Summary GENERAL SUMMARY: Responsible for the establishment and maintenance of Bryan Healths data governance program and infrastructure. As the organizations data governance champion, collaborates with leaders and data stewards across Bryan Health to develop, implement, and execute the organizations data and AI governance strategies, policies, and procedures. As a critical part of Bryans Data Analytics Center of Excellence, recommends data governance policies to entity governance for review and approval, while working with IT and key business units to constantly improve data definitions, integrity, security, and reliability, ensuring high-quality inputs for analytics and AI models. PRINCIPAL JOB FUNCTIONS: 1. Commits to the mission, vision, beliefs and consistently demonstrates our core values. 2. Participates in or supports work stream planning process. 3. Effectively communicates with executive sponsors, project advocates, leaders, and data stewards to help them understand and apply policy and principles of data governance while ensuring that deliverables meet business requirements. 4. Develops and plays a hands-on role in operationalizing an organization-wide data governance strategy, framework and roadmap that aligns with the organizations overall data, analytics, AI, and data security strategy. 5. Defines and enforces data standards, data classification, and data protection guidelines to ensure consistent and reliable data across systems, processes, and business units. 6. Translates Data and AI governance policies and standards into actionable strategies and implementable solutions, ensuring practical application and demonstratable impact on data reliability. 7. Develops and implements policies and standards for managing data used in AI models to ensure quality, security, privacy, and compliance with relevant regulations. 8. Collaborates with business stakeholders, data owners and data stewards to establish data governance roles, responsibilities, and accountabilities within the organization. 9. Collaborates with data science and AI/ML teams to ensure the reliability of data used in AI training, validation, and deployment. 10. Aligns data governance policies with AI development lifecycle, ensuring proper data stewardship and governance throughout the AI project lifecycle. 11. Conducts assessments to identify data issues, gaps, and opportunities for improvement. 12. Provides guidance and training to business users and data stewards on data governance policies, procedures, and best practices. 13. Collaborates with Data Council, Advisory Teams, and other governance groups for program oversight and issue resolution. 14. Identifies and mitigates risks related to AI data, including bias, fairness, and privacy concerns, to support responsible AI practices. 15. Works closely with Data Analytics and IT to design and implement data governance tools, technologies, and platforms to provide data quality checks, data cataloging, and data lineage tracking. 16. Stays up to date with AI and data governance industry trends, emerging technologies, regulatory changes, and standards around the evolving legal, ethical, and technological standards related to AI and data governance, and proactively recommends improvements and enhancements to governance frameworks. 17. Ensures that data used in AI systems complies with data privacy laws and organizational policies and maintains auditability of AI data pipelines. 18. Engages and advises the Bryan Data Analytics Council on project prioritization and other agenda items as needed. 19. Develops effective collaborative relationships with stakeholders across the Bryan Health System. 20. Works with executive sponsors and project advocates to ensure products meet business requirements. 21. Collaborates with other teams and leaders to ensure resources and priorities align with Data Council guidance. 22. Establishes effective relationships with clients and provides leadership for all data governance at Bryan. 23. Maintains professional growth and development through seminars, workshops, and professional affiliations to keep abreast of latest the latest trends in field of expertise. Keeps abreast of industry news and trends. 24. Effectively facilitates and participates on multi-disciplinary teams; attends and participates in project meetings and activities. 25. Performs other related projects and duties as assigned. (Essential Job functions are marked with an asterisk ). REQUIRED KNOWLEDGE, SKILLS AND ABILITIES: 1. Expert knowledge in principals of data governance and data governance program design. 2. Highly proficient in data governance concepts and application (metadata management, data quality, stewardship, etc.). 3. Knowledge of AI and AI governance. 4. Knowledge of health care market and industry trends. 5. Knowledge of computer hardware equipment and software applications relevant to work functions. 6. Strong skills in problem solving and process improvement. 7. Excellent communication skills and ability to explain complex topics to non-technical audiences. 8. Strong ability in program and project management. 9. Ability to perform crucial conversations with desired outcomes. 10. Ability to communicate effectively both verbally and in writing. 11. Ability to establish and maintain effective working relationships with all levels of personnel and medical staff. 12. Ability to effectively interact with clients that have a broad range of computer knowledge and ability. 13. Ability to plan for and act on changes in the business and market environment that impact current business plans and processes. 14. Ability to problem solve and engage independent critical thinking skills. 15. Ability to prioritize work demands and work with minimal supervision. 16. Ability to maintain confidentiality relevant to sensitive information. 17. Ability to maintain regular and punctual attendance. EDUCATION AND EXPERIENCE: Bachelors degree in Data Science, Data Management, Analytics, Computer Science, Public Health, Hospital Administration, Business, or related field required. Masters degree preferred. Five (5) years of related work experience required. Prior project leadership experience (formal or informal) required. Prior data governance experience highly preferred. Prior Epic experience preferred. OTHER CREDENTIALS / CERTIFICATIONS: Epic Cogito Fundamentals and Cogito Project Manager certification preferred. Epic certification in Cogito Fundamentals and Cogito Project Manager required within six (6) months of hire. PHYSICAL REQUIREMENTS: (Physical Requirements are based on federal criteria and assigned by Human Resources upon review of the Principal Job Functions.) (DOT) Characterized as sedentary work requiring exertion of up to 10 pounds of force occasionally and/or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body. Required Preferred Job Industries Other
04/14/2026
Full time
Summary GENERAL SUMMARY: Responsible for the establishment and maintenance of Bryan Healths data governance program and infrastructure. As the organizations data governance champion, collaborates with leaders and data stewards across Bryan Health to develop, implement, and execute the organizations data and AI governance strategies, policies, and procedures. As a critical part of Bryans Data Analytics Center of Excellence, recommends data governance policies to entity governance for review and approval, while working with IT and key business units to constantly improve data definitions, integrity, security, and reliability, ensuring high-quality inputs for analytics and AI models. PRINCIPAL JOB FUNCTIONS: 1. Commits to the mission, vision, beliefs and consistently demonstrates our core values. 2. Participates in or supports work stream planning process. 3. Effectively communicates with executive sponsors, project advocates, leaders, and data stewards to help them understand and apply policy and principles of data governance while ensuring that deliverables meet business requirements. 4. Develops and plays a hands-on role in operationalizing an organization-wide data governance strategy, framework and roadmap that aligns with the organizations overall data, analytics, AI, and data security strategy. 5. Defines and enforces data standards, data classification, and data protection guidelines to ensure consistent and reliable data across systems, processes, and business units. 6. Translates Data and AI governance policies and standards into actionable strategies and implementable solutions, ensuring practical application and demonstratable impact on data reliability. 7. Develops and implements policies and standards for managing data used in AI models to ensure quality, security, privacy, and compliance with relevant regulations. 8. Collaborates with business stakeholders, data owners and data stewards to establish data governance roles, responsibilities, and accountabilities within the organization. 9. Collaborates with data science and AI/ML teams to ensure the reliability of data used in AI training, validation, and deployment. 10. Aligns data governance policies with AI development lifecycle, ensuring proper data stewardship and governance throughout the AI project lifecycle. 11. Conducts assessments to identify data issues, gaps, and opportunities for improvement. 12. Provides guidance and training to business users and data stewards on data governance policies, procedures, and best practices. 13. Collaborates with Data Council, Advisory Teams, and other governance groups for program oversight and issue resolution. 14. Identifies and mitigates risks related to AI data, including bias, fairness, and privacy concerns, to support responsible AI practices. 