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About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Director, Center for DAIR. You will lead the coordination and execution of complex, large-scale AI research initiatives in mental health contexts. You will manage a team of approximately 10 data scientists and software engineers and collaborate closely with the Clinical Project Manager and project leadership, ensuring seamless collaboration and timely delivery of project milestones. You will oversee project planning, resource allocation, risk management, and stakeholder communication, using common project management tools and methodologies. This role requires strong project management expertise, technical fluency to communicate effectively with the engineering teams that will report to you, and the ability to navigate complex research environments while maintaining alignment with project objectives and organizational goals. This is a full-time, exempt position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area, with a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions . The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Please note: We are not currently able to employ individuals residing in Ohio, North Dakota, Washington, or Wyoming. You Will: • Work with team members across management, multiple engineering teams, clinical researchers, and stakeholders to develop project plans, timelines, milestones, resource requirements and deliverables, all in alignment with the overall mission of the project and organization., • Guide the team through the entire product development lifecycle, from road mapping and requirements gathering, through prioritization and scoping (OKRs), delivery of designs, and project management of engineering execution., • Coordinate cross-functional teams including data scientists, AI engineers, software developers, clinical researchers, and external collaborators to ensure efficient workflow and communication., • Achieve consensus around product vision and priorities across product research, design, engineering, and data science along with our leadership team., • Monitor project progress, identify risks and bottlenecks, and implement mitigation strategies to keep projects on track and within budget., • Help design and implement clinical validation and quality assurance testing for data generation, annotation workflows, and software development to ensure scientific rigor and reproducibility., • Ensure data quality, security, and compliance with privacy regulations for handling sensitive data. You Have: • Master's in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required., • 8+ years experience in technical project management for software development, data science, or AI/ML research projects., • 8+ years of experience working regularly with software development lifecycle, data engineering, machine learning, or cloud computing concepts., • 5+ years of practical experience with project management tools and methodologies (e.g., Notion, Jira, Kanban)., • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning)., • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required., • Demonstrated experience managing complex, multi-phase projects in software development environments with multiple stakeholders and competing priorities. #LI-hybrid #LI-remote Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our ___. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at ___ This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Great benefits. Competitive pay. We know these are some of the things people look for in a job. If you're the kind of person who believes that honoring and empowering our nation's veterans is more than just a cause - that it's a calling - then we're ready to meet you. When you join Wounded Warrior Project (WWP), you're committing to making a difference. We make a commitment to you, too - helping you to find that spark, ignite your passion to serve, and embark on a career with meaning and purpose. At WWP, we recognize our mission cannot be accomplished without our talented teammates, which is why we're proud to offer benefits such as: • A flexible hybrid work schedule (three days in the office, two days' work from home), • Full medical, dental, and vision coverage for both teammates AND family members, • Competitive pay and performance incentives, • A fun, mission-focused, and collaborative team environment A mission that matters is just the beginning, so if you're ready to get started, we're ready for you. The Wounded Warrior Project (WWP) Website Administrator II oversees all aspects of the website, from change coordination and control, development, website security, and governance. The Website Administrator II will be the central coordinator for all website input and will work with other team members to create and implement website content types, design, and architecture that meets business objectives and user needs. DUTIES & RESPONSIBILITIES * Lead the comprehensive management of the WWP website to include any changes and development. * Collaborate with internal and external stakeholders to gather requirements, coordinate priorities, and plan additions and changes to the website. Ensure effective communication and alignment of goals to meet business objectives. * Design and plan technical solutions that align with business requirements. Evaluate and recommend appropriate technologies, platforms, and frameworks to optimize the website's functionality and user experience. * Oversee the Umbraco CMS platform and other content management systems (CMS). Ensure smooth operation, maintenance, and customization of the CMS solutions to meet WWP's specific needs. * Monitor WWP web-based systems for availability, uptime, and performance. * Ensure that websites are optimized for performance, search engine optimization (SEO), and accessibility. * Review and execute ongoing web support requests and respond to the administrative needs of users. * Process daily requests for changes and adhere to the WWP's Change Control Process. * Develop reports, dashboards, and processes to continuously monitor data quality and integrity. * Write clean, scalable code using .NET programming languages. Gather functional and technical requirements for web projects to ensure compliance with coding standards and best practices. * Define website objectives by analyzing user requirements and system features and functionality. * Work with various functions and end users to identify, document, and communicate standard business processes relating to WWP websites. Support users to develop documentation and assistance tools. * Compare advantages and disadvantages of custom development and purchase alternatives and work with leadership to identify system solutions. Leverage comprehensive understanding of website products and platforms to provide relevant adoption and technical recommendations for solutions and enhancements customized to WWP's business needs. * Work with the IT trainer to develop and update training plans, materials, and documentation for users. Coordinate new user and ongoing training sessions. * Develop a trusted advisor relationship with business partners, key stakeholders, and executive sponsors to closely align website activities with the business strategy and realize the full potential of their web solution. * Maintain current job knowledge; research new web technologies and software products, read professional publications, and participate in educational opportunities and with professional organizations as appropriate. * Attend and actively participate in required training and/or meetings, including but not limited to New Teammate Orientation, WWP Cares, ASIST Suicide Prevention training, Leadership training, culture/team based training, or departmental huddles. * Other related duties as assigned. KNOWLEDGE, SKILLS, & ABILITIES * Demonstrated proficiency in HTML, CSS, JavaScript, or other programming languages. * Strong collaboration skills. Demonstrated ability to work effectively as a teammate, identify and resolve problems, and accomplish goals and objectives. * Demonstrated understanding of deployment, security, authentication, and data protection principles. * Strong project management skills. Demonstrated ability to drive projects to successful outcomes, providing excellent customer service to ensure project success and client satisfaction. * Strong working knowledge of professional web development with sites using a CMS. * Demonstrated understanding of ASP.NET, .NET, MVC, and Microsoft Visual Studio. * Demonstrated proficiency in SQL database queries and stored procedures. * Strong analytical and problem-solving skills with the ability to analyze information to identify problems. * Demonstrated understanding of DNS and domain name management. * Demonstrated understanding of single sign-on, REST APIs, and integration technologies. * Strong understanding of SEO and analytics. * Ability to adapt quickly to changing priorities and manage multiple deadlines within a fast-paced, changing environment. * High energy level. Self-starter; willing to take initiative. * Demonstrated ability to exercise confidentiality and good judgment when working with sensitive issues. * Excellent verbal and written communication skills. Exceptional interpersonal skills. Demonstrated ability to effectively communicate with users from diverse skill levels. * Unequivocal commitment to the highest standards of personal and business ethics and conduct. * Mission-driven, guided by core values, and a pleasure to work with. EXPERIENCE Requirements * Five years of website administration, website development or implementation of websites. * Three years of experience developing professional websites using .NET framework. * Three years of experience working with a CMS. * Two years of experience working with SQL. * Experience working with REST APIs and testing tools such as Postman. Preferences * Three years of experience working with software and hardware vendors. * One year of experience with Salesforce integrations and Azure website hosting. * Experience with content delivery networks (CDNs). * Experience with Umbraco CMS and Umbraco Forms. * Experience with accessibility testing tools (e.g., screen readers) and WCAG standards. EDUCATION Requirements * Bachelor's degree in computer science, information systems or related field. Equivalent combination of applicable education, training, certification, and experience may be considered in lieu of degree. Preferences * None. CERTIFICATIONS & LICENSURE Requirements * None. Preferences * None. WORK ENVIRONMENT/PHYSICAL DEMANDS * General office environment; temperature controlled. * Sitting for extended periods. * May require lifting/carrying items up to 20 pounds. * Up to 10% travel. We recognize the success of our mission depends on the efforts of our passionate, hard-working teammates. To help teammates remain focused on the warriors and families we serve, WWP offers a comprehensive benefits package that includes; Medical/Prescription drug, Dental, Vision, Life/AD&D, Short-term Disability, Long-term Disability, and an Employee Assistance Program. WWP also offers a 401(k)-retirement plan, a competitive PTO package, Sick Leave, Family Care Leave, Paid Holidays, Birthday Holiday, Education Assistance, Teammate Wellness Program and Bereavement Leave. For Chicago, IL Applicants: The estimated hiring range for this position is between $98,918 - $123,648 annual base salary,subject to a candidate's combination of experience, qualifications, and credentials. This position may also be eligible for an annual performance incentive. For Washington, D.C. Applicants: The estimated hiring range for this position is between $103,219 - $129,024 annual base salary,subject to a candidate's combination of experience, qualifications, and credentials. This position may also be eligible for an annual performance incentive. For New York Applicants: The estimated hiring range for this position is between $107,520 - $134,400 annual base salary,subject to a candidate's combination of experience, qualifications, and credentials. This position may also be eligible for an annual performance incentive. *ca-ml #LI-HYBRID Wounded Warrior Project is an equal opportunity employer committed to providing equal employment opportunity to all persons without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, marital status, citizenship, age, veteran or military status, disability, genetic information, or any other characteristic protected by law. Please note: Wounded Warrior Project is not seeking assistance or accepting unsolicited resumes from search firms without a written search agreement in place. All resumes submitted by search firms to any employee at Wounded Warrior Project via email, the Internet or directly to hiring managers at Wounded Warrior Project in any form without a valid written search agreement in place will be deemed the sole property of Wounded Warrior Project, and no fee will be paid in the event the candidate is hired by Wounded Warrior Project as a result of the referral or through other means."

