687 jobs found in Virginia

A Healthier Future Starts With You! As a Sweetgreen Team Member , youre more than a restaurant employee youre part of a movement to connect people to real food and create meaningful guest experiences every day. Whether youre on the line, prepping ingredients, or welcoming guests, you play a key role in delivering first-class hospitality and food thats fresh, fast, and thoughtfully made all in a supportive, high-energy environment. Join our mission to reshape fast food and grow your own future too. Top-performing Team Members can advance into leadership and General Manager pathways within 3 years. What Youll Actually Do Deliver warm, genuine hospitality making every guest feel welcomed, cared for, and valued Prep and serve fresh food with speed and precision, ensuring great taste, portions, and presentation Build accurate, high-quality orders that meet Sweetgreens food and brand standards Keep your station clean, stocked, and organized to support smooth service and strong flow Follow food safety, sanitation, and allergen protocols to protect guest trust and team standards Work seamlessly with teammates to balance prep, service, and restocking especially during busy shifts This Role is a Great Fit If You Care about food, hospitality, and creating positive guest experiences Love working in fast-paced, people-centered environments Take pride in being reliable, detail-oriented, and quality-driven Enjoy learning new skills and growing across multiple stations Bring energy, accountability, and a team-first mindset to every shift Want a job that offers growth, stability, and long-term opportunity The Perks Tips (subject to location and role) Competitive wages This role is a key step toward Shift leader and Manager opportunities Medical, dental, and vision options for part-time and full-time team members Paid vacation, wellness time, and parental leave Free meal every shift 401(k) Team Member Merch Shop - earn and buy custom Sweetgreen gear Depending on eligibility Minimum Requirements Must be available to work a minimum of 12 hours per week Lifting: Routinely handling items up to 5-25 lbs and occasionally handling items 40-50 lbs Bending: For accessing low areas and handling items. Reaching: For accessing high areas and handling items, includes building salads and restocking ingredients Standing/Walking: Extended periods, including moving between areas Squatting: For accessing low areas and handling items Pulling: Managing tasks that require pulling items or equipment Manual Dexterity: Typing, interacting with systems, handling tools (knives, thermometers, POS systems), and managing cleaning tools Physical Mobility: Navigating stairs, doors, ramps, elevators, and using equipment Physical Endurance: Maintaining energy and efficiency through long shifts and peak periods Coordination: Balance, multitasking, and handling bulky items or equipment in tight spaces Must be 18 years of age or older Must be authorized to work in the United States Who We Are Sweetgreen is a national restaurant brand dedicated to building healthier communities by connecting people to real food. Since 2007, Sweetgreen has reimagined fast food to be fresh, flavorful, and rooted in relationships with farmers and communities. As we grow, we are committed to developing our people across our restaurants and support center so everyone can be part of the movement. When you join Sweetgreen, you not only invest in your own future but also help create spaces where food, people, and purpose come together. Sweetgreen provides equal opportunities for everyone who works for us and everyone who applies to join our team, without regard to sex or gender, gender identity, gender expression, age, race (including traits historically associated with race, such as hair texture and protective hairstyles), religious creed, color, national origin, ancestry, pregnancy, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, any service, past, present, or future, in the uniformed services of the United States (military or veteran status), or any other consideration protected by federal, state, or local law. California residents: Review our applicant privacy notice HERE . Sweetgreen participates in the federal government's E-Verify program to determine employment eligibility. To learn more about the E-Verify program, please CLICK HERE . To request an accommodation as permitted by law, click here . Required Preferred Job Industries Other

