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Overview The Clinical Manager provides clinical leadership, oversight, and operational support within the Personal Care department. This role serves as a key clinical resource supporting authorization review, care coordination, documentation compliance, staff supervision, and patient escalation management across managed care, MLTC, private pay, and skilled cases. This leader partners closely with field staff, internal departments, payors, providers, and care managers to ensure safe, compliant, and timely delivery of services. What We Provide • Referral bonus opportunities, • Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays, • Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life Disability, • Employer-matched retirement saving funds, • Personal and financial wellness programs, • Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care, • Generous tuition reimbursement for qualifying degrees, • Opportunities for professional growth and career advancement, • Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities Provide clinical guidance to the Authorization/Denials unit and resolve escalations. * Review Start of Care (SOC) and ongoing authorizations for accuracy and appropriateness. * Provide daily clinical triage support and participate in rotating weekend on-call coverage. * Supervise and support 3–6 full-time Registered Nurse Field Supervisors (RNFS) and per diem staff. * Lead onboarding, orientation, shadowing, and role-based training. * Provide ongoing supervision related to assessments, documentation, patient care, and regulatory compliance. * Review clinical documentation to ensure alignment across assessments, POCs, PPOCs, 485s, and visit notes. * Investigate documentation discrepancies and ensure timely resolution. * Monitor reports to identify gaps in Plans of Care and coordinate corrective action. * Partner with Quality Assurance on audits, chart reviews, and quality improvement initiatives. * Coordinate care with providers, payors, care managers, and internal teams. * Conduct member and caregiver outreach to resolve complaints, clinical concerns, and service issues. * Serve as a clinical escalation point for complex cases. * Provide ongoing clinical education to RNFS, field staff, and Home Health Aides. * Complete monthly RN education reporting and participate in case conferences and interviews. * Support payroll, PTO tracking, onboarding, and training logistics. * Oversee private pay and skilled case readiness, ensuring proper orders and coordination prior to service initiation. * Hybrid role: * 2 days required on-site in office * 3 days remote * Schedule subject to change Qualifications * Current NYS Registered Professional Nurse (RN) license required * Associate’s Degree in Nursing required; Bachelor’s Degree preferred * Minimum 3 years of professional nursing experience * Home care, case management, or supervisory experience preferred * Strong clinical judgment, leadership, and communication skills * Proficiency in HHAX and Microsoft Office * Ability to manage multiple priorities and clinical escalations Pay Range USD $93,400.00 - USD $116,800.00 /Yr. About Us VNS Health is one of the nation’s largest nonprofit home and community-based health care organizations. Innovating in health care for more than 130 years, our commitment to health and well-being is what drives us — we help people live, age and heal where they feel most comfortable, in their own homes, connected to their family and community. On any given day, more than 10,000 VNS Health team members deliver compassionate care, unparalleled expertise and 24/7 solutions and resources to the more than 43,000 “neighbors” who look to us for care. Powered and informed by data analytics that are unmatched in the home and community-health industry, VNS Health offers a full range of health care services, solutions and health plans designed to simplify the health care experience and meet the diverse and complex needs of the communities and people we serve in New York and beyond.

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow. Director/General Manager of Class Creator Description/Background: Pigeonhole Software - Class Creator (CC) is a proven web-based software solution that delivers automated class design and student wellbeing solutions to customers in more than 20 countries – but predominantly in Australia and the USA. Our tailor-made software automates manual tasks performed by teachers, freeing them to focus on improving school and student outcomes. Class Creator is the trusted solution of choice in over 1,500 schools around the world. Summary of the Position The Director/General Manager (DGM), Class Creator carries dual accountability of leading the CC business and carrying the responsibility for increasing revenue growth through new sales and upsell to existing clients in both established territory and breaking into new markets. CC has scaled rapidly in recent years, and the DGM will be expected to accelerate that growth in all target markets but particularly in the USA. As the most senior member and leader of the CC team, the role carries a broad remit across multiple core functions. The DGM will manage the core operations team based out of Australia which includes the development resources, (2) Developers + (2) offshore contractors, (1) Operations Coordinator, (1) AUS based Sales Representative and (1) Marketing Manager, as well as the US based team comprised of the (2) Customer Success Managers and the (2) Sales Representatives. The DGM will work closely with the AUS Finance team and AUS Marketing Director. The DGM manages various sales teams such as outsides sales, inside sales, channel sales or third party sales responsible for market penetration through campaigns that deliver incremental revenue from new and/or existing clients. Defines and communicates the sales process and the sales effectiveness drivers. Leads and fosters co-operation and collaboration with other functions within the business to maximize efficiency to provide an integrated response to clients' needs. Setting/Executing Strategy and Financial Results Create a vision for the CC Team, and to inspire and lead the broader organization to buy-in, work toward and achieve that vision. Design and execute pragmatic revenue growth plans across existing and new markets. Carry accountability for achieving allocated revenue growth targets across all assigned customer types and geographies. Manage individual performance against plans and report on performance to the leadership team at a team and individual level. Setting/Executing Sales and Marketing Strategy Develop and provide effective consultative sales support to new sales and client services team. Designs pricing models for licensing fees, annual fees, professional service fees, and value added services. Packages new products and services for cross sale to existing clients. Monitors revenue generation in order to secure delivery of financial objectives established in the annual budget. Secures invoicing and revenue recognition. Identifies, negotiates and secures potential business partnerships in order to enhance products and services to new and existing customers. Provides the oversight and control over all aspects of the sales process including qualification criteria and the allocation of leads and opportunities to sales Reps, solution design guidance and approval, content of final response, approval on final customer prices and all legal and commercial negotiation. Maintains accurate pipelines to ensure revenue forecasts are properly reported. Directs campaigns to drive market penetration. Sets the target client profile and metrics to be met by the sales team for the campaign. Approves campaign budget and agent activities and reviews results to determine further investment decisions into that market. Evaluates and assesses industry trends and specific strategies being implemented by key competitors. Works with product and other key internal stakeholders to create market competitive offerings and specific sales strategy to win business from the competition. Executing for Results Set and achieve clear and challenging goals while committing the organization to improved performance; tenacious and accountable in driving results. Provides timely and accurate commercial reporting on business performance, and is capable of presenting and explaining data succinctly and clearly to a diverse range of senior stakeholders. Must be prepared to operate across geographies, including spending extended periods of time in-market both domestically (Australia) and internationally (USA, Canada and potentially other prospective international markets). Work collaboratively across all parts of CC and the broader regional Software business to drive team and organisational success. Minimum Skills and Experience Bachelors Degree from an accredited university and relevant experience in a related field is required Experience in lieu of a degree may be considered, which is typically a minimum 8-10 years in a related profession, including a minimum of 5-6 years' experience in a managerial position Excellent problem solving, troubleshooting, consultation and negotiation skills with the ability to engage with all stakeholder levels Proficient written and verbal communications along with excellent presentation skills, attention to detail, timelines and metrics. To perform this job successfully an individual should have experience with web-based systems and corporate tools such as Microsoft 365, Oracle, Salesforce, etc Preferred Qualifications Masters Degree in a related field Related field of study from an accredited university A recognized tertiary qualification in an appropriate discipline (preferably education). Prior 3-5+ years’ experience in a similar role. Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact ___.