Job DescriptionJob Title: Facilities Technician Classification: Full-time, Non-exempt Pay Rate: $29.08/hour Reports to: Director of Facilities & Maintenance Brooklyn Bridge Park (BBP) is looking to hire a full-time Facilities Technician (Tech). Reporting to the Director of Facilities, the Tech will work collaboratively with other team members and contribute to the general maintenance and repairs of Brooklyn Bridge Park’s many complex systems, in concert with established organizational mission, values, and standards. Systems include indoor facilities, public restrooms, playgrounds, water features, pedestrian bridges, outdoor lighting, HVAC and irrigation systems. Primary Responsibilities: • Work indoors and outdoors year-round and adapt to varying environmental conditions., • Perform general and detailed maintenance tasks, including facility inspections, work order completion, and assisting with special projects and events., • Ensure all park equipment and facilities are maintained in safe, operational condition for visitors., • Complete and document daily work orders efficiently and accurately., • Support ongoing operations and preventative maintenance of all systems and assets within Brooklyn Bridge Park., • Participate in seasonal maintenance activities such as snow removal and water system start-up/winterization., • Collaborate with team members to maintain proper inventory of maintenance supplies, materials, and equipment., • Provide emergency response for park-wide systems including mechanical, electrical, plumbing, and irrigation components., • Coordinate with outside contractors to perform specialized tasks, adjustments, and repairs., • Deliver positive customer service by assisting park visitors and providing accurate park information., • Perform other duties as assigned by management., • Nights and weekends are not required except during extreme weather events or emergencies.Qualifications:, • Hardworking, self-motivated, and dedicated to the details., • Previous experience in facility maintenance, technical operations, and preventative maintenance., • General knowledge of HVAC, electrical, plumbing, carpentry, masonry and general maintenance., • Ability to efficiently troubleshoot and diagnose a variety of repair projects., • Must be punctual, dependable, and trustworthy., • Strong communication and basic computer/smartphone skills., • Comfortable working independently or with a team, and can balance multiple projects and tasks., • Being a team player and having the ability to be flexible when necessary, including with schedule shifts. About You:, • You strive to be inclusive and collaborative. At BBP, we recognize that doing our best work means working together. We have each other’s back – and are helpful, humble and open., • You are committed. At BBP, we approach our work with integrity, positivity, and pride. We are committed to the public, the park and each other., • You are a problem-solver. At BBP, we prioritize learning, evolving and building creative solutions to ensure the Park remains a leader in sustainable green space for generations to come. Benefits (Other company benefits provided in addition to the following): • 403B (retirement plan), • Defined Benefit Plan (company-funded retirement), • Paid vacation time (up to 25 days), • Sick days (12), • Paid holidays/float days (15 days annually), • FMLA and other paid leaves (based on eligibility), • Tuition and professional development reimbursement, • Medical, dental, vision, Healthcare FSA, Dependent FSA, Commuter Benefits, Life, and Long-term Disability Insurance, • BBP vendor discounts at restaurants, food markets, and other eateries Brooklyn Bridge Park is an Equal Opportunity Employer. Brooklyn Bridge Park provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Powered by JazzHR y47Cn9e6V9

• Job Type: Support Staff - Union, • Bargaining Unit: SSA, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: This Research Assistant will assist with research initiatives, contributing to the advancement of knowledge in pediatrics and enhancing educational experiences. The Developmental Origins of Resilience (DOOR) Lab conducts research on mouse neuronal circuits activated during stress to elucidate the biological basis of stress resilience. The selected candidate will work on projects at the intersection of Behavioral Neuroscience and Data Science, which aim to analyze large datasets of brain images and behavioral outputs with the goal of understanding how brain circuits are activated and drive animal behavior in response to stressors. This is an excellent opportunity to work with academic researchers, become involved in Computational research in the Neuroscience field, and apply computational techniques to basic science. At CUIMC, we are leaders in teaching, research, and patient care and are proud of the service and support we provide to our community. Columbia University offers a range of benefits to help you and your dependents stay healthy, build long-term financial security, meet educational and professional goals, and more. Explore your options for ___ ___ ___ and ___ Responsibilities • Analysis of activations maps in mouse brains, primarily using R free-source library., • Develop computer codes, primarily using ImageJ and Python, to implement algorithms for characterizing brain maps and behavioral trajectories., • Communicate well in a team environment and regularly present the state of work., • Assist with data visualization and contribute to document analysis, observations, and results, ensuring accurate and accessible records., • Must confer with all members of the team to confirm appropriateness and timeliness of tests., • Coordinates collection of follow-up data as required by the protocol, • Bachelor's degree and at least one and one-half years of related experience or equivalent in education, training and experience., • Bilingual Spanish., • Ability to interact with laboratory animals., • Contact with patients and/or human research subjects. Columbia University is committed to the hiring of qualified local residents.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Morningside The Employer Relations Manager is the member of the Graduate Career Placement (GCP) team responsible for developing new employer partnerships and managing existing relationships with employers that are likely to hire Columbia Engineering students/new graduates and leading special projects that strengthen Columbia Engineering's capacity to facilitate the placement of all MS and PhD students. In close collaboration with Graduate Career Placement, Career Placement Officers (CPOs), and the Professional Development and Leadership (PDL) team, the incumbent will:(1) cultivate and maintain school-level employer relationships; (2) manage the execution of signature GCP programs including the Executive in Residence program, career fairs, and exclusive recruitment programs; (3) expand relationships and programming with alumni; (4) coach students on how to secure positions and support their professional development. Responsibilities Manage School Level Employer and Hiring Alumni Relationships (50%): • Forge new employer relationships to facilitate the placement of Engineering graduate students., • Coordinate and execute new employer outreach plan and communication strategy., • Cultivate relationships with and develop hiring strategies for all school-level employers., • Source employers and industry experts to serve as instructors for the PDL course., • Manage employer-facing systems including onboarding employers and sourcing job opportunities for graduate engineering students., • Develop and expand relationships with alumni to facilitate hiring of graduate students., • Fully plan and execute the Executive in Residence program in close partnership with the Office of Alumni & Development., • Organize signature recruitment events with employers including career fairs, on-campus interviews, and exclusive employer hiring partnerships., • Collaborate with Career Placement Officers on relevant placement initiatives., • Support the execution of our Professional Development and leadership course., • Support signature student affairs activities including Welcome Day, Graduate Engineers Connect, graduation ceremonies, and other school-wide initiatives for engineering students. Qualifications A bachelor degree and or equivalent. Graduate-level work is preferred. Minimum of 2-4 years of related higher education, career education, professional, campus recruitment, related engineering industry experience, development, or human resources experience required. Strong computer literacy/proficiency required: an understanding and appreciation of student services database software and on-line resources, and the willingness and enthusiasm to respond to the needs of students in an increasingly technologically-oriented society. Proficiency with Google suite of products, MS office, publishing software, social media, etc. Data analysis and data visualization skills: candidate need to be comfortable with analyzing and work with large volumes of student and employer data. Possess excellent interpersonal and administrative skills. Ability to work independently and under pressure, with high level of attention to detail. Candidate must exercise good judgment and flexibility. Must be able to prioritize multiple tasks with minimal supervision. Must be able to communicate effectively and tactfully with staff, faculty, students, employers, and alumni in small and large group settings. Excellent command of English (verbal and written). Must be willing to work on occasional evenings and weekends, on a need basis. Positive, mission-oriented, forward-thinking attitude and sense of humor a must. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

