843 jobs found

Job Description Industry: Consumer Products / Cosmetics Job Category: HR Management - HR Information Systems This role is critical to configuring and developing Global Total Rewards and Recognition in our Technology ecosystem. The incumbent would be responsible for stakeholder management, business liaisons, understanding the business processes and functional requirements, translating that into technical specifications, designing the solution and development and ongoing maintenance for these applications in Human Resources in Colgate. The role empowers the candidate to lead and run these projects in a timely manner and execute smoothly with high quality. The person will be required to collaborate with business teams/HR Ops Teams, SAP SuccessFactors, technical teams, consultants and IT counterparts for project activities across all geographies. We are a very hands-on company so we expect high technical proficiency and a can-do mindset for our solutions team. This position is based out of the Piscataway, NJ location. Work visa sponsorship is not available for this position. What you'll do: Drive the technologies that enable Compensation in SAP Success factors along with Employee Central. Oversee and contribute to the development of HR technology, and execute the objectives catering to Rewards and Recognitions Programs in a high growth environment. Execute the implementation and support of HR systems with the goal of leveraging technology to improve overall HR efficiency and business productivity, focus on the use of AI and automation to drive these efficiencies. Conduct Security and Architecture reviews: work with HR Total Rewards and Benefits team, HR Vendors, Internal Security and Architecture teams to facilitate design reviews for new development. Lead project management with offshore development centers, consultants and software vendors to develop and implement systems in the core areas of Compensation, Recognition, Stocks Awards and Variable Pay Collaborate and coordinate project activities with the various Centers of Excellence in HR and HR Operations teams on HR processes in Total Rewards and Benefits Maintain standards of system performance & reliability by following procedures, analyzing root causes & addressing continuous improvement opportunities Adhere to global governance, project activities, documentation and all necessary SOX and compliance requirements for internal and external audit and governance Independently connect with business to understand the requirement and recommend a suitable solution Function as central coordinator and lead developer, balancing priorities for the areas of responsibility, working with our team in India, tracking SLA progress against plans Stay updated with the latest technological advancements and changes in the world of SAP Success factors development and other technologies. Adapt to these changes by self-training and research and implement in our environment within project guardrails Required Qualifications Bachelor's degree in Engineering or Science 5+ years of relevant experience. In depth knowledge of SuccessFactors mainly in the area of Employee Central HR Management and HR Information System Hands on in configuration and development Preferred Qualifications Knowledge of HR business processes, with SuccessFactors certification (preferably in Compensation and/or Variable Pay) Experience with Business Rules configuration and exposure to CPI PMP certification Flexibility and adaptability to new technologies, along with strong oral and written communication skills. Strong problem-solving skills with the ability to identify, analyze, and logically resolve issues, including troubleshooting to identify root causes. Security Clearance Required: No Visa Candidate Considered: No Full-time Benefits - Full Relocation Assistance Available - No Commission Compensation - No Bonus Eligible - No Overtime Eligible - No Interview Travel Reimbursed - No Candidate Details Seniority Level - Mid-Senior Management Experience Required - No Minimum Education - Bachelor's Degree Willingness to Travel - Occasionally

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 Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

Program Coordinator Senior - Permit Technician Arizona State University Campus: Tempe JR118522 End Date: April 13, 2026 Apply before 11:59 PM Arizona time the day before the posted End Date. Minimum Qualifications: Bachelor's degree and three (3) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved. Job Profile Summary: Supports and instructs those served by the department with routine to intermediate queries, applies fundamental knowledge of multiple standards, policies and procedures, and maintains accurate and detailed records. Job Description: Salary range $51,500 - $56,500 per year, commensurate of experience and education. ASU offers a comprehensive benefits package with the State of Arizona. The Program Coordinator Senior - Permit Technician provides pivotal support for the Office of the University Architect - Development Services facilitating a range of essential functions to ensure the efficient operation and organization of the department. This position serves as a primary point of contact for vital systems in the construction permitting and inspections area. Responsibilities include independent completion of technical, administrative and clerical support tasks with limited oversight. Essential Duties Read and interpret construction plans and related documents Manage the intake and processing of construction permit applications