products including, Word, Excel, Access and E-mail business software. Must have strong analytical and problem-solving skills, attention to detail, organizational skills, and an ability to manage multiple complex projects at one time. Must be able to work with a sense of "controlled urgency". Certificates, Licenses, Registrations : None Security Clearance: N/A Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to be able to occasionally stand; walk; sit; use hands and/or fingers to handle, or feel objects, tools or controls; operate office equipment, reach with hands and arms; climb stairs; balance; stoop; kneel; talk or hear; taste or smell. Work Environment: General office environment. Some travel both domestically and internationally required based on business demands. PI2daaf-2315
Senior Director, Applied Research Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate : You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research At least 5 years of people leadership experience Preferred Qualifications choose applicable set based on focus of role : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens Experience with common training optimization frameworks (deep speed, nemo) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Member of technical leadership for model deployment for a very large user behavior model 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 language models 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression 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 Numerous Publications studying tokenization, data quality, dataset curation, or labeling Leading contributions to one or more large open source corpus (1 Trillion + tokens) Core contributor 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. Sales Territory: $318,100 - $363,100 for Sr Director, Applied Research Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research New York, NY: $381,800 - $435,700 for Sr Director, Applied Research Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research San Francisco, CA: $381,800 - $435,700 for Sr Director . click apply for full job details
09/12/2026
Full time
Senior Director, Applied Research Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate : You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research At least 5 years of people leadership experience Preferred Qualifications choose applicable set based on focus of role : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens Experience with common training optimization frameworks (deep speed, nemo) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Member of technical leadership for model deployment for a very large user behavior model 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 language models 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression 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 Numerous Publications studying tokenization, data quality, dataset curation, or labeling Leading contributions to one or more large open source corpus (1 Trillion + tokens) Core contributor 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. Sales Territory: $318,100 - $363,100 for Sr Director, Applied Research Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research New York, NY: $381,800 - $435,700 for Sr Director, Applied Research Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research San Francisco, CA: $381,800 - $435,700 for Sr Director . click apply for full job details
Do you have passion and energy? Do you have experience working with doors and building materials (that's a plus)? Do you want to be part of a company culture of high performing, motivated people working together in a safe and healthy environment where leadership, personal development and teamwork is recognized, valued and rewarded? If yes, then we want to hear from you. This is truly an exciting time to be part of a family owned business since 1931 that offers job stability and a complete line of building products and services with competitive pricing, quality products, and reliable service. Direct Millwork is a growing production facility seeking a reliable and ambitious individual to work with a team in our door shop gathering all components to cut to precise sizes, machine to proper specifications and assemble all components to become the finished product. POSITION SUMMARY: Under the supervision of the Inside Sales Manager, this position manages the supply of materials in many concurrent construction projects in New Jersey, Connecticut, New York and Massachusetts. As the primary customer contact, professional communication is crucial to success. ESSENTIAL FUNCTIONS: Prepare submittals from contract documents Detail and revise projects in industry specific software Price, process and manage change orders Project manage including cost control, change orders, billings and performance (both financial and production) Meet the required delivery dates and deadlines for multiple projects at different stages of the construction schedule Responsible for the overall profitability of the project Prepare/present proposals to the G.C. or owner Read and decipher accounting reports Responsible for business development as well as maintaining existing customer base Estimate, negotiate and adjust the cost to help insure the awarding of the job Prevent and minimize mistakes which are crucial to customer satisfaction, efficiency, and profitability As a member of an Account Team, it is imperative the Estimator has the ability to work as a team and collaborate effectively Project manage and coordinate the job with other divisions Attend job site meetings, schedule installation, and assist others with their work when needed Other duties as requested, directed or assigned QUALIFICATIONS: Previous doors, millwork or building supplies experience is strongly desired Demonstrated experience in creating estimates and interpreting estimates Professional communication is crucial to success Good math skills Strong organizational skills and the ability to multi-task A quick learner - Ability to learn and assimilate technical knowledge related to projects (e.g., billings, buy out, budgets, problem solving, estimating, etc.) Prior business development experience is a plus Possess good sales ability BGS is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind: BGS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at BGS are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, family or parental status, sex, sexual orientation, gender identity, national origin, veteran or disability status or any other status protected by the laws or regulations in the locations where we operate. BGS will not tolerate discrimination or harassment based on any of these characteristics. BGS encourages applicants of all ages. Compensation details: 0 Yearly Salary PI2515a92b37a4-8635
09/12/2026
Full time
