Job Description This is a frontline supervisor position that supports the FedEx Safety Above All Culture and manages specific day-to-day operations and an assigned staff. Responsible for ensuring safe and efficient package sortation through the management of Package Handlers. The Operations Supervisor may also manage administrative employees and functions and ensures administrative processes are compliant with FedEx policies and procedures and governmental regulations. ESSENTIAL FUNCTIONS Serves as a champion for FedEx's Safety Above All Culture and supports all related initiatives Management responsibilities include, but are not limited to: hiring, terminations, coaching, training, recognition and rewards, performance evaluation and management, discipline, addressing employee concerns and staff productivity Plans, organizes, staffs, directs and controls specific day-to-day operations Responsible for assigning and managing employees to ensure the safe and efficient sortation of packages through the facility, minimizing operational cost and maximizing operational quality, including the movement, tracking and administration of trailers (in conjunction with the linehaul department as applicable) Analyzes operational performance through direct observation, interpretation of reports and collaboration with others. Determines opportunities for improvement of key metrics and executes action plans to achieve results Leads daily employee and/or planning meetings to ensure workforce communication and understanding of operational updates and daily goals; Includes communication and public speaking to small and large audiences on a regular basis Participates in the development of and responsible for administering company employee relations strategies, including maintaining the confidentiality of such material and matters Participates in the development of and responsible for administering company safety strategies and programs Investigates, resolves and/or escalates customer service issues, as appropriate Responsible for training new employees regarding job duties and performance expectations and ensuring compliance with FXG policies, procedures and other training requirements, including but not limited to training related to quality assurance, SWAK, hazardous materials, Video Event Data Recorder (VEDR) coaching, and dock safety Mentors and develops critical skill sets for new and/or less-experienced Operations Supervisors Adapts quickly to change to meet dynamic business needs; Displays flexibility and appropriate sense of urgency, while leading and engaging employees in a positive and professional manner Performs other duties as assigned Minimum Education High school diploma or GED required; Bachelor's degree preferred. Minimum Experience Six (6) months experience required in the following areas: package handler at FedEx, fast-paced environment (retail, hospitality, fulfillment center, warehouse, dock, or stock room/stock functions), military experience with honorable discharge or supervisory experience. In lieu of experience, certification program or Associate's Degree in related area or 2+ years of college courses towards a degree Bachelor's Degree (preferred). Knowledge Skills and Abilities Ability to inspire a shared vision and empower and motivate a team Demonstrated ability to build professional rapport, effectively lead a team and positively influence diverse groups Proven ability to apply sound business judgment to establish and accomplish goals Verbal and written communication skills necessary to communicate with various audience levels and group sizes Ability to effectively provide employees instruction on process and practice Ability to read, interpret and draw conclusions from numerical data and written information Software skills, including use of Microsoft Office software and web-based applications Ability to maintain a working knowledge of relevant technology-based projects, including various devices and computer- based applications Ability to mentor, coach and act as a knowledge resource to other employees. Job Conditions May need to lift and carry up to 50 pounds May work in hot or cold temperatures May work in an environment with loud noise and fumes Minimal travel required Preferred Qualifications: Pay Transparency: Pay: $27.23 - $42.27 / hr Additional Details: Monday, Tuesday, Thursday, and Friday, 6:00pm - 4:30am Pay Transparency: The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the ranges for each level in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. In California, the compensation listed reflects the range or rate of pay reasonably expected for this posted position upon hire. In New Jersey, any compensable Security and Walk time will be paid to non-exempt/hourly employees at the state minimum wage. For details on our comprehensive benefits, click here. Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact . Applicants have rights under Federal Employment Laws: Know Your Rights Pay Transparency Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: E-Verify Notice (bilingual) Right to Work Notice (English) / (Spanish)
09/14/2026
Full time
Job Description This is a frontline supervisor position that supports the FedEx Safety Above All Culture and manages specific day-to-day operations and an assigned staff. Responsible for ensuring safe and efficient package sortation through the management of Package Handlers. The Operations Supervisor may also manage administrative employees and functions and ensures administrative processes are compliant with FedEx policies and procedures and governmental regulations. ESSENTIAL FUNCTIONS Serves as a champion for FedEx's Safety Above All Culture and supports all related initiatives Management responsibilities include, but are not limited to: hiring, terminations, coaching, training, recognition and rewards, performance evaluation and management, discipline, addressing employee concerns and staff productivity Plans, organizes, staffs, directs and controls specific day-to-day operations Responsible for assigning and managing employees to ensure the safe and efficient sortation of packages through the facility, minimizing operational cost and maximizing operational quality, including the movement, tracking and administration of trailers (in conjunction with the linehaul department as applicable) Analyzes operational performance through direct observation, interpretation of reports and collaboration with others. Determines opportunities for improvement of key metrics and executes action plans to achieve results Leads daily employee and/or planning meetings to ensure workforce communication and understanding of operational updates and daily goals; Includes communication and public speaking to small and large audiences on a regular basis Participates in the development of and responsible for administering company employee relations strategies, including maintaining the confidentiality of such material and matters Participates in the development of and responsible for administering company safety strategies and programs Investigates, resolves and/or escalates customer service issues, as appropriate Responsible for training new employees regarding job duties and performance expectations and ensuring compliance with FXG policies, procedures and other training requirements, including but not limited to training related to quality assurance, SWAK, hazardous materials, Video Event Data Recorder (VEDR) coaching, and dock safety Mentors and develops critical skill sets for new and/or less-experienced Operations Supervisors Adapts quickly to change to meet dynamic business needs; Displays flexibility and appropriate sense of urgency, while leading and engaging employees in a positive and professional manner Performs other duties as assigned Minimum Education High school diploma or GED required; Bachelor's degree preferred. Minimum Experience Six (6) months experience required in the following areas: package handler at FedEx, fast-paced environment (retail, hospitality, fulfillment center, warehouse, dock, or stock room/stock functions), military experience with honorable discharge or supervisory experience. In lieu of experience, certification program or Associate's Degree in related area or 2+ years of college courses towards a degree Bachelor's Degree (preferred). Knowledge Skills and Abilities Ability to inspire a shared vision and empower and motivate a team Demonstrated ability to build professional rapport, effectively