Columbia Business School is seeking to hire a Staff Associate of research for the Decision, Risk, and Operations (DRO) Division. The work will include quantitative and qualitative research and analysis involving the collection, coordination, and management of information and data, development and implementation of computer models and simulations, development of research materials (figures, presentations, papers, etc.) and work on special projects relating to pertinent fields of research within the division. This position provides an opportunity to gain experience in academic business research, with a special focus on fields such as operations research, operations management, statistics, and economics; and it would be ideal preparation for a PhD program or other graduate study. The Staff Associate duties involve work in one or more of the following areas of research: Economics and Statistics. Specific duties include: • Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare detailed documentation., • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.)., • Perform statistical analysis, including regression analysis and machine learning techniques., • Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, websites, and other research outlets., • Perform case-based research, including work with detailed primary documents. Bachelor's degree in Economics or Finance or in a quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, Data Science, etc. • At least 6 months of experience in a research role or as a research assistant., • Programming experience in STATA is required. Strong preference for those who also know Python or R., • Additional programming experience in one or more of the following languages: SQL, SAS, Matlab, and/or C is preferred., • Familiarity with statistical tooks such as linear regression is required., • Demonstrated exceptional written and oral communications skills needed - a writing sample is required., • Expertise in processing large volumes of data and algorithm design expertise., • Experience in market design applications preferred., • Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred., • Candidate must be able to work on multiple projects simultaneously. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Columbia Business School is seeking to hire a Staff Associate in the Marketing Division. Under the guidance of the Marketing faculty liaison and the Director of Research Support, the Staff Associate will take an active role in ongoing research projects in the Division of Marketing. The work will include quantitative and qualitative research and analysis, collection, coordination, and management of information and data, development and implementation of computer models and simulations, development of research materials (figures, presentations, papers, etc.), and work on special projects relating to pertinent fields of research within the division. This position provides an opportunity to gain experience in academic business research, with a special focus on fields such as marketing, statistics, and economics; and would be ideal preparation for a Ph.D. program or other graduate study. All duties involve work in one or more of the following areas of research: accounting, finance, economics, and statistics. • (30%) Collect, clean, and maintain computer data sets and databases. Assist with data entry and ensure data integrity. Extract and link data from multiple databases for analysis. Prepare detailed documentation., • (25%) Develop models and implement program code (STATA, R, Matlab, Python, etc.)., • (20%) Perform statistical analysis, including regression analysis., • (15%) Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, websites, and other research outlets., • (10%) Perform case-based research, including work with detailed primary documents. All applicants should have a Bachelor's degree in or in a quantitative discipline such as Mathematics, Statistics, Engineering. At least 6 months of research experience in a research role as a research assistant during the academic year; or a 3-month summer internship in a research lab, a governmental institution such as the NY Fed, or a corporate research lab. Specific skills and/or knowledge required for the position. • Programming experience in STATA is required. Strong preference for those who also know Python., • Additional programming experience in one or more of the following languages: R, SQL, SAS, Matlab, and/or C++ is preferred., • Familiarity with statistical tools such as linear regression is required., • Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred., • Demonstrated exceptional written and oral communications skills needed - writing sample is required, • The candidate must be able to work on multiple projects simultaneously Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The New York City Department of Investigation (DOI) is one of the oldest law enforcement agencies in the country; its mission is to combat municipal corruption. DOI serves the people of New York City by acting as an independent and nonpartisan watchdog for New York City government, City agencies, and City employees, vendors with City contracts, individuals and entities that receive City funds. The Information Technology Unit of the NYC Department of Investigation is currently seeking a highly skilled, motivated and hands-on System Security Engineer to manage and secure our environment, including Active Directory, Windows Servers, Exchange (on-prem and Online), Microsoft 365, AirWatch MDM, and file shares. This role supports system stability and cybersecurity readiness, emphasizing automation, practical risk management, prioritization, and collaboration, ensuring our core systems remain secure, efficient, and compliant within a small but capable IT team. Key Responsibilities - Active Directory Administration: Manage user accounts, permissions, and Group Policy Objects (GPOs); secure and monitor domain controllers. - Exchange Management: Administer Exchange on-premises and Exchange Online hybrid environments, managing mail flow, mailbox provisioning, spam filtering, and secure mail routing. - Security & Compliance: Apply Microsoft and CIS hardening baselines; enforce consistent GPO and Exchange security configurations; monitor logs for anomalies. -Patch & Configuration Management: Implement and manage regular patching schedules for Windows Servers, Exchange systems, and related components. - Monitoring & Response: Leverage Proofpoint, Varonis, Adaudit, SIEM, Endpoint Manager, and AirWatch MDM to monitor user activity, device compliance, system configurations, and mail flow. Investigate alerts and anomalies related to AD, Exchange, and endpoints to detect and respond promptly to potential security incidents. - File Share Management: Maintain secure access controls and auditing for on-prem file shares; monitor for data access anomalies using Varonis. - Certificates & PKI: Manage digital certificates, renewals, and certificate authorities (CAs) for servers, internal services, and authentication. - Backup & Recovery: Ensure reliable backups for AD, Exchange, file shares, and critical servers; test restoration procedures regularly. - Automation & Documentation: Develop PowerShell scripts to automate patching, mailbox management, and security reporting; maintain accurate operational documentation. -Collaboration: Work cross-functionally with IT support and network teams to maintain a secure, resilient infrastructure. If selected, the candidate will be fingerprinted and undergo a background investigation. In addition, because the position has a law enforcement and/or investigative function, the candidate's consumer credit history will be reviewed during the background investigation, as permitted by NYC Administrative Code 8-107(24)(b)(2)(A). SPECIAL INVESTIGATOR (COMPUTER - 31128 (1) A baccalaureate degree from an accredited college, including or supplemented by twenty-four (24) semester credits in computer science or a related computer field and two (2) years of satisfactory full-time software experience in designing, programming, debugging, maintaining, implementing, and enhancing computer software applications, systems programming, systems analysis and design, data communication software, or database design and programming, including one year in a project leader capacity or as a major contributor on a complex project; or (2) A four-year high school diploma or its educational equivalent and six (6) years of full-time satisfactory software experience as described in "1" above, including one year in a project leader capacity or as a major contributor on a complex project; or (3) A satisfactory combination of education and experience that is equivalent to (1) or (2) above. College education may be substituted for up to two years of the required experience in (2) above on the basis that sixty (60) semester credits from an accredited college is equated to one year of experience. A master's degree in computer science or a related computer field may be substituted for one year of the required experience in (1) or (2) above. However, all candidates must have a four year high school diploma or its educational equivalent, plus at least one (1) year of satisfactory full-time software experience in a project leader capacity or as a major contributor on a complex project. • Experience managing Active Directory, Exchange (on-prem and Online), and Microsoft 365 environments. - Strong skills in Windows Server administration, patch management, and system hardening. - Working knowledge of Proofpoint, Varonis, Ad Audit, SIEM, Endpoint Manager, and Workspace One MDM. - Proficiency in PowerShell scripting for automation and auditing. - Familiarity with certificate management (PKI) and file share security. - Experience with VMware or Hyper-V virtualization platforms. - Focus: A practical, security- focused administrator ensuring uptime, resilience, and protection across identity, messaging, and data-sharing systems within a lean operational model. As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education's website at New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for two continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of the interview. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Job Location(s) US-NY-New York Job ID 2025-4085 Division College of Engineering & Computing Sciences Position Type Adjunct Type Regular Part-Time Category College of Engineering and Computing Sciences New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide. The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university's community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenges, and reinvent the future. For more information, visit nyit.edu. The Department of Computer Science at New York Institute of Technology, NYC, is looking for an Adjunct faculty to teach Computer Science and an introductory course for all Engineering and Computing Science undergraduate students at its NYC campus. Candidates should have a M.S or Ph.D. degree in Computer Science, Information Technology, Data Science, Cybersecurity, or a related area. Teaching experience or industrial experience in Computer Science, Artificial Intelligence, programming languages LISP, PROLOG and object-oriented programming and related Lab applications are preferred. New York Institute of Technology is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer. Adjunct Faculty offered hourly rate is contingent on applicable rank. USD $99.00/Hr. USD $108.00/Hr.

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. About the Role We are seeking a Senior Data Scientist to take a leading role in building and deploying machine learning solutions that power personalization and create measurable business impact. This is a highly visible, cross-functional position where you will work closely with product managers, ML engineers, and commercial stakeholders to transform raw data into actionable insights and scalable models. You'll leverage cutting-edge tools and techniques to segment users, predict behaviors, and optimize experiences across the customer journey. As a Senior Data Scientist, you will design and deliver advanced analytics projects from exploration and modeling through deployment and measurement of impact. You'll make technical decisions, lead collaborative problem-solving sessions, and mentor other data scientists as you raise the overall level of technical rigor within the team. This role is perfect for someone who thrives in a fast-moving environment, enjoys turning complexity into clarity, and is motivated by seeing their models drive real-world outcomes. Responsibilities * Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units * Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions * Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer * Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making * Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership * Stay up to date on the latest advancements in data science and leverage cutting edge technology * Mentor, brainstorm with, and enable others within the DS team and broader Data organization Qualifications Education and Experience: * Bachelor's degree needed in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field * 5+ years of experience in data science, creating and deploying models * Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems. * Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models * Experience in experimentation to validate models' impact and ability to quantify that impact Technical Expertise: * Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker. * Experience with statistical modeling, A/B testing, and customer segmentation techniques. * Experience implementing and overseeing ML platforms and building unified data products across multiple domains. * Familiarity with online gaming platforms, trading systems, and marketing technologies. * Can write production level code, understand principles of programming Leadership & Soft Skills: * Strategic thinker with a proven ability to balance short-term results with long-term goals. * Excellent communicator with the ability to translate complex technical concepts into clear, actionable strategies for stakeholders at all levels * Collaborative team player who excels in cross-functional environments. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