15. Works closely with Data Analytics and IT to design and implement data governance tools, technologies, and platforms to provide data quality checks, data cataloging, and data lineage tracking. 16. Stays up to date with AI and data governance industry trends, emerging technologies, regulatory changes, and standards around the evolving legal, ethical, and technological standards related to AI and data governance, and proactively recommends improvements and enhancements to governance frameworks. 17. Ensures that data used in AI systems complies with data privacy laws and organizational policies and maintains auditability of AI data pipelines. 18. Engages and advises the Bryan Data Analytics Council on project prioritization and other agenda items as needed. 19. Develops effective collaborative relationships with stakeholders across the Bryan Health System. 20. Works with executive sponsors and project advocates to ensure products meet business requirements. 21. Collaborates with other teams and leaders to ensure resources and priorities align with Data Council guidance. 22. Establishes effective relationships with clients and provides leadership for all data governance at Bryan. 23. Maintains professional growth and development through seminars, workshops, and professional affiliations to keep abreast of latest the latest trends in field of expertise. Keeps abreast of industry news and trends. 24. Effectively facilitates and participates on multi-disciplinary teams; attends and participates in project meetings and activities. 25. Performs other related projects and duties as assigned. (Essential Job functions are marked with an asterisk ). REQUIRED KNOWLEDGE, SKILLS AND ABILITIES: 1. Expert knowledge in principals of data governance and data governance program design. 2. Highly proficient in data governance concepts and application (metadata management, data quality, stewardship, etc.). 3. Knowledge of AI and AI governance. 4. Knowledge of health care market and industry trends. 5. Knowledge of computer hardware equipment and software applications relevant to work functions. 6. Strong skills in problem solving and process improvement. 7. Excellent communication skills and ability to explain complex topics to non-technical audiences. 8. Strong ability in program and project management. 9. Ability to perform crucial conversations with desired outcomes. 10. Ability to communicate effectively both verbally and in writing. 11. Ability to establish and maintain effective working relationships with all levels of personnel and medical staff. 12. Ability to effectively interact with clients that have a broad range of computer knowledge and ability. 13. Ability to plan for and act on changes in the business and market environment that impact current business plans and processes. 14. Ability to problem solve and engage independent critical thinking skills. 15. Ability to prioritize work demands and work with minimal supervision. 16. Ability to maintain confidentiality relevant to sensitive information. 17. Ability to maintain regular and punctual attendance. EDUCATION AND EXPERIENCE: Bachelors degree in Data Science, Data Management, Analytics, Computer Science, Public Health, Hospital Administration, Business, or related field required. Masters degree preferred. Five (5) years of related work experience required. Prior project leadership experience (formal or informal) required. Prior data governance experience highly preferred. Prior Epic experience preferred. OTHER CREDENTIALS / CERTIFICATIONS: Epic Cogito Fundamentals and Cogito Project Manager certification preferred. Epic certification in Cogito Fundamentals and Cogito Project Manager required within six (6) months of hire. PHYSICAL REQUIREMENTS: (Physical Requirements are based on federal criteria and assigned by Human Resources upon review of the Principal Job Functions.) (DOT) Characterized as sedentary work requiring exertion of up to 10 pounds of force occasionally and/or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body. Required Preferred Job Industries Other
Description: Oversee and lead the activities of the entire Sales Department which includes both the National and Retail teams. Responsible for increasing company revenue by identifying and developing new business opportunities as well as expanding brand presence. Always improving. Always serving. Always winning together. Exceeding expectations every day. Requirements: SALES MANAGER Provide leadership and direction to the national and retail sales teams. Motivate and encourage sales teams to ensure quotas met. Review and analyze sales and operational records and reports; use data to project sales, determine profitability and targets, and identify potential new markets. Identify and analyze customer preferences to properly direct sales efforts. Assign territories and set quotas for sales teams. Consult with potential customers to understand their needs: Work with the sales team to identify and suggest equipment, products, or services that will meet those needs. Resolve customer concerns, staffing problems, and other issues that may interfere with efficient sales operations. Collaborate with executive leadership to develop sales quotas and strategies. Prepare sales budget; monitor, and approve expenses. Assist Human Resources Department with recruiting and training salesforce talent. Ensure team members have opportunities for continuous learning and growth to further their skills and abilities. Identify knowledge gaps within teams or departments and develop a plan. Foster close working relationships with internal and external stakeholders to ensure the sales organization's success. Conduct performance evaluations that are timely and constructive. Act as company representative at trade association meetings. Performs other duties as assigned. NEW BUSINESS DEVELOPMENT Build solid relationships with customers, vendors, and distributors, as well as with sales and marketing teams Develop in-depth knowledge of company offerings to identify profitable business opportunities Direct marketing efforts by presenting market research to the marketing team and suggesting strategies to expand market research Evaluate the overall structure of marketing and sales departments and supplier and vendor operations to look for opportunities to make improvements, further leverage synergies, and work towards continuous improvement. Prepare or assist the sales team with all documentation required for requests for proposals (RFPs). Research emerging trends and make recommendations for new company offerings to satisfy customer needs. Develop and manage strategic partnerships to grow business with existing and new accounts Present business or marketing opportunities to company executives and management Performs other duties as assigned EDUCATION AND EXPERIENCE Bachelor's degree in business administration, Marketing, Finance, or related field Proven business development, sales, or marketing experience Valid driver's license JOB DETAILS Job Type: Full-Time Work Location: Onsite in Friesland, WI REQUIRED SKILLS AND ABILITIES Excellent analytical, problem-solving, and decision-making skills Exceptional leadership and management skills Excellent and effective communication and negotiation skills Professional and concise email composition detail-oriented and highly organized Successfully manage multiple priorities and initiatives at once and re-prioritize as needed Ability to manage change and facilitate the implementation of new programs through the use of the sales and marketing teams Strong and well-organized manager, communicator, and team builder Proficient with Microsoft Office Suite or related software Proficient with ERP and related systems PHYSICAL/ENVIRONMENTAL DEMANDS Various repetitive movements. Good manual dexterity to perform required duties Exposure to airborne particles or fumes Must be able to lift 25 pounds at times Must wear safety glasses and hearing protection in designated areas WHY CHOOSE ALSUM Strong family culture Values: Integrity, Accountability, Excellence, Stewardship, Servant Leadership Employer contributed health plan Employer paid life insurance Voluntary dental, life, disability, and vision insurance Onsite fitness center Vacation and holiday pay Profit Sharing 401(k) with company match Educational Assistance program OTHER Able to travel as needed. Self-motivated and able to function independently and as part of a team. SUPERVISORY RESPONSIBILITY Sales Department: National Sales Account Representatives, Retail Sales Supervisor, Marketing Manager We are an Equal Opportunity Employer and a Drug Free Workplace PI6-
04/14/2026
Full time