lead a team and positively influence diverse groups Proven ability to apply sound business judgment to establish and accomplish goals Verbal and written communication skills necessary to communicate with various audience levels and group sizes Ability to effectively provide employees instruction on process and practice Ability to read, interpret and draw conclusions from numerical data and written information Software skills, including use of Microsoft Office software and web-based applications Ability to maintain a working knowledge of relevant technology-based projects, including various devices and computer- based applications Ability to mentor, coach and act as a knowledge resource to other employees. Job Conditions May need to lift and carry up to 50 pounds May work in hot or cold temperatures May work in an environment with loud noise and fumes Minimal travel required Preferred Qualifications: Pay Transparency: Pay: $27.23 - $42.27 / hr Additional Details: Monday, Tuesday, Thursday, and Friday, 6:00pm - 4:30am Pay Transparency: The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the ranges for each level in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. In California, the compensation listed reflects the range or rate of pay reasonably expected for this posted position upon hire. In New Jersey, any compensable Security and Walk time will be paid to non-exempt/hourly employees at the state minimum wage. For details on our comprehensive benefits, click here. Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact . Applicants have rights under Federal Employment Laws: Know Your Rights Pay Transparency Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: E-Verify Notice (bilingual) Right to Work Notice (English) / (Spanish)
Job Description This is a frontline supervisor position that supports the FedEx Safety Above All Culture and manages specific day-to-day operations and an assigned staff. Responsible for ensuring safe and efficient package sortation through the management of Package Handlers. The Operations Supervisor may also manage administrative employees and functions and ensures administrative processes are compliant with FedEx policies and procedures and governmental regulations. ESSENTIAL FUNCTIONS Serves as a champion for FedEx's Safety Above All Culture and supports all related initiatives Management responsibilities include, but are not limited to: hiring, terminations, coaching, training, recognition and rewards, performance evaluation and management, discipline, addressing employee concerns and staff productivity Plans, organizes, staffs, directs and controls specific day-to-day operations Responsible for assigning and managing employees to ensure the safe and efficient sortation of packages through the facility, minimizing operational cost and maximizing operational quality, including the movement, tracking and administration of trailers (in conjunction with the linehaul department as applicable) Analyzes operational performance through direct observation, interpretation of reports and collaboration with others. Determines opportunities for improvement of key metrics and executes action plans to achieve results Leads daily employee and/or planning meetings to ensure workforce communication and understanding of operational updates and daily goals; Includes communication and public speaking to small and large audiences on a regular basis Participates in the development of and responsible for administering company employee relations strategies, including maintaining the confidentiality of such material and matters Participates in the development of and responsible for administering company safety strategies and programs Investigates, resolves and/or escalates customer service issues, as appropriate Responsible for training new employees regarding job duties and performance expectations and ensuring compliance with FXG policies, procedures and other training requirements, including but not limited to training related to quality assurance, SWAK, hazardous materials, Video Event Data Recorder (VEDR) coaching, and dock safety Mentors and develops critical skill sets for new and/or less-experienced Operations Supervisors Adapts quickly to change to meet dynamic business needs; Displays flexibility and appropriate sense of urgency, while leading and engaging employees in a positive and professional manner Performs other duties as assigned Minimum Education High school diploma or GED required; Bachelor's degree preferred. Minimum Experience Six (6) months experience required in the following areas: package handler at FedEx, fast-paced environment (retail, hospitality, fulfillment center, warehouse, dock, or stock room/stock functions), military experience with honorable discharge or supervisory experience. In lieu of experience, certification program or Associate's Degree in related area or 2+ years of college courses towards a degree Bachelor's Degree (preferred). Knowledge Skills and Abilities Ability to inspire a shared vision and empower and motivate a team Demonstrated ability to build professional rapport, effectively lead a team and positively influence diverse groups Proven ability to apply sound business judgment to establish and accomplish goals Verbal and written communication skills necessary to communicate with various audience levels and group sizes Ability to effectively provide employees instruction on process and practice Ability to read, interpret and draw conclusions from numerical data and written information Software skills, including use of Microsoft Office software and web-based applications Ability to maintain a working knowledge of relevant technology-based projects, including various devices and computer- based applications Ability to mentor, coach and act as a knowledge resource to other employees. Job Conditions May need to lift and carry up to 50 pounds May work in hot or cold temperatures May work in an environment with loud noise and fumes Minimal travel required Preferred Qualifications: Pay Transparency: Pay: $27.23 - $42.27 / hr Additional Details: Monday, Tuesday, Thursday, and Friday, 6:00pm - 4:30am Pay Transparency: The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the ranges for each level in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. In California, the compensation listed reflects the range or rate of pay reasonably expected for this posted position upon hire. In New Jersey, any compensable Security and Walk time will be paid to non-exempt/hourly employees at the state minimum wage. For details on our comprehensive benefits, click here. Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact . Applicants have rights under Federal Employment Laws: Know Your Rights Pay Transparency Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: E-Verify Notice (bilingual) Right to Work Notice (English) / (Spanish)
09/14/2026
Full time
Job Description This is a frontline supervisor position that supports the FedEx Safety Above All Culture and manages specific day-to-day operations and an assigned staff. Responsible for ensuring safe and efficient package sortation through the management of Package Handlers. The Operations Supervisor may also manage administrative employees and functions and ensures administrative processes are compliant with FedEx policies and procedures and governmental regulations. ESSENTIAL FUNCTIONS Serves as a champion for FedEx's Safety Above All Culture and supports all related initiatives Management responsibilities include, but are not limited to: hiring, terminations, coaching, training, recognition and rewards, performance evaluation and management, discipline, addressing employee concerns and staff productivity Plans, organizes, staffs, directs and controls specific day-to-day operations Responsible for assigning and managing employees to ensure the safe and efficient sortation of packages through the facility, minimizing operational cost and maximizing operational quality, including the movement, tracking and administration of trailers (in conjunction with the linehaul department as applicable) Analyzes operational performance through direct observation, interpretation of reports and collaboration with others. Determines opportunities for improvement of key metrics and executes action plans to achieve results Leads daily employee and/or planning meetings to ensure workforce communication and understanding of operational updates and daily goals; Includes communication