Futures start here. Where first steps, new friendships, and confident learners are born. At KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award , we offer a variety of early education and child care options for families. Whether it's KinderCare Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share. And we want you to join us in shaping it-in neighborhoods, at work, and in schools nationwide. When you join Champions, you'll be supporting hardworking families and elementary-aged kids during out-of-school time, on school grounds. Whether you're partnering with administrators to bring our programs to their district, or buddying up with students to aim higher, think bigger, and never give up, you'll be leading the way toward inspired learning. If you're passionate about inspiring children and teachers alike to learn and grow, the Site Director role could be for you! Site Directors are passionate about educational excellence and empowering confident teachers. As a Site Director, you will use our nationally recognized curriculum as a framework to create unique and engaging classroom experiences. Site Directors are committed to making their site successful and know that important relationships with children, families, and their team are critical to success. Successful Site Directors are fully engaged, enthusiastic about their work, and eager to share their knowledge. When you join our team as a Site Director, you will: Lead and supervise a group of teachers to create unique and engaging classroom experiences, leverage and develop "best in class" educators to be passionate and committed professionals Ensure your site is operating effectively; maintain licensing, safety, and educational standards Partner with parents with a shared desire to provide the best care and education for their children Cultivate positive relationships with families, teachers, school and district leaders, state licensing authorities, community contacts, and corporate partners Lead recruitment and enrollment efforts of new families and children in our sites Required Skills and Experience: At least one year of teaching experience with the ability to develop, engage, and inspire a team A love for children and a strong desire to make a difference every day Ability to build relationships with families and staff and create a dynamic environment where play and discovery go hand-in-hand Outstanding customer service skills, strong organizational skills, multi-task and manage multiple situations effectively Meet state specific guidelines for the role Be physically able to use a computer with basic proficiency, lift a minimum of 40 pounds, and work indoors or outdoors. Be able to assume postures in low levels to allow physical and visual contact with children, see and hear well enough to keep children safe, and engage in physical activity Read, write, understand, and speak English to communicate with children and their parents in English Range of pay $16.35 - $33.15 Hourly Our benefits meet you where you are. We're here to help our employees navigate the integration of work and life: - Know your whole family is supported with discounted child care benefits. - Breathe easy with medical, dental, and vision benefits for your family (and pets, too!). - Feel supported in your mental health and personal growth with employee assistance programs. - Feel great and thrive with access to health and wellness programs, paid time off and discounts for work necessities, such as cell phones. - and much more. We operate research-backed, accredited, and customizable programs in more than 2,000 sites and centers across 40 states and the District of Columbia. As we expand, we're matching the needs of more and more families, dynamic work environments, and diverse communities from coast to coast. Because we believe every family deserves access to high-quality child care, no matter who they are or where they live. Every day, you'll help bring this mission to life by building community and delivering exceptional experiences. And if you're anything like us, you'll come for the work, and stay for the people. KinderCare Learning Companies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military or veteran status, gender identity or expression, or any other basis protected by local, state, or federal law. Job Posting End Date : 2026-07-31

Futures start here. Where first steps, new friendships, and confident learners are born. At KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award , we offer a variety of early education and child care options for families. Whether it's KinderCare Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share. And we want you to join us in shaping it-in neighborhoods, at work, and in schools nationwide. When you join Champions, you'll be supporting hardworking families and elementary-aged kids during out-of-school time, on school grounds. Whether you're partnering with administrators to bring our programs to their district, or buddying up with students to aim higher, think bigger, and never give up, you'll be leading the way toward inspired learning. If you're passionate about inspiring children and teachers alike to learn and grow, the Site Director role could be for you! Site Directors are passionate about educational excellence and empowering confident teachers. As a Site Director, you will use our nationally recognized curriculum as a framework to create unique and engaging classroom experiences. Site Directors are committed to making their site successful and know that important relationships with children, families, and their team are critical to success. Successful Site Directors are fully engaged, enthusiastic about their work, and eager to share their knowledge. When you join our team as a Site Director, you will: Lead and supervise a group of teachers to create unique and engaging classroom experiences, leverage and develop "best in class" educators to be passionate and committed professionals Ensure your site is operating effectively; maintain licensing, safety, and educational standards Partner with parents with a shared desire to provide the best care and education for their children Cultivate positive relationships with families, teachers, school and district leaders, state licensing authorities, community contacts, and corporate partners Lead recruitment and enrollment efforts of new families and children in our sites Required Skills and Experience: At least one year of teaching experience with the ability to develop, engage, and inspire a team A love for children and a strong desire to make a difference every day Ability to build relationships with families and staff and create a dynamic environment where play and discovery go hand-in-hand Outstanding customer service skills, strong organizational skills, multi-task and manage multiple situations effectively Meet state specific guidelines for the role Be physically able to use a computer with basic proficiency, lift a minimum of 40 pounds, and work indoors or outdoors. Be able to assume postures in low levels to allow physical and visual contact with children, see and hear well enough to keep children safe, and engage in physical activity Read, write, understand, and speak English to communicate with children and their parents in English Range of pay $19.60 - $27.45 Hourly Our benefits meet you where you are. We're here to help our employees navigate the integration of work and life: - Know your whole family is supported with discounted child care benefits. - Breathe easy with medical, dental, and vision benefits for your family (and pets, too!). - Feel supported in your mental health and personal growth with employee assistance programs. - Feel great and thrive with access to health and wellness programs, paid time off and discounts for work necessities, such as cell phones. - and much more. We operate research-backed, accredited, and customizable programs in more than 2,000 sites and centers across 40 states and the District of Columbia. As we expand, we're matching the needs of more and more families, dynamic work environments, and diverse communities from coast to coast. Because we believe every family deserves access to high-quality child care, no matter who they are or where they live. Every day, you'll help bring this mission to life by building community and delivering exceptional experiences. And if you're anything like us, you'll come for the work, and stay for the people. KinderCare Learning Companies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military or veteran status, gender identity or expression, or any other basis protected by local, state, or federal law. Job Posting End Date : 2026-07-31