Description: Oversee and lead the activities of the entire Sales Department which includes both the National and Retail teams. Responsible for increasing company revenue by identifying and developing new business opportunities as well as expanding brand presence. Always improving. Always serving. Always winning together. Exceeding expectations every day. Requirements: SALES MANAGER Provide leadership and direction to the national and retail sales teams. Motivate and encourage sales teams to ensure quotas met. Review and analyze sales and operational records and reports; use data to project sales, determine profitability and targets, and identify potential new markets. Identify and analyze customer preferences to properly direct sales efforts. Assign territories and set quotas for sales teams. Consult with potential customers to understand their needs: Work with the sales team to identify and suggest equipment, products, or services that will meet those needs. Resolve customer concerns, staffing problems, and other issues that may interfere with efficient sales operations. Collaborate with executive leadership to develop sales quotas and strategies. Prepare sales budget; monitor, and approve expenses. Assist Human Resources Department with recruiting and training salesforce talent. Ensure team members have opportunities for continuous learning and growth to further their skills and abilities. Identify knowledge gaps within teams or departments and develop a plan. Foster close working relationships with internal and external stakeholders to ensure the sales organization's success. Conduct performance evaluations that are timely and constructive. Act as company representative at trade association meetings. Performs other duties as assigned. NEW BUSINESS DEVELOPMENT Build solid relationships with customers, vendors, and distributors, as well as with sales and marketing teams Develop in-depth knowledge of company offerings to identify profitable business opportunities Direct marketing efforts by presenting market research to the marketing team and suggesting strategies to expand market research Evaluate the overall structure of marketing and sales departments and supplier and vendor operations to look for opportunities to make improvements, further leverage synergies, and work towards continuous improvement. Prepare or assist the sales team with all documentation required for requests for proposals (RFPs). Research emerging trends and make recommendations for new company offerings to satisfy customer needs. Develop and manage strategic partnerships to grow business with existing and new accounts Present business or marketing opportunities to company executives and management Performs other duties as assigned EDUCATION AND EXPERIENCE Bachelor's degree in business administration, Marketing, Finance, or related field Proven business development, sales, or marketing experience Valid driver's license JOB DETAILS Job Type: Full-Time Work Location: Onsite in Friesland, WI REQUIRED SKILLS AND ABILITIES Excellent analytical, problem-solving, and decision-making skills Exceptional leadership and management skills Excellent and effective communication and negotiation skills Professional and concise email composition detail-oriented and highly organized Successfully manage multiple priorities and initiatives at once and re-prioritize as needed Ability to manage change and facilitate the implementation of new programs through the use of the sales and marketing teams Strong and well-organized manager, communicator, and team builder Proficient with Microsoft Office Suite or related software Proficient with ERP and related systems PHYSICAL/ENVIRONMENTAL DEMANDS Various repetitive movements. Good manual dexterity to perform required duties Exposure to airborne particles or fumes Must be able to lift 25 pounds at times Must wear safety glasses and hearing protection in designated areas WHY CHOOSE ALSUM Strong family culture Values: Integrity, Accountability, Excellence, Stewardship, Servant Leadership Employer contributed health plan Employer paid life insurance Voluntary dental, life, disability, and vision insurance Onsite fitness center Vacation and holiday pay Profit Sharing 401(k) with company match Educational Assistance program OTHER Able to travel as needed. Self-motivated and able to function independently and as part of a team. SUPERVISORY RESPONSIBILITY Sales Department: National Sales Account Representatives, Retail Sales Supervisor, Marketing Manager We are an Equal Opportunity Employer and a Drug Free Workplace PI6-
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Bank of America, Wells Fargo, Lowe's Companies, Inc. or other leading organizations in the Charlotte area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Banking - IT Support - Application Development - Data Analytics - Project Management Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year. PandoLogic. Category:General, Location:Charlotte, NC-28254
04/14/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Bank of America, Wells Fargo, Lowe's Companies, Inc. or other leading organizations in the Charlotte area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Banking - IT Support - Application Development - Data Analytics - Project Management Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year. PandoLogic. Category:General, Location:Charlotte, NC-28254
MGR DATA ANALYTICS AND REPORTING 1LOD WHAT IS THE OPPORTUNITY? Position will support the Risk Strategy and Governance program by leading the Data Analytics and Reporting team to provide solutions on data and reporting needs. Produce intelligence through querying data repositories, generating periodic reports, and identifying risk trends through quantitative and qualitative analysis. Implement analytical approaches and methodologies and assist in the interpretation of results. Present reports to management for use in decision making and strategic planning. Furthermore, increase automation in processes related to data and reporting along the division to maximize productivity. WHAT WILL YOU DO? Define and maintain a reporting framework to support the monitoring and management of risk and control assurance activities for applicable 1LOD Risk catagories, as well as other ERM related programs and initiatives. Engage with internal and external stakeholders to understand needs and ensure reporting and outputs are in alignment to key risk programs Responsible for design, implementation and maintenance of intuitive dashboards that deliver valuable insights for enabling data-driven decision making and automation of processes. Responsible for periodic risk reporting and analysis to support Risk and Compliance Disciplines in the Office of the President Foster and maintain good working relationships with colleagues to meet expected service levels Oversee, coach, mentor and develop staff to facilitate the achievement of the team's goals Lead efforts involving analysis and reporting of risk profile, control performance, and benchmark process performance against Key Risk Indicators and Risk Appetite Metrics, highlighting any exceptions or areas of concern Lead standardization and improvement of quarterly Division Risk Committee presentation and develop aggregated view for all divisions under the Centralized Risk and Compliance unit and other materials as needed Collaborate with larger Bank-level programs (e.g., new system implementation or data initiatives) to identify impacts and dependencies on reporting requirements Discover patterns, insights, trends and anomalies from straightforward analyses, data sets and visualization tools. Understands concepts of data lineage and data stewardship in order to develop effective data analytics that provide the insights. Identify data quality issues and concerns and support data governance initiatives Stay abreast on specific reporting standards, department reporting requirements and bank system changes/enhancements. WHAT DO YOU NEED TO SUCCEED? Required Qualifications Bachelor's Degree or equivalent Minimum 5 years of experience in one or a combination of the following: reporting, analytics, or modeling Minimum 5 years of experience with SAS or SQL, or other data management, reporting and query tools (Sharepoint, SAP, Business Objects, Tableau, Crystal reports/Dashboard, etc) Minimum 5 years of experience in banking/operations Additional Qualifications Master's Degree Preferred Strong analytical and organizational skills with emphasis on report production and program management. Ability to effectively manage team and projects Hands on experience gathering requirements, designing and coding new reports, maintaining and enhancing existing reports, as well as designing dashboards Report development experience utilizing Microsoft SQL Server Reporting Services (SSRS), Tableau, Business Objects, Crystal Reports or similar report development software Advanced experience designing and generating scheduled and ad hoc reports using reporting/query tools (i.e. Brio, Toad, SQL Developer, MS Access, Crystal Reports, Business Objects, etc.) Expertise in statistical programming, data mining and machine learning tools (Python, SAS, R, etc ) Experience developing business applications using VBA code and Access forms Must be detail-oriented and possess effective organizational and analytical skills Understanding of banking processes and risk management programs Ability to handle complexity and ambiguity Must have excellent verbal and written communications skills and ability to communicate clearly and professionally with all levels of the organization WHAT'S IN IT FOR YOU? Compensation Starting base salary: $101,231 - $172,355 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions. Benefits and Perks At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including: Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date Generous 401(k) company matching contribution Career Development through Tuition Reimbursement and other internal upskilling and training resources Valued Time Away benefits including vacation, sick and volunteer time Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs Career Mobility support from a dedicated recruitment team Colleague Resource Groups to support networking and community engagement Get a more detailed look at our Benefits and Perks. ABOUT US Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America's leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us. INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. accepts applications on an ongoing basis, until filled. Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job.