and public speaking to small and large audiences on a regular basis Participates in the development of and responsible for administering company employee relations strategies, including maintaining the confidentiality of such material and matters Participates in the development of and responsible for administering company safety strategies and programs Investigates, resolves and/or escalates customer service issues, as appropriate Responsible for training new employees regarding job duties and performance expectations and ensuring compliance with FXG policies, procedures and other training requirements, including but not limited to training related to quality assurance, SWAK, hazardous materials, Video Event Data Recorder (VEDR) coaching, and dock safety Mentors and develops critical skill sets for new and/or less-experienced Operations Supervisors Adapts quickly to change to meet dynamic business needs; Displays flexibility and appropriate sense of urgency, while leading and engaging employees in a positive and professional manner Performs other duties as assigned Minimum Education High school diploma or GED required; Bachelor's degree preferred. Minimum Experience Six (6) months experience required in the following areas: package handler at FedEx, fast-paced environment (retail, hospitality, fulfillment center, warehouse, dock, or stock room/stock functions), military experience with honorable discharge or supervisory experience. In lieu of experience, certification program or Associate's Degree in related area or 2+ years of college courses towards a degree Bachelor's Degree (preferred). Knowledge Skills and Abilities Ability to inspire a shared vision and empower and motivate a team Demonstrated ability to build professional rapport, effectively lead a team and positively influence diverse groups Proven ability to apply sound business judgment to establish and accomplish goals Verbal and written communication skills necessary to communicate with various audience levels and group sizes Ability to effectively provide employees instruction on process and practice Ability to read, interpret and draw conclusions from numerical data and written information Software skills, including use of Microsoft Office software and web-based applications Ability to maintain a working knowledge of relevant technology-based projects, including various devices and computer- based applications Ability to mentor, coach and act as a knowledge resource to other employees. Job Conditions May need to lift and carry up to 50 pounds May work in hot or cold temperatures May work in an environment with loud noise and fumes Minimal travel required Preferred Qualifications: Pay Transparency: Pay: $27.23 - $42.27 / hr Additional Details: Monday, Tuesday, Thursday, and Friday, 6:00pm - 4:30am Pay Transparency: The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the ranges for each level in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. In California, the compensation listed reflects the range or rate of pay reasonably expected for this posted position upon hire. In New Jersey, any compensable Security and Walk time will be paid to non-exempt/hourly employees at the state minimum wage. For details on our comprehensive benefits, click here. Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact . Applicants have rights under Federal Employment Laws: Know Your Rights Pay Transparency Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: E-Verify Notice (bilingual) Right to Work Notice (English) / (Spanish)
We're looking for people who put their innovation to work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. We're seeking a Business Development Manager to lead growth of the nVent CADDY Fire & Seismic business across the Southwest region, with a primary focus on Southern California. This is an opportunity to help grow one of nVent's key construction-focused product portfolios by working at the intersection of engineering, commercial construction, and business development. You'll play a meaningful role in expanding our presence across some of North America's most active construction markets while helping customers solve complex fire protection and seismic challenges. This posting is for one position supporting Southern CA, NV, AZ, UT, and TX. This is a fully remote, individual contributor role, with a preferred location in the Los Angeles, CA metro area and up to 60% overnight travel across the region. WHAT YOU WILL EXPERIENCE IN THIS POSITION: Grow assigned product categories by finding opportunities, managing the sales pipeline, and delivering regional growth. Partner with contractors, specifying engineers, manufacturers' representatives, and other project partners to influence project specifications and expand adoption of nVent CADDY solutions. Help customers evaluate seismic bracing applications, design approaches, and product solutions that support fire protection, mechanical, electrical, and data infrastructure systems. Deliver technical presentations, product demonstrations, and training to audiences ranging from field installers and project engineers to contractors and business owners. Support adoption of nVent's seismic design software and other tools that simplify design and installation. Gather customer feedback, competitor insights, and market trends to shape future products and growth strategies. Partner with product management, marketing, engineering, and sales teams to support new product introductions and market expansion initiatives. YOU HAVE: Bachelor's (B.A. or B.S.) degree required, with a preference for Engineering or another technical field. Ideally 5+ years of experience managing a sales territory or region in a technical sales, sales engineering, application engineering, business development, or related customer-facing role. Experience supporting commercial construction projects involving fire protection, mechanical, electrical, structural, or related building systems. Ability to communicate technical concepts with contractors, engineers, field personnel, business owners, and executive partners. Experience influencing project decisions and building customer confidence through technical expertise and consultative engagement. Familiarity with building codes, construction standards, and/or engineering specifications is preferred. Experience managing opportunities and customer activities through Salesforce or a similar CRM platform. Ability to travel up to 60% overnight throughout the region. WE HAVE: A dynamic global reach with diverse operations around the world that will stretch your abilities, provide plentiful career opportunities, and allow you to make an impact every day nVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation. Our principal office is in London and our management office in the United States is in Minneapolis. Our robust portfolio of leading electrical product brands dates back more than 100 years and includes nVent CADDY, ERICO, HOFFMAN, ILSCO, SCHROFF and TRACHTE. Learn more at . Commitment to strengthen communities where our employees live and work We encourage and support the philanthropic activities of our employees worldwide Through our nVent in Action matching program, we provide funds to nonprofit and educational organizations where our employees volunteer or donate money Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being: Innovative & adaptable Dedicated to absolute integrity Focused on the customer first Respectful and team oriented Optimistic and energizing Accountable for performance Benefits to support the lives of our employees Pay Transparency nVent's pay scale is based on the expected range of total target cash pay for this job and the employee's work location. Total target cash is comprised of an employee's base salary and sales incentive target opportunity, when annual sales goals are achieved. Employee pay within this range will be based on a combination of factors including knowledge, skills, abilities, experience, education, and performance. Where federal, state, or local minimum wage requirements exist, employee pay will comply. If annual sales performance exceeds annual sales goals, the total target cash received may exceed the pay scale maximum reflected below. Total Target Cash Range: Geographic Region A: $101,400.00 - $188,300.00 +Geographic Region B: $110,600.00 - $205,400.00 +Geographic Region C: $96,300.00 - $178,800.00 + Depending on the position offered, employee may be eligible for other forms of compensation, such as annual incentives. Benefit Overview At nVent, we value our people and their health and well-being. We provide a broad benefits package with meaningful programs for eligible full-time employees that includes: Medical, dental, and vision plans along with flexible spending accounts, short-term and long-term disability benefits, critical illness, accident insurance and life insurance. A 401(k) retirement plan and an employee stock purchase plan - both include a company match. Other supplemental benefits may include tuition reimbursement, caregiver, personal and parental leave, back-up care services, paid time off including volunteer time, a well-being program, and/or legal & identity theft protection. At nVent, we connect and protect our customers with inventive electrical solutions. People are our most valuable asset. Inclusion and diversity means that we celebrate and encourage each other's authenticity because we understand that uniqueness sparks growth.