including performing initial quality control review for minimum submittal requirements Use permit tracking systems to input data, monitor workflows, track projects and maintain records Serve as a primary point of contact for customer service inquiries regarding construction permitting and inspection processes Establish and maintain effective working relationships with internal and external organizational representatives involved in the construction permitting and inspection process Improve processes by updating or creating new Workflows Conduct permit system onboarding and offboarding of users and their allowed access Maintain active professional memberships for the department and staff Coordinate multiple tasks simultaneously and autonomously with a dynamic team of professionals Regular review of completed tasks Work both independently or within a complex structured team Exercises judgment within generally designed practices and policies in selecting methods and techniques for obtaining solutions Use ability to clearly communicate to perform essential functions Perform other related duties as assigned Other Duties May train staff and/or provide oversight support for student workers Maintain and update document-tracking systems using an internal database Create and update record keeping systems, databases, and spreadsheets Assist with various reporting and metrics Prepare, and keep current, departmental desktop manuals Handle multiple priority activities requiring considerable coordination and follow-through to meet requirements Provide support to team members as needed to ensure continual efficient operations of the department are met DAYS AND SCHEDULE: Monday - Friday, 8:00 am - 5:00 pm This position is located at the Tempe campus and may require working from other campuses depending on operational needs. Desired Qualifications Evidence of: (ICC) International Code Council Certification as a Permit Technician 2+ years working in a municipal or university building department or equivalent construction industry or regulatory agency Experience in: Reading and interpreting construction plans, site plans Serving customers by providing one-on-one customer assistance, building relationships across organizational groups, and utilizing active listening and problem-solving skills Managing or administering data systems or applications such as ASU Analytics, Tableau Server, Smartsheet, Adobe Sign, DocuSign, Dropbox, or any other information system. Coordinating and maintaining system access for shared drives and other reporting applications. Composing professional correspondence and reports Handling multiple priority activities requiring considerable coordination and follow-through to meet requirements Demonstrating a high level of accuracy and attention to detail Using sound judgment to discern similarities in non-standard technical data Using computer software; specifically with Microsoft Office applications (e.g. Word, Excel, PowerPoint, Outlook) and Google Workspace suite (e.g. Docs, Sheets, Drive, Forms) Familiarity with GIS databases and maps Evidence of effective communication skills Working Environment Activities are primarily performed in a regular, climate-controlled office setting subject to extended periods of standing/sitting for varying lengths of time and travel moderate distances to perform work Regular use of standard office equipment including, but not limited to computer workstation/laptop (keyboard, monitor, mouse), printer, calculator, copier, telephone and associated computer/technology peripherals Bending, stooping, reaching and lifting up to 20 pounds Drive University vehicles/and or carts Department Statement: What's in it for you? Looking for an employer that offers you solid growth opportunities, as well as an culture and work/life balance? ASU offers the following: Flexible work schedules 22 days of accrued vacation leave, 12 days of accrued sick leave and 10 paid holidays annually for all staff. Tuition Reduction Program for staff members, their spouses, and dependents, available on day one. For more information visit 12 weeks of paid parental leave following the birth or adoption of a child Affordable benefits package including dental, vision, and life insurance benefits. More information available at Retirement program designed to promote long-term savings and provide income upon retirement which includes Arizona State Retirement System (ASRS) Paid time for volunteer and professional development Wellness program for preventative health education and screenings Disability and leave program for income protection Free and confidential Employee Assistance services, helping to manage personal difficulties or life challenges ASU Discounts to sports/events along with discounts with ASU partnerships ASU Facilities Development and Management (FDM) maintains and services all university-owned property and develops and constructs innovative and sustainable facilities. FDM's vision is to contribute to and guarantee the success of the university's mission by creating and caring for the ASU campus and environment. We provide quality customer service, effectively steward our resources, and meet the needs of the university through creative and collaborative efforts. Facilities Development and Management at ASU employment requires current eligibility to legally work in the United States. Facilities Development and Management will not be a sponsor for this position. This position is located at the Tempe campus, Tempe, AZ (on Rural Road south of Apache Blvd) and may require working from