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow. About Global Payments Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our products and unmatched services. Simply, we create meaningful technology centered experiences that enable our customers to prosper. If you want to join a company that unifies every aspect of commerce through software solutions while supporting and serving business owners—then your expertise will be a perfect fit on our dynamic team here at Global Payments. If it's in your nature to work with a passion to provide tangible solutions for everyone you interact with, then join us and let's see what we can accomplish together. Job Summary Responsible for prospecting and running Global Payments Point of Sale presentations both in person and over the phone to small and mid-sized merchants, restaurateurs, and businesses to ultimately close deals within a fast sales cycle. As a Software Relationship Manager (SRM) you will report to a District Manager and receive coaching from a Director. Activities include explaining our value proposition and demonstrating our cloud based Point of Sale solution, upselling current clients on other Global Payments products and services, and maintaining regular communication with the Point of Sale District Manager. Compensation Ready to grow your career and your paycheck? Here’s the breakdown * Base Salary: $50,000 * Residual Income: Keep earning from your hard work * Monthly/Quarterly Bonuses: Extra financial incentives for exceeding quota and achieving sales goals. Annual On-Target Earnings (OTE): $100,000+ Your total compensation will depend on your skills, performance, and location. Let’s build your future together – Apply now! Job Duties Your role as a SRM is to close sales of our business solutions with merchants throughout the area. You will work closely with your local District Manager to set appointments with business owners in person via your network and referral partnerships that you build. You will then run scheduled appointments, uncover needs, and present Global Payments Point of Sale solutions to close sales in small to mid-sized businesses. During the training period, your District Manager will accompany you on your initial appointments to train you on our short-cycle sales process using our CRM platforms Atlas and Salesforce, used for lead generation, sales presentations, on the spot client financial analysis and paperless contract processing. Additional Responsibilities * Responsible for prospecting new clients. * Maintain existing/prospective client records, in accordance with company policies, to include call notes, scheduled client interactions, contact information, and other relevant client information, in the Customer Relationship Management (CRM) system; currently Atlas. * Responsible for achieving minimum production requirements, including setting first time appointments, to secure quota. * Continuously build and develop knowledge of current product/service portfolio as well as changes and developments within the financial technology industry, to remain up-to-date. * Attend weekly team meeting and weekly one-on-one with leader. * Additional responsibilities may be assigned as needed. Desired Skills & Capabilities * Excellent prospecting, communication, presentation, and networking skills * Works well independently and as part of a team * Incentive-driven sales “hunter” * Professional demeanor and impeccable integrity * High sense of urgency and innate sales talent * Enjoys cold-calling and speaking with people face to face * Knowledge of Restaurant and/or Retail industry is a plus Minimum Qualifications * 18 years of age or older * This position requires regular driving to visit client sites, therefore a valid drivers license is necessary * Live in area relative to job posting location * Ability to be in the field, a minimum of 75% of the time Preferred Qualifications * High school diploma/GED * At least two years of relevant experience Competencies * Awareness * Driven * Resilient * Respectful * Committed Please note that the deadline for applications is 5/31/2026 Candidates and applicants are advised they may redact age information from requested items like transcripts, resumes, and certificates attached to their application for positions that can be performed in Colorado. Benefits Global Payments offers a comprehensive benefits package to all of our team members, including medical, dental and vision care, EAP programs, paid time off, recognition programs, retirement and investment options, charitable gift matching programs, and worldwide days of service. To learn more, review our Benefits page at: Diversity and EEO Statements Global Payments is an organization that stands against racism, intolerance and injustice in all its forms — one that respects, honors and celebrates the diversity of our team members and the differences among us. Our commitment to fostering a company culture that values and respects Inclusion and Diversity is steadfast. Standing together as one company, we will continue to work to drive positive change for the communities in which we live and work and stamp out injustice. Global Payments is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department. #LI-DC1 #LI-Hybrid Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact ___.

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow. About Global Payments: Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers through our innovative payment and software solutions. We’re a Fortune 500 company that combines cutting-edge technology with exceptional service to help businesses of every size grow and prosper. If you’re passionate about helping business owners thrive—and you love selling technology that transforms the way they run their operations—join our dynamic, growth-minded team. Together, we’ll shape the future of commerce. Job Summary: As an Outside Sales Executive, Payment Technology, you’ll be on the front lines helping small and mid-sized merchants modernize how they run their business through Genius®, our industry-leading Point of Sale and payment platform. You’ll manage the full sales cycle—from prospecting and lead generation to running demos, negotiating, and closing deals. You’ll work closely with your District Manager and sales leadership for coaching and support while driving your own success in a fast-paced, high-reward environment. This is a role for driven, tech-savvy sales professionals who want to make an impact—selling real solutions that help local businesses simplify operations, improve customer experience, and grow revenue. What You’ll Do: * Sell Genius® and other Global Payments solutions to small and mid-sized businesses across restaurant, retail, and service industries. * Develop and manage a consistent pipeline through field prospecting, digital outreach, and local networking. * Deliver consultative, value-based presentations both in-person and virtually to demonstrate how Genius® helps businesses streamline payments, improve operations, and increase customer loyalty. * Collaborate with your District Manager to identify new opportunities, set appointments, and close sales within a short cycle. * Maintain accurate pipeline and activity tracking in Atlas and Salesforce, including call notes, follow-ups, and client communications. * Upsell and cross-sell existing merchants on new features, software add-ons, and hardware upgrades. * Stay current on the fintech landscape, industry trends, and product updates to position yourself as a trusted technology advisor. What You Bring: * Proven success in B2B sales, preferably in SaaS, fintech, or merchant services. * Strong communication, presentation, and negotiation skills—comfortable selling both face-to-face and virtually. * High energy, self-motivated, and competitive—driven to exceed targets. * Professional presence and genuine ability to connect with business owners. * Familiarity with the restaurant or retail industries is a plus. * Valid driver’s license and ability to spend at least 75% of your time in the field. Minimum & Preferred Qualifications: * Must be 18 years or older. * High school diploma or GED required; college degree preferred. * Two or more years of relevant B2B sales experience. * Must live within the geographic area of the posting. Compensation: Annual On-Target Earnings (OTE): $100,000+ Base Salary: $40,000 Residual Income: Keep earning monthly from the accounts you build. Bonuses: Monthly and quarterly incentives for surpassing quota and achieving stretch goals. Annual Range: $100,000-$150,000 Your total compensation depends on your performance, skills, and territory—your success is in your hands. Benefits: Global Payments offers a comprehensive benefits package including medical, dental, and vision coverage, paid time off, retirement programs, charitable gift matching, and more. Learn more at ___. Our Culture: We honor and celebrate the diversity of our team members and the communities we serve. Our commitment to inclusion, respect, and belonging drives everything we do. Diversity and EEO Statements: Global Payments is an organization that stands against racism, intolerance and injustice in all its forms — one that respects, honors and celebrates the diversity of our team members and the differences among us. Our commitment to fostering a company culture that values and respects Inclusion and Diversity is steadfast. Standing together as one company, we will continue to work to drive positive change for the communities in which we live and work and stamp out injustice. Global Payments Company provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department. #JS1 #LI-Hybrid Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact ___.

Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Fleet Supervisor to join our UniFirst community. As a Supervisor in the Maintenance Department, you will be ensuring our fleet vehicles are properly functioning and regularly maintained as well as managing and mentoring our Fleet Technicians. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime. We have an immediate opening and provide on the job training. Pay & Benefits: On the job training & great hourly pay + 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Direct Payroll Deposit, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds. We believe our diversity makes us who we are, and we strive every day to build a culture where everyone feels welcome. What you’ll be doing: • Manage overall upkeep and maintenance of fleet vehicles., • Verify that the appearance of fleet vehicles meet UniFirst standards., • Ensure vehicle compliance and safety requirements are met., • Implement preventative maintenance programs for vehicles and equipment, and schedule predictive & preventative maintenance., • Mentor, manage, and motivate performance of Fleet Technicians., • Provide ongoing learning and development opportunities for all Team Partners., • Produce reports related to work performance and departmental budget., • Develop and maintain relationships with vendors to ensure best pricing for vehicle parts., • Plow and salt location parking lot as needed., • Utilize a Computerized Maintenance Management System. What we’re looking for: • High school diploma or GED required., • Must be 21 years of age or older., • 5 years of equivalent experience required., • Valid driver's license and a safe driving record are required. A CDL license is preferred., • Must meet DOT requirements., • Strong leadership and communication skills; ability to train potential techs., • Must have experience in the use of diagnostic software and fleet management systems., • Ability to work overtime as needed is required. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 2 billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 14,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you need accommodation for any part of the application process because of a medical condition or disability, please send an e-mail to ___ or call ___ to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and job placement services, and personalized coaching and mentorship through four unique career pathways. Year Up United participants also receive an educational stipend. If you’re someone who’s passionate about building relationships or has an entrepreneurial mindset and are looking to gain exposure to running a business, the Customer Experience job training pathway could be the right fit for you. The Customer Experience pathway combines technical and professional training in Banking or Customer Success, with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at JPMorganChase or Bank of America among other leading organizations in the Newark area. Are you eligible? You can apply to Year Up United if you are: • A high school graduate or GED recipient, • Eligible to work in the U. S., • Available Monday-Friday throughout the duration of the program, • Highly motivated to learn technical and professional skills, • Have not obtained a Bachelorʼs degree Career growth paths include: • Financial advisory, • Sales specialist, • Product Support, • Sales operations and analytics

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and job placement services, and personalized coaching and mentorship through four unique career pathways. Year Up United participants also receive an educational stipend. If you’re someone who’s passionate about building relationships or has an entrepreneurial mindset and are looking to gain exposure to running a business, the Customer Experience job training pathway could be the right fit for you. The Customer Experience pathway combines technical and professional training in Banking or Customer Success, with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at JPMorganChase or Bank of America among other leading organizations in the Newark area. Are you eligible? You can apply to Year Up United if you are: • A high school graduate or GED recipient, • Eligible to work in the U. S., • Available Monday-Friday throughout the duration of the program, • Highly motivated to learn technical and professional skills, • Have not obtained a Bachelorʼs degree Career growth paths include: • Financial advisory, • Sales specialist, • Product Support, • Sales operations and analytics

Senior Lead AI Engineer (Remote-Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity. 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. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Sr Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do 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. New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Asset Management Risk (Crypto) Note: Fidelity is not providing immigration sponsorship for this position. The Manager, Asset Management Risk (Crypto) is responsible for delivering operational risk oversight for Fidelity Digital Asset Management and its related businesses. In this role, you will work across business, technology, product, legal, compliance, and operations to assess operational readiness for launching innovative crypto and blockchain products. You will evaluate, communicate, and manage operational risks associated with digital-asset initiatives and emerging regulatory developments, while developing tools and analytics to monitor operational risks across Fidelity’s digital‑assets ecosystem. The ideal candidate brings experience shaping end‑to‑end product operating models, identifying control gaps early, and partnering closely with product teams to embed strong risk and control practices throughout the product lifecycle. They possess deep technical and business expertise across blockchains, token standards, cryptocurrency products and services, and the broader DeFi ecosystem, paired with exceptional communication, presentation, and writing skills. We are seeking a strategic problem solver with a consulting mindset, creativity, analytical rigor, outstanding organizational skills, and meticulous attention to detail. The candidate should also demonstrate an entrepreneurial mindset—proactively seeking answers, driving resolution in ambiguous environments, and navigating novel blockchain‑related risk concepts with confidence. They must be comfortable operating amid uncertainty, independently exploring solutions, and shaping frameworks where established guidance may not yet exist. • Support the development and launch of innovative new products involving crypto and blockchain technology in a risk-managed way, • Perform proactive and targeted data analysis and risk assessments to identify risks for management., • 5+ years of relevant work experience, ideally building crypto/blockchain products and services, • Deep understanding of blockchain features and capabilities, including but not limited to: • Blockchain transactions and the ability to conduct blockchain analysis, with experience in trade execution, settlement, and reconciliation processes for crypto assets, • Blockchain Architecture (L1s, L2s, cross-bridges, and oracles), • Crypto market structure (trade execution venues, derivatives market, regulatory frameworks, and liquidity providers), • Tokenization (on-chain asset creation, token standards, use cases, operational considerations), • Smart Contracts (vulnerabilities, permission structure, interpreting audit reports), • Staking (e.g., delegation models), • Crypto custody (hot/cold wallets, private key management, and working knowledge of multi-signature vs multi-party computation arrangements) • Strong interpersonal skills, with a demonstrated ability to partner and influence across the organization and collaborate in an interdisciplinary fashion, • Dexterity in cultivating close working relationships with business, technology, operations, legal, and compliance teams, • Comfort navigating ambiguity and working in a high-growth, fast-paced environment, • Demonstrated ability to operate autonomously to achieve results in a dynamic organization where priorities shift to meet evolving business needs, • Executive level presentation skills, • Natural intellectual curiosity, initiative, and love for learning new skills and capabilities, with a desire to stay abreast of the latest innovations across the industry, • Financial services experience, in combination with the skills mentioned above, is preferred, • Project management experience a plus, • Experience with data analysis techniques and visualization tools (e.g., Tableau), a plus, • Experience with common data science tools & programming languages, a plus, • CFA and/or FRM certifications a plus Asset Management Risk, part of Fidelity’s Risk organization and aligned with Asset Management’s Compliance Risk and Business Operations Group (CRBO), provides guidance to management and business units by proactively identifying and monitoring risks to protect the interests of the firm, its clients, and associates. To execute this goal, Asset Management Risk is responsible for identifying, analyzing, aggregating, and reporting on significant and emerging risks to assist management in strengthening their controls and processes. The base salary range for this position is $80,000-$153,000 per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position. Risk

The Manager position in Asset Management Risk provides general operational risk oversight for Fidelity Digital Asset Management and related businesses. Responsibilities include gathering important industry, market, and internal data, developing tools to measure risks and trends, and evaluating how these issues may impact Asset Management, our clients, and associates. This role will be accountable for analyzing data and controls to identify emerging and significant risks, perform targeted data-driven risk assessments, and develop risk management reporting using data visualization tools. The ideal candidate will have demonstrated commitment and passion for risk management, asset management, and academic/or work experience in related markets or fields. Candidates with SQL, programming, or data visualizations skills would be a plus. Strong communication, presentation and writing skills are also an important success factor. This role requires someone who is hard-working, eager to learn, and results oriented. * Analyze data and controls as well as identifying latent and emerging risks. The results of this analysis will be compiled into comprehensive management reports, including visual aids, analysis of data analytics and conclusions. * Actively perform proactive and targeted data analysis to identify risks for management. * Perform ad-hoc quality control reviews for presentations and reports built by the team to ensure the integrity of the materials. * Partner with business units to ensure that controls are working as intended and to improve the efficiency and effectiveness of processing. * Bachelor’s degree required * 5+ years of relevant work experience in the financial industry, crypto experience preferred * Experience in Compliance, Risk, or Operations related to crypto/blockchain products, data, services * Demonstrated analytical skills with the ability to work with and summarize data from multiple sources * Experience working with blockchain technology or related enterprises * Executive level presentation skills required * Project management experience * Experience with data analysis techniques and visualization tools (e.g., Tableau), a plus * Experience with common data science tools & languages, a plus * CFA and/or FRM certifications a plus * Foundational understanding of blockchain technology * Ability to engage with multiple teams to establish a collaborative and interdisciplinary approach * Natural intellectual curiosity, initiative, and love for learning new skills and capabilities * Skilled at operating autonomously to achieve results in a dynamic environment * Thrives in a dynamic organization where priorities shift to meet evolving business needs * Superb verbal and written communications skills * Strong data analysis skills (e.g., tools, strategies) * Staying abreast of the latest innovations across industry * Problem solver with a blend of creativity and analytical rigor Asset Management Risk, part of Fidelity’s Risk organization and aligned with Asset Management’s Compliance Risk and Business Operations Group (CRBO), provides guidance to management and business units by proactively identifying and monitoring risks to protect the interests of the firm, its clients, and associates. To execute this goal, Asset Management Risk is responsible for identifying, analyzing, aggregating, and reporting on significant and emerging risks to assist management in strengthening their controls and processes. The base salary range for this position is $80,000-$153,000 per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position. Risk