Role: Quadient Inspire Developer Duration: 12+ Months (Temp to Perm Hire) Location: Newark, NJ - Hybrid (3 days onsite per week) Required: • Bachelor of Computer Science or Engineering or equivalent experience in related fields., • Ability to take on assignments with minimal guidance and effectively leverage diverse ideas, experiences, thoughts, and perspectives to the benefit of the organization., • Experience with agile development methodologies and Test-Driven Development (TDD)., • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business., • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges., • Programming Languages: JavaScript, design patterns and design methodology; Microservice, multi-threading, Concurrency and parallel processing., • Application Programming Interfaces (API):?Consumption & Development; implementing service-oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SOAP, XML, JDBC, MySQL., • Unit, interface and end user testing?concepts and tooling (functional & non-functional)., • Automated testing, • Accessibility awareness, • Software security skills?including?secure coding, web application security and DevSecOps;?Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service proxies, firewall, SAML 2.0, OpenID Connect, OAuth 2.0)., • DevOps Tools & Practices:?Branching techniques and usage of GitHub, Bitbucket or Subversion; DevOps, Jenkins., • At least 3 years hands on experience in Quadient Inspire Designer, Interactive and ICM developing customer communications., • Quadient Inspire Designer and Interactive certification, • Creating communications that use Tickets in Quadient Interactive to guide the user experience and customize output, • Content rationalization Concepts, • ADA document compliance, • Design Thinking, • Financial/Insurance industry experience is a plus, not a must.

Job Title: QA Engineer Location: Hybrid- Newark, NJ Duration: 12 months Overview The Engineering team is seeking a candidate to lead the design and development of AI-powered test automation capabilities across client. This role will leverage AI and LLM technologies to fundamentally transform how functional, regression, and integration testing is created, maintained, and executed. We are looking for someone who combines strong quality engineering fundamentals with a passion for AI-driven development. The successful candidate will define the strategy for AI-powered test automation, build frameworks that use AI to generate and maintain test suites, and establish standards that ensure consistent quality across applications. Key Responsibilities Test Automation & AI Integration • Design and build AI-powered test automation frameworks that leverage LLMs to generate, execute, and maintain test cases for functional, regression, and integration testing, • Develop AI-driven approaches to analyze application code and automatically generate meaningful test coverage, • Build and maintain reusable automation components that integrate AI capabilities into existing test pipelines, • Create self-healing test suites that use AI to adapt to application changes and reduce maintenance overhead Strategy & Standards • Define the overall strategy and roadmap for AI-powered quality engineering across the organization, • Establish standards for test automation quality, coverage thresholds, and AI-generated test validation, • Evaluate and integrate AI/LLM tools into the testing lifecycle, assessing their reliability and enterprise fit, • Define best practices for prompt engineering in the context of test generation and validation, • Track and report on the effectiveness of AI-driven testing compared to traditional approaches Collaboration • Partner with agentic code development and AI tooling teams to ensure quality is embedded throughout the AI-powered SDLC, • Work with development teams to integrate AI-driven testing into their CI/CD pipelines, • Collaborate with InfoSec and compliance teams to ensure AI-generated tests meet enterprise requirements, • Share knowledge and best practices across teams, building organizational capability in AI-powered testing Qualifications Required Experience • Extensive experience in quality engineering, test automation, or software development in an enterprise environment, • Demonstrated experience building and maintaining test automation frameworks, • Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.), • Experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar), • Fluency with Agile delivery methodologies and Test-Driven Development (TDD), • Experience integrating test automation into CI/CD pipelines Technical Skills • Deep knowledge of test automation frameworks and tools (Selenium, Playwright, Cypress, or similar), • Understanding of prompt engineering principles applied to test generation and validation, • Experience with API testing, contract testing, and integration testing patterns, • Familiarity with AI agent frameworks and how they can be applied to testing workflows, • Knowledge of DevOps practices and CI/CD tooling, • Strong technical troubleshooting and problem-solving skills Preferred • Hands-on experience with Claude Code or similar AI development tools, • Experience with MCP (Model Context Protocol) integrations Soft Skills • Ability to define and communicate a technical vision for AI-powered quality engineering, • Strong analytical mindset - able to evaluate AI-generated outputs critically, • Self-directed with ability to work independently while collaborating across teams, • Ability to learn quickly in the fast-moving AI space, • Strong written and verbal communication skills Education - Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field

Job Description Classification Exempt, 12-Month Employee Reports to Director of Technology + Student Information Systems Overview The Technology + Student Information Systems Associate is responsible for assisting and supporting the Principals and Counseling department with managing student data on Powerschool. This includes creating schedules, updating grades and assisting Students and Parents/Guardian with access to their Powerschool accounts. Support Director of Technology + SIS with syncing powerschool data with Clever and Google Workspace as well as installing add-ons to further enhance Powerschool with new features. In addition, the Technology + SIS Associate will perform a variety of routine-to-moderately complex technology department support to maintain efficiency and upkeep of the school's instructional technology hardware and software, as well as daily operations. Responsibilities Technology and SIS Support • Support with all aspects of Powerschool, including updating grades & test scores, scheduling, plugins and add-on software (bright arrow, MBA reports, PSCB Dev, etc)., • Support with all aspects of technology hardware and software used at the school. (Printers, Phones, Apple Devices, Chromebooks, Google Workspace, Microsoft 365, etc.)., • Manage inventory of chromebook carts in the school along with repairs., • Manage the preparation of all necessary equipment for technology setups for meetings and events as needed., • Work through a helpdesk system to track and resolve issues with Powerschool and technology., • Create or update documentation and data to support daily options, including but not limited to Inventory, how-to tutorials, etc. Skills and Knowledge • Effective skills in self-management including but not limited to meeting deadlines, effective prioritization of tasks, self-organization, managing up, and efficient time and task management, • Ability to learn new hardware and software and implement best practices., • Experience managing PowerSchool and plugins., • Experience with installation, configuration and maintenance of computer hardware and software., • Strong written and verbal skills with the ability to reply to email with urgency., • Tact and sensitivity, including but not limited to adhering to confidentiality obligations such as mandated reporting., • Ability to build strong and effective collegial relationships as part of an interdisciplinary team of educators and school leaders., • Ability to communicate and build relationships effectively and appropriately with a diverse range of individuals, including but not limited to current and prospective students and families, colleagues, and external partners. Qualifications • Bachelor's Degree in a related tech field or education required, • Experience with managing all aspects of PowerSchool, • Experience with supporting computer hardware and software, • Advanced knowledge of Google Workspace and related products, • Knowledge of Microsoft 365 and related products, • Background in programming and databases preferred, • Experience working in schools preferred Supervisory Responsibilities None Position Type and Expected Hours of Work This is a full-time 12-month position. The regular hours and workdays are Monday through Friday, 7:55 am to 3:55 pm in addition to any special events to which all staff are expected to attend. Salary Range $65,000 - $70,000 annually (Based on Experience) Travel Minimum to no travel required EEO Statement Dr. Richard Izquierdo Health and Science Charter School provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training.