other campuses depending on operational needs. Must possess a valid Arizona driver's license (minimum of Class D) upon employment and maintain throughout employment. Post-offer of employment, selected candidate must possess an acceptable driving record which is 5 or fewer points in the most recent 39-month period from date of hire. This position is considered safety/security sensitive and will include a fingerprint check. Employment is contingent upon successful passing of all background, including fingerprint checks Driving Requirement: This position may require driving. Employee must possess a valid US Driver's license of the appropriate class and required endorsements throughout employment. Instructions to Apply: Current employees, student workers seeking staff opportunities, and students applying for student worker positions must apply directly through the Workday Jobs Hub. Please use the link below to log in using single sign-on. $9925/9925$19282.htmld To be considered, your application must include all of the following attachments: Cover letter Resume or CV Multiple documents may be uploaded in the attachments section. Alternatively, applicants may combine all required materials into a single PDF for submission. Please ensure uploaded documents are clearly labeled and include your name. Please ensure your resume includes all employment information in month and year format, for example 6/04 to 8/14, along with job title, job duties, and employer name for each position. Your resume should clearly demonstrate how your experience and background meet the minimum and desired qualifications for this position. Incomplete applications or missing required materials may not be considered. Important: Do not withdraw your application to make edits. Once an application is withdrawn, it cannot be edited, reactivated, or replaced with a new submission. If you have questions or need assistance, please contact HR Talent Acquisition before the posting close date to request edits. Graduate Assistant, Intern and part-time positions are counted as half time for experience equivalency, meaning one year equals six months of experience. Only electronic applications will be accepted for this position. By submitting an application, you confirm that the information provided is accurate and complete. ASU Statement: Arizona State University is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access. This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves . click apply for full job details

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job ID: 712837BR Date posted: Apr. 08, 2026 Description:This position is participating in our External Referral Program. If you know somebody who may be a fit, click here to submit a referral. If your referral is hired, you'll receive a $3,000 payment! code-extrefer WHAT WE'RE DOING Lockheed Martin, Rotary Mission Systems Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. THE WORK In this role you will: • Analyze user requirements to derive software design and performance requirements • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Write or review software and system documentation • Serve as team lead at the level appropriate to the software development process being used on any particular project • Design or implement complex database or data repository interfaces/queries • Develop or implement algorithms to meet or exceed system performance and functional standards • Assist with developing and executing test procedures for software components • Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas • Modify existing software to correct errors, to adapt to new hardware, or to improve its performance • Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design • Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints; Perform quality control on team products • Implement recommendations for improving documentation and software development process standards • Coordinate software system installation and monitor equipment functioning to ensure operational specifications are met WHO WE ARE The program is on fire for cyber. In support of our customer, members of the team are responsible for providing full lifecycle support including analysis, design, development, integration, testing, procurement, deployment, security, training and sustainment for collection and antenna systems. WHY JOIN US In this role you will have the opportunity to safeguard vital national security systems while advancing cutting edge cyber defense technologies. Our benefits are built to match the caliber of your work. Reliable, high-performing, and mission-ready. You'll enjoy world class resources, mentorship, continuous learning, competitive compensation, comprehensive benefits, and a supportive work life balance-all within a culture that values innovation, integrity, and collaboration. This position is participating in our External Referral Program. If you know somebody who may be a fit, click here to submit a referral. If your referral is hired, you'll receive a $3000 payment! Code extrefer. Basic Qualifications: • Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree Candidate must possess active security clearance with a polygraph. Desired Skills: • C++ • Python • Kubernetes Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Software Engineering Type: Task Order/IDIQ Shift: First