The Role We are seeking a visionary executive leader to architect, build, and scale the operating platform that will power the future of digital asset investments and on-chain finance — spanning tokenized funds and financial assets, digital asset portfolios, on-chain investments and financial activities, and blockchain-native financial products. This role will lead the design and implementation and ongoing operation of the end-to-end infrastructure for the digital assets fund and portfolio investment services ecosystem, including accounting and valuation, portfolio and fund administration, and transfer agency, integrating blockchain infrastructure with institutional-grade controls, data architecture, and governance across both on-chain and off-chain environments. The successful candidate will combine deep operational expertise in traditional investment accounting and fund and portfolio administration and transfer agency with hands-on experience building blockchain and on-chain financial infrastructure. This candidate will also have a proven ability to lead organizations through complex, multi-stakeholder change. Key Responsibilities Strategic Platform Architecture * Define and execute the multi-year strategic roadmap for the digital asset operating platform — integrating fund administration and transfer agent, and portfolio-accounting functions with blockchain-based systems. * Architect the core infrastructure stack for digital asset investments, tokenized funds and financial assets — including modules for on-chain accounting, valuation, NAV calculation, fund administration, and transfer-agency services. * Design core ledger, data, and oracle frameworks that reconcile off-chain financial records with on-chain smart-contract and blockchain data. * Establish the technical and operational foundations for on-chain accounting, NAV calculation, investor servicing, and settlement. Organizational Design & Leadership * Build and lead multidisciplinary teams across operations, product, technology, accounting, data management, risk, and compliance to deliver the platform vision. * Design and implement organizational and governance structures and operating charters appropriate for digital asset and on-chain financial environments. * Recruit and mentor talent across finance, blockchain, and operations disciplines, fostering a culture of innovation, control, and accountability. * Implement decision-making frameworks and escalation paths that enable agility while maintaining strong institutional governance. Governance and Controls, Technology, Infrastructure & Integration * Lead design and implementation of on-chain fund-accounting and investor-record systems, integrated with enterprise data and record-keeping standards, fund-administration and transfer agent platforms. * Oversee development of accounting and back office administration infrastructure supporting digital asset trading, custody, staking, and yield activities. * Define policies for smart-contract deployment, private-key management, cyber resilience, and operational continuity. * Ensure audit readiness and regulatory compliance aligned with applicable regulatory agencies and authorities, including SEC, CFTC and equivalent global standards. * Establish data-governance, reporting, and control frameworks to ensure transparency, accuracy, and traceability across funds and portfolios. * Champion tokenization frameworks for different asset classes and product structures, including money-market funds, private credit, private equity, ETFs, and structured finance, and interoperability across blockchains. Cross-Functional Leadership & Stakeholder Management * Operate effectively within a large, matrixed organization, aligning functions across technology, operations, investment management, finance, risk, and compliance. * Navigate consensus-oriented cultures, build credibility, and drive alignment among multiple senior stakeholders and governance bodies. * Communicate with clarity across executive committees, board forums, and regulatory stakeholders to secure buy-in for digital-asset platform and product initiatives. * Serve as the internal bridge between traditional and blockchain-native teams, ensuring integrated business design and operational discipline. Industry & Ecosystem Engagement * Represent the firm in industry and regulatory working groups, shaping standards for tokenized fund and digital asset operations. * Establish strategic partnerships with custodians, administrators, oracle providers, and blockchain infrastructure firms. * Provide thought leadership on the future of on-chain fund services, digital-asset governance, and tokenized capital markets. Qualifications Professional Experience * 15+ years of progressive leadership experience in asset management, fund administration, or financial-operations roles, including at least 5 years in digital-asset, cryptocurrency, or blockchain-based finance. * Proven record of designing and implementing large-scale operating platforms supporting both traditional and digital assets. * Direct experience building and scaling teams and organizations, including defining structure, roles, processes, and performance governance. * Demonstrated success working across large, matrixed organizations with multiple senior stakeholders in a consensus-driven culture, achieving alignment and results. * Deep expertise in fund accounting, valuation, investor servicing, and transfer agency for traditional investment products. * Proven track record building infrastructure for cryptocurrency investment operations, including wallet management, custody, settlement, and on-chain reconciliation. Technical & Strategic Competencies * Strong understanding of blockchain architecture, smart-contract design, tokenization standards, and interoperability protocols. * Familiarity with DeFi primitives (staking, liquidity pools, lending protocols) and their integration into institutional frameworks. * Expertise in designing data architecture, reconciliation, and control frameworks. * Proven ability to translate strategic vision into executable programs through structured governance, roadmap execution, and stakeholder management. Leadership Attributes * Visionary yet pragmatic leader who combines strategic insight with operational execution. * Exceptional communicator capable of aligning diverse senior stakeholders around a common mission. * Deep curiosity about how blockchain transforms investment operations and a disciplined approach to risk and compliance. * Strong sense of ownership and commitment to building institutional infrastructure for the next generation of finance. The base salary range for this position is $185,000-$400,000 per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position. Investment Operations

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

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

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

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

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

Senior Lead AI Engineer (GenAI Platform) 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) 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 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience 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 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: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Francisco, CA: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionTech Lead/ Principal ConsultantRemoteDirect PlacementUp to $160k yearlyJob Summary:Integrative Staffing Group is seeking an expert ServiceNow Tech Lead to join a global leader in AI-driven digital transformation. In this high-impact role, you will provide technical leadership, collaborating closely with Enterprise Architecture teams to design and deploy cutting-edge ServiceNow solutions. You will be at the forefront of scaling advanced technology for global enterprises, specifically within the Financial Services and Risk Management domains..Job Responsibilities: • Technical Leadership: Act as the subject matter expert for ServiceNow solution implementation, including configuration, customization, and architecting complex enterprise solutions., • FSO Specialization: Lead the design and implementation of Financial Service Operations (FSO) solutions, utilizing the Financial Service Data Model for Banking and Insurance (Dispute Management, Treasury, Payment/Card Operations, and Loan Processing)., • Development: Utilize ServiceNow scripting (JavaScript, HTML, CSS, XML) and integrations via REST/SOAP Web Services. Manage Business Rules, Script Includes, and UI Actions., • Architecture: Drive the strategy for CSDM, CMDB, and Data Models to ensure a robust enterprise architecture., • Collaboration: Work within an Agile/Sprint framework to gather requirements, lead technical demos, and translate business needs into scalable technical designs. Required Qualifications:, • ServiceNow Expertise: Extensive experience in ServiceNow architecture and implementation, specifically with FSO and CSM., • IRM Domain Mastery: Proven experience in ServiceNow IRM (Integrated Risk Management) design and implementation., • Technical Stack: Strong proficiency in JavaScript, AJAX, JSON, AngularJS, and ServiceNow APIs., • Required Certifications:, • Certified Implementation Specialist – FSO, • Certified Implementation Specialist – IRM, • Certified Implementation Specialist – Risk and Compliance, • Certified Implementation Specialist – Vendor Risk Management, • Industry Knowledge: Deep understanding of ITIL, Service Management frameworks, and regulatory standards (GDPR, ISO, etc.).Preferred Skills:, • Bachelor’s or Master’s degree in Computer Science or a related technical field., • Excellent customer-facing skills with the ability to lead discussions with Enterprise Architects.