Futures start here. Where first steps, new friendships, and confident learners are born. At KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award , we offer a variety of early education and child care options for families. Whether it's KinderCare Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share. And we want you to join us in shaping it-in neighborhoods, at work, and in schools nationwide. When you join Champions, you'll be supporting hardworking families and elementary-aged kids during out-of-school time, on school grounds. Whether you're partnering with administrators to bring our programs to their district, or buddying up with students to aim higher, think bigger, and never give up, you'll be leading the way toward inspired learning. If you're passionate about inspiring children and teachers alike to learn and grow, the Site Director role could be for you! Site Directors are passionate about educational excellence and empowering confident teachers. As a Site Director, you will use our nationally recognized curriculum as a framework to create unique and engaging classroom experiences. Site Directors are committed to making their site successful and know that important relationships with children, families, and their team are critical to success. Successful Site Directors are fully engaged, enthusiastic about their work, and eager to share their knowledge. When you join our team as a Site Director, you will: Lead and supervise a group of teachers to create unique and engaging classroom experiences, leverage and develop "best in class" educators to be passionate and committed professionals Ensure your site is operating effectively; maintain licensing, safety, and educational standards Partner with parents with a shared desire to provide the best care and education for their children Cultivate positive relationships with families, teachers, school and district leaders, state licensing authorities, community contacts, and corporate partners Lead recruitment and enrollment efforts of new families and children in our sites Required Skills and Experience: At least one year of teaching experience with the ability to develop, engage, and inspire a team A love for children and a strong desire to make a difference every day Ability to build relationships with families and staff and create a dynamic environment where play and discovery go hand-in-hand Outstanding customer service skills, strong organizational skills, multi-task and manage multiple situations effectively Meet state specific guidelines for the role Be physically able to use a computer with basic proficiency, lift a minimum of 40 pounds, and work indoors or outdoors. Be able to assume postures in low levels to allow physical and visual contact with children, see and hear well enough to keep children safe, and engage in physical activity Read, write, understand, and speak English to communicate with children and their parents in English Range of pay $19.60 - $27.45 Hourly Our benefits meet you where you are. We're here to help our employees navigate the integration of work and life: - Know your whole family is supported with discounted child care benefits. - Breathe easy with medical, dental, and vision benefits for your family (and pets, too!). - Feel supported in your mental health and personal growth with employee assistance programs. - Feel great and thrive with access to health and wellness programs, paid time off and discounts for work necessities, such as cell phones. - and much more. We operate research-backed, accredited, and customizable programs in more than 2,000 sites and centers across 40 states and the District of Columbia. As we expand, we're matching the needs of more and more families, dynamic work environments, and diverse communities from coast to coast. Because we believe every family deserves access to high-quality child care, no matter who they are or where they live. Every day, you'll help bring this mission to life by building community and delivering exceptional experiences. And if you're anything like us, you'll come for the work, and stay for the people. KinderCare Learning Companies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military or veteran status, gender identity or expression, or any other basis protected by local, state, or federal law. Job Posting End Date : 2026-07-31

Futures start here. Where first steps, new friendships, and confident learners are born. At KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award , we offer a variety of early education and child care options for families. Whether it's KinderCare Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share. And we want you to join us in shaping it-in neighborhoods, at work, and in schools nationwide. When you join Champions, you'll be supporting hardworking families and elementary-aged kids during out-of-school time, on school grounds. Whether you're partnering with administrators to bring our programs to their district, or buddying up with students to aim higher, think bigger, and never give up, you'll be leading the way toward inspired learning. If you're passionate about inspiring children and teachers alike to learn and grow, the Site Director role could be for you! Site Directors are passionate about educational excellence and empowering confident teachers. As a Site Director, you will use our nationally recognized curriculum as a framework to create unique and engaging classroom experiences. Site Directors are committed to making their site successful and know that important relationships with children, families, and their team are critical to success. Successful Site Directors are fully engaged, enthusiastic about their work, and eager to share their knowledge. When you join our team as a Site Director, you will: Lead and supervise a group of teachers to create unique and engaging classroom experiences, leverage and develop "best in class" educators to be passionate and committed professionals Ensure your site is operating effectively; maintain licensing, safety, and educational standards Partner with parents with a shared desire to provide the best care and education for their children Cultivate positive relationships with families, teachers, school and district leaders, state licensing authorities, community contacts, and corporate partners Lead recruitment and enrollment efforts of new families and children in our sites Required Skills and Experience: At least one year of teaching experience with the ability to develop, engage, and inspire a team A love for children and a strong desire to make a difference every day Ability to build relationships with families and staff and create a dynamic environment where play and discovery go hand-in-hand Outstanding customer service skills, strong organizational skills, multi-task and manage multiple situations effectively Meet state specific guidelines for the role Be physically able to use a computer with basic proficiency, lift a minimum of 40 pounds, and work indoors or outdoors. Be able to assume postures in low levels to allow physical and visual contact with children, see and hear well enough to keep children safe, and engage in physical activity Read, write, understand, and speak English to communicate with children and their parents in English Range of pay $19.60 - $27.45 Hourly Our benefits meet you where you are. We're here to help our employees navigate the integration of work and life: - Know your whole family is supported with discounted child care benefits. - Breathe easy with medical, dental, and vision benefits for your family (and pets, too!). - Feel supported in your mental health and personal growth with employee assistance programs. - Feel great and thrive with access to health and wellness programs, paid time off and discounts for work necessities, such as cell phones. - and much more. We operate research-backed, accredited, and customizable programs in more than 2,000 sites and centers across 40 states and the District of Columbia. As we expand, we're matching the needs of more and more families, dynamic work environments, and diverse communities from coast to coast. Because we believe every family deserves access to high-quality child care, no matter who they are or where they live. Every day, you'll help bring this mission to life by building community and delivering exceptional experiences. And if you're anything like us, you'll come for the work, and stay for the people. KinderCare Learning Companies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military or veteran status, gender identity or expression, or any other basis protected by local, state, or federal law. Job Posting End Date : 2026-07-31