Job ID: 712837BR Date posted: Apr. 08, 2026 Description:This position is participating in our External Referral Program. If you know somebody who may be a fit, click here to submit a referral. If your referral is hired, you'll receive a $3,000 payment! code-extrefer WHAT WE'RE DOING Lockheed Martin, Rotary Mission Systems Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. THE WORK In this role you will: • Analyze user requirements to derive software design and performance requirements • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Write or review software and system documentation • Serve as team lead at the level appropriate to the software development process being used on any particular project • Design or implement complex database or data repository interfaces/queries • Develop or implement algorithms to meet or exceed system performance and functional standards • Assist with developing and executing test procedures for software components • Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas • Modify existing software to correct errors, to adapt to new hardware, or to improve its performance • Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design • Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints; Perform quality control on team products • Implement recommendations for improving documentation and software development process standards • Coordinate software system installation and monitor equipment functioning to ensure operational specifications are met WHO WE ARE The program is on fire for cyber. In support of our customer, members of the team are responsible for providing full lifecycle support including analysis, design, development, integration, testing, procurement, deployment, security, training and sustainment for collection and antenna systems. WHY JOIN US In this role you will have the opportunity to safeguard vital national security systems while advancing cutting edge cyber defense technologies. Our benefits are built to match the caliber of your work. Reliable, high-performing, and mission-ready. You'll enjoy world class resources, mentorship, continuous learning, competitive compensation, comprehensive benefits, and a supportive work life balance-all within a culture that values innovation, integrity, and collaboration. This position is participating in our External Referral Program. If you know somebody who may be a fit, click here to submit a referral. If your referral is hired, you'll receive a $3000 payment! Code extrefer. Basic Qualifications: • Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree Candidate must possess active security clearance with a polygraph. Desired Skills: • C++ • Python • Kubernetes Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Software Engineering Type: Task Order/IDIQ Shift: First

Job ID: 712837BR Date posted: Apr. 08, 2026 Description:This position is participating in our External Referral Program. If you know somebody who may be a fit, click here to submit a referral. If your referral is hired, you'll receive a $3,000 payment! code-extrefer WHAT WE'RE DOING Lockheed Martin, Rotary Mission Systems Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. THE WORK In this role you will: • Analyze user requirements to derive software design and performance requirements • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Write or review software and system documentation • Serve as team lead at the level appropriate to the software development process being used on any particular project • Design or implement complex database or data repository interfaces/queries • Develop or implement algorithms to meet or exceed system performance and functional standards • Assist with developing and executing test procedures for software components • Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas • Modify existing software to correct errors, to adapt to new hardware, or to improve its performance • Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design • Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints; Perform quality control on team products • Implement recommendations for improving documentation and software development process standards • Coordinate software system installation and monitor equipment functioning to ensure operational specifications are met WHO WE ARE The program is on fire for cyber. In support of our customer, members of the team are responsible for providing full lifecycle support including analysis, design, development, integration, testing, procurement, deployment, security, training and sustainment for collection and antenna systems. WHY JOIN US In this role you will have the opportunity to safeguard vital national security systems while advancing cutting edge cyber defense technologies. Our benefits are built to match the caliber of your work. Reliable, high-performing, and mission-ready. You'll enjoy world class resources, mentorship, continuous learning, competitive compensation, comprehensive benefits, and a supportive work life balance-all within a culture that values innovation, integrity, and collaboration. This position is participating in our External Referral Program. If you know somebody who may be a fit, click here to submit a referral. If your referral is hired, you'll receive a $3000 payment! Code extrefer. Basic Qualifications: • Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree Candidate must possess active security clearance with a polygraph. Desired Skills: • C++ • Python • Kubernetes Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Software Engineering Type: Task Order/IDIQ Shift: First