09/14/2026
Full time
We're looking for people who put their innovation to work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. We're seeking a Business Development Manager to lead growth of the nVent CADDY Fire & Seismic business across the Southwest region, with a primary focus on Southern California. This is an opportunity to help grow one of nVent's key construction-focused product portfolios by working at the intersection of engineering, commercial construction, and business development. You'll play a meaningful role in expanding our presence across some of North America's most active construction markets while helping customers solve complex fire protection and seismic challenges. This posting is for one position supporting Southern CA, NV, AZ, UT, and TX. This is a fully remote, individual contributor role, with a preferred location in the Los Angeles, CA metro area and up to 60% overnight travel across the region. WHAT YOU WILL EXPERIENCE IN THIS POSITION: Grow assigned product categories by finding opportunities, managing the sales pipeline, and delivering regional growth. Partner with contractors, specifying engineers, manufacturers' representatives, and other project partners to influence project specifications and expand adoption of nVent CADDY solutions. Help customers evaluate seismic bracing applications, design approaches, and product solutions that support fire protection, mechanical, electrical, and data infrastructure systems. Deliver technical presentations, product demonstrations, and training to audiences ranging from field installers and project engineers to contractors and business owners. Support adoption of nVent's seismic design software and other tools that simplify design and installation. Gather customer feedback, competitor insights, and market trends to shape future products and growth strategies. Partner with product management, marketing, engineering, and sales teams to support new product introductions and market expansion initiatives. YOU HAVE: Bachelor's (B.A. or B.S.) degree required, with a preference for Engineering or another technical field. Ideally 5+ years of experience managing a sales territory or region in a technical sales, sales engineering, application engineering, business development, or related customer-facing role. Experience supporting commercial construction projects involving fire protection, mechanical, electrical, structural, or related building systems. Ability to communicate technical concepts with contractors, engineers, field personnel, business owners, and executive partners. Experience influencing project decisions and building customer confidence through technical expertise and consultative engagement. Familiarity with building codes, construction standards, and/or engineering specifications is preferred. Experience managing opportunities and customer activities through Salesforce or a similar CRM platform. Ability to travel up to 60% overnight throughout the region. WE HAVE: A dynamic global reach with diverse operations around the world that will stretch your abilities, provide plentiful career opportunities, and allow you to make an impact every day nVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation. Our principal office is in London and our management office in the United States is in Minneapolis. Our robust portfolio of leading electrical product brands dates back more than 100 years and includes nVent CADDY, ERICO, HOFFMAN, ILSCO, SCHROFF and TRACHTE. Learn more at . Commitment to strengthen communities where our employees live and work We encourage and support the philanthropic activities of our employees worldwide Through our nVent in Action matching program, we provide funds to nonprofit and educational organizations where our employees volunteer or donate money Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being: Innovative & adaptable Dedicated to absolute integrity Focused on the customer first Respectful and team oriented Optimistic and energizing Accountable for performance Benefits to support the lives of our employees Pay Transparency nVent's pay scale is based on the expected range of total target cash pay for this job and the employee's work location. Total target cash is comprised of an employee's base salary and sales incentive target opportunity, when annual sales goals are achieved. Employee pay within this range will be based on a combination of factors including knowledge, skills, abilities, experience, education, and performance. Where federal, state, or local minimum wage requirements exist, employee pay will comply. If annual sales performance exceeds annual sales goals, the total target cash received may exceed the pay scale maximum reflected below. Total Target Cash Range: Geographic Region A: $101,400.00 - $188,300.00 +Geographic Region B: $110,600.00 - $205,400.00 +Geographic Region C: $96,300.00 - $178,800.00 + Depending on the position offered, employee may be eligible for other forms of compensation, such as annual incentives. Benefit Overview At nVent, we value our people and their health and well-being. We provide a broad benefits package with meaningful programs for eligible full-time employees that includes: Medical, dental, and vision plans along with flexible spending accounts, short-term and long-term disability benefits, critical illness, accident insurance and life insurance. A 401(k) retirement plan and an employee stock purchase plan - both include a company match. Other supplemental benefits may include tuition reimbursement, caregiver, personal and parental leave, back-up care services, paid time off including volunteer time, a well-being program, and/or legal & identity theft protection. At nVent, we connect and protect our customers with inventive electrical solutions. People are our most valuable asset. Inclusion and diversity means that we celebrate and encourage each other's authenticity because we understand that uniqueness sparks growth.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Staff CORE Systems Engineer to join our team of qualified and diverse individuals and will require 100% on-site work. What You'll get to Do: As a senior member of the Foundational Systems Engineering Team, you will provide technical leadership to programs that transform concepts into fielded systems, driving cross discipline integration and balancing innovative and traditional implementations of systems thinking. You will lead major development efforts for sensors on current and next generation air and sea platforms for various programs. Lead the application and continuous improvement of systems engineering processes to develop solutions that meet and anticipate customer requirements. Own requirements management, including decomposition, allocation, verification, and validation, and ensure traceability across the system lifecycle. Lead the preparation, execution, and closure of major system design reviews (e.g., PDR, CDR, SVR, TRR, PCAs, FCAs), including technical issue resolution and risk retirement. Provide technical direction to cross functional product teams across multiple disciplines and domains to drive design compliance and integration. Serve as the technical authority to ensure system compliance with the program Statement of Work (SOW) and system requirements, identifying and resolving gaps and risks proactively. This position is contingent on contract award, the successful transfer of an active U.S Government Secret clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's