04/14/2026
Full time
MGR DATA ANALYTICS AND REPORTING 1LOD WHAT IS THE OPPORTUNITY? Position will support the Risk Strategy and Governance program by leading the Data Analytics and Reporting team to provide solutions on data and reporting needs. Produce intelligence through querying data repositories, generating periodic reports, and identifying risk trends through quantitative and qualitative analysis. Implement analytical approaches and methodologies and assist in the interpretation of results. Present reports to management for use in decision making and strategic planning. Furthermore, increase automation in processes related to data and reporting along the division to maximize productivity. WHAT WILL YOU DO? Define and maintain a reporting framework to support the monitoring and management of risk and control assurance activities for applicable 1LOD Risk catagories, as well as other ERM related programs and initiatives. Engage with internal and external stakeholders to understand needs and ensure reporting and outputs are in alignment to key risk programs Responsible for design, implementation and maintenance of intuitive dashboards that deliver valuable insights for enabling data-driven decision making and automation of processes. Responsible for periodic risk reporting and analysis to support Risk and Compliance Disciplines in the Office of the President Foster and maintain good working relationships with colleagues to meet expected service levels Oversee, coach, mentor and develop staff to facilitate the achievement of the team's goals Lead efforts involving analysis and reporting of risk profile, control performance, and benchmark process performance against Key Risk Indicators and Risk Appetite Metrics, highlighting any exceptions or areas of concern Lead standardization and improvement of quarterly Division Risk Committee presentation and develop aggregated view for all divisions under the Centralized Risk and Compliance unit and other materials as needed Collaborate with larger Bank-level programs (e.g., new system implementation or data initiatives) to identify impacts and dependencies on reporting requirements Discover patterns, insights, trends and anomalies from straightforward analyses, data sets and visualization tools. Understands concepts of data lineage and data stewardship in order to develop effective data analytics that provide the insights. Identify data quality issues and concerns and support data governance initiatives Stay abreast on specific reporting standards, department reporting requirements and bank system changes/enhancements. WHAT DO YOU NEED TO SUCCEED? Required Qualifications Bachelor's Degree or equivalent Minimum 5 years of experience in one or a combination of the following: reporting, analytics, or modeling Minimum 5 years of experience with SAS or SQL, or other data management, reporting and query tools (Sharepoint, SAP, Business Objects, Tableau, Crystal reports/Dashboard, etc) Minimum 5 years of experience in banking/operations Additional Qualifications Master's Degree Preferred Strong analytical and organizational skills with emphasis on report production and program management. Ability to effectively manage team and projects Hands on experience gathering requirements, designing and coding new reports, maintaining and enhancing existing reports, as well as designing dashboards Report development experience utilizing Microsoft SQL Server Reporting Services (SSRS), Tableau, Business Objects, Crystal Reports or similar report development software Advanced experience designing and generating scheduled and ad hoc reports using reporting/query tools (i.e. Brio, Toad, SQL Developer, MS Access, Crystal Reports, Business Objects, etc.) Expertise in statistical programming, data mining and machine learning tools (Python, SAS, R, etc ) Experience developing business applications using VBA code and Access forms Must be detail-oriented and possess effective organizational and analytical skills Understanding of banking processes and risk management programs Ability to handle complexity and ambiguity Must have excellent verbal and written communications skills and ability to communicate clearly and professionally with all levels of the organization WHAT'S IN IT FOR YOU? Compensation Starting base salary: $101,231 - $172,355 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions. Benefits and Perks At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including: Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date Generous 401(k) company matching contribution Career Development through Tuition Reimbursement and other internal upskilling and training resources Valued Time Away benefits including vacation, sick and volunteer time Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs Career Mobility support from a dedicated recruitment team Colleague Resource Groups to support networking and community engagement Get a more detailed look at our Benefits and Perks. ABOUT US Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America's leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us. INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. accepts applications on an ongoing basis, until filled. Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job.
Member Services Agent Role and Responsibilities The member services agent is responsible for providing effective customer service for all internal and external customers by using excellent, in-depth knowledge of company products and programs as well as communicating effectively with team members within the customer service department. Knowledge of principles and processes for providing customer and personal services. This includes customer needs assessment, meeting quality standards for services, and evaluation of customer satisfaction. Confer with customers by telephone to provide information about Rx claims processing. Keep detailed records of customer interactions or transactions, recording details of inquiries, complaints, or comments, as well as actions taken. Follow-up to ensure that appropriate changes were made to resolve customers' problems. Refer unresolved customer grievances to designated departments for further investigation. Review Rx insurance policy terms to determine whether a claim is covered for employer group. Contact customers to respond to inquiries or to notify them of claim investigation results or any planned adjustments. Resolve customers' service or billing complaints. Obtain and examine all relevant information to assess validity of complaints and to determine possible causes. Abide by all obligations under HIPAA related to Protected Health Information (PHI). If a HIPAA violation is discovered, whether individually or by another, you must report the violation to the Compliance Officer and/or Human Resources. Attend, complete, and demonstrate competency in all required HIPAA Training offered by the company. Flexibility to understand, appreciate and embrace that this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Required Skills and Competencies Interacting with Computers - Using computers and computer systems (including hardware and software) to program, write software, set up functions, enter data, or process information. Communicating with Supervisors, Peers, or Subordinates - Providing information to supervisors, co-workers, and subordinates by telephone, in written form, e-mail, or in person. Getting Information - Observing, receiving, and otherwise obtaining information from all relevant sources. Communicating with Persons Outside Organization - Communicating with people outside the organization, representing the organization to customers, the public, government, and other external sources. This information can be exchanged in person, in writing, or by telephone or e-mail. Processing Information - Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying information or data. Resolving Conflicts and Negotiating with Others - Handling complaints, settling disputes, and resolving grievances and conflicts, or otherwise negotiating with others. Updating and Using Relevant Knowledge - Keeping up-to-date technically and applying new knowledge to your job. Organizing, Planning, and Prioritizing Work - Developing specific goals and plans to prioritize, organize, and accomplish your work. Performing Administrative Activities - Performing day-to-day administrative tasks such as maintaining information files and processing paperwork. Making Decisions and Solving Problems - Analyzing information and evaluating results to choose the best solution and solve problems. Customer and Client Focus. Problem Solving and Analysis. Time Management. Communication Proficiency. Teamwork Orientation. Technical Capacity. Multitasking Position Type and Expected Hours of Work This is a full-time, hourly position. Days and hours of work vary on shift assigned. The Call Center hours of operation are Monday - Friday 6a - 10p, Saturday 8a - 6p, and Sunday 8a-5p. On-Call responsibilities are on a rotation basis. Travel Minimal travel expected for this position to Natchitoches, Louisiana for training and development. Qualifications and Education Requirements High School or equivalent. Customer service experience. Computer experience. Liviniti, LLC and all entities provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Liviniti complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Liviniti expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Liviniti employees to perform their job duties may result in discipline up to and including discharge. EOE M/F/V/D PIdc146376aacf-8224
04/13/2026
Full time
Member Services Agent Role and Responsibilities The member services agent is responsible for providing effective customer service for all internal and external customers by using excellent, in-depth knowledge of company products and programs as well as communicating effectively with team members within the customer service department. Knowledge of principles and processes for providing customer and personal services. This includes customer needs assessment, meeting quality standards for services, and evaluation of customer satisfaction. Confer with customers by telephone to provide information about Rx claims processing. Keep detailed records of customer interactions or transactions, recording details of inquiries, complaints, or comments, as well as actions taken. Follow-up to ensure that appropriate changes were made to resolve customers' problems. Refer unresolved customer grievances to designated departments for further investigation. Review Rx insurance policy terms to determine whether a claim is covered for employer group. Contact customers to respond to inquiries or to notify them of claim investigation results or any planned adjustments. Resolve customers' service or billing complaints. Obtain and examine all relevant information to assess validity of complaints and to determine possible causes. Abide by all obligations under HIPAA related to Protected Health Information (PHI). If a HIPAA violation is discovered, whether individually or by another, you must report the violation to the Compliance Officer and/or Human Resources. Attend, complete, and demonstrate competency in all required HIPAA Training offered by the company. Flexibility to understand, appreciate and embrace that this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Required Skills and Competencies Interacting with Computers - Using computers and computer systems (including hardware and software) to program, write software, set up functions, enter data, or process information. Communicating with Supervisors, Peers, or Subordinates - Providing information to supervisors, co-workers, and subordinates by telephone, in written form, e-mail, or