Futures start here. Where first steps, new friendships, and confident learners are born. At KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award , we offer a variety of early education and child care options for families. Whether it's KinderCare Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share. And we want you to join us in shaping it-in neighborhoods, at work, and in schools nationwide. When you join Champions, you'll be supporting hardworking families and elementary-aged kids during out-of-school time, on school grounds. Whether you're partnering with administrators to bring our programs to their district, or buddying up with students to aim higher, think bigger, and never give up, you'll be leading the way toward inspired learning. If you're passionate about inspiring children and teachers alike to learn and grow, the Site Director role could be for you! Site Directors are passionate about educational excellence and empowering confident teachers. As a Site Director, you will use our nationally recognized curriculum as a framework to create unique and engaging classroom experiences. Site Directors are committed to making their site successful and know that important relationships with children, families, and their team are critical to success. Successful Site Directors are fully engaged, enthusiastic about their work, and eager to share their knowledge. When you join our team as a Site Director, you will: Lead and supervise a group of teachers to create unique and engaging classroom experiences, leverage and develop "best in class" educators to be passionate and committed professionals Ensure your site is operating effectively; maintain licensing, safety, and educational standards Partner with parents with a shared desire to provide the best care and education for their children Cultivate positive relationships with families, teachers, school and district leaders, state licensing authorities, community contacts, and corporate partners Lead recruitment and enrollment efforts of new families and children in our sites Required Skills and Experience: At least one year of teaching experience with the ability to develop, engage, and inspire a team A love for children and a strong desire to make a difference every day Ability to build relationships with families and staff and create a dynamic environment where play and discovery go hand-in-hand Outstanding customer service skills, strong organizational skills, multi-task and manage multiple situations effectively Meet state specific guidelines for the role Be physically able to use a computer with basic proficiency, lift a minimum of 40 pounds, and work indoors or outdoors. Be able to assume postures in low levels to allow physical and visual contact with children, see and hear well enough to keep children safe, and engage in physical activity Read, write, understand, and speak English to communicate with children and their parents in English Range of pay $16.35 - $33.15 Hourly Our benefits meet you where you are. We're here to help our employees navigate the integration of work and life: - Know your whole family is supported with discounted child care benefits. - Breathe easy with medical, dental, and vision benefits for your family (and pets, too!). - Feel supported in your mental health and personal growth with employee assistance programs. - Feel great and thrive with access to health and wellness programs, paid time off and discounts for work necessities, such as cell phones. - and much more. We operate research-backed, accredited, and customizable programs in more than 2,000 sites and centers across 40 states and the District of Columbia. As we expand, we're matching the needs of more and more families, dynamic work environments, and diverse communities from coast to coast. Because we believe every family deserves access to high-quality child care, no matter who they are or where they live. Every day, you'll help bring this mission to life by building community and delivering exceptional experiences. And if you're anything like us, you'll come for the work, and stay for the people. KinderCare Learning Companies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military or veteran status, gender identity or expression, or any other basis protected by local, state, or federal law. Job Posting End Date : 2026-07-31