degree with 12 years of experience, a Master's degree with 10 years of experience, or a PhD with 8 years of experience in Science, Technology, Engineering, Mathematics, or other related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S Government Secret Clearance. Ability to obtain Special Program Access (SAP). Experience in systems engineering, preferably in the aerospace or defense industries. Experience with system engineering design methods, including requirements analysis and flow-down, specification derivation, functional decomposition, and interface control documentation. Experience participating in major systems reviews, including SRR, SFR, PDR, CDR, etc. Experience working through the systems engineering process. Proficient with systems engineering tools such as DOORS, CAMEO, MATLAB, or comparable software. Preferred Qualifications: Advanced degrees in Science, Technology, Engineer, or Mathematics or other related technical fields. Active U.S Government Top Secret Clearance or higher with SAP Access and or SCI eligibility. Architecture, CONOPS, and use case development using model-based systems engineering (MBSE) methodologies. Experience effectively communicating and presenting complex technical concepts to project, program, and company management, other technical managers, and customers. Experience supporting an agile development team. Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $169,000.00 - $253,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/14/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Staff CORE Systems Engineer to join our team of qualified and diverse individuals and will require 100% on-site work. What You'll get to Do: As a senior member of the Foundational Systems Engineering Team, you will provide technical leadership to programs that transform concepts into fielded systems, driving cross discipline integration and balancing innovative and traditional implementations of systems thinking. You will lead major development efforts for sensors on current and next generation air and sea platforms for various programs. Lead the application and continuous improvement of systems engineering processes to develop solutions that meet and anticipate customer requirements. Own requirements management, including decomposition, allocation, verification, and validation, and ensure traceability across the system lifecycle. Lead the preparation, execution, and closure of major system design reviews (e.g., PDR, CDR, SVR, TRR, PCAs, FCAs), including technical issue resolution and risk retirement. Provide technical direction to cross functional product teams across multiple disciplines and domains to drive design compliance and integration. Serve as the technical authority to ensure system compliance with the program Statement of Work (SOW) and system requirements, identifying and resolving gaps and risks proactively. This position is contingent on contract award, the successful transfer of an active U.S Government Secret clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's degree with 12 years of experience, a Master's degree with 10 years of experience, or a PhD with 8 years of experience in Science, Technology, Engineering, Mathematics, or other related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S Government Secret Clearance. Ability to obtain Special Program Access (SAP). Experience in systems engineering, preferably in the aerospace or defense industries. Experience with system engineering design methods, including requirements analysis and flow-down, specification derivation, functional decomposition, and interface control documentation. Experience participating in major systems reviews, including SRR, SFR, PDR, CDR, etc. Experience working through the systems engineering process. Proficient with systems engineering tools such as DOORS, CAMEO, MATLAB, or comparable software. Preferred Qualifications: Advanced degrees in Science, Technology, Engineer, or Mathematics or other related technical fields. Active U.S Government Top Secret Clearance or higher with SAP Access and or SCI eligibility. Architecture, CONOPS, and use case development using model-based systems engineering (MBSE) methodologies. Experience effectively communicating and presenting complex technical concepts to project, program, and company management, other technical managers, and customers. Experience supporting an agile development team. Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $169,000.00 - $253,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
09/14/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
Job Description This is a frontline supervisor position that supports the FedEx Safety Above All Culture and manages specific day-to-day operations and an assigned staff. Responsible for ensuring safe and efficient package sortation through the management of Package Handlers. The Operations Supervisor may also manage administrative employees and functions and ensures administrative processes are compliant with FedEx policies and procedures and governmental regulations. ESSENTIAL FUNCTIONS Serves as a champion for FedEx's Safety Above All Culture and supports all related initiatives Management responsibilities include, but are not limited to: hiring, terminations, coaching, training, recognition and rewards, performance evaluation and management, discipline, addressing employee concerns and staff productivity Plans, organizes, staffs, directs and controls specific day-to-day operations Responsible for assigning and managing employees to ensure the safe and efficient sortation of packages through the facility, minimizing operational cost and maximizing operational quality, including the movement, tracking and administration of trailers (in conjunction with the linehaul department as applicable) Analyzes operational performance through direct observation, interpretation of reports and collaboration with others. Determines opportunities for improvement of key metrics and executes action plans to achieve results Leads daily employee and/or planning meetings to ensure workforce communication and understanding of operational updates and daily goals; Includes communication and public speaking to small and large audiences on a regular basis Participates in the development of and responsible for administering company employee relations strategies, including maintaining the confidentiality of such material and matters Participates in the development of and responsible for administering company safety strategies and programs Investigates, resolves and/or escalates customer service issues, as appropriate Responsible for training new employees regarding job duties and performance expectations and ensuring compliance with FXG policies, procedures and other training requirements, including but not limited to training related to quality assurance, SWAK, hazardous materials, Video Event Data Recorder (VEDR) coaching, and dock safety Mentors and develops critical skill sets for new and/or less-experienced Operations Supervisors Adapts quickly to change to meet dynamic business needs; Displays flexibility and appropriate sense of urgency, while leading and engaging employees in a positive and professional manner Performs other duties as assigned Minimum Education High school diploma or GED required; Bachelor's degree preferred. Minimum Experience Six (6) months experience required in the following areas: package handler at FedEx, fast-paced environment (retail, hospitality, fulfillment center, warehouse, dock, or stock room/stock functions), military experience with honorable discharge or supervisory experience. In lieu of experience, certification program or Associate's Degree in related area or 2+ years of college courses towards a degree Bachelor's Degree (preferred). Knowledge Skills and Abilities Ability to inspire a shared vision and empower and motivate a team Demonstrated ability to build professional rapport, effectively lead a team and positively influence diverse groups Proven ability to apply sound business judgment to establish and accomplish goals Verbal and written communication skills necessary to communicate with various audience levels and group sizes Ability to effectively provide employees instruction on process and practice Ability to read, interpret and draw conclusions from numerical data and written information Software skills, including use of Microsoft Office software and web-based applications Ability to maintain a working knowledge of relevant technology-based projects, including various devices and computer- based applications Ability to mentor, coach and act as a knowledge resource to other employees. Job Conditions May need to lift and carry up to 50 pounds May work in hot or cold temperatures May work in an environment with loud noise and fumes Minimal travel required Preferred Qualifications: Pay Transparency: Pay: $27.23 - $42.27 / hr Additional Details: Monday, Tuesday, Thursday, and Friday, 6:00pm - 4:30am Pay Transparency: The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the ranges for each level in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. In California, the compensation listed reflects the range or rate of pay reasonably expected for this posted position upon hire. In New Jersey, any compensable Security and Walk time will be paid to non-exempt/hourly employees at the state minimum wage. For details on our comprehensive benefits, click here . Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact . Applicants have rights under Federal Employment Laws: Know Your Rights Pay Transparency Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: E-Verify Notice (bilingual) Right to Work Notice (English) / (Spanish)