Job Description Job Overview: We are seeking an enthusiastic and skilled Cheesemonger to join our retail team at Bleecker! This role combines customer-facing responsibilities, inventory management, food preparation, and educational outreach in a fast-paced, collaborative environment. You will be responsible for providing excellent customer service, maintaining product quality, and ensuring the smooth operation of daily tasks in the shop. Key Responsibilities: • Customer Service & Product Knowledge:, • Assist customers with product selection, offer samples, and provide expert knowledge on cheeses, charcuterie, and specialty items., • Cut, wrap, and weigh products to customer specifications., • Guide customers through the cheese and charcuterie selection process, delivering an engaging, educational, and enjoyable experience., • Build relationships with customers and promote new products, seasonal offerings, and pairings., • Handle customer inquiries, resolve issues, and ensure customer satisfaction., • Inventory & Merchandising:, • Receive and organize product deliveries, ensuring accurate stock and quality checks., • Maintain proper inventory levels, rotating products using FIFO principles, and ensure products are well-stocked, properly priced/labeled, and visually appealing., • Assist in stocking shelves and maintaining a neat, organized and clean sales floor and back-of-house area., • Food Safety & Cleanliness:, • Adhere to food safety standards and maintain cleanliness throughout the shop, including food prep areas and storage., • Perform daily cleaning tasks and ensure the highest standards of sanitation., • Food Preparation & Event Support:, • Prepare cheese and snack trays, parfaits, and other in-house items for sale., • Assist with the setup and cleanup of events, tastings, and educational workshops as needed., • Ensure that food safety standards are followed in all food handling and preparation tasks., • Administrative & Operational Duties:, • Process online, catering, and retail orders in a timely and accurate manner., • Monitor and manage shop cleanliness, organization, and food safety adherence., • Maintain product descriptions, inventory logs, and assist with purchasing and replenishment as needed., • General Support as Needed:, • Responsibilities may include cleaning, stocking, customer service, etc. Physical Requirements: • Ability to stand for extended periods and lift up to 50 lbs., • Comfortable with tasks requiring bending, twisting, reaching, and carrying., • Operate equipment such as cash registers, scales, slicers, product shelving, and food handling in a safe and efficient manner. Qualifications: • Flexible availability for weekends, holidays, opening, closing, and mid-day shifts., • High school diploma or equivalent., • Strong organizational, communication, and time-management skills., • Ability to thrive in a fast-paced environment and manage multiple tasks., • Proficiency in basic computer skills (register systems, inventory management)., • Previous experience in retail, customer service, or the food industry, with a preference for experience in cheese or specialty foods (not required, but should have a willingness to learn!), • Commitment to delivering exceptional customer service and contributing to a positive team environment., • Certifications: NYC Food Handler’s Certification or ServSafe preferred (not required). Work Perks: • Weekly pay, • Paid parental leave, • Annual bonus and referral program, • Pre-tax commuter benefits, • Discounts on our products, classes, and restaurant, • And more! About Us: Murray's Cheese was born in Greenwich Village in 1962, and the heart of our business still resides in New York City with many ways to experience Murray’s locally. At the counter, our cheese experts and mongers serve thousands of neighborhood regulars, commuters, and tourists every year at our two locations—the Bleecker Street flagship retail experience, which also includes our mac & cheese counter, and our shop in Grand Central Market. For those eager to learn more, we offer robust education and events programming and, for those looking to serve more, we provide catering of expertly crafted cheese boards and freshly made dishes. Oh, did we mention we also age our own cheese? Yeah, we do that too. We have state-of-the-art cheese caves in Long Island City. Because we like to share, we wanted to bring our exceptional cheese to people outside of New York too. So, we made Murray’s products available online at murrayscheese.com and in-store with a curated selection of specialty cheese in more than a thousand Kroger and Kroger-owned stores nationwide (and, growing every day!). And, through our wholesale business, you might enjoy Murray’s cheese at more than 600 restaurants across the country. Murray’s Cheese provides equal employment opportunities to all employees/applicants and prohibits discrimination and harassment of any type on the basis of race, gender, gender-identity/expression and transgender status, color, national origin, ethnicity, religion, creed, age, physical or mental disability (including gender dysphoria and being a certified medical marijuana patient), sexual orientation, marital, partnership, parental or familial status, citizenship status, pregnancy, childbirth, lactation or related medical conditions, military/veteran status, genetic information or testing (including predisposing genetic characteristics), domestic violence victim status, sexual abuse victim status, stalking victim status, caregiver status, unemployment status, consumer credit history, arrest or conviction record, or the perception that an employee has one of the above characteristics or any other consideration protected by federal, state or local laws. If contacted for an employment opportunity, please notify our HR team if you need accommodation. E-Verify Notice: • This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please see the attached notice for more information., • Este empleador participa en E-Verify y proporcionará al gobierno federal la información de su Formulario I-9 para confirmar que usted está autorizado para trabajar en los EE.UU.. Por favor, consulte el aviso adjunto para obtener más información., • Attachment: E-Verify_Participation_Poster_Eng_Es.pdf

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers, • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • Comfortable with light travel (approximately 10%) for customer interaction and team needs, • This role will require an active security clearance or the ability to obtain a security clearance, • Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

We are seeking a motivated Research Programmer / Computational Biologist to join the laboratory of Dr. Chaolin Zhang in the Department of Systems Biology at Columbia University Irving Medical Center (CUIMC). The Zhang Laboratory takes a multidisciplinary approach that integrates biochemistry, molecular biology, genome engineering, high-throughput data analysis, and integrative modeling to study protein-RNA interaction, neuronal alternative splicing regulation and RNA-based precision medicine. The Zhang Lab is a diverse, collaborative, and creative research environment committed to scientific rigor, innovation, and mentorship. More information can be found at: The successful candidate will participate in and lead projects focused on improving, extending, and sustaining genomic research software packages developed by our group, such as: • CLIP Tool Kit (CTK), • Quantas The position emphasizes software engineering, user community engagement, and genomic data analysis in a dynamic and collaborative research environment. Strong mentorship will be provided to support the candidate's scientific and career development. Specific responsibilities and duties will be as follow for each position title and grade (Staff Associate I, Staff Associate II, and Staff Associate III): • Functional Knowledge - For Staff Associate I & Staff Associate II: Algorithm development, software engineering, and computational genomics. For Staff Associate III: Algorithm development, software engineering, and computational genomics to a broader research., • Problem Solving - For Staff Associate I: Able to apply computer science and software engineering skills for problem solving. For Staff Associate II: Use computer science/software engineering skills to solve problems in moderate complex situations. For Staff Associate III: Use strong computer science/software engineering skills to solve problems in complex situations., • Decision Making/Autonomy - For Staff Associate I & Staff Associate II: Work independently and as part of a collabortive research team. Expected to show medium level of initiative and independent judgement. For Staff Associate III: Work independently and as part of a collabortive research team. Expected to show minimum level of initiative and independent judgement., • Technical Expertise - For Staff Associate I, Staff Associate II & Staff Associate III: Strong programming skills (Python and/or Perl preferred). Experience working in Linux/Unix environments, familiarity with version control systems., • RNA-binding protein biology, • Splicing regulation, • Transcriptomics and post-transcriptional regulation, • RNA-based therapeutic development Minimum qualification to be considered for: • Staff Associate I: Bachelor's degree in specific research field and 4 years experience preferred., • Staff Associate II: Bachelor's degree in specific research field and 4 years experience recommended, • Staff Associate III: Bachelor's degree in specific research field and 4-6 years experience preferred., • Experience with genomic data analysis (e.g., CLIP-seq, RNA-seq), • Knowledge of NGS pipelines and file formats (FASTQ, BAM, BED, GTF), • Experience with Docker, Singularity, or workflow systems, • Experience or strong interest in software engineering for scientific tools Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

As a leading financial services and healthcare technology company based on revenue SS&C is headquartered in Windsor Connecticut and has 27000 employees in 35 countries. Some 20000 financial services and healthcare organizations from the worlds largest companies to small and mid-market firms rely on SS&C for expertise scale and technology. Job Description Associate Manager Software Development Location(s): New York - Hybrid Get To Know the Team Our Software Development team is responsible for building enhancing and maintaining scalable high-performing applications that support critical business operations and client solutions. As an Associate Manager you will lead a team of engineers while remaining close to the technologydriving delivery improving engineering practices and partnering cross-functionally with Product QA and Infrastructure teams. Why You Will Love It Here! • Flexibility: Hybrid Work Model & a Business Casual Dress Code including jeans, • Your Future: 401 (k) Matching Program Professional Development Reimbursement, • Work/Life Balance: Flexible Personal/Vacation Time Off Sick Leave Paid Holidays, • Your Wellbeing: Medical Dental Vision Employee Assistance Program Parental Leave, • Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds Talents and Experiences of Our Employees, • Training: Hands-On Team-Customized including SS&C University, • Extra Perks: Discounts on fitness clubs travel and more! What You Will Get To Do • Lead and mentor a team of software engineers fostering a culture of collaboration accountability and continuous improvement, • Drive end-to-end delivery of software solutions ensuring alignment with business priorities and technical roadmaps, • Partner with Product Management QA and other stakeholders to define requirements scope and delivery timelines, • Oversee design development testing and deployment of scalable high-quality applications, • Ensure adherence to engineering best practices including code quality testing CI/CD and documentation, • Manage team capacity workload distribution and performance including hiring and development of team members, • Identify and mitigate risks proactively addressing technical and delivery challenges, • Contribute to architectural discussions and technical decision-making, • Drive process improvements to enhance team efficiency delivery speed and product quality What You Will Bring • Bachelors degree in computer science Engineering or related field (or equivalent experience), • 5 years of software development experience with at least 12 years in a leadership or mentoring capacity, • Strong hands-on experience with modern programming languages (e.g. Java C Python or similar), • Experience building and maintaining enterprise-level scalable applications, • Experience building and scaling technology platforms within the fund of hedge funds or alternative investments space strongly preferred, • Strong domain expertise in investment systems risk platforms data architecture and workflow automation, • Proven track record of driving operational efficiency and platform scalability within investment management environments, • Professional credentials such as CFA CAIA or MBA are highly desirable, • Familiarity with Agile/Scrum methodologies and modern software development practices, • Experience with cloud platforms (e.g. AWS Azure) and CI/CD pipelines preferred, • Strong understanding of system design architecture and software engineering principles, • Excellent communication and stakeholder management skills, • Proven ability to balance technical contributions with people leadership responsibilities, • Self-starter mindset with the ability to manage multiple priorities in a fast-paced environment Thank you for your interest in SS&C! To further explore this opportunity please apply through our careers page on the corporate website at ___