The Virginia Tourism Corporation (VTC) is seeking a Director of Grants to lead the administration and oversight of all grant programs administered by VTC. This role will serve as the liaison between VTC and tourism industry partners. Responsibilities: Ensure effective deployment of grant funding to support tourism growth across the Commonwealth Provide technical assistance and application guidance, program education, grant evaluation, compliance monitory, and performance reporting Deliver presentations and support engagement with tourism partners and stakeholders Implement new software systems and industry trends for VTC grant programs Skills: Strong communication and organizational skills Effectively manage multiple projects simultaneously Effectively manage, lead, and develop a high-performing team Ability to work independently with minimal supervision, as well as collaboratively within a team environment Exhibit sound judgment in making decisions and maintain confidentiality on sensitive matters Comprehensive knowledge of grant administration, including program design, compliance, monitoring, and reporting Strong understanding of public-sector funding requirements and financial oversight Familiarity with tourism and economic development principles Demonstrated expertise in stakeholder engagement, program evaluation, and team leadership Proficiency using multiple software packages including Microsoft Office Suite Experience: Experience in business, public administration, communications, marketing, hospitality, or related field preferred This position will need to have the ability to telecommute, access reliable internet connectivity, and the discipline to work independently from a home office within the Commonwealth. Periodic travel to the Richmond office and throughout the Commonwealth. A valid driver's license is required. Being authorized to work in the U.S. is a precondition of employment. VTC uses the E-Verify system and does not provide sponsorship. All candidates must apply through our website . Salary range: $90,000-$115,000. Salary commensurate with experience. Application deadline: July 17, 2026. VTC is an Equal Opportunity Employer. All applicants are considered for employment without regard to race, sex, color, national origin, religion, sexual orientation, gender identity or expression, age, veteran status, political affiliation, genetics, or against otherwise qualified individuals with disabi lities. It is VEDP's intent that its employment and personnel policies and practices conform to all applicable federal, state, and local laws and regulations regarding non-discrimination and affirmative action. Applicants requiring more information or requiring assistance may contact VEDP Human Resources at 1- or . TDD 1-. Compensation details: 00 Yearly Salary PIfc84b5-

Compensation: $40-$65 an hour Flat Rate (based on experience and ASE certifications) Full-Time and Part-Time Benefits: -Medical, Dental and Vision coverage -Company paid life insurance -Matching 401(k) -Company paid ASE Certification and Career Path Development programs -Paid vacation and holidays -Employee assistance program -Employee vehicle service discounts -Safety shoes offered through the company -Employee vehicle service discounts -Safety shoes offered through the company -Tuition reimbursement for technical certifications (ASE and similar) Qualifications: - 5+ years Automotive Repair Experience -Tire Experience -ASE certifications A1, A2, A3, A4, A5, A6 (or ability to obtain within 12 months)/dealer equivalent -Ability to work a flexible retail schedule including weekends, evenings, and holidays -Valid Driver's License -Emissions Inspection License (or ability to attain within 6 months) -L1 Certification -Virginia State Inspection License (or ability to attain within 6 months) Responsibilities: -Effectively & efficiently diagnosing client vehicles while adhering to MAP guidelines & in accordance with dealer, manufacturer & company standards -Conducts vehicle inspections using paper and digital forms -Perform automotive repairs -Perform scheduled automotive maintenance services on vehicles -Shop cleanliness & maintenance A Mission with a Company - Join Us Today! PM Lube, LLC is a franchisee of Valvoline Instant Oil Change (VIOC). Our mission is to "Change Lives through Stewardship," and that starts with our great people. PM Lube, Inc. and its affiliates are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against based upon disability. We participate in the E-Verify program.