Do you have passion and energy? Do you have experience working with doors and building materials (that's a plus)? Do you want to be part of a company culture of high performing, motivated people working together in a safe and healthy environment where leadership, personal development and teamwork is recognized, valued and rewarded? If yes, then we want to hear from you. This is truly an exciting time to be part of a family owned business since 1931 that offers job stability and a complete line of building products and services with competitive pricing, quality products, and reliable service. Direct Millwork is a growing production facility seeking a reliable and ambitious individual to work with a team in our door shop gathering all components to cut to precise sizes, machine to proper specifications and assemble all components to become the finished product. POSITION SUMMARY: Under the supervision of the Inside Sales Manager, this position manages the supply of materials in many concurrent construction projects in New Jersey, Connecticut, New York and Massachusetts. As the primary customer contact, professional communication is crucial to success. ESSENTIAL FUNCTIONS: Prepare submittals from contract documents Detail and revise projects in industry specific software Price, process and manage change orders Project manage including cost control, change orders, billings and performance (both financial and production) Meet the required delivery dates and deadlines for multiple projects at different stages of the construction schedule Responsible for the overall profitability of the project Prepare/present proposals to the G.C. or owner Read and decipher accounting reports Responsible for business development as well as maintaining existing customer base Estimate, negotiate and adjust the cost to help insure the awarding of the job Prevent and minimize mistakes which are crucial to customer satisfaction, efficiency, and profitability As a member of an Account Team, it is imperative the Estimator has the ability to work as a team and collaborate effectively Project manage and coordinate the job with other divisions Attend job site meetings, schedule installation, and assist others with their work when needed Other duties as requested, directed or assigned QUALIFICATIONS: Previous doors, millwork or building supplies experience is strongly desired Demonstrated experience in creating estimates and interpreting estimates Professional communication is crucial to success Good math skills Strong organizational skills and the ability to multi-task A quick learner - Ability to learn and assimilate technical knowledge related to projects (e.g., billings, buy out, budgets, problem solving, estimating, etc.) Prior business development experience is a plus Possess good sales ability BGS is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind: BGS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at BGS are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, family or parental status, sex, sexual orientation, gender identity, national origin, veteran or disability status or any other status protected by the laws or regulations in the locations where we operate. BGS will not tolerate discrimination or harassment based on any of these characteristics. BGS encourages applicants of all ages. Compensation details: 0 Yearly Salary PI2515a92b37a4-8635
Description: Buyer Reports To: Supply Chain Manager FLSA Status: Exempt (Salary) Work Schedule: Monday-Friday, 7:00 a.m.-4:30 p.m. (Flexible) (Schedule varies based on business needs). Revision Date: March 1, 2026 Position Summary The Buyer performs professional procurement and supply-chain functions requiring discretion, independent judgment, and decision-making on matters of significance. This role sources and selects suppliers, negotiates pricing and delivery terms, evaluates supplier performance, manages inventory levels, and collaborates cross-functionally to support operational requirements. The Buyer ensures cost-effective purchasing strategies that support production, quality, and overall business goals. Essential Functions Source raw materials, manufactured components, services, and consumables to support production and business operations. Exercise discretion in supplier selection based on competitiveness, quality, alignment with company values, and long-term supply-chain considerations. Maintain appropriate safety stock levels to support production continuity and mitigate supply chain risk. Identify, evaluate, and qualify new suppliers in collaboration with Engineering, Quality, and Supply Chain. Monitor supplier performance related to quality, delivery, and responsiveness; address performance issues as needed. Conduct supplier site visits and audits to assess capabilities and compliance with company requirements. Collaborate with Engineering and Quality teams to ensure supplier compliance with drawings, specifications, and quality standards. Coordinate with vendors and logistics providers to optimize freight, shipping methods, and delivery schedules. Lead negotiations on pricing, delivery terms, and vendor agreements to achieve cost and performance goals. Create, manage, and follow up on purchase orders to ensure timely delivery in support of production schedules. Analyze inventory levels and procurement processes to identify opportunities for efficiency, cost reduction, and risk mitigation. Maintain accurate purchasing records, documentation, and reports within ERP systems. Maintain regular and punctual attendance and communicate planned or unplanned absences in accordance with company policy. Maintain a clean and organized work area to ensure safety protocols and standards are met. Perform special projects and other duties as assigned. Safety Responsibilities Follow all company safety policies and procedures. Comprehend, retain, and comply with established safety programs. Qualifications Required 3+ years of professional Buyer role within a manufacturing environment. Strong knowledge of procurement processes, supplier management, and price negotiation. Proficiency in ERP systems. Strong organizational skills with the ability to manage multiple priorities and complex data. Effective written, verbal, and interpersonal communication skills. Ability to work collaboratively in a diverse work environment with employees at all levels. Demonstrated initiative, problem-solving ability, and attention to detail. Positive attitude, strong work ethic, dependability, flexibility, and timeliness. Must be at least 18 years of age. Ability to communicate effectively in English, both verbally and in writing. Ability to move throughout office, warehouse, and production environments unassisted. Reliable attendance, punctuality, and timely communication of planned and unplanned absences in accordance with company policy. Preferred Prior experience working with manufacturing equipment. Basic computer hardware and software knowledge. Working Conditions & Physical Requirements Ability to work in both office and production environments. Frequent use of hands and fingers for keyboarding, data entry, and standard office equipment. Ability to remain in a stationary position for extended periods while performing computer-based work. Ability to stand, walk, bend, reach, and move throughout facilities as required. Ability to occasionally lift up to 20 pounds. Ability to manage multiple priorities in a fast-paced environment. Ability to communicate clearly and effectively, including listening and speaking. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of this position. Safety Equipment When entering designated production areas, employees are required to wear steel-toed safety shoes and approved eye protection with side shields. Hearing protection is required only in posted areas of the production environment, in accordance with safety signage and company policy. Benefit Disclaimer Condux provides a competitive benefits package featuring medical, dental, and vision coverage, 401(k) employer matching, short-term and long-term disability benefits, and an annual bonus opportunity. Employment Statement This job description is intended to describe the general nature and level of work being performed by employees assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications. Management reserves the right to modify, add, or assign other duties as business needs require. This document does not constitute a contract of employment. Acknowledgment Employee Name (Print): Employee Signature: Date: _ Requirements: Compensation details: 0 Yearly Salary PI34bcb9b5-
09/12/2026
Full time
Description: Buyer Reports To: Supply Chain Manager FLSA Status: Exempt (Salary) Work Schedule: Monday-Friday, 7:00 a.m.-4:30 p.m. (Flexible) (Schedule varies based on business needs). Revision Date: March 1, 2026 Position Summary The Buyer performs professional procurement and supply-chain functions requiring discretion, independent judgment, and decision-making on matters of significance. This role sources and selects suppliers, negotiates pricing and delivery terms, evaluates supplier performance, manages inventory levels, and collaborates cross-functionally to support operational requirements. The Buyer ensures cost-effective purchasing strategies that support production, quality, and overall business goals. Essential Functions Source raw materials, manufactured components, services, and consumables to support production and business operations. Exercise discretion in supplier selection based on competitiveness, quality, alignment with company values, and long-term supply-chain considerations. Maintain appropriate safety stock levels to support production continuity and mitigate supply chain risk. Identify, evaluate, and qualify new suppliers in collaboration with Engineering, Quality, and Supply Chain. Monitor supplier performance related to quality, delivery, and responsiveness; address performance issues as needed. Conduct supplier site visits and audits to assess capabilities and compliance with company requirements. Collaborate with Engineering and Quality teams to ensure supplier compliance with drawings, specifications, and quality standards. Coordinate with vendors and logistics providers to optimize freight, shipping methods, and delivery schedules. Lead negotiations on pricing, delivery terms, and vendor agreements to achieve cost and performance goals. Create, manage, and follow up on purchase orders to ensure timely delivery in support of production schedules. Analyze inventory levels and procurement processes to identify opportunities for efficiency, cost reduction, and risk mitigation. Maintain accurate purchasing records, documentation, and reports within ERP systems. Maintain regular and punctual attendance and communicate planned or unplanned absences in accordance with company policy. Maintain a clean and organized work area to ensure safety protocols and standards are met. Perform special projects and other duties as assigned. Safety Responsibilities Follow all company safety policies and procedures. Comprehend, retain, and comply with established safety programs. Qualifications Required 3+ years of professional Buyer role within a manufacturing environment. Strong knowledge of procurement processes, supplier management, and price negotiation. Proficiency in ERP systems. Strong organizational skills with the ability to manage multiple priorities and complex data. Effective written, verbal, and interpersonal communication skills. Ability to work collaboratively in a diverse work environment with employees at all levels. Demonstrated initiative, problem-solving ability, and attention to detail. Positive attitude, strong work ethic, dependability, flexibility, and timeliness. Must be at least 18 years of age. Ability to communicate effectively in English, both verbally and in writing. Ability to move throughout office, warehouse, and production environments unassisted. Reliable attendance, punctuality, and timely communication of planned and unplanned absences in accordance with company policy. Preferred Prior experience working with manufacturing equipment. Basic computer hardware and software knowledge. Working Conditions & Physical Requirements Ability to work in both office and production environments. Frequent use of hands and fingers for keyboarding, data entry, and standard office equipment. Ability to remain in a stationary position for extended periods while performing computer-based work. Ability to stand, walk, bend, reach, and move throughout facilities as required. Ability to occasionally lift up to 20 pounds. Ability to manage multiple priorities in a fast-paced environment. Ability to communicate clearly and effectively, including listening and speaking. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of this position. Safety Equipment When entering designated production areas, employees are required to wear steel-toed safety shoes and approved eye protection with side shields. Hearing protection is required only in posted areas of the production environment, in accordance with safety signage and company policy. Benefit Disclaimer Condux provides a competitive benefits package featuring medical, dental, and vision coverage, 401(k) employer matching, short-term and long-term disability benefits, and an annual bonus opportunity. Employment Statement This job description is intended to describe the general nature and level of work being performed by employees assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications. Management reserves the right to modify, add, or assign other duties as business needs require. This document does not constitute a contract of employment. Acknowledgment Employee Name (Print): Employee Signature: Date: _ Requirements: Compensation details: 0 Yearly Salary PI34bcb9b5-