09/14/2026
Full time
Job Description This is a frontline supervisor position that supports the FedEx Safety Above All Culture and manages specific day-to-day operations and an assigned staff. Responsible for ensuring safe and efficient package sortation through the management of Package Handlers. The Operations Supervisor may also manage administrative employees and functions and ensures administrative processes are compliant with FedEx policies and procedures and governmental regulations. ESSENTIAL FUNCTIONS Serves as a champion for FedEx's Safety Above All Culture and supports all related initiatives Management responsibilities include, but are not limited to: hiring, terminations, coaching, training, recognition and rewards, performance evaluation and management, discipline, addressing employee concerns and staff productivity Plans, organizes, staffs, directs and controls specific day-to-day operations Responsible for assigning and managing employees to ensure the safe and efficient sortation of packages through the facility, minimizing operational cost and maximizing operational quality, including the movement, tracking and administration of trailers (in conjunction with the linehaul department as applicable) Analyzes operational performance through direct observation, interpretation of reports and collaboration with others. Determines opportunities for improvement of key metrics and executes action plans to achieve results Leads daily employee and/or planning meetings to ensure workforce communication and understanding of operational updates and daily goals; Includes communication and public speaking to small and large audiences on a regular basis Participates in the development of and responsible for administering company employee relations strategies, including maintaining the confidentiality of such material and matters Participates in the development of and responsible for administering company safety strategies and programs Investigates, resolves and/or escalates customer service issues, as appropriate Responsible for training new employees regarding job duties and performance expectations and ensuring compliance with FXG policies, procedures and other training requirements, including but not limited to training related to quality assurance, SWAK, hazardous materials, Video Event Data Recorder (VEDR) coaching, and dock safety Mentors and develops critical skill sets for new and/or less-experienced Operations Supervisors Adapts quickly to change to meet dynamic business needs; Displays flexibility and appropriate sense of urgency, while leading and engaging employees in a positive and professional manner Performs other duties as assigned Minimum Education High school diploma or GED required; Bachelor's degree preferred. Minimum Experience Six (6) months experience required in the following areas: package handler at FedEx, fast-paced environment (retail, hospitality, fulfillment center, warehouse, dock, or stock room/stock functions), military experience with honorable discharge or supervisory experience. In lieu of experience, certification program or Associate's Degree in related area or 2+ years of college courses towards a degree Bachelor's Degree (preferred). Knowledge Skills and Abilities Ability to inspire a shared vision and empower and motivate a team Demonstrated ability to build professional rapport, effectively lead a team and positively influence diverse groups Proven ability to apply sound business judgment to establish and accomplish goals Verbal and written communication skills necessary to communicate with various audience levels and group sizes Ability to effectively provide employees instruction on process and practice Ability to read, interpret and draw conclusions from numerical data and written information Software skills, including use of Microsoft Office software and web-based applications Ability to maintain a working knowledge of relevant technology-based projects, including various devices and computer- based applications Ability to mentor, coach and act as a knowledge resource to other employees. Job Conditions May need to lift and carry up to 50 pounds May work in hot or cold temperatures May work in an environment with loud noise and fumes Minimal travel required Preferred Qualifications: Pay Transparency: Pay: $27.23 - $42.27 / hr Additional Details: Monday, Tuesday, Thursday, and Friday, 6:00pm - 4:30am Pay Transparency: The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the ranges for each level in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. In California, the compensation listed reflects the range or rate of pay reasonably expected for this posted position upon hire. In New Jersey, any compensable Security and Walk time will be paid to non-exempt/hourly employees at the state minimum wage. For details on our comprehensive benefits, click here . Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact . Applicants have rights under Federal Employment Laws: Know Your Rights Pay Transparency Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: E-Verify Notice (bilingual) Right to Work Notice (English) / (Spanish)
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. SkillBridge Program Description: As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander ( first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of program. Before Applying IMPORTANT - Please SkillBridge Prescreen by Joining the Military / Veteran Talent Network Job Description: Northrop Grumman Mission Systems is a trusted provider of mission-enabling solutions for global security. Our Engineering and Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission! We at Northrop Grumman Missions Systems are seeking a skilled Systems Engineer for Integration & Test in Woodland Hills, CA. Our success is grounded in our ability to embrace change, move quickly and continuously drive innovation. The successful candidate will be collaborative, open, transparent, and team-oriented with a focus on team empowerment & shared responsibility, flexibility, continuous learning, and a culture of automation. This requisition may be filled at a higher grade based on qualifications listed below This requisition may be filled at either the base or a Principal Level. What You'll get to Do: Synthesize customer contractual needs and requirements into system test solutions that acknowledges technical, schedule and cost constraints. Develop and direct preparation and execution of comprehensive test plans, procedures, and schedules for complete systems. This includes designing a formal qualification strategy to qualify new system designs utilizing Microsoft Word, Excel, DOORS. Using scripting knowledge to develop test scripts to automate test campaigns. Coordinate integrated testing activities. Review and evaluate test requirements to ensure completeness of test program. Perform technical analysis of complete systems and prepares comprehensive system level evaluations. Assess performance of Navigation Systems and Mission Computers by analyzing data using MATLAB or similar software. Basic Qualifications for an Integration and Test Systems Engineer are: Bachelor's Degree in a STEM discipline from an accredited university with 2 years of related test