Job ID: 712837BR Date posted: Apr. 08, 2026 Description:This position is participating in our External Referral Program. If you know somebody who may be a fit, click here to submit a referral. If your referral is hired, you'll receive a $3,000 payment! code-extrefer WHAT WE'RE DOING Lockheed Martin, Rotary Mission Systems Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. THE WORK In this role you will: • Analyze user requirements to derive software design and performance requirements • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Write or review software and system documentation • Serve as team lead at the level appropriate to the software development process being used on any particular project • Design or implement complex database or data repository interfaces/queries • Develop or implement algorithms to meet or exceed system performance and functional standards • Assist with developing and executing test procedures for software components • Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas • Modify existing software to correct errors, to adapt to new hardware, or to improve its performance • Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design • Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints; Perform quality control on team products • Implement recommendations for improving documentation and software development process standards • Coordinate software system installation and monitor equipment functioning to ensure operational specifications are met WHO WE ARE The program is on fire for cyber. In support of our customer, members of the team are responsible for providing full lifecycle support including analysis, design, development, integration, testing, procurement, deployment, security, training and sustainment for collection and antenna systems. WHY JOIN US In this role you will have the opportunity to safeguard vital national security systems while advancing cutting edge cyber defense technologies. Our benefits are built to match the caliber of your work. Reliable, high-performing, and mission-ready. You'll enjoy world class resources, mentorship, continuous learning, competitive compensation, comprehensive benefits, and a supportive work life balance-all within a culture that values innovation, integrity, and collaboration. This position is participating in our External Referral Program. If you know somebody who may be a fit, click here to submit a referral. If your referral is hired, you'll receive a $3000 payment! Code extrefer. Basic Qualifications: • Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree Candidate must possess active security clearance with a polygraph. Desired Skills: • C++ • Python • Kubernetes Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Software Engineering Type: Task Order/IDIQ Shift: First

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description The Core Analysis Process System (CAPS) Project is looking to hire an advisor software engineer to lead the reactor engineering community in developing and implementing complex software solutions for scientific and engineering problems. The CAPS Project works directly with our engineers to provide common software engineering solutions for the reactor design community, applicable to all naval nuclear core designs. The project is focused on the ability to provide robust, user friendly, automated tools to evaluate thermal hydraulic and reactor performance design conditions. As a Principal Software Developer on the CAPS Project, the qualifying individual will need to be able to directly mentor and oversee multiple software engineers and nuclear engineers in designing, developing, testing, verifying, and maintaining engineering applications and programs using modern computing architectures. Additionally, the selected individual will work closely with management and leads to define the future of the scientific and engineering work efforts across the reactor engineering, data science and high performance computing technologies with a focus on near term execution. Particular application areas include nuclear reactor physics, reactor thermal performance and casualty analysis, and data science. Required Combination of Knowledge and Skill Bachelors degree from an accredited college or university in a related technical, engineering or science field and a minimum of 9 years of relevant experience; or Masters degree from an accredited college or university in a related technical, engineering or science field and a minimum of 7 years of relevant experience; or Doctorate degree from an accredited college or university in a related technical, engineering, science field and a minimum of 3 years of relevant experience; or Currently a Principal Reactor Training Engineer, Refueling Engineer, or Field (RPCO) Engineer at the Company. Preferred Skills Strong programming skills with compiled (e.g., Java, C, C++ or Fortran) and/or interpreted (e.g., Python) scientific computing languages Demonstrated experience with all aspects of software architecture (design, implementation, testing, maintenance, configuration management) Experience with client-server software systems used across multiple operating environments (e.g. Windows, Linux) Experience with Graphical User InterfaceParallel programming and running parallel jobs on supercomputing systems Experience functioning within an agile development methodology Ability to work effectively across multiple projects simultaneouslyDemonstrated ability and passion for developing scientific software Capacity to work independently, as well as within interdisciplinary teams with minimal supervision Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $117,900.00 - $184,300.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.