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Department of Pathology and Cell Biology at Columbia University Irving Medical Center, through partnership with the NewYork-Presbyterian Hospital, established the Digital and Computational Pathology Laboratory (DCPL) in 2018 to accelerate the development and deployment of quantitative pathology. Leveraging our network of expert pathologists and the department's extensive basic sciences knowledgebase, the DCPL aims to advance tissue-based diagnostics and personalized medicine using cutting-edge computational tools. To further this mission, we are seeking an experienced software engineer to join our multidisciplinary team of scientists and physicians. You will work with a passionate group that safely and fairly uses technology to solve real-world, clinically meaningful challenges in the field of anatomic pathology. As a mid/senior-level software engineer, you will work with our team to develop technologies aimed at storing, analyzing and serving large multiresolution and multispectral imaging data to investigators involved in both basic science research and clinical trials. Responsibilities • Work with bioinformatic researchers and physicians to develop and deploy clinical-grade systems focused on multiresolution (whole-slide) imaging., • Use DevOps framework and implement standards, processes, and controls for release and deployment activities., • Create and maintain technical documentation, including user guides, operational run books, and standard operating procedures., • Preferably with experience developing scientific software, including but not limited to software related to biomedical imaging and geographic information systems (GIS)., • Familiar with DevOps practices and version control systems (Git)., • Comfortable with shell scripting (bash) and markup languages (YML, XML, HTML)., • 5+ years of hands-on experience with programming languages like Python/Java., • 3+ years of experience building high-throughput and scalable RESTful APIs using Python frameworks (such as Flask, FastAPI, etc), • 3+ years of experience with database technologies such as MySQL, Postgres (PostGIS), MS SQL., • Familiar with high-performance computing platforms either on-premises (LSF, Slurm, etc) or on the cloud (especially AWS). Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

Description Intro/Program Description: Goddard Riverside is working in collaboration with the New York City Department of Youth and Community Development to alleviate the effects of poverty and provide opportunities by operating a Beacon Community Center on the Upper Westside. Beacon Community Centers are in public schools throughout New York City and serve youth from kindergarten through age 21 and adults ages 22 and older including Older Adults. Beacons operate year-round on non-school hours weekdays evenings weekends and in the summer as a resource to the entire community by offering integrated programming tailored to local needs. During the summer Beacons collaborate with the New York City Public Schools for the Summer Rising initiative. Program Description: Beacon Community Centers are in public schools throughout New York City and serve youth from kindergarten through age 21 and adults ages 22 and older including Older Adults. Beacons operate year-round on non-school hours weekdays evenings weekends and in the summer as a resource to the entire community by offering integrated programming tailored to local needs. During the summer Beacons collaborate with the New York City Public Schools for the Summer Rising initiative. Purpose of Position: Program Aides work with Office Manager Coordinators and Director to ensure the office is managed smoothly. Includes record-keeping correspondence monitoring and supporting Youth Groups. Schedule: Monday through Friday June 22 through August 14- 9:00am-5:00pm (hours may vary) Hourly Rate: $19/hr Qualifications Role Responsibilities and Essential Duties • Office Tasks (Manage attendance records Data Entry Typing Copying Manage Program/Office Supplies), • Maintenance Tasks (Light Sweeping mopping dusting general cleaning), • Support all areas of Summer Camp Program, • Enforce program rules, • Know and enforce ALL emergency procedures and follow all safety guidelines associated with all program areas, • Foster a learning environment that stimulates childrens creative growth and development, • Attend staff training weekly meetings and supervision meetings, • Other duties as required and assigned by Program Director ADED and/or DED, • Demonstrate professionalism & leadership Qualifications/Educational Requirements • Must be at least 16 years of age, • Must be able to work between the hours of 9am and 5pm Monday-Friday for training sessions, • Must have ability to work collaboratively, • Must have a sense of humor and a passion for youth development, • Have energy motivation and skills needed to work independently, • Comfortably engaging youth, • Experience or interest in Education/Social Work a plus, • Must be able to pass background check including Fingerprint Screening., • CPR/First Aid Certification a plus Skills Knowledge and Abilities • Familiarity with Social Services setting, • Ability to work independently, • Ability to work as a team member, • Knowledge of Microsoft Office a plus Physical Requirements • Frequent bending kneeling, • Computer use Work Environment: • Indoors/Outdoors We are committed to building an inclusive workplace community grounded in respect for differences. We support hiring a broadly diverse team of qualified individuals who will contribute to our organizations. Goddard Riverside and Isaacs Center provide equal employment opportunities to employees and applicants for employment without regard to race color religion creed gender national origin age disability marital or veteran status sexual orientationgender identityor any other characteristic protected by federal state or local law. The intent of this job description is to provide a representative summary of duties and responsibilities that will be required of this position and title and shall not be construed as a declaration of the specific duties and responsibilities of any particular position. Employees may be requested to perform job related task other than those specifically presented in this description. This job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. Employment Type : Temp Experience: years Vacancy: 1 Hourly Salary Salary: 19 - 19

MLB Network seeks a Freelance Broadcast Operations Specialist to assist the Broadcast Operations team in responding to the operations sales and technical needs of MLB Network. Responsibilities: • Support department managers with daily responsibilities., • Assist the traffic department with daily network log checks for accurate show timings advertiser conflicts and commercial placements., • Day of air check in with Master Control Tech Managers and Acquisitions group prior to show shift to discuss production and operational plans., • Monitor daily game and studio feeds to help ensure transmission is suitable for air. Compare and confirm game transmission sources with MLBN Master Control., • Work alongside Sales Production and Programing departments to plan and manipulate live broadcast schedule as needed., • Communicate day of air changes to Master Control and Traffic departments., • Adjust daily live show memos as it relates to sponsorships change requests and commercial breaks as the day dictates., • Provide rights holder commercial formats and listen lines to Production control room and Master Control during live no hitters and/or perfect games., • React to programing updates breaking news and Production needs with a strong sense of urgency and accuracy., • Assign and establish MLB International game conference bridges., • Assist Operations Managers in managing MLB Network captioning., • A minimum of 2 years applicable experience in the broadcast television operations industry is preferred., • Strong computer skills including Excel., • Demonstrable basic knowledge of television production operations and transmission. Knowledge of traffic systems is a plus., • Ability to work a flexible schedule including nights weekends and holidays., • Excellent interpersonal written and verbal communication skills., • Professional demeanor organized and detail oriented., • Ability to communicate and make informed and effective decisions in a fast paced high pressure environment., • Demonstrate the tact diplomacy decisiveness and superior people skills required in the pressurized environment of live television., • Ability to lift up to 25 pounds., • Ability to sit and/or stand for extended periods of time., • Possess the manual dexterity needed to effectively create required work product., • Possess the visual acuity needed to effectively create required work product in a dimly-lit control room environment., • Possess the auditory acuity needed to effectively create required work product., • Must possess excellent analytical and communication skills. As a candidate for this position your salary and related aspects of compensation will be contingent upon your work experience education skills and any other factors MLB Network considers relevant to the hiring addition to your salary MLB Network believes in providing a competitive benefits package for its employees. Top MLB Network Perks & Benefits: • Medical/Dental/Vision Coverage, • Company Contributed 401K Plan, • Paid Sick Time, • Commuter Benefits, • Discounts at MLB Store MLB Network is the ultimate television destination for baseball fans with studios located in Secaucus N.J. just minutes from New York City. Featuring live regular season games original programming highlights insights and analysis from the best in the business MLB Network produces baseball content for delivery to multiple media platforms. Cutting-edge technology is used to create MLB Networks Emmy Award-winning programming via roles in live studio and remote production operations engineering media management creative services social media and others. Applicants requiring a reasonable accommodation for any part of the application and hiring process please email us at ___

Job Description Blair + Mui Dowd Architects () is seeking a self-motivated, recent graduate with strong multi-tasking, organizational and communication skills to provide administrative assistance on a full-time basis. B+MD is a medium size architectural firm which specializes in the planning, programming, design, and construction of institutional, educational, research, and healthcare facilities. Responsibilities include • Marketing support such as contact database, typing, and putting marketing documents together, • Ordering, maintaining, and setting up of office supplies, equipment, and computer software, • General office tasks such as transmittals, shipping labels, photocopying, scanning, physical file management, gift baskets, typing, and office organization, • Support for 3 principals such as expense receipts and reports, project management reports, business research Ideal candidates will have: • Min HS Diploma or GED. College preferred., • Some experience working in a professional office environment, • Proven proficiency using Microsoft Office and presentation support tools, specifically Word, Excel, PowerPoint, Outlook, and Adobe Professional. MS Project and Photoshop a plus, • Demonstrated ability to learn quickly and adapt to new technology., • Legal working status in the U.S Candidate salary will be commensurate with experience. Please apply with a résumé and a cover letter with salary expectations to: Please use "Administrative Assistant" in your email subject heading. No phone calls please.