experience, or a Master's Degree in a STEM discipline from an accredited university. Analytical coding experience MATLAB experience Systems engineering background and/or mindset Test plan/procedure/execution experience Ability to obtain and maintain an active US Government Secret Level security clearance. US Citizenship Ability to work onsite full-time in Woodland Hills, CA Basic Qualifications for a Principal Integration and Test Systems Engineer are: Bachelor's Degree in a STEM discipline from an accredited university with 5 years of related test experience, or a Master's Degree in a STEM discipline from an accredited university with 3 years of related test experience. Analytical coding experience MATLAB experience Systems engineering background and/or mindset Requirements analysis experience Mentoring/teaching Familiarity with testing embedded software on target hardware Ability to obtain and maintain an active US Government Secret Level security clearance. US Citizenship Ability to work onsite full-time in Woodland Hills, CA Preferred Qualifications: Active US Government Secret Level security clearance. Experience integrating embedded GPS Inertial Navigation Systems. Expert experience with GNSS/INS/EGI systems and precision navigation simulation. Highly organized, detail-oriented, and able to manage multiple, shifting priorities while maintaining safety standards. Experience engaging external customers through meetings, presentations, and technical negotiations. Systems engineering background with verification Primary Level Salary Range: $91,800.00 - $137,600.00 Secondary Level Salary Range: $114,000.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S . click apply for full job details
09/14/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. SkillBridge Program Description: As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander ( first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of program. Before Applying IMPORTANT - Please SkillBridge Prescreen by Joining the Military / Veteran Talent Network Job Description: Northrop Grumman Mission Systems is a trusted provider of mission-enabling solutions for global security. Our Engineering and Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission! We at Northrop Grumman Missions Systems are seeking a skilled Systems Engineer for Integration & Test in Woodland Hills, CA. Our success is grounded in our ability to embrace change, move quickly and continuously drive innovation. The successful candidate will be collaborative, open, transparent, and team-oriented with a focus on team empowerment & shared responsibility, flexibility, continuous learning, and a culture of automation. This requisition may be filled at a higher grade based on qualifications listed below This requisition may be filled at either the base or a Principal Level. What You'll get to Do: Synthesize customer contractual needs and requirements into system test solutions that acknowledges technical, schedule and cost constraints. Develop and direct preparation and execution of comprehensive test plans, procedures, and schedules for complete systems. This includes designing a formal qualification strategy to qualify new system designs utilizing Microsoft Word, Excel, DOORS. Using scripting knowledge to develop test scripts to automate test campaigns. Coordinate integrated testing activities. Review and evaluate test requirements to ensure completeness of test program. Perform technical analysis of complete systems and prepares comprehensive system level evaluations. Assess performance of Navigation Systems and Mission Computers by analyzing data using MATLAB or similar software. Basic Qualifications for an Integration and Test Systems Engineer are: Bachelor's Degree in a STEM discipline from an accredited university with 2 years of related test experience, or a Master's Degree in a STEM discipline from an accredited university. Analytical coding experience MATLAB experience Systems engineering background and/or mindset Test plan/procedure/execution experience Ability to obtain and maintain an active US Government Secret Level security clearance. US Citizenship Ability to work onsite full-time in Woodland Hills, CA Basic Qualifications for a Principal Integration and Test Systems Engineer are: Bachelor's Degree in a STEM discipline from an accredited university with 5 years of related test experience, or a Master's Degree in a STEM discipline from an accredited university with 3 years of related test experience. Analytical coding experience MATLAB experience Systems engineering background and/or mindset Requirements analysis experience Mentoring/teaching Familiarity with testing embedded software on target hardware Ability to obtain and maintain an active US Government Secret Level security clearance. US Citizenship Ability to work onsite full-time in Woodland Hills, CA Preferred Qualifications: Active US Government Secret Level security clearance. Experience integrating embedded GPS Inertial Navigation Systems. Expert experience with GNSS/INS/EGI systems and precision navigation simulation. Highly organized, detail-oriented, and able to manage multiple, shifting priorities while maintaining safety standards. Experience engaging external customers through meetings, presentations, and technical negotiations. Systems engineering background with verification Primary Level Salary Range: $91,800.00 - $137,600.00 Secondary Level Salary Range: $114,000.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S . click apply for full job details
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Staff CORE Systems Engineer to join our team of qualified and diverse individuals and will require 100% on-site work. What You'll get to Do: As a senior member of the Foundational Systems Engineering Team, you will provide technical leadership to programs that transform concepts into fielded systems, driving cross discipline integration and balancing innovative and traditional implementations of systems thinking. You will lead major development efforts for sensors on current and next generation air and sea platforms for various programs. Lead the application and continuous improvement of systems engineering processes to develop solutions that meet and anticipate customer requirements. Own requirements management, including decomposition, allocation, verification, and validation, and ensure traceability across the system lifecycle. Lead the preparation, execution, and closure of major system design reviews (e.g., PDR, CDR, SVR, TRR, PCAs, FCAs), including technical issue resolution and risk retirement. Provide technical direction to cross functional product teams across multiple disciplines and domains to drive design compliance and integration. Serve as the technical authority to ensure system compliance with the program Statement of Work (SOW) and system requirements, identifying and resolving gaps and risks proactively. This position is contingent on contract award, the successful transfer of an active U.S Government Secret clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's degree with 12 years of experience, a Master's degree with 10 years of experience, or a PhD with 8 years of experience in Science, Technology, Engineering, Mathematics, or other related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S Government Secret Clearance. Ability to obtain Special Program Access (SAP). Experience in systems engineering, preferably in the aerospace or defense industries. Experience with system engineering design methods, including requirements analysis and flow-down, specification derivation, functional decomposition, and interface control documentation. Experience participating in major systems reviews, including SRR, SFR, PDR, CDR, etc. Experience working through the systems engineering process. Proficient with systems engineering tools such as DOORS, CAMEO, MATLAB, or comparable software. Preferred Qualifications: Advanced degrees in Science, Technology, Engineer, or Mathematics or other related technical fields. Active U.S Government Top Secret Clearance or higher with SAP Access and or SCI eligibility. Architecture, CONOPS, and use case development using model-based systems engineering (MBSE) methodologies. Experience effectively communicating and presenting complex technical concepts to project, program, and company management, other technical managers, and customers. Experience supporting an agile development team. Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $169,000.00 - $253,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/14/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Staff CORE Systems Engineer to join our team of qualified and diverse individuals and will require 100% on-site work. What You'll get to Do: As a senior member of the Foundational Systems Engineering Team, you will provide technical leadership to programs that transform concepts into fielded systems, driving cross discipline integration and balancing innovative and traditional implementations of systems thinking. You will lead major development efforts for sensors on current and next generation air and sea platforms for various programs. Lead the application and continuous improvement of systems engineering processes to develop solutions that meet and anticipate customer requirements. Own requirements management, including decomposition, allocation, verification, and validation, and ensure traceability across the system lifecycle. Lead the preparation, execution, and closure of major system design reviews (e.g., PDR, CDR, SVR, TRR, PCAs, FCAs), including technical issue resolution and risk retirement. Provide technical direction to cross functional product teams across multiple disciplines and domains to drive design compliance and integration. Serve as the technical authority to ensure system compliance with the program Statement of Work (SOW) and system requirements, identifying and resolving gaps and risks proactively. This position is contingent on contract award, the successful transfer of an active U.S Government Secret clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's degree with 12 years of experience, a Master's degree with 10 years of experience, or a PhD with 8 years of experience in Science, Technology, Engineering, Mathematics, or other related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S Government Secret Clearance. Ability to obtain Special Program Access (SAP). Experience in systems engineering, preferably in the aerospace or defense industries. Experience with system engineering design methods, including requirements analysis and flow-down, specification derivation, functional decomposition, and interface control documentation. Experience participating in major systems reviews, including SRR, SFR, PDR, CDR, etc. Experience working through the systems engineering process. Proficient with systems engineering tools such as DOORS, CAMEO, MATLAB, or comparable software. Preferred Qualifications: Advanced degrees in Science, Technology, Engineer, or Mathematics or other related technical fields. Active U.S Government Top Secret Clearance or higher with SAP Access and or SCI eligibility. Architecture, CONOPS, and use case development using model-based systems engineering (MBSE) methodologies. Experience effectively communicating and presenting complex technical concepts to project, program, and company management, other technical managers, and customers. Experience supporting an agile development team. Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $169,000.00 - $253,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
09/14/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
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 Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington 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: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analysis 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-five thousand dollars per year.
09/14/2026
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 Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington 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: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analysis 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-five thousand dollars per year.
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
09/14/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
Senior 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: 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: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 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 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored or 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any 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 New York, NY: $176,500 - $201,400 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).
09/14/2026
Full time
Senior 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: 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: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 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 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored or 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any 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 New York, NY: $176,500 - $201,400 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).
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, 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 Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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).
09/14/2026
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, 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 Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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 Job Description 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: 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/14/2026
Full time
Sr Lead Machine Learning Engineer Job Description 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: 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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 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 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 New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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).
09/14/2026
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, 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 Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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 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: 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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 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).
09/14/2026
Full time
Sr. 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: 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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 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).
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, 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 Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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).
09/14/2026
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, 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 Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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 (Python, AWS, SQL, GenAI) (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. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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 Plano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Francisco, 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).
09/14/2026
Full time
Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (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. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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 Plano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Francisco, 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 - 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: 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any 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).
09/14/2026
Full time
Lead 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: 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any 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).
Lead 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: 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any 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).
09/14/2026
Full time
Lead 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: 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any 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).