in person. Getting Information - Observing, receiving, and otherwise obtaining information from all relevant sources. Communicating with Persons Outside Organization - Communicating with people outside the organization, representing the organization to customers, the public, government, and other external sources. This information can be exchanged in person, in writing, or by telephone or e-mail. Processing Information - Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying information or data. Resolving Conflicts and Negotiating with Others - Handling complaints, settling disputes, and resolving grievances and conflicts, or otherwise negotiating with others. Updating and Using Relevant Knowledge - Keeping up-to-date technically and applying new knowledge to your job. Organizing, Planning, and Prioritizing Work - Developing specific goals and plans to prioritize, organize, and accomplish your work. Performing Administrative Activities - Performing day-to-day administrative tasks such as maintaining information files and processing paperwork. Making Decisions and Solving Problems - Analyzing information and evaluating results to choose the best solution and solve problems. Customer and Client Focus. Problem Solving and Analysis. Time Management. Communication Proficiency. Teamwork Orientation. Technical Capacity. Multitasking Position Type and Expected Hours of Work This is a full-time, hourly position. Days and hours of work vary on shift assigned. The Call Center hours of operation are Monday - Friday 6a - 10p, Saturday 8a - 6p, and Sunday 8a-5p. On-Call responsibilities are on a rotation basis. Travel Minimal travel expected for this position to Natchitoches, Louisiana for training and development. Qualifications and Education Requirements High School or equivalent. Customer service experience. Computer experience. Liviniti, LLC and all entities provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Liviniti complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Liviniti expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Liviniti employees to perform their job duties may result in discipline up to and including discharge. EOE M/F/V/D PIdc146376aacf-8224
Position Title: CNC Programmer Location: Montebello, CA 90640, USA Job Category: Manufacturing Req ID: CNCPR001448 Schedule: Full Time Posted:Nov 4, 2025 Job Details Description Close to You Anywhere in the World Groupe SEB is the global reference for small domestic appliances, cookware and professional coffee with its portfolio of 35 emblematic brands such as Tefal, Seb, Rowenta, Moulinex, Calor, Lagostina, Krups, WMF. Present in 150 countries, we produce in more than 40 industrial sites and sell 11 products per second. We believe in the richness of diversity and aspire to create an inclusive and stimulating work environment where our more than 30,000 employees can grow and give their best. SEB Professional is a subsidiary of Groupe SEB. At SEB Professional North America, we are a leader in the professional coffee machine industry, offering three equipment lines: Schaerer, WMF, and Curtis. Our innovative coffee machines are trusted worldwide and can be found in a variety of settings, including hotels, restaurants, coffee shops, and convenience stores. You've likely enjoyed coffee from our machines at McDonald's, Dunkin', Chick-fil-A, Peet's, or Tim Hortons. Join us in delivering exceptional coffee experiences worldwide. What We Will Achieve Together: The CNC Programmer is the Subject Matter Expert and works independently, making decisions related to the interpretation from reading blueprints, translating these into the proper set up of mills, lathes, lasers to accurately set the tolerance limits in support of "just in time" delivery of fabrication to production. The CNC Programmer acts as a backup to the Supervisor/Manager covering vacation and sick time and the CNC Programmer trains others in the programming and setup for the application of job runs. Base Salary Range: $30/hr - $38/hr DOE. Key Responsibilities Include: Collaborates with engineering on building prototypes Leads and/or Assists in the design and development of machine tooling Proficient in set up and operation of Turrets, Laser, Panel Bender, Safan First article inspection Adjusts machine settings to operate machinery in accordance with established procedures Communicate machine operation or parts defects In collaboration with the Fabrication Manager makes decisions on spending needs for the machine shop equipment Assists Machine Operators answering questions and solving problems Identify tool and die issues and perform repair (sharpening) and replacement of tool & die Observes operation of machine and verifies conformance of formed or cut workpiece to specifications, using measuring instruments, such as fixed gauges, calipers, and micrometers Sources and obtains quotes on machine shop tooling needs Leads and Supports training and preparing bench strength Ensures that all IMS Standards are maintained and followed Has responsibility for scrap control and reduction Review production schedule for turret and laser and maximize sheet metal yield Runs simulations for new routings and bill of materials for costing purposes Maintain cleanliness of workstations Ability to operate electric pallet jack and hand pallet jack Requirements: Experience: Minimum of 3 years of experience in a role with equivalent experience. Preferably in a fast-paced organization with an international presence. Manufacturing experience is a must. Education: High School Diploma. Certification: CNC Programmer from accredited school/program. Key Skills: CNC Programming, Blueprint Reading, CAD/CAM Software, Machine Tooling, and Safety Standards. Core Competencies: Problem Solving, Interpersonal Skills, Action Orientation, Detail Orientation, Effective Communication and Collaboration. Overview: Type of Employment: Full time. Non-Exempt Workplace Schedule Type: On-Site (May be required to work weekends) Position Location: Montebello Why SEB Professional North America? Whether working remotely, in one of our offices, or flexing in between, we offer a number of benefits and perks to support you and your family. Here is a sample of some of our benefits programs: Medical / Dental / Vision Insurance - Generous Employer Contribution 401(K) Retirement Plan w/ up to a 9% employer contribution after 1 st year of employment. On Site Gym 12 Paid Holidays Voluntary Benefits and Discount programs Equal Employment Opportunity (EEO) SEB Professional is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other category protected by federal, state, or local law. SEB Professional does not make employment decisions based on any protected class status. For more information, please see OFCCP Equal Employment. PI41c5e345b46d-3212
04/13/2026
Full time
Position Title: CNC Programmer Location: Montebello, CA 90640, USA Job Category: Manufacturing Req ID: CNCPR001448 Schedule: Full Time Posted:Nov 4, 2025 Job Details Description Close to You Anywhere in the World Groupe SEB is the global reference for small domestic appliances, cookware and professional coffee with its portfolio of 35 emblematic brands such as Tefal, Seb, Rowenta, Moulinex, Calor, Lagostina, Krups, WMF. Present in 150 countries, we produce in more than 40 industrial sites and sell 11 products per second. We believe in the richness of diversity and aspire to create an inclusive and stimulating work environment where our more than 30,000 employees can grow and give their best. SEB Professional is a subsidiary of Groupe SEB. At SEB Professional North America, we are a leader in the professional coffee machine industry, offering three equipment lines: Schaerer, WMF, and Curtis. Our innovative coffee machines are trusted worldwide and can be found in a variety of settings, including hotels, restaurants, coffee shops, and convenience stores. You've likely enjoyed coffee from our machines at McDonald's, Dunkin', Chick-fil-A, Peet's, or Tim Hortons. Join us in delivering exceptional coffee experiences worldwide. What We Will Achieve Together: The CNC Programmer is the Subject Matter Expert and works independently, making decisions related to the interpretation from reading blueprints, translating these into the proper set up of mills, lathes, lasers to accurately set the tolerance limits in support of "just in time" delivery of fabrication to production. The CNC Programmer acts as a backup to the Supervisor/Manager covering vacation and sick time and the CNC Programmer trains others in the programming and setup for the application of job runs. Base Salary Range: $30/hr - $38/hr DOE. Key Responsibilities Include: Collaborates with engineering on building prototypes Leads and/or Assists in the design and development of machine tooling Proficient in set up and operation of Turrets, Laser, Panel Bender, Safan First article inspection Adjusts machine settings to operate machinery in accordance with established procedures Communicate machine operation or parts defects In collaboration with the Fabrication Manager makes decisions on spending needs for the machine shop equipment Assists Machine Operators answering questions and solving problems Identify tool and die issues and perform repair (sharpening) and replacement of tool & die Observes operation of machine and verifies conformance of formed or cut workpiece to specifications, using measuring instruments, such as fixed gauges, calipers, and micrometers Sources and obtains quotes on machine shop tooling needs Leads and Supports training and preparing bench strength Ensures that all IMS Standards are maintained and followed Has responsibility for scrap control and reduction Review production schedule for turret and laser and maximize sheet metal yield Runs simulations for new routings and bill of materials for costing purposes Maintain cleanliness of workstations Ability to operate electric pallet jack and hand pallet jack Requirements: Experience: Minimum of 3 years of experience in a role with equivalent experience. Preferably in a fast-paced organization with an international presence. Manufacturing experience is a must. Education: High School Diploma. Certification: CNC Programmer from accredited school/program. Key Skills: CNC Programming, Blueprint Reading, CAD/CAM Software, Machine Tooling, and Safety Standards. Core Competencies: Problem Solving, Interpersonal Skills, Action Orientation, Detail Orientation, Effective Communication and Collaboration. Overview: Type of Employment: Full time. Non-Exempt Workplace Schedule Type: On-Site (May be required to work weekends) Position Location: Montebello Why SEB Professional North America? Whether working remotely, in one of our offices, or flexing in between, we offer a number of benefits and perks to support you and your family. Here is a sample of some of our benefits programs: Medical / Dental / Vision Insurance - Generous Employer Contribution 401(K) Retirement Plan w/ up to a 9% employer contribution after 1 st year of employment. On Site Gym 12 Paid Holidays Voluntary Benefits and Discount programs Equal Employment Opportunity (EEO) SEB Professional is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other category protected by federal, state, or local law. SEB Professional does not make employment decisions based on any protected class status. For more information, please see OFCCP Equal Employment. PI41c5e345b46d-3212
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Bank of America, Wells Fargo, Lowe's Companies, Inc. or other leading organizations in the Charlotte area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Banking - IT Support - Application Development - Data Analytics - Project Management Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.