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 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 Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 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 * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 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 * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, Machine Learning Engineering 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 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 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 Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems * Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 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 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (MLX) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 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).

This job is with MARSH , an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Marsh USA LLC is seeking candidates for the following full-time position based in the New York, NY office (A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with company policies.) Engagement Lead - Risk Consulting/ CONSULT MGR I We will count on you to: Work on enterprise-wide risk analytics, data strategy, and digital transformation initiatives. Design and execute complex, multi-dimensional data analyses to generate transformative insights, support strategic decision-making, and inform industry benchmarks. Lead cross-functional projects with limited oversight, supporting innovation and advancing data maturity across the organization. Develop scalable and sustainable solutions that leverage cutting-edge technologies such as deep learning, artificial intelligence, automation, and real-time analytics. Drive measurable business impact through improved risk management, underwriting, claims optimization, and enterprise risk quantification. Carry out expertise in advanced statistical modeling, machine learning, artificial intelligence (AI), and data engineering, with a proven track record of deploying these techniques to address challenges in the risk and insurance domain. Offer data-driven insights that support enterprise risk strategy, product development, and operational improvement. Contribute to the development and implementation of comprehensive data strategy frameworks integrating them into holistic risk management architectures, insurance analytics ecosystems, and strategic planning efforts. Serve as a trusted advisor to C-suite executives and board members, translating complex data insights into actionable strategies that support organizational growth and resilience. Support high-level discovery initiatives, facilitate strategic workshops, and conduct executive interviews to identify latent data opportunities, define future-state data architectures, and build roadmaps for digital transformation and ongoing data maturity. Maintain strong technical proficiency in tools such as Python, R, SAS, Tableau, Power BI, and cloud-based analytics platforms. Build scalable, automated analytics pipelines to support enterprise-level decision-making. Provide strategic guidance on RMIS architectures, vendor solutions, and integration strategies. Lead enterprise-wide RMIS modernization initiatives, manage vendor negotiations and implementation processes, and ensure alignment with organizational risk appetite and compliance requirements. Contribute to industry thought leadership through research publications, conference presentations, and mentorship, promoting innovation and continuous learning within the team. Build toward future growth of risk management through data-informed insights and analytics-driven transformation. What you need to have: Must have a Bachelors degree or foreign equivalent in Business Intelligence & Analytics, Computer Engineering, or a related field plus four (4) years of experience in the position offered or a related position. Must have four (4) years of experience with all of the following: Utilizing intelligence and analytics in property and casualty insurance to support claims processes related to workers' compensation, general liability, and automobile liability; Designing and creating business analytics and reporting tools to improve processes and support informed client decision-making; Developing a comprehensive understanding of data strategy frameworks, with a focus on their application to enterprise risk management, insurance analytics, and strategic decision-making processes; Conducting sophisticated, high-impact data analyses with a high degree of accuracy and consistency, leading complex projects with minimal oversight; Utilizing data manipulation libraries and visualization tools, including Power BI, Tableau, and RShiny, to analyze and present data effectively; Implementing machine learning algorithms and frameworks using TensorFlow, Keras, and RShiny to develop predictive models and enable data-driven decision-making; Cleaning, transforming, and preparing data from multiple sources to ensure suitability for analysis; Leveraging big data tools and frameworks, including AWS and Spark, for processing and analyzing large datasets; Possessing deep technical expertise within specialized domains, including advanced statistical modeling, machine learning, and data engineering techniques relevant to risk and insurance; Collaborating in cross-functional teams, working with data professionals, engineers, and business stakeholders; Programming in languages including Python and R for modeling and analysis; and Programming in SQL for database management and data manipulation. The applicable base salary range for this role is $130,000 to $197,000 per year. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. #LI-DNI Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X. Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting . Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

• Job Type: Officer of Administration, • Regular/Temporary: Regular, • Hours Per Week: 35 Develop project's analytical datasets, conduct data analysis, and prepare reports (50%). Manage project's data processing, data sets, and databases (30%) Provide guidance for junior programmer and data editor (10%) Perform related duties & responsibilities as assigned/requested (10%) Minimum Qualifications Requires a bachelor's degree or equivalent in education and experience Preferred Qualifications Master's Degree or at least 2 years of related experience or equivalent in education, training, and experience preferred Knowledge of intermediate statistical analysis Knowledge of quantitative research methodologies for social sciences specifically with survey research, and statistical analysis Proficiency in programming with statistical software such as Stata, R, or Python Knowledge in relational databases Knowledge of SQL Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Reporting to the Senior Assistant Dean for Research and Faculty Affairs, the Program Director for Faculty Affairs plays a central role in SIPA's Faculty Affairs within the Office of Academic Affairs. The position is responsible for planning, implementing, and managing activities that support the School's full-time faculty, high-profile visiting faculty, and the Dean's initiatives. This includes faculty recruitment and review processes, faculty communications, event coordination, and administration of program budgets and grant-funded initiatives. Responsibilities Administration of Faculty Affairs • Working closely with the Senior Assistant Dean, manages logistics of all full-time faculty searches, including providing materials to search committees, coordinating logistics for candidates' visits, and coordinating the schedule of faculty meetings;, • Working closely with the Senior Assistant Dean, manages logistics for all full-time faculty reviews, including providing materials to search committees, coordinating logistics for candidates' visits, and coordinating the schedule of faculty meetings, • Working with the Dean's Senior Executive Assistant, schedules meetings for the Vice Dean and Associate Dean, • Working closely with the IAB Building Manager, manages full-time faculty office assignments, oversees all logistics for moves and manages update of building floor directories;, • Facilitates faculty involvement and OAA role in Admitted Students Day and SIPA Graduation, including faculty outreach to admitted students., • Manages faculty participation in admissions process, including application reads and outreach to admitted students;, • Schedules and assists with orientations for new full-time faculty., • Serves as primary contact point for high profile visiting faculty, in order to provide or coordinate the following services: CourseWorks and course support, Creating and posting syllabi and other material, managing student inquiries (such as those seeking permission to enroll) and modifying enrollment caps in collaboration with the Senior Assistant Dean for Curriculum and Instruction, working with the Office of Student Affairs to identify appropriate Teaching Assistants, Logistical support, such as housing, office space, and IT, work with the Office of Communications to support workshops, seminars or other activities, including room scheduling, event promotion, manage travel itineraries and reimbursements., • Maintains and further develop OAA website, with special focus on providing guidance to faculty regarding policies and procedures., • Oversees the creation, maintenance, and programming of full-time faculty biographies on the SIPA website, and faculty email distribution lists., • Manages the Interfolio posting for searches for full-time officers of instruction. Works closely with the Business Manager to coordinate external advertising where relevant. Minimum Qualifications • Bachelor's degree and or equivalent., • Minimum of three years of related experience required., • Demonstrated excellence in oral and written communications and strong organizational and problem-solving skills suited to a work environment that requires teamwork and collegiality., • Strong computer skills, including database and/or spreadsheet skills., • Experience in higher education setting desirable., • Knowledge about areas related to the mission of the Office of Academic Affairs. Columbia University is committed to the hiring of qualified local residents.