Summary GENERAL SUMMARY: Responsible for the establishment and maintenance of Bryan Healths data governance program and infrastructure. As the organizations data governance champion, collaborates with leaders and data stewards across Bryan Health to develop, implement, and execute the organizations data and AI governance strategies, policies, and procedures. As a critical part of Bryans Data Analytics Center of Excellence, recommends data governance policies to entity governance for review and approval, while working with IT and key business units to constantly improve data definitions, integrity, security, and reliability, ensuring high-quality inputs for analytics and AI models. PRINCIPAL JOB FUNCTIONS: 1. Commits to the mission, vision, beliefs and consistently demonstrates our core values. 2. Participates in or supports work stream planning process. 3. Effectively communicates with executive sponsors, project advocates, leaders, and data stewards to help them understand and apply policy and principles of data governance while ensuring that deliverables meet business requirements. 4. Develops and plays a hands-on role in operationalizing an organization-wide data governance strategy, framework and roadmap that aligns with the organizations overall data, analytics, AI, and data security strategy. 5. Defines and enforces data standards, data classification, and data protection guidelines to ensure consistent and reliable data across systems, processes, and business units. 6. Translates Data and AI governance policies and standards into actionable strategies and implementable solutions, ensuring practical application and demonstratable impact on data reliability. 7. Develops and implements policies and standards for managing data used in AI models to ensure quality, security, privacy, and compliance with relevant regulations. 8. Collaborates with business stakeholders, data owners and data stewards to establish data governance roles, responsibilities, and accountabilities within the organization. 9. Collaborates with data science and AI/ML teams to ensure the reliability of data used in AI training, validation, and deployment. 10. Aligns data governance policies with AI development lifecycle, ensuring proper data stewardship and governance throughout the AI project lifecycle. 11. Conducts assessments to identify data issues, gaps, and opportunities for improvement. 12. Provides guidance and training to business users and data stewards on data governance policies, procedures, and best practices. 13. Collaborates with Data Council, Advisory Teams, and other governance groups for program oversight and issue resolution. 14. Identifies and mitigates risks related to AI data, including bias, fairness, and privacy concerns, to support responsible AI practices. 15. Works closely with Data Analytics and IT to design and implement data governance tools, technologies, and platforms to provide data quality checks, data cataloging, and data lineage tracking. 16. Stays up to date with AI and data governance industry trends, emerging technologies, regulatory changes, and standards around the evolving legal, ethical, and technological standards related to AI and data governance, and proactively recommends improvements and enhancements to governance frameworks. 17. Ensures that data used in AI systems complies with data privacy laws and organizational policies and maintains auditability of AI data pipelines. 18. Engages and advises the Bryan Data Analytics Council on project prioritization and other agenda items as needed. 19. Develops effective collaborative relationships with stakeholders across the Bryan Health System. 20. Works with executive sponsors and project advocates to ensure products meet business requirements. 21. Collaborates with other teams and leaders to ensure resources and priorities align with Data Council guidance. 22. Establishes effective relationships with clients and provides leadership for all data governance at Bryan. 23. Maintains professional growth and development through seminars, workshops, and professional affiliations to keep abreast of latest the latest trends in field of expertise. Keeps abreast of industry news and trends. 24. Effectively facilitates and participates on multi-disciplinary teams; attends and participates in project meetings and activities. 25. Performs other related projects and duties as assigned. (Essential Job functions are marked with an asterisk ). REQUIRED KNOWLEDGE, SKILLS AND ABILITIES: 1. Expert knowledge in principals of data governance and data governance program design. 2. Highly proficient in data governance concepts and application (metadata management, data quality, stewardship, etc.). 3. Knowledge of AI and AI governance. 4. Knowledge of health care market and industry trends. 5. Knowledge of computer hardware equipment and software applications relevant to work functions. 6. Strong skills in problem solving and process improvement. 7. Excellent communication skills and ability to explain complex topics to non-technical audiences. 8. Strong ability in program and project management. 9. Ability to perform crucial conversations with desired outcomes. 10. Ability to communicate effectively both verbally and in writing. 11. Ability to establish and maintain effective working relationships with all levels of personnel and medical staff. 12. Ability to effectively interact with clients that have a broad range of computer knowledge and ability. 13. Ability to plan for and act on changes in the business and market environment that impact current business plans and processes. 14. Ability to problem solve and engage independent critical thinking skills. 15. Ability to prioritize work demands and work with minimal supervision. 16. Ability to maintain confidentiality relevant to sensitive information. 17. Ability to maintain regular and punctual attendance. EDUCATION AND EXPERIENCE: Bachelors degree in Data Science, Data Management, Analytics, Computer Science, Public Health, Hospital Administration, Business, or related field required. Masters degree preferred. Five (5) years of related work experience required. Prior project leadership experience (formal or informal) required. Prior data governance experience highly preferred. Prior Epic experience preferred. OTHER CREDENTIALS / CERTIFICATIONS: Epic Cogito Fundamentals and Cogito Project Manager certification preferred. Epic certification in Cogito Fundamentals and Cogito Project Manager required within six (6) months of hire. PHYSICAL REQUIREMENTS: (Physical Requirements are based on federal criteria and assigned by Human Resources upon review of the Principal Job Functions.) (DOT) Characterized as sedentary work requiring exertion of up to 10 pounds of force occasionally and/or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body. Required Preferred Job Industries Other