04/13/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Bank of America, Wells Fargo, Lowe's Companies, Inc. or other leading organizations in the Charlotte area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Banking - IT Support - Application Development - Data Analytics - Project Management Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.
Job Description: Saab Inc.'s Surveillance U.S. Division is seeking a Senior Staff Radar Integration and Test Engineer to lead a key development radar program at our Headquarter facility in East Syracuse, NY. Make an immediate impact by supporting the surveillance systems that encompass all forms of detecting and tracking aircraft while in flight and on the surface of airports, including radar, multilateration, and Automatic Dependent Surveillance - Broadcast. Saab, Inc. specializes in the design and deployment of these solutions, the development of integrated surveillance systems, and the fusion and display of the information each creates. As a member of the team, not only will you have the opportunity to lead the integration and testing of these products for deployment to customers within the U.S., you will also learn the ins and outs of the products for career development. The location of this position is onsite in the East Syracuse, NY office although the ability to work remotely (within the Northeast region) is possible, depending on a candidate's experience as well as program objectives. Responsibilities and development opportunities include: Leading Integration & Test program planning and execution for verification and validation activities Support Earned Value Management and schedule development Developing and executing complex software and/or hardware test plans and procedures for system level testing Leading complex integration activities and development of test environments and tools Leading internal and external customers on technical and programmatic issues Leading technical reviews and status meetings Performing data analysis, preparing test briefings, and writing test reports Working in accordance with standard operating procedures Identifying the interdependencies of products and programs and planning integration and test events accordingly Providing mentoring, technical guidance, and coaching for less-experienced engineers Collaborating with SMEs to understand customer requirements and establishing test criteria Contributing to the adoption of new design and development approaches to improve overall quality, reliability and speed of implementation Responsible for several components of a project or a complex component of a larger project Compensation Range: $115,700-$150,500 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Skills and Experience: Bachelor's degree in an Engineering discipline, Computer Science, Physics or Mathematics. Master's degree is a plus. 15+ years in a technical environment, primarily in a Test Engineering role. Experience leading Developmental Test and Evaluation, Factory Acceptance Test (FAT), and Site Acceptance Testing (SAT) Proven background in Radar focused software and hardware system integration & test activities. Previously demonstrated leadership skills with cross functional experience. Experience with hands-on Radar Systems . Proven experience in functional and performance testing. Experience with C++ and Linux and/or digital hardware Experience in MATLAB for tool development/systems analysis. Understanding of the use of configuration management, quality assurance, requirement management systems, and automatic testing tools. Ability to independently and effectively interact with all stakeholders (internal/external) on technical issues. Experience with providing cost-effective estimates for schedule, labor, and equipment required to cover integration and test activities of the team. Understand the need for control, repeatability, and risk management and act accordingly and proactively. Excellent presentation skills to enable integration and test related material, and effectively communicate in a group environment. Ability to effectively multi-task and work well in a fast-paced environment. Attention to detail and an analytical eye for noticing inconsistencies and an innovative passion for reconciling them. Possess strong interpersonal and teamwork skills, must be able to interface respectfully with co-workers, customers, vendors, and subcontractors. Citizenship Requirements: Must be a U.S. citizen, Permanent Resident (green card holder), or protected individual as defined by 8 U.S.C. 1324b(a)(3). Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 19,000 talented people, Saab constantly pushes the boundaries of technology to create a safer, more sustainable and more equitable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in eight U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
04/13/2026
Full time
Job Description: Saab Inc.'s Surveillance U.S. Division is seeking a Senior Staff Radar Integration and Test Engineer to lead a key development radar program at our Headquarter facility in East Syracuse, NY. Make an immediate impact by supporting the surveillance systems that encompass all forms of detecting and tracking aircraft while in flight and on the surface of airports, including radar, multilateration, and Automatic Dependent Surveillance - Broadcast. Saab, Inc. specializes in the design and deployment of these solutions, the development of integrated surveillance systems, and the fusion and display of the information each creates. As a member of the team, not only will you have the opportunity to lead the integration and testing of these products for deployment to customers within the U.S., you will also learn the ins and outs of the products for career development. The location of this position is onsite in the East Syracuse, NY office although the ability to work remotely (within the Northeast region) is possible, depending on a candidate's experience as well as program objectives. Responsibilities and development opportunities include: Leading Integration & Test program planning and execution for verification and validation activities Support Earned Value Management and schedule development Developing and executing complex software and/or hardware test plans and procedures for system level testing Leading complex integration activities and development of test environments and tools Leading internal and external customers on technical and programmatic issues Leading technical reviews and status meetings Performing data analysis, preparing test briefings, and writing test reports Working in accordance with standard operating procedures Identifying the interdependencies of products and programs and planning integration and test events accordingly Providing mentoring, technical guidance, and coaching for less-experienced engineers Collaborating with SMEs to understand customer requirements and establishing test criteria Contributing to the adoption of new design and development approaches to improve overall quality, reliability and speed of implementation Responsible for several components of a project or a complex component of a larger project Compensation Range: $115,700-$150,500 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Skills and Experience: Bachelor's degree in an Engineering discipline, Computer Science, Physics or Mathematics. Master's degree is a plus. 15+ years in a technical environment, primarily in a Test Engineering role. Experience leading Developmental Test and Evaluation, Factory Acceptance Test (FAT), and Site Acceptance Testing (SAT) Proven background in Radar focused software and hardware system integration & test activities. Previously demonstrated leadership skills with cross functional experience. Experience with hands-on Radar Systems . Proven experience in functional and performance testing. Experience with C++ and Linux and/or digital hardware Experience in MATLAB for tool development/systems analysis. Understanding of the use of configuration management, quality assurance, requirement management systems, and automatic testing tools. Ability to independently and effectively interact with all stakeholders (internal/external) on technical issues. Experience with providing cost-effective estimates for schedule, labor, and equipment required to cover integration and test activities of the team. Understand the need for control, repeatability, and risk management and act accordingly and proactively. Excellent presentation skills to enable integration and test related material, and effectively communicate in a group environment. Ability to effectively multi-task and work well in a fast-paced environment. Attention to detail and an analytical eye for noticing inconsistencies and an innovative passion for reconciling them. Possess strong interpersonal and teamwork skills, must be able to interface respectfully with co-workers, customers, vendors, and subcontractors. Citizenship Requirements: Must be a U.S. citizen, Permanent Resident (green card holder), or protected individual as defined by 8 U.S.C. 1324b(a)(3). Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 19,000 talented people, Saab constantly pushes the boundaries of technology to create a safer, more sustainable and more equitable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in eight U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
Job Description: Saab, Inc. is seeking an experienced and motivated Systems Engineer to join our Systems Engineering team to work on complex electronic surveillance systems for commercial and government customers. This role is critical to successfully developing products and executing projects to achieve Saab's vision - It's a human right to feel safe. This position is located at our East Syracuse, NY, office. Responsibilities include: Technical development of radar and radar data processing software to support air traffic control in the airport surface environment throughout the world. Performing technical investigations for new feature development and change requests from both internal and external customers. Developing and maintaining specifications and technical documentation to support customer deliverables and internal systems engineering processes. Support field teams during rapid deployment of radar systems. Domestic and international travel may be required, less than 15% Compensation Range: $92,200-$115,300 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required: Bachelor's degree in Engineering, Physics, Mathematics, or related discipline 1-3 years of relevant experience in safety critical or mission critical industries (e.g., aerospace, defense/military, medical, transportation, nuclear, etc.) Familiarity with development of safety-critical software systems Strong interpersonal skills with the ability to form productive relationships in a team environment Experience with development of server software applications, particularly in Linux environments Experience with data processing and tool development using MATLAB Excellent written and oral communications skills Desired: Advanced degree in Engineering, Physics, Mathematics, or related discipline Experience with Eurocontrol, FAA, or other air traffic management procedures, operations, and systems Experience with radar systems, sensor data processing, position estimation, tracking, sensor fusion, and/or air traffic data processing Experience with networked computer systems and/or virtual machine environments Experience with cybersecurity, system hardening, and/or intrusion testing Citizenship Requirements: Must be a U.S. citizen, Permanent Resident (green card holder), or protected individual as defined by 8 U.S.C. 1324b(a)(3). Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 19,000 talented people, Saab constantly pushes the boundaries of technology to create a safer, more sustainable and more equitable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in eight U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