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

\n About Us \n\n\n One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. \n In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. \n The Opportunity: \n The One Medical Virtual Medical Team (VMT) is a leading provider of virtual clinical care, providing world-class, convenient, evidence-based virtual medical care to One Medical patients in concert with their primary care providers. Through advanced technology and a team-based approach, we care for patients 24 hours a day, 365 days a year. Our team is united by intellectual curiosity, inclusiveness, and a powerful mission: transforming healthcare and bringing world-class primary care to everyone. \n Employment type: \n\n • Treating patients via tele-health visits, including telephonic triage calls, video visit appointments, and email follow-ups\n, • Continuous learning during weekly Clinical Rounds and through other modalities\n, • Ongoing collaboration with both virtual and in-office teammates via daily huddles\n, • Completed an accredited FNP program with a national certification \n, • In the past 5 years, practiced as an Advanced Practitioner for at least:\n\n, • 2 years in an outpatient primary care setting seeing patients of all ages (0+), OR 2 years in an urgent care or emergency medicine setting seeing patients of all ages (0+) \n\n, • Currently licensed in NY with ability to obtain additional state licenses\n, • Ability to work weekday and weekend shifts (every Saturday or Sunday required)\n, • Current shifts range from (6am-5pm EST, 7am-6pm EST, 8am-7pm EST, 11am-10pm EST, 1pm-12am EST)\n, • A passion for human-centered primary care \n, • The ability to successfully communicate with and provide care to individuals of all backgrounds \n, • The ability to effectively use technology to deliver high quality care\n, • Clinical proficiency in evidence-based primary care\n, • The desire to be an integral part of a team dedicated to changing healthcare delivery\n, • An openness to feedback and reflection to gain productive insight into strengths and weaknesses\n, • The ability to confidently navigate uncertain situations with both patients and colleagues\n \n One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: \n Taking care of you today \n\n • Paid sabbatical for every five years of service\n, • Free One Medical memberships for yourself, your friends and family\n, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues\n, • Competitive Medical, Dental and Vision plans\n, • Pre-Tax commuter benefits\n, • 401K match\n, • Credit towards emergency childcare\n, • Company paid maternity and paternity leave\n, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance\n, • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%.\n, • UpToDate Subscription - An evidence-based clinical research tool\n, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education\n, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience\n One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster and Right to Work Poster for additional information. \n

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

Senior Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

OVERVIEW: Experience a place of energy, passion, and excitement. A place where the joy of discovery and uncommon artistry blend to create exhilarating buying experiences—for true beauty enthusiasts. At Ulta Beauty, we’re transforming the world one shade, one lash, one cut at a time. Because beauty is powerful. If you seek greater purpose—a place of vision, mission, and lived values—where voices are heard, contributions valued and recognized and growth opportunities abound, consider Ulta Beauty. Nowhere else are the possibilities quite this beautiful. : GENERAL SUMMARY & SCOPE The General Manager (GM) is responsible for leading through Ulta Beauty’s mission, vision, and values in order to develop a high-performing team that consistently delivers top-line sales growth for the store. The GM leads a team of managers and is accountable for all aspects of managing a single retail store, inclusive of the salon. This leader drives the store’s business through a focus on performance (sales, service, and expense control), people (talent acquisition, training, and development), and process (standard operating procedures and compliance standards). This position requires a passion for process excellence, a drive for results, and the ability to lead, influence and develop their team. PRINCIPAL DUTIES & RESPONSIBILITIES (*Essential Job Functions) The GM is a champion of Ulta Beauty’s mission, vision, and values, and should demonstrate them skillfully and consistently by performing the following duties and responsibilities of the position (as well as all other projects/duties as assigned): Performance • Promote a culture of accountability to meet or exceed Ulta Beauty’s goals related to retail and service sales, guest loyalty (including credit), payroll, omni-channel, and retail shrink as set by Ulta Beauty for the GM’s store., • Drive company profitability through operational excellence, top-line sales growth, and expense control., • Leverage store forecast and payroll budgets to support with store scheduling needs to maximize productivity, achieve sales and payroll goals, and complete workload on time, and within the payroll budget., • Address any issues identified by Ulta Beauty’s financial and operational reporting, as well as by store visits and audit results to achieve Ulta Beauty’s goals set for their store and drive company profitability., • Perform makeup applications, skincare analysis, and product demonstrations with guests to drive sales and guest service experience., • Take the initiative to stay informed regarding new and existing industry trends, products, and services during work time and be knowledgeable about the ingredients and benefits of these trends, products, and services to better serve guests., • Maintain prompt, regular attendance as the GM and hold all store associates accountable to the Ulta Beauty attendance policy. People • Attract, hire, and retain a diverse team of top talent, and efficiently address any staffing needs and open positions for the store., • In partnership with the DM and People Success, address policy violations with appropriate corrective action up to and including separation of employment fairly and in accordance with Ulta Beauty’s policies and procedures., • Build a highly engaged team at the store that embodies the Ulta Beauty brand through effective collaboration, open and honest communication, and prioritization of work., • Create an inclusive environment that inspires and encourages the growth and engagement of associates., • Lead all aspects of manager and associate development including training, providing individualized competency-based feedback and coaching, performance reviews, succession planning, and individual development plans to enable continuous development and drive sales performance., • Regularly participate in ongoing training, including brand and category education, to enable continuous professional development and drive sales performance., • Ensure direct reports regularly participate in ongoing training, including brand and category education, to enable continuous professional development and drive sales performance., • Model a culture of open communication by sharing enterprise strategy with direct reports and creating goals in alignment with Ulta Beauty’s goals for their store., • Promote a culture of teamwork by working alongside the management team, establishing priorities, and providing clear direction., • Execute the Guest Engagement Leader program flawlessly through business ownership, associate coaching, and leading a helpful and friendly guest experience to drive business results across all Annual Performance Goal (APG) metrics for the store. Process • Be knowledgeable of and ensure compliance with Ulta Beauty’s policies, procedures, and standards., • Adhere to and enforce Ulta Beauty’s dress code., • Use the company’s scheduling tool as directed to schedule the right associates, in the right places, at the right times in order to provide an exceptional guest experience, reduce loss, and execute company directives., • Use the company’s task management tool as directed to prioritize the execution of all store workload, and ensure full leadership adoption and compliance with company policy., • Protect company assets and minimize loss by ensuring all store standards and operating procedures are met, including workplace safety, inventory control, cash management, and loss prevention., • Execute day-to-day inventory control processes (e.g., known theft, damages, hazardous waste, inventory adjustments, product returns) and complete theft reporting as necessary., • Support continuous improvement by influencing the adoption of company initiatives and technology, communicating expectations, and ensuring the execution of all store tasks., • Utilize company programs, tools, and resources to drive store improvements. Education • Bachelor’s degree is preferred Experience • 3-5+ years of fast-paced, retail management or other relevant work experience, • Financial management: success with driving top-line sales, interpreting reporting data, managing payroll budgets, and controlling expense, • Retail management: proven ability with monitoring inventory levels, achieving operational excellence, driving a service culture, and executing merchandising directives, • Proficient with basic technology (e.g., Point of Sale system, Microsoft Office programs, and Apple devices), • Excellent written and verbal communication, • Strong collaboration and interpersonal skills, • Strong organizational skills to manage multiple tasks, • Ability to react under pressure, use good judgment in ambiguous situations, and be flexible/adaptable SPECIAL POSITION REQUIREMENTS • Work a flexible, full-time schedule to include days, evenings, weekends, and holidays, • Must be available to close the store at least once per week, • Attend corporate business meetings and conferences, including overnight stays, and interstate travel, • Maintain valid identification for airline travel WORKING CONDITIONS • Frequent use of a computer, telephonic devices, and related office supplies, • Continuous mobility throughout the store during shift, • Frequent bending, pushing, reaching, and twisting during shift, • Frequent lifting, carrying and/or moving up to 25 lbs. during shift, • Continuous walking, coordination and manipulation of objects during shift If an associate has a disability that prevents them from performing an essential function of the job, the Company will engage in the interactive process with the associate to determine whether there is a reasonable accommodation that will enable the associate to perform the essential functions of the job. : The pay range for this position is $87,360.00 - $120,640.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company’s bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part-time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: About: At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful. Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty’s own private label. Ulta Beauty also offers a full-service salon in every store featuring—hair, skin, brow, and make-up services. We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