Job ID: 712837BR Date posted: Apr. 08, 2026 Description:This position is participating in our External Referral Program. If you know somebody who may be a fit, click here to submit a referral. If your referral is hired, you'll receive a $3,000 payment! code-extrefer WHAT WE'RE DOING Lockheed Martin, Rotary Mission Systems Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. THE WORK In this role you will: • Analyze user requirements to derive software design and performance requirements • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Write or review software and system documentation • Serve as team lead at the level appropriate to the software development process being used on any particular project • Design or implement complex database or data repository interfaces/queries • Develop or implement algorithms to meet or exceed system performance and functional standards • Assist with developing and executing test procedures for software components • Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas • Modify existing software to correct errors, to adapt to new hardware, or to improve its performance • Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design • Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints; Perform quality control on team products • Implement recommendations for improving documentation and software development process standards • Coordinate software system installation and monitor equipment functioning to ensure operational specifications are met WHO WE ARE The program is on fire for cyber. In support of our customer, members of the team are responsible for providing full lifecycle support including analysis, design, development, integration, testing, procurement, deployment, security, training and sustainment for collection and antenna systems. WHY JOIN US In this role you will have the opportunity to safeguard vital national security systems while advancing cutting edge cyber defense technologies. Our benefits are built to match the caliber of your work. Reliable, high-performing, and mission-ready. You'll enjoy world class resources, mentorship, continuous learning, competitive compensation, comprehensive benefits, and a supportive work life balance-all within a culture that values innovation, integrity, and collaboration. This position is participating in our External Referral Program. If you know somebody who may be a fit, click here to submit a referral. If your referral is hired, you'll receive a $3000 payment! Code extrefer. Basic Qualifications: • Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree Candidate must possess active security clearance with a polygraph. Desired Skills: • C++ • Python • Kubernetes Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Software Engineering Type: Task Order/IDIQ Shift: First

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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 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).

Year Up United's Career Pathways 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. Career Pathways 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 Amazon, Bank of America, Buzzfeed, or BEN Group among many other leading organizations in the Greater Los Angeles 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 Career Pathways students earn an educational stipend of $525 per week. In-depth classes include: - Banking - Business Operations - IT Support - Application Development - Project Management Get the skills and opportunity you need to launch your professional career. 72% of Year Up United Career Pathways graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description The Naval Nuclear Laboratory (NNL) is looking for an experienced database programmer to support training programs for nuclear navy personnel. The Naval Training and Simulation (NTS) department provides direct support to navy nuclear training. NTS Training Applications and Support (TAS) designs and implements database applications and middle-tier services used to schedule training activities and track the progress of students, including the reporting of progress and data analytics. The successful candidate will work in a technically diverse and dynamic environment with a team to support all aspects of design, peer review, implementation, and testing. They will collaborate across multi-tier systems working closely with DBAs and application developers to improve training applications while optimizing database performance. Additionally, they will lead and contribute to modernization initiatives such as implementing dedicated schemas, OLTP/OLAP separation, and maintaining integrations that move critical training data between systems. Required Combination of Knowledge and Skill Bachelor's degree from an accredited college or university and a minimum of 9 years of relevant experience; or Master's degree from an accredited college or university in a related field and a minimum of 7 years of relevant experience. Preferred Skills Experience with Oracle ApEx development environment Requirements definition and documentation Analysis of database applications at a systems level (Oracle or SQL Server) Agile software development experience Documentation of designs, work practices, and troubleshooting methods Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $117,900.00 - $184,300.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.