04/13/2026
Full time
Job Description: Saab, Inc. is seeking an experienced and motivated Systems Engineer to join our Systems Engineering team to work on complex electronic surveillance systems for commercial and government customers. This role is critical to successfully developing products and executing projects to achieve Saab's vision - It's a human right to feel safe. This position is located at our East Syracuse, NY, office. Responsibilities include: Technical development of radar and radar data processing software to support air traffic control in the airport surface environment throughout the world. Performing technical investigations for new feature development and change requests from both internal and external customers. Developing and maintaining specifications and technical documentation to support customer deliverables and internal systems engineering processes. Support field teams during rapid deployment of radar systems. Domestic and international travel may be required, less than 15% Compensation Range: $92,200-$115,300 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required: Bachelor's degree in Engineering, Physics, Mathematics, or related discipline 1-3 years of relevant experience in safety critical or mission critical industries (e.g., aerospace, defense/military, medical, transportation, nuclear, etc.) Familiarity with development of safety-critical software systems Strong interpersonal skills with the ability to form productive relationships in a team environment Experience with development of server software applications, particularly in Linux environments Experience with data processing and tool development using MATLAB Excellent written and oral communications skills Desired: Advanced degree in Engineering, Physics, Mathematics, or related discipline Experience with Eurocontrol, FAA, or other air traffic management procedures, operations, and systems Experience with radar systems, sensor data processing, position estimation, tracking, sensor fusion, and/or air traffic data processing Experience with networked computer systems and/or virtual machine environments Experience with cybersecurity, system hardening, and/or intrusion testing Citizenship Requirements: Must be a U.S. citizen, Permanent Resident (green card holder), or protected individual as defined by 8 U.S.C. 1324b(a)(3). Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 19,000 talented people, Saab constantly pushes the boundaries of technology to create a safer, more sustainable and more equitable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in eight U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Control Systems Analysis (Systems Engineer) Job Code: 34654 Job Location: Huntsville, Alabama Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The Missile Solutions Missile Propulsion sector is seeking an experienced Control Systems Analysis Engineer to join our Systems Engineering organization. This engineering role primarily involves modeling and analysis of multiple ongoing and future controllable solid propulsion / throttling solid rocket technology development programs. Essential Functions: Technical Scope: 90% Dynamic modeling and simulation, control algorithm design and development of propulsion systems Actuation system modeling and analysis Steady state and transient performance modeling and analysis Modeling and analysis in Matlab/Simulink and C/C++ Support development of rocket propulsion hardware and software requirements, including coordination of derivation of internal requirements allocation Support propulsion system testing, including test plan and test procedure development, pre-test predictions, integration of electronic test support equipment, and development of test-related software Support coordination with avionics and software engineering Perform test data analysis Mentoring and Training of early career team members Travel: 10% - Offsite testing as required. Ability to obtain a US Security Clearance. Qualifications : Bachelor's Degree and minimum 9 years of prior Control Systems Analysis experience; or a Graduate Degree and a minimum of 7 years of prior Control Systems Analysis experience; or in lieu of a degree, minimum of 13 years of prior Control Systems Analysis experience. Preferred Additional Skills: Bachelors' Degree in Aerospace, Electrical, Mechanical, Systems Engineering or related technical discipline is preferred. Active US Secret Security Clearance is preferred. Experience working in a classified environment. Expertise with Matlab/Simulink, C/C++, control theory, and propulsion theory is highly desired. Propulsion system experience (propulsion system controls, design, integration, testing). Experience in post-test data analysis. Demonstrated leadership competency and solid communication skills, in both verbal and written. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/13/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Control Systems Analysis (Systems Engineer) Job Code: 34654 Job Location: Huntsville, Alabama Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The Missile Solutions Missile Propulsion sector is seeking an experienced Control Systems Analysis Engineer to join our Systems Engineering organization. This engineering role primarily involves modeling and analysis of multiple ongoing and future controllable solid propulsion / throttling solid rocket technology development programs. Essential Functions: Technical Scope: 90% Dynamic modeling and simulation, control algorithm design and development of propulsion systems Actuation system modeling and analysis Steady state and transient performance modeling and analysis Modeling and analysis in Matlab/Simulink and C/C++ Support development of rocket propulsion hardware and software requirements, including coordination of derivation of internal requirements allocation Support propulsion system testing, including test plan and test procedure development, pre-test predictions, integration of electronic test support equipment, and development of test-related software Support coordination with avionics and software engineering Perform test data analysis Mentoring and Training of early career team members Travel: 10% - Offsite testing as required. Ability to obtain a US Security Clearance. Qualifications : Bachelor's Degree and minimum 9 years of prior Control Systems Analysis experience; or a Graduate Degree and a minimum of 7 years of prior Control Systems Analysis experience; or in lieu of a degree, minimum of 13 years of prior Control Systems Analysis experience. Preferred Additional Skills: Bachelors' Degree in Aerospace, Electrical, Mechanical, Systems Engineering or related technical discipline is preferred. Active US Secret Security Clearance is preferred. Experience working in a classified environment. Expertise with Matlab/Simulink, C/C++, control theory, and propulsion theory is highly desired. Propulsion system experience (propulsion system controls, design, integration, testing). Experience in post-test data analysis. Demonstrated leadership competency and solid communication skills, in both verbal and written. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Systems Engineering (Optical Systems Program Lead) Job Code: 35202 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants During its 120-year history, L3Harris has transformed communications and information technology. L3Harris is a proven leader in tactical communications, geospatial systems and services, air traffic management, environmental solutions, avionics and electronic warfare, and space and intelligence. From ocean to orbit and everywhere in between, we provide mission-critical solutions to connect, inform and protect the world. On the L3Harris team, your job is to secure the world. We don't work here just for the advanced technology and equipment: we work here because we know what - and who - we're protecting! From families to the intelligence community, and from our climate to our men and women in uniform - we're making the world a safer place! L3Harris Space Superiority group has an opening for a Lead, Systems Engineering Program Lead, to join our team of qualified, diverse individuals. This position will be in Wilmington, MA. The individual will work in a fast-paced environment with high expectations, significantly diverse assignments, and a collaborative team setting. The L3Harris Agile Systems Engineering department is seeking a systems engineer to join our team and support one of our newer programs. AgileEO specializes in space-based, small aperture visible and IR telescopes with integrated electromechanical devices used for motion and focus control. The successful candidate will support the program technical leads (Lead or Chief Systems Engineer, IPT Lead) by performing technical analysis, managing specifications, and generating design review and technical documents. Additional responsibilities include supporting the test and design verification, requirements sell off, end item data package (EIDP) generation efforts. Essential Functions: Lead and manage system tasking activities to ensure timely and effective completion. Manage priorities while balancing program demands to meet project objectives. Contribute to Program Management Reviews (QPMR/PMR/MOR) and present to internal and external customers. Lead risk management processes by identifying, assessing, and mitigating risks to ensure project success. Responsible