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Systems Engineer - Watch Officer (Active TS/SCI w/CI Poly Required) Job Code: 38605 Job Location: Springfield, VA (100% Onsite) Job Schedule: 5/8 Monday - Friday Job Description: L3Harris Technologies is seeking a Watch Officer to support a critical National Security Program. The successful candidate will join a high-performing team of government and contractor professionals supporting 24/7 operations in a fast-paced environment focused on advancing the customer's space warfighting mission. As a Watch Officer, the candidate will facilitate unity of effort, enhance space domain awareness, and provide integrated assessment and tracking of ongoing operations to assist government leadership. This role demands close coordination with internal and external stakeholders, along with routine development of mission-focused analysis and operational communication. Our team is cohesive, collaborative, and mission focused. We are regularly tasked with developing operational solutions for unique and unprecedented mission objectives. Operators will train on, operate, and refine processes for advanced tools while also supporting requirements development for future capabilities. We are looking for individuals who proactively identify issues, propose innovative solutions, and help implement continuous improvements. The ideal candidate thrives in a dynamic and evolving operational environment, demonstrates exceptional initiative, maintains composure under pressure, and is motivated to grow into leadership or specialized roles within the program. This position supports 24x7 operations and requires shift work. Opportunities for advancement include non-shift work positions. Essential Functions: Draft and disseminate Situation Reports (SITREPs) that provide a concise and accurate summary of current operations, mission progress, and significant events to internal/external stakeholders. Continuously track mission activities and operational developments using advanced monitoring tools. Summarize and relay updates to government customers in real-time, ensuring that decision-makers have access to the most relevant and accurate information to guide mission-critical decisions. Provide support to internal/external exercises and rehearsal of concepts drills. Update to current operations tools to provide most up to date current operations picture. Develop and utilize model and simulation tools to analyze satellite operations and predict system behavior under various scenarios. Provide critical assistance during satellite launch and early orbit operations by contributing technical expertise, operational insights, and real-time support, as required. Actively participate in daily operations stand-up meetings to provide updates on ongoing activities, highlight key operational priorities, and address any challenges or risks impacting mission success. Provide detailed inputs for monthly in-progress reviews (IPRs), summarizing operational achievements, challenges, and areas requiring attention. Support onboarding of new and enhanced tools. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree or equivalent with 2 years prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Active Top Secret/SCI with CI Poly clearance required. At least one year of demonstrated experience in preparing and disseminating SITREP products. At least one year of proven experience delivering daily stand-up operational briefings to senior stakeholders and mission partners. Preferred Additional Skills: Experience supporting or working as part of operations teams, with a demonstrated ability to collaborate in dynamic, high-pressure environments to achieve mission objectives. Possess knowledge of, or experience with, space operations, including managing and monitoring satellite systems, performing telemetry analysis, and conducting mission-critical activities such as orbital adjustments, payload operations, and anomaly resolution. Experience working with orbital state data and utilizing associated tools such as Systems Tool Kit (STK), MATLAB, FreeFlyer, or similar software. Proficiency in analyzing and interpreting orbital mechanics, satellite trajectories, and mission planning data to support operational and strategic objectives. Experience with software languages for scripting, modeling, simulations, and data transfers, including Python, PERL, or similar programming tools. Experience with Microsoft Office suite programs, MS Word, Excel, and PowerPoint. In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area is $92,500 - $171,500.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. LI-ZB1 L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

Distinguished AI Engineer (Agentic AI Platform) 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

Senior 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 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI/ML Engineer (Platform, kubeflow) 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. 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Futures start here. Where first steps, new friendships, and confident learners are born. At KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award , we offer a variety of early education and child care options for families. Whether it's KinderCare Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share. And we want you to join us in shaping it-in neighborhoods, at work, and in schools nationwide. When you join Champions, you'll be supporting hardworking families and elementary-aged kids during out-of-school time, on school grounds. Whether you're partnering with administrators to bring our programs to their district, or buddying up with students to aim higher, think bigger, and never give up, you'll be leading the way toward inspired learning. If you're passionate about inspiring children and teachers alike to learn and grow, the Site Director role could be for you! Site Directors are passionate about educational excellence and empowering confident teachers. As a Site Director, you will use our nationally recognized curriculum as a framework to create unique and engaging classroom experiences. Site Directors are committed to making their site successful and know that important relationships with children, families, and their team are critical to success. Successful Site Directors are fully engaged, enthusiastic about their work, and eager to share their knowledge. When you join our team as a Site Director, you will: Lead and supervise a group of teachers to create unique and engaging classroom experiences, leverage and develop "best in class" educators to be passionate and committed professionals Ensure your site is operating effectively; maintain licensing, safety, and educational standards Partner with parents with a shared desire to provide the best care and education for their children Cultivate positive relationships with families, teachers, school and district leaders, state licensing authorities, community contacts, and corporate partners Lead recruitment and enrollment efforts of new families and children in our sites Required Skills and Experience: At least one year of teaching experience with the ability to develop, engage, and inspire a team A love for children and a strong desire to make a difference every day Ability to build relationships with families and staff and create a dynamic environment where play and discovery go hand-in-hand Outstanding customer service skills, strong organizational skills, multi-task and manage multiple situations effectively Meet state specific guidelines for the role Be physically able to use a computer with basic proficiency, lift a minimum of 40 pounds, and work indoors or outdoors. Be able to assume postures in low levels to allow physical and visual contact with children, see and hear well enough to keep children safe, and engage in physical activity Read, write, understand, and speak English to communicate with children and their parents in English Range of pay $16.35 - $33.15 Hourly Our benefits meet you where you are. We're here to help our employees navigate the integration of work and life: - Know your whole family is supported with discounted child care benefits. - Breathe easy with medical, dental, and vision benefits for your family (and pets, too!). - Feel supported in your mental health and personal growth with employee assistance programs. - Feel great and thrive with access to health and wellness programs, paid time off and discounts for work necessities, such as cell phones. - and much more. We operate research-backed, accredited, and customizable programs in more than 2,000 sites and centers across 40 states and the District of Columbia. As we expand, we're matching the needs of more and more families, dynamic work environments, and diverse communities from coast to coast. Because we believe every family deserves access to high-quality child care, no matter who they are or where they live. Every day, you'll help bring this mission to life by building community and delivering exceptional experiences. And if you're anything like us, you'll come for the work, and stay for the people. KinderCare Learning Companies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military or veteran status, gender identity or expression, or any other basis protected by local, state, or federal law. Job Posting End Date : 2026-07-31