Job Description Company: Strategic Content Imaging Corp Title: Production Coordinator Job Category: Administration Requisition Number: PRODU001024 Job Type: Full-Time Secaucus, NJ, 07094, USA Brief: Command Digital is seeking a detail-oriented Production Coordinator – Healthcare/Direct Mail to manage print and mail projects from order entry through delivery in a fast-paced, regulated environment. This role serves as a liaison between clients, sales, and production, ensuring jobs are accurate, on schedule, and compliant with healthcare requirements. Ideal candidates have print or direct mail experience, strong organizational skills, and the ability to manage multiple projects while meeting tight deadlines. Detailed: Position SummaryCommand Digital is seeking a detail-oriented Production Coordinator to serve as a key liaison between clients, sales, and production teams in a fast-paced, healthcare-regulated environment. This role is responsible for managing projects from order intake through delivery, ensuring accuracy, efficiency, compliance, and high-quality output while meeting client expectations and strict service level agreements.Key Responsibilities • Partner with Account Executives, clients, and production teams to define project scope, production methods, and timelines, • Coordinate production schedules with internal departments and external vendors to maximize efficiency and meet deadlines, • Monitor job progress, track orders, and proactively communicate status updates, including any delays, to clients and internal stakeholders, • Review projects from conception through delivery to ensure they remain on schedule, within budget, and aligned with all specifications, • Ensure all job requirements are complete and accurate prior to production; clarify missing or unclear information, • Enter and manage job orders in Avanti, maintaining accurate and up-to-date records, • Create and manage purchase orders for outsourced services, including offset printing and binding, • Troubleshoot and resolve client, administrative, and production-related issues in a timely and professional manner, • Provide clients with knowledgeable guidance on Command Digital’s products and services, • Maintain consistent communication with Account Executives regarding project status and client interactions, • Collaborate with Production and Department Managers to proactively plan and execute projects, • Process billing within five (5) days of shipment, ensuring accuracy of quantities, shipping details, and documentation (BOL, charges, etc.), • Ensure strict adherence to healthcare regulations, including SLA requirements, data security, and compliance standardsQualifications, • Experience in print production, direct mail, or manufacturing coordination (healthcare experience preferred), • Strong project management and organizational skills in a high-volume environment, • Experience with Avanti or similar MIS systems preferred, • Excellent communication and client service skills, • Strong attention to detail with the ability to manage multiple projects simultaneously, • Problem-solving mindset with the ability to troubleshoot and resolve issues independently, • Working knowledge of production workflows, scheduling, and vendor coordinationPreferred Attributes, • Experience working in a regulated healthcare or data-sensitive environment, • Ability to prioritize effectively and meet tight deadlines, • Strong collaboration skills across cross-functional teamsBenefitsCommand Digital is proud to offer competitive pay and a comprehensive benefits package, including:, • Medical, dental, and vision coverage, • Company-paid life insurance, • Voluntary long-term disability coverage, • Paid time off, • Company-paid holidays, • 401(k) with company match, • Employee Assistance Program, • Employee recognition programs PM21 #PM21 PI8b7ddcb58b4b-25405-40021651

Applied Researcher I 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 high quality 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, a 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 or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications [choose correct set based on focus of role]: * 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: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations, LLM Core and Agentic AI) 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 high quality 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, a 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 or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 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: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished Applied Researcher 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. 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. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * 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. * 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. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 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 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Loan Collections Representative (Remote) Industry: Finance / Banking Employment Type: Full-Time, Part-Time, or Per Diem Location: Remote (United States) Salary: $38.00 – $42.00 per hour + 1.5% Commission Job Summary Join a fast-growing real estate investment firm as a Loan Collections Representative. This 100% remote position offers a highly competitive base salary plus a 1.5% commission per loan. We provide a flexible schedule where you can choose between full-time, part-time, or per diem hours. If you have experience in debt recovery, banking, or financial services, we want to hear from you. Responsibilities Manage Debt Recovery: Conduct loan collections remotely while maintaining professional standards. Negotiation: Contact clients to negotiate repayment plans and resolve outstanding balances. Documentation: Maintain accurate, up-to-date records in company financial systems. Compliance: Ensure all collection activities follow industry regulations and internal policies. Banking Relations: Occasionally visit local banks and financial institutions as needed (localized based on your region). Collaboration: Work with the finance team to meet monthly and quarterly collection goals. Qualifications & Skills Experience: Previous experience in loan collections, accounts receivable, or banking is highly preferred. Communication: Exceptional negotiation and verbal communication skills. Remote Proficiency: Proven ability to work independently in a remote environment. Organization: Highly detail-oriented with strong organizational skills for managing multiple client files. Availability: Must have a flexible schedule to meet business needs. Benefits & Compensation High Earning Potential: Base pay of $38–$42/hr plus performance-based commissions. Health & Wellness: Comprehensive medical, dental, and vision insurance; mental health counseling; and HSA/FSA options. Financial Security: 401(k) with employer match and profit-sharing opportunities. Work-Life Balance: Paid vacation, sick leave, holidays, and personal days. Family Support: Paid parental leave (maternity/paternity/adoption). How to Apply To apply for the Loan Collections Representative position, please submit your resume to our recruitment team: Contact: Ron Distransky, President / Executive Recruiter Email: Phone: 402-609-9221