for maintaining Risk Register. Responsible for Level 1 requirements sell-off and End Item Data Packages (EIDP). Offer input on Level 2 requirements sell-off and EIDP. Manage the completion and quality of Level 3 EIDP. Provide feedback for the release of Level 2 drawings and oversee the release of Level 3 drawings Contribute to Program Management Reviews (QPMR/PMR/MOR) and present to Provide training and mentoring to team members to promote skill development and knowledge continuity. Review SDRL to confirm they meet project requirements. Provide input and oversee SDRL as needed. Consult on Level 1 and Level 2 specifications. Manage the development and release of Level 3 specifications and SOW. Oversee the overall qualification process, ensuring all systems meet required standards and specifications. Participate in bi-weekly Technical Exchange Meetings (TEM) by providing insights and feedback. Contribute technical expertise and consultative recommendations as a member of the Engineering Review Boards (ERB). Provide input on Proposals, Basis of Estimates (BOE) and technical volumes for project proposals. Assist in resolving Non-Conformance Reports (NCR). Qualifications: Bachelor's Degree in Engineering, Physics, or other related scientific discipline and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience Candidate must have active Secret security clearance Prior or current professional experience with electro-optical design Prior or current professional experience with system integration processes and best practices Experience with systems engineering within space environment Preferred Additional Skills: Hold an active Secret or Top Secret/SCI clearance Prior or current professional experience with electronics, sensors, detectors, and imaging system Experience in leading technical teams, managing projects and competing priorities, and coordinating cross-functional engineering activities Experience as a Control Account Manager (CAM) and Integrated Product Team Lead (IPTL) Demonstrated experience with space systems engineering, including knowledge of space environments, satellite systems, and space mission design Familiarity with NASA-STD-1540 and/or NASA-STD-7002 Proficient in Model Based Systems Engineering (MBSE) and traditional systems engineering tools such as DOORs, JAMA, Cameo Systems Modeler, Magic Draw, JIRA, and SysML Excellent verbal and written communication skills, with the ability to clearly convey complex technical information to diverse audiences Strong analytical and problem-solving abilities, with a proven track record of tackling complex engineering challenges Ability to work effectively in a team environment and collaborate with multidisciplinary teams to achieve project goals Working knowledge of Microsoft Word, Excel, Visio, PowerPoint, and other relevant engineering and simulation software tools, such as MATLAB In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,500.00 - $236,500.00 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/13/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Systems Engineering (Optical Systems Program Lead) Job Code: 35202 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants During its 120-year history, L3Harris has transformed communications and information technology. L3Harris is a proven leader in tactical communications, geospatial systems and services, air traffic management, environmental solutions, avionics and electronic warfare, and space and intelligence. From ocean to orbit and everywhere in between, we provide mission-critical solutions to connect, inform and protect the world. On the L3Harris team, your job is to secure the world. We don't work here just for the advanced technology and equipment: we work here because we know what - and who - we're protecting! From families to the intelligence community, and from our climate to our men and women in uniform - we're making the world a safer place! L3Harris Space Superiority group has an opening for a Lead, Systems Engineering Program Lead, to join our team of qualified, diverse individuals. This position will be in Wilmington, MA. The individual will work in a fast-paced environment with high expectations, significantly diverse assignments, and a collaborative team setting. The L3Harris Agile Systems Engineering department is seeking a systems engineer to join our team and support one of our newer programs. AgileEO specializes in space-based, small aperture visible and IR telescopes with integrated electromechanical devices used for motion and focus control. The successful candidate will support the program technical leads (Lead or Chief Systems Engineer, IPT Lead) by performing technical analysis, managing specifications, and generating design review and technical documents. Additional responsibilities include supporting the test and design verification, requirements sell off, end item data package (EIDP) generation efforts. Essential Functions: Lead and manage system tasking activities to ensure timely and effective completion. Manage priorities while balancing program demands to meet project objectives. Contribute to Program Management Reviews (QPMR/PMR/MOR) and present to internal and external customers. Lead risk management processes by identifying, assessing, and mitigating risks to ensure project success. Responsible for maintaining Risk Register. Responsible for Level 1 requirements sell-off and End Item Data Packages (EIDP). Offer input on Level 2 requirements sell-off and EIDP. Manage the completion and quality of Level 3 EIDP. Provide feedback for the release of Level 2 drawings and oversee the release of Level 3 drawings Contribute to Program Management Reviews (QPMR/PMR/MOR) and present to Provide training and mentoring to team members to promote skill development and knowledge continuity. Review SDRL to confirm they meet project requirements. Provide input and oversee SDRL as needed. Consult on Level 1 and Level 2 specifications. Manage the development and release of Level 3 specifications and SOW. Oversee the overall qualification process, ensuring all systems meet required standards and specifications. Participate in bi-weekly Technical Exchange Meetings (TEM) by providing insights and feedback. Contribute technical expertise and consultative recommendations as a member of the Engineering Review Boards (ERB). Provide input on Proposals, Basis of Estimates (BOE) and technical volumes for project proposals. Assist in resolving Non-Conformance Reports (NCR). Qualifications: Bachelor's Degree in Engineering, Physics, or other related scientific discipline and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience Candidate must have active Secret security clearance Prior or current professional experience with electro-optical design Prior or current professional experience with system integration processes and best practices Experience with systems engineering within space environment Preferred Additional Skills: Hold an active Secret or Top Secret/SCI clearance Prior or current professional experience with electronics, sensors, detectors, and imaging system Experience in leading technical teams, managing projects and competing priorities, and coordinating cross-functional engineering activities Experience as a Control Account Manager (CAM) and Integrated Product Team Lead (IPTL) Demonstrated experience with space systems engineering, including knowledge of space environments, satellite systems, and space mission design Familiarity with NASA-STD-1540 and/or NASA-STD-7002 Proficient in Model Based Systems Engineering (MBSE) and traditional systems engineering tools such as DOORs, JAMA, Cameo Systems Modeler, Magic Draw, JIRA, and SysML Excellent verbal and written communication skills, with the ability to clearly convey complex technical information to diverse audiences Strong analytical and problem-solving abilities, with a proven track record of tackling complex engineering challenges Ability to work effectively in a team environment and collaborate with multidisciplinary teams to achieve project goals Working knowledge of Microsoft Word, Excel, Visio, PowerPoint, and other relevant engineering and simulation software tools, such as MATLAB In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,500.00 - $236,500.00 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning 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).
04/13/2026
Full time
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning 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).
04/13/2026
Full time
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning 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 Machine Learning Engineer, (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning 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).
04/13/2026
Full time
Senior Lead Machine Learning Engineer, (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning 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).
04/13/2026
Full time
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning 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 Machine Learning Engineer, (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning 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).
04/13/2026
Full time
Senior Lead Machine Learning Engineer, (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning 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).
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning 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).
04/13/2026
Full time
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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 Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 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. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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 Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning 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).
04/13/2026
Full time
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 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. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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 Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning 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).
04/13/2026
Full time
Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning 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 Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning 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).
04/13/2026
Full time
Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning 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).