Savvas Learning Company is a global education company that produces award-winning learning solutions that empower educators and engage students with the highest quality content. Recognized as an industry leader, we serve millions of K-12 learners with innovative, student-centered educational programs that turn today's classrooms into active learning environments. By embracing technology, personalized learning, and immersive experiences delivered across multiple platforms, we design our learning solutions to be more accessible and relevant to each student. Our award-winning, high-quality instructional materials span every grade level and discipline, from evidence-based, standards-aligned core curricula and supplemental and intervention programs to state-of-the-art assessment tools and the industry's most innovative portfolio of college and career readiness solutions - all designed to meet the needs of every learner. Responsibilities: * Work closely with the product management team to ensure we're building the best products. * Ability to comprehend business requirements and be able to map them to technical data requirements. * Perform research, analysis, design and implementation and provide effective solutions for short term and long term needs * Support and migrate existing systems to new platforms * Mentor other team members and developers. * Work in a team environment and share knowledge. * Evaluate new technologies and software products to determine feasibility and desirability of incorporating their capabilities into the platform. * Contributes as a hands-on software developer. To support collaboration and engagement throughout the hiring process, candidates must be based in Boston, MA; New York, NY; Chandler, AZ; Chicago, IL; Raleigh, NC; or New Orleans, LA and available for an in-person interview. Minimum qualifications * Master's or Bachelor's degree in Computer Science, with strong fundamentals and problem solving skills. * 6+ years of experience in architecture, design, analysis, development, testing, deployment, and maintenance of highly scalable database services and components. * 4+ years experience with transactional and NOSQL platforms including Redshift, Big Query, mySQL, PostGres, Mongo and DocumentDB. * At least 2 years of experience in Senior role mentoring developers * Understanding of Object Oriented Programming / Analysis and Design concepts, Design Patterns, and Software Development Life Cycle * Experience in a continuous integration process, employing a CI server, automated unit testing and deployment * Strong experience with Git and knowledge on using Github CoPilot * Understanding of Cloud Architecture - AWS is mandatory * Design, develop, and test ELT processes per business requirements, following the development standards and best practices as well as participate in code peer reviews to ensure ELT applications and code process comply with industry best practices * Strong knowledge and experience in data modeling & design with relational and NoSQL DBs * Demonstrated expertise in performance tuning in various DB environments * Experience building and scaling distributed, highly available systems in cloud env (AWS) * Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Nice to haves * Knowledge on DBT core for ELT processing * Knowledge on AWS services like Bedrock, Sagemaker, Amazon Glue ABOUT SAVVAS We are proud to be recognized as a Top Workplace. Our employees are our most valuable asset, and we are committed to creating a work environment that promotes their growth, well-being, and success. We develop learning solutions that empower educators and improve student outcomes thanks to our team's passion, creativity, and dedication. TOTAL REWARDS At Savvas, compensation is only one part of our total rewards package. We invest in our employees with a rewards package that combines compensation, exceptional benefits and wellness programs in addition to opportunities for professional growth. This role may also be eligible for bonus or incentive compensation. The posted hiring range reflects our good faith estimate at the time of posting and remains subject to modification. Compensation is determined by factors such as but not limited to skills, experience, budget, and internal equity. BENEFITS Starting on Day One we are committed to the health, well-being, and development of our employees. As a Savvas employee, you are eligible to participate in benefits that put you first. Our benefits include a wide range of offerings including but not limited to the following: • Medical Coverage: Choose from three distinct medical plan options. HSA/FSA options available., • Prescription Drug Benefits: Automatically included when you enroll in any medical plan., • Dental & Vision Coverage: Available to all benefits-eligible employees., • Time to Recharge: Vacation time and 10 paid holidays., • Time to Recover: Sick time and leave programs., • Financial Wellness: Employees can start securing their financial future without any delay with a 401(k) match and immediate vesting., • Wellness Programs: We recognize the importance of emotional and mental well-being, both in our work environment and in our personal lives. We are committed to providing resources and support to promote overall well-being and a healthy work-life balance. Savvas Learning Company is an Equal Opportunity Employer. Savvas Learning complies with all applicable federal, state, and local laws regarding recruitment and hiring. Savvas prohibits discrimination against individuals based on race, color, religion, national origin, sex, age, disability, and other protected group status. We strive to create a fair and inclusive workplace where everyone feels valued and respected. ___. Savvas Learning Company is an affirmative action employer and participates in ___ Notice to California Applicants: Information collected and processed as part of your Savvas Careers profile, and any job applications you choose to submit is subject to ___.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Reporting to an Associate Director, this live-in position oversees community development and provides a living learning experience for undergraduate students living in one or more residence halls. Residence Hall Directors (RHDs) are professionals responsible for program development, oversight of Resident Advisers, advisement of a Hall Council and support of students living in one building. RHDs assume collateral assignments with partnered offices to offer educational programming to undergraduate students. RHDs provide crisis intervention, resolve issues, or refer as appropriate. Strong administrative and counseling skills are utilized. RHDs conduct initial investigation of alleged University and residence hall policy violations. RHDs must be able to work autonomously, demonstrate initiative, display strong commitment to student learning, communicate effectively, and work collaboratively with colleagues and partner offices across the University. This position is assigned rotational on-call duties after-hours/weekend/holiday to address any residential emergency for the entire undergraduate residential population. As an essential staff member, RHDs may be required to respond to emergencies in addition to their on-call duties. Responsibilities • Student Wellness and Conduct: Assist students in taking responsibility for the safety and well-being of fellow community members and the physical environment. Provide support to students experiencing wellness related concerns. Document conduct concerns and adjudicate cases as needed. Keep accurate records of conflicts, student interactions, and disciplinary conferences in accordance with federal reporting standards of the Clery Act of the Department of Education. Know and communicate all school-specific and University rules and regulations in relation to residential living., • Health & Safety and On-Call: As an essential staff member, serve on the emergency crisis response team and adhere to University and department protocols and policies; share on-call coverage for campus. RHDs serve as on-site responders and follow-up on incidents, provide direction to RAs, contact other professionals around facilities, health and public health concerns (e.g., pandemic), emotional and behavioral emergencies, suicidal behavior, sexual assaults, and police activity; liaise with medical facilities/hospitals; and appropriately notify parents and guardians. Counsel, advise, and provide referrals for residents in need of professional services., • Administration: Attend required meetings, including departmental, area, committee, one-on-ones, and Hall Council. Maintain program calendar for residential community. Support check-in and check-out, including summer session if applicable. Responsible for hall budget and day-to-day spending., • Resident Adviser oversight & development: RHD will train and oversee 8-16 Resident Advisers), facilitate weekly team meetings, and implement and initiate individual and team development in the residence hall community. RHD is an active and visible presence at meetings and events beyond usual business hours., • Student & community development: Build a sense of community supporting a living and learning environment: Advise Hall Council, providing direction and information on University policies and procedures. Serve as a partner in students' development, establishing partnerships with appropriate offices., • Campus Partnerships & Committee Work: Work with appropriate staff to monitor the up-keep of the residence halls; supervise a monthly building tour; support students' efforts to maintain residence halls. Serve as Chair, Co-Chair, or member of departmental committee. Staff large-scale, community events. Serve on additional teams or committees within Undergraduate Student Life or the University., • Professional Development: Commit to on-going professional growth and learning. Assess programs to improve the quality of the residential experience., • Bachelor's degree and/or its equivalent, • Minimum two years' related experience, • Demonstrated knowledge of residence life, student wellness, leadership development, multicultural theory and program development, • Strong communication skills with young adults from diverse backgrounds, • Exceptional interpersonal skills with the ability to exercise a high degree of diplomacy and discretion are essential, • Well-organized administrative skills and computer literacy; Specifically, must be well versed in using web-based programs, Microsoft Office, and email Preferred Qualifications • Master's Degree in Higher Education, Student Personnel Administration, Counseling or related field Columbia University is committed to the hiring of qualified local residents.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Associate Applied AI Engineer supports the development, deployment, and maintenance of artificial intelligence applications for the Columbia University Irving Medical Center (CUIMC). This role contributes to the design and implementation of AI-enabled solutions that support administrative, research, clinical, and educational operations across the institution. Working closely with senior engineers and cross-functional teams, the Junior Engineer assists in building applications that leverage large language models (LLMs), retrieval-augmented generation (RAG), automation frameworks, and machine learning techniques. This role focuses on implementing AI solutions, supporting application deployment, and ensuring systems operate securely, efficiently, and in alignment with institutional policies and governance standards. Responsibilities Essential Duties: AI Development and Implementation • Design, develop, and maintain AI-enabled applications utilizing retrieval-augmented generation (RAG) techniques to enhance knowledge discovery, automate workflows, and support decision-making across CUIMC operations., • Build scalable AI tools and services that integrate with ___CUIMC administrative, clinical, research, and educational systems., • Develop rapid proof-of-concept prototypes to evaluate ___new technologies and demonstrate solution feasibility to stakeholders., • Troubleshoot AI applications and assist with diagnosing and resolving technical or performance issues in development or production environments., • Monitor emerging developments in artificial intelligence, machine learning frameworks, and generative AI technologies relevant to healthcare and higher education., • Prototype solutions using open-source tools and AI platforms present demonstrations or findings to internal stakeholders., • Support the design and deployment of AI solutions that prioritize privacy, transparency, security, and ethical use of data., • Adhere to CUIMC policies related to data governance, compliance, and institutional review requirements., • Partner with engineers, analysts, data scientists, and institutional stakeholders to design and implement AI-enabled solutions., • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Statistics, or equivalent combination of education and experience., • Minimum 4 years of professional experience in software engineering, artificial intelligence, machine learning, data engineering, or ___a related technical field., • Experience with at least one programming language commonly used for AI or application development (e.g., Python, JavaScript, TypeScript, Java, or C#)., • Experience developing, testing, and maintaining software applications, data pipelines, or AI-enabled solutions., • Strong analytical and problem-solving skills with the ability to translate technical concepts into practical solutions., • Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Statistics, or ___a related discipline., • Experience developing applications that leverage large language models (LLMs), generative AI tools, or retrieval-augmented generation (RAG)., • Familiarity with AI development frameworks or orchestration tools such as LangChain, LlamaIndex, or similar technologies., • Experience deploying applications or machine learning workflows in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure., • Exposure to AI platforms such as Amazon Bedrock, Google Vertex AI, or Azure AI Studio., • Experience working with natural language processing (NLP), data extraction, or analytics involving structured and unstructured data. Columbia University is committed to the hiring of qualified local residents.