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a motorized role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Motorized) specializes as a vehicle/heavy equipment mechanic, repairing vehicles and a variety of airport systems and equipment. This opportunity requires the completion of a two-year degree at a post-secondary technical school or a minimum of three years of demonstrated ability. Summary of responsibilities: Inspects, services, troubleshoots, repairs, replaces, and overhauls all components like truck chassis, body, and drive-train components on a diverse body of equipment. Electrical and hydraulic troubleshooting and repair, painting, bodywork, and technical work. Completing data entry to record work assignments and connecting with other company personnel as needed. Repair and perform maintenance on mix of motorized equipment as well as bodywork and other technical work. External Applicants Only – Ground Maintenance Technician (Motorized) hired to work at the [Airport Name] airport receive a $5,000 sign-on bonus. You will receive $2,500 after 90 days of employment and the remaining $2,500 after 180 days of employment. The starting rate for this position can increase within 6 months of your start date, based on premiums offered. Examples include, but are not limited to, ASE Certification, CIMM Certification, shift differential, and skill differential Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a motorized role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Motorized) specializes as a vehicle/heavy equipment mechanic, repairing vehicles and a variety of airport systems and equipment. This opportunity requires the completion of a two-year degree at a post-secondary technical school or a minimum of three years of demonstrated ability. Summary of responsibilities: Inspects, services, troubleshoots, repairs, replaces, and overhauls all components like truck chassis, body, and drive-train components on a diverse body of equipment. Electrical and hydraulic troubleshooting and repair, painting, bodywork, and technical work. Completing data entry to record work assignments and connecting with other company personnel as needed. Repair and perform maintenance on mix of motorized equipment as well as bodywork and other technical work. External Applicants Only – Ground Maintenance Technician (Motorized) hired to work at the LGA airport receive a $5,000 sign-on bonus. You will receive $2,500 after 90 days of employment and the remaining $2,500 after 180 days of employment. The starting rate for this position can increase within 6 months of your start date, based on premiums offered. Examples include, but are not limited to, ASE Certification, CIMM Certification, shift differential, and skill differential Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a motorized role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Motorized) specializes as a vehicle/heavy equipment mechanic, repairing vehicles and a variety of airport systems and equipment. This opportunity requires the completion of a two-year degree at a post-secondary technical school or a minimum of three years of demonstrated ability. Summary of responsibilities: Inspects, services, troubleshoots, repairs, replaces, and overhauls all components like truck chassis, body, and drive-train components on a diverse body of equipment. Electrical and hydraulic troubleshooting and repair, painting, bodywork, and technical work. Completing data entry to record work assignments and connecting with other company personnel as needed. Repair and perform maintenance on mix of motorized equipment as well as bodywork and other technical work. External Applicants Only – Ground Maintenance Technician (Motorized) hired to work at the LGA airport receive a $5,000 sign-on bonus. You will receive $2,500 after 90 days of employment and the remaining $2,500 after 180 days of employment. The starting rate for this position can increase within 6 months of your start date, based on premiums offered. Examples include, but are not limited to, ASE Certification, CIMM Certification, shift differential, and skill differential Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Stationary) specializes in completing repairs and utilizes preventive maintenance on motors and controls, Programmable Logic Controllers (PLC), pneumatic systems, conveyor systems, and machine shop equipment. The ideal candidate is proficient in the use of diagrams, sketches, operations manuals, manufacturer's instructions, and engineering specifications to resolve malfunctions and maintain equipment. Summary of responsibilities: Locates sources of problems by observing mechanical devices in operation and repair with precision measuring and testing instruments. Determines changes in dimensional requirements of parts by inspecting used parts and using rulers, calipers, micrometers, and other measuring instruments. Ensures the proper functioning of mechanical, electro-mechanical, and electronic equipment by troubleshooting, repairing, maintaining, and calibrating industrial equipment and test equipment throughout Stationary GSE in accordance with approved manuals and procedures. Maintains equipment, parts, and supplies inventories by checking stock to log inventory levels; anticipating need; placing and expediting orders; and verifying receipt. Prepares maintenance reports by collecting, analyzing, and summarizing information and trends. External Applicants Only – Ground Maintenance Technician (Stationary) hired to work at the JFK airport receive a $5,000 sign-on bonus. You will receive $2,500 after 90 days of employment and the remaining $2,500 after 180 days of employment. The minimum starting hourly rate for this position is $36.22 with the ability to increase your hourly rate within 6 months of your start date, based upon premiums offered. Examples include but are not limited to CIMM Certification, Shift differential, and Skill differential. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Qualified candidates must also possess at least one of the following: Electrical/Relay knowledge: Understanding and proficiency in repairing 12 to 50 VAC/DC control circuits, 120 VAC single-phase electrical circuits and control circuits, 480 VAC 3-phase electrical systems. PLC Controls/Network: Proficiency and knowledge of repairing PLC and the associated computer network systems. Allen Bradly PLCS, SLC 500, SLC 5000 and Micro Logix systems. Industrial Maintenance/Conveyor Systems/Passenger Loading Bridges (PLB): Knowledge of system operations for PLB, system operation for conveyor systems and heavy equipment maintenance on hydraulics/electrical/mechanical on large industrial machinery. Industrial A/C refrigeration: Knowledge of high-pressure point-of-use pre-condition air systems, low-pressure glycol chiller systems, and repair and isolate system failures, as well as the related software for both high- and low-pressure control circuits systems. 400 Hz Generator/Inverter Ground Power: Strong understanding of electronic and electrical components and proficiency at identifying problems and repairing and rebuilding them. A background in 400 Hz, testing equipment as needed to perform repair/overhaul, and the ability to read electrical schematics and drawings are required. Familiarity with Jetpower II, Jetpower Plus, and CSI units. Experience operating passive and resistive load banks and working in an electronics environment. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Completion of a two-year degree at a post-secondary technical school or have a minimum of three years of demonstrated ability. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. What will give you a competitive edge (preferred qualifications) Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Mechanic (GMM) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. The GMM (Stationary) is responsible for the maintenance of stabilized stationary machinery and equipment. Your key maintenance functions include inspections, minor troubleshooting, repairing, removing, and replacing components, cleaning, and assembly. This opportunity requires a minimum of 6 months of experience in an industrial powered mechanical environment and an understanding of mechanical, electrical, hydraulic, and pneumatic disciplines as they apply to industrial powered systems. If you have experience as a semi-skilled industrial maintenance mechanic, then this role is right for you. You will perform all routine and non-routine maintenance on the following while reporting any issues to GSE Supervision: Passenger loading bridges (interior, exterior, console, and dock lights) and interior and exterior painting (including bulb and lens replacement). Air handler hoses, adapters, air filters, condensate pans, and indicator bulbs and lenses. Gear boxes, bearings and shafts, roller replacements, belt re-lacing, and belts replacements. Staff’s baggage handling system (BHS) control rooms as well as reconciling bag jams to keep BHS flowing. Ground power cables and associated clamping/saddles. Stationary equipment like water cabinets, loading bridges, air handling systems, baggage conveyor systems, and 400 Hz gate power. Small component repair and build-up of non-specialized components on specialized equipment like air conditioning adapters, water cabinet adapters, baggage carrousel bumpers, and dock light controllers. External Applicants Only – Ground Maintenance Mechanic (Stationary) hired to work at the LGA airport receive a $2,500 sign-on bonus. You will receive $1,250 after 90 days of employment and the remaining $1,250 after 180 days of employment. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other Delta personnel and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Completion of a two-year degree at a post-secondary technical school and/or related Military experience. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Mechanic (GMM) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. The GMM (Stationary) is responsible for the maintenance of stabilized stationary machinery and equipment. Your key maintenance functions include inspections, minor troubleshooting, repairing, removing, and replacing components, cleaning, and assembly. This opportunity requires a minimum of 6 months of experience in an industrial powered mechanical environment and an understanding of mechanical, electrical, hydraulic, and pneumatic disciplines as they apply to industrial powered systems. If you have experience as a semi-skilled industrial maintenance mechanic, then this role is right for you. You will perform all routine and non-routine maintenance on the following while reporting any issues to GSE Supervision: Passenger loading bridges (interior, exterior, console, and dock lights) and interior and exterior painting (including bulb and lens replacement). Air handler hoses, adapters, air filters, condensate pans, and indicator bulbs and lenses. Gear boxes, bearings and shafts, roller replacements, belt re-lacing, and belts replacements. Staff’s baggage handling system (BHS) control rooms as well as reconciling bag jams to keep BHS flowing. Ground power cables and associated clamping/saddles. Stationary equipment like water cabinets, loading bridges, air handling systems, baggage conveyor systems, and 400 Hz gate power. Small component repair and build-up of non-specialized components on specialized equipment like air conditioning adapters, water cabinet adapters, baggage carrousel bumpers, and dock light controllers. External Applicants Only – Ground Maintenance Mechanic (Stationary) hired to work at the JFK airport receive a $ 2 , 5 00 sign-on bonus . You will receive $1, 250 after 90 days of employment and the remaining $1, 250 after 180 days of employment . Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other Delta personnel and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Completion of a two-year degree at a post-secondary technical school and/or related Military experience. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a motorized role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Motorized) specializes as a vehicle/heavy equipment mechanic, repairing vehicles and a variety of airport systems and equipment. This opportunity requires the completion of a two-year degree at a post-secondary technical school or a minimum of three years of demonstrated ability. Summary of responsibilities: Inspects, services, troubleshoots, repairs, replaces, and overhauls all components like truck chassis, body, and drive-train components on a diverse body of equipment. Electrical and hydraulic troubleshooting and repair, painting, bodywork, and technical work. Completing data entry to record work assignments and connecting with other company personnel as needed. Repair and perform maintenance on mix of motorized equipment as well as bodywork and other technical work. External Applicants Only – Ground Maintenance Technician (Motorized) hired to work at the [Airport Name] airport receive a $5,000 sign-on bonus. You will receive $2,500 after 90 days of employment and the remaining $2,500 after 180 days of employment. The starting rate for this position can increase within 6 months of your start date, based on premiums offered. Examples include, but are not limited to, ASE Certification, CIMM Certification, shift differential, and skill differential Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Stationary) specializes in completing repairs and utilizes preventive maintenance on motors and controls, Programmable Logic Controllers (PLC), pneumatic systems, conveyor systems, and machine shop equipment. The ideal candidate is proficient in the use of diagrams, sketches, operations manuals, manufacturer's instructions, and engineering specifications to resolve malfunctions and maintain equipment. Summary of responsibilities: Locates sources of problems by observing mechanical devices in operation and repair with precision measuring and testing instruments. Determines changes in dimensional requirements of parts by inspecting used parts and using rulers, calipers, micrometers, and other measuring instruments. Ensures the proper functioning of mechanical, electro-mechanical, and electronic equipment by troubleshooting, repairing, maintaining, and calibrating industrial equipment and test equipment throughout Stationary GSE in accordance with approved manuals and procedures. Maintains equipment, parts, and supplies inventories by checking stock to log inventory levels; anticipating need; placing and expediting orders; and verifying receipt. Prepares maintenance reports by collecting, analyzing, and summarizing information and trends. External Applicants Only – Ground Maintenance Technician (Stationary) hired to work at the LGA airport receive a $5,000 sign-on bonus. You will receive $2,500 after 90 days of employment and the remaining $2,500 after 180 days of employment. The minimum starting hourly rate for this position is $36.22 with the ability to increase your hourly rate within 6 months of your start date, based upon premiums offered. Examples include but are not limited to CIMM Certification, Shift differential, and Skill differential. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Qualified candidates must also possess at least one of the following: Electrical/Relay knowledge: Understanding and proficiency in repairing 12 to 50 VAC/DC control circuits, 120 VAC single-phase electrical circuits and control circuits, 480 VAC 3-phase electrical systems. PLC Controls/Network: Proficiency and knowledge of repairing PLC and the associated computer network systems. Allen Bradly PLCS, SLC 500, SLC 5000 and Micro Logix systems. Industrial Maintenance/Conveyor Systems/Passenger Loading Bridges (PLB): Knowledge of system operations for PLB, system operation for conveyor systems and heavy equipment maintenance on hydraulics/electrical/mechanical on large industrial machinery. Industrial A/C refrigeration: Knowledge of high-pressure point-of-use pre-condition air systems, low-pressure glycol chiller systems, and repair and isolate system failures, as well as the related software for both high- and low-pressure control circuits systems. 400 Hz Generator/Inverter Ground Power: Strong understanding of electronic and electrical components and proficiency at identifying problems and repairing and rebuilding them. A background in 400 Hz, testing equipment as needed to perform repair/overhaul, and the ability to read electrical schematics and drawings are required. Familiarity with Jetpower II, Jetpower Plus, and CSI units. Experience operating passive and resistive load banks and working in an electronics environment. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Completion of a two-year degree at a post-secondary technical school or have a minimum of three years of demonstrated ability. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Mechanic (GMM) in a motorized role, you will be a part of Delta’s Ground Support Equipment team. This opportunity requires 6 months of experience in a vehicle/heavy equipment maintenance environment and an understanding of mechanical, electrical, hydraulic, and pneumatic fields as they apply to industrial powered systems. A GMM (Motorized) performs similar tasks of a semi-skilled vehicle/heavy equipment maintenance mechanic. Summary of responsibilities: Applies appropriate tooling, equipment, and material to accomplish minor maintenance functions including inspections, minor troubleshooting, repairing, removing, and replacing components on select Ground Support Equipment. Assists a Lead Ground Maintenance Technician or a Ground Maintenance Technician on motorized equipment as needed. Completes data entry to record work assignments and will connect with other Company personnel as needed. External Applicants Only – Ground Maintenance Mechanic (Motorized) hired to work at the LGA airport receive a $2,500 sign-on bonus. You will receive $1,250 after 90 days of employment and the remaining $1,250 after 180 days of employment. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other Delta personnel and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Completion of a two-year degree at a post-secondary technical school and/or related Military experience. Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