Senior 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Futures start here. Where first steps, new friendships, and confident learners are born. At KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award , we offer a variety of early education and child care options for families. Whether it's KinderCare Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share. And we want you to join us in shaping it-in neighborhoods, at work, and in schools nationwide. When you join Champions, you'll be supporting hardworking families and elementary-aged kids during out-of-school time, on school grounds. Whether you're partnering with administrators to bring our programs to their district, or buddying up with students to aim higher, think bigger, and never give up, you'll be leading the way toward inspired learning. If you're passionate about inspiring children and teachers alike to learn and grow, the Site Director role could be for you! Site Directors are passionate about educational excellence and empowering confident teachers. As a Site Director, you will use our nationally recognized curriculum as a framework to create unique and engaging classroom experiences. Site Directors are committed to making their site successful and know that important relationships with children, families, and their team are critical to success. Successful Site Directors are fully engaged, enthusiastic about their work, and eager to share their knowledge. When you join our team as a Site Director, you will: Lead and supervise a group of teachers to create unique and engaging classroom experiences, leverage and develop "best in class" educators to be passionate and committed professionals Ensure your site is operating effectively; maintain licensing, safety, and educational standards Partner with parents with a shared desire to provide the best care and education for their children Cultivate positive relationships with families, teachers, school and district leaders, state licensing authorities, community contacts, and corporate partners Lead recruitment and enrollment efforts of new families and children in our sites Required Skills and Experience: At least one year of teaching experience with the ability to develop, engage, and inspire a team A love for children and a strong desire to make a difference every day Ability to build relationships with families and staff and create a dynamic environment where play and discovery go hand-in-hand Outstanding customer service skills, strong organizational skills, multi-task and manage multiple situations effectively Meet state specific guidelines for the role Be physically able to use a computer with basic proficiency, lift a minimum of 40 pounds, and work indoors or outdoors. Be able to assume postures in low levels to allow physical and visual contact with children, see and hear well enough to keep children safe, and engage in physical activity Read, write, understand, and speak English to communicate with children and their parents in English Range of pay $16.35 - $33.15 Hourly Our benefits meet you where you are. We're here to help our employees navigate the integration of work and life: - Know your whole family is supported with discounted child care benefits. - Breathe easy with medical, dental, and vision benefits for your family (and pets, too!). - Feel supported in your mental health and personal growth with employee assistance programs. - Feel great and thrive with access to health and wellness programs, paid time off and discounts for work necessities, such as cell phones. - and much more. We operate research-backed, accredited, and customizable programs in more than 2,000 sites and centers across 40 states and the District of Columbia. As we expand, we're matching the needs of more and more families, dynamic work environments, and diverse communities from coast to coast. Because we believe every family deserves access to high-quality child care, no matter who they are or where they live. Every day, you'll help bring this mission to life by building community and delivering exceptional experiences. And if you're anything like us, you'll come for the work, and stay for the people. KinderCare Learning Companies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military or veteran status, gender identity or expression, or any other basis protected by local, state, or federal law. Job Posting End Date : 2026-07-31

Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)Overview 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. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Futures start here. Where first steps, new friendships, and confident learners are born. At KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award , we offer a variety of early education and child care options for families. Whether it's KinderCare Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share. And we want you to join us in shaping it-in neighborhoods, at work, and in schools nationwide. When you join Champions, you'll be supporting hardworking families and elementary-aged kids during out-of-school time, on school grounds. Whether you're partnering with administrators to bring our programs to their district, or buddying up with students to aim higher, think bigger, and never give up, you'll be leading the way toward inspired learning. If you're passionate about inspiring children and teachers alike to learn and grow, the Site Director role could be for you! Site Directors are passionate about educational excellence and empowering confident teachers. As a Site Director, you will use our nationally recognized curriculum as a framework to create unique and engaging classroom experiences. Site Directors are committed to making their site successful and know that important relationships with children, families, and their team are critical to success. Successful Site Directors are fully engaged, enthusiastic about their work, and eager to share their knowledge. When you join our team as a Site Director, you will: Lead and supervise a group of teachers to create unique and engaging classroom experiences, leverage and develop "best in class" educators to be passionate and committed professionals Ensure your site is operating effectively; maintain licensing, safety, and educational standards Partner with parents with a shared desire to provide the best care and education for their children Cultivate positive relationships with families, teachers, school and district leaders, state licensing authorities, community contacts, and corporate partners Lead recruitment and enrollment efforts of new families and children in our sites Required Skills and Experience: At least one year of teaching experience with the ability to develop, engage, and inspire a team A love for children and a strong desire to make a difference every day Ability to build relationships with families and staff and create a dynamic environment where play and discovery go hand-in-hand Outstanding customer service skills, strong organizational skills, multi-task and manage multiple situations effectively Meet state specific guidelines for the role Be physically able to use a computer with basic proficiency, lift a minimum of 40 pounds, and work indoors or outdoors. Be able to assume postures in low levels to allow physical and visual contact with children, see and hear well enough to keep children safe, and engage in physical activity Read, write, understand, and speak English to communicate with children and their parents in English Range of pay $19.60 - $27.45 Hourly Our benefits meet you where you are. We're here to help our employees navigate the integration of work and life: - Know your whole family is supported with discounted child care benefits. - Breathe easy with medical, dental, and vision benefits for your family (and pets, too!). - Feel supported in your mental health and personal growth with employee assistance programs. - Feel great and thrive with access to health and wellness programs, paid time off and discounts for work necessities, such as cell phones. - and much more. We operate research-backed, accredited, and customizable programs in more than 2,000 sites and centers across 40 states and the District of Columbia. As we expand, we're matching the needs of more and more families, dynamic work environments, and diverse communities from coast to coast. Because we believe every family deserves access to high-quality child care, no matter who they are or where they live. Every day, you'll help bring this mission to life by building community and delivering exceptional experiences. And if you're anything like us, you'll come for the work, and stay for the people. KinderCare Learning Companies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military or veteran status, gender identity or expression, or any other basis protected by local, state, or federal law. Job Posting End Date : 2026-07-31

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

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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Futures start here. Where first steps, new friendships, and confident learners are born. At KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award , we offer a variety of early education and child care options for families. Whether it's KinderCare Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share. And we want you to join us in shaping it-in neighborhoods, at work, and in schools nationwide. When you join Champions, you'll be supporting hardworking families and elementary-aged kids during out-of-school time, on school grounds. Whether you're partnering with administrators to bring our programs to their district, or buddying up with students to aim higher, think bigger, and never give up, you'll be leading the way toward inspired learning. If you're passionate about inspiring children and teachers alike to learn and grow, the Site Director role could be for you! Site Directors are passionate about educational excellence and empowering confident teachers. As a Site Director, you will use our nationally recognized curriculum as a framework to create unique and engaging classroom experiences. Site Directors are committed to making their site successful and know that important relationships with children, families, and their team are critical to success. Successful Site Directors are fully engaged, enthusiastic about their work, and eager to share their knowledge. When you join our team as a Site Director, you will: Lead and supervise a group of teachers to create unique and engaging classroom experiences, leverage and develop "best in class" educators to be passionate and committed professionals Ensure your site is operating effectively; maintain licensing, safety, and educational standards Partner with parents with a shared desire to provide the best care and education for their children Cultivate positive relationships with families, teachers, school and district leaders, state licensing authorities, community contacts, and corporate partners Lead recruitment and enrollment efforts of new families and children in our sites Required Skills and Experience: At least one year of teaching experience with the ability to develop, engage, and inspire a team A love for children and a strong desire to make a difference every day Ability to build relationships with families and staff and create a dynamic environment where play and discovery go hand-in-hand Outstanding customer service skills, strong organizational skills, multi-task and manage multiple situations effectively Meet state specific guidelines for the role Be physically able to use a computer with basic proficiency, lift a minimum of 40 pounds, and work indoors or outdoors. Be able to assume postures in low levels to allow physical and visual contact with children, see and hear well enough to keep children safe, and engage in physical activity Read, write, understand, and speak English to communicate with children and their parents in English Range of pay $16.35 - $33.15 Hourly Our benefits meet you where you are. We're here to help our employees navigate the integration of work and life: - Know your whole family is supported with discounted child care benefits. - Breathe easy with medical, dental, and vision benefits for your family (and pets, too!). - Feel supported in your mental health and personal growth with employee assistance programs. - Feel great and thrive with access to health and wellness programs, paid time off and discounts for work necessities, such as cell phones. - and much more. We operate research-backed, accredited, and customizable programs in more than 2,000 sites and centers across 40 states and the District of Columbia. As we expand, we're matching the needs of more and more families, dynamic work environments, and diverse communities from coast to coast. Because we believe every family deserves access to high-quality child care, no matter who they are or where they live. Every day, you'll help bring this mission to life by building community and delivering exceptional experiences. And if you're anything like us, you'll come for the work, and stay for the people. KinderCare Learning Companies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military or veteran status, gender identity or expression, or any other basis protected by local, state, or federal law. Job Posting End Date : 2026-07-31

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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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