STORE DIRECTOR, LUXURY HOME RETAIL STORE LOCATION: NEW YORK, MIDTOWN EAST POSITION SUMMARY The Store Director is the key leader responsible for overseeing daily operations, driving revenue growth, and fostering a culture of teamwork and excellence in a dynamic multi-story retail & showroom experience. This role involves strategic planning, team leadership, client relationship management, and ensuring the store aligns with brand standards to achieve sales targets and profitability. KEY RESPONSIBILITIES • Develop and implement new and diverse sales strategies to drive revenue and nurture, • profitable relationships with clients, • Lead and inspire a team of sales associates and support staff through training, performance evaluations and professional development, • Oversee store operations, including inventory management, visual merchandising, floor layouts, and compliance with health, safety, and operational standards, • Cultivate exceptional client experiences by building long-term relationships, personalizing services, and implementing new loyalty programs to enhance repeat engagement, • Monitor KPIs such as sales metrics, customer feedback,operational efficiency; prepare reports and recommend improvements, • Oversee and support an Events & Experience specialist to manage ongoing events and space rentals at the store; an Arts specialist with good network of potential customers for our art pieces; and a CRM specialist for client acquisition and retention improvements, • Collaborate with corporate team on marketing initiatives, product assortments, and store events and space rentals for external corporate or private events, • Manage budgets and resource allocation to ensure financial health while supporting growth opportunities like popups or events, • Stay informed on industry trends in luxury home retail, including digital integration, to innovate and grow QUALIFICATIONS • 5-10+ years of progressive experience in luxury retail, with at least 3-5 years in a leadership role such as Store Manager or Director, ideally in home goods, furniture, or lifestyle brands, • Proven track record of driving sales growth and achieving KPIs in a competitive city, • Strong interpersonal and communication skills, with the ability to build relationships at all levels, including high-net-worth clients, • Knowledge of luxury home retail trends, visual merchandising, and operational retail systems, • Ability to manage and grow business areas such as interiors, art and hospitality; and, • oversee a strong events business, • Entrepreneurial mindset with excellent problem-solving, analytical, and decision-making abilities, • Availability for flexible hours, including weekends and evenings, as required in retail