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Job Overview: District Sales Supervisor for Maspeth, Queens and Brooklyn, NY and greater surrounding areas The District Sales Supervisor is responsible for building brand loyalty and brand value while achieving sales objectives for a district within an established expense budget. Will represent the company to distributor partners in all sales-oriented activities. Identifies and evaluates new or emerging trends in competitive activity. • This position is located in Maspeth and supports customer stores between Maspeth, Brooklyn and Queens and surrounding areas., • Will directly manage a team of 4-5 Independent Operators, • Develop and maintain customer account contacts to increase product availability within assigned market., • Monitor business activities to ensure compliance with contractual agreements., • Develop action plans to ensure achievement of annual objectives., • Develop customer programs designed to improve consumer’s visibility of branded products., • Identify key decision makers for account management and contacts to coordinate the use of marketing programs, point of sale materials and sales promotion programs., • Audit account sales records to verify coverage information is accurate and that key contacts are listed., • Adjust coverage responsibilities to ensure successful achievements of goals and objectives for targeted program initiatives., • Train, manage and motivate Sales and Merchandising team, • $62,500-$82,000 / year, • Actual placement within the compensation range may vary depending on experience, skills, and other factors, • Benefits, subject to eligibility, and collective bargaining agreements (where applicable): Medical, Dental and Vision, Paid Time Off, 401(k) program with employer match, Child & Elder Care, Adoption Benefits, Paid Parental Leave, Fertility Benefits, Employee Resource Groups, Breastmilk Shipping Services, Dependent Scholarship Program, Tuition Reimbursement, Education Assistance, Employee Assistance Program, Personalized Wellness Platform, Mileage Reimbursement and more!, • Minimum 1 year of supervisory experience in managing teams., • 3 years of sales-related experience in territory management., • 3 years of proficiency in Microsoft Office., • Possession of a valid driver's license. Keurig Dr Pepper (Nasdaq: KDP) is a leading beverage company with more than 150 owned, licensed and partner brands that meet a wide range of needs and occasions. Our North American refreshment beverage business holds leadership positions across carbonated soft drinks, water, juice and mixers with a portfolio of iconic brands such as Dr Pepper®, Canada Dry®, Mott’s®, A&W®, Peñafiel®, GHOST®, 7UP®, Snapple®, Clamato® and Core Hydration®. Our global coffee business spans more than 100 markets and includes the leading Keurig® single‑serve brewing system in the U.S. and Canada, along with powerhouse brands such as Peet’s, L’OR and Jacobs, and other regional coffee leaders. Our more than 50,000 employees aim to enhance the experience of every beverage and coffee occasion while making a positive impact for people, communities and the planet. We strive to be an employer of choice, providing a culture and opportunities that empower our team to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Whatever your area of expertise, at KDP you can be a part of a team that’s proud of its brands, partnerships, innovation and growth. Will you join us? Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. AI does not make hiring decisions; all decisions throughout the hiring process are made by talent acquisition team members. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. Please include the job title and location or Job ID # in the email subject line in order for your email application to be considered.

Hunts within defined territory to prospect and win net new small to medium business customers. B2Bs are also responsible to ramp and onboard net new won accounts to further expanding our customer base. It is a high velocity sales position that leverages a prioritized call list to drive prospect engagement remotely by phone, video, face to face, and utilizing digital tools. What you’ll be doing: • Exhibit effective appointment setting skills and set the required number of appointments each week with the correct decision makers., • Effective Selling Skills, • Utilizing professional selling skills, • Discover prospects incremental and programmatic needs, • Effectively communicates Staples value propositions, capabilities, products and assortments including all categories, • Capable of overcoming objections and closing the sale., • Utilize prescribed selling tools to prioritize activities and drive efficiency, as well as to document customer engagement and information (ex: Priority List, Tenfold, SFDC)., • Internal Partnerships: Effectively work with customer support/set up teams and category specialists to progress deals forward to closed won, • Implements and ramps wins driving compliance to new account/program, • Expertise of prospect industry buying process’ and ability to support product selection and standardization, • Create sticky accounts which will continue to purchase from Staples, • Integrates feedback from prospects into their sales approach, • New customer assortment and pricing, • Internal Teaming: Individual will need to communicate and work closely with Category Specialists, and Support teams, • Strong drive and a desire to win, • Strong aversion to complacency, • Proven ability to view rejection as a learning opportunity and double down on next best actions, • Experience and proven track record of business development, • Strong ability to develop and deliver presentations virtually and in person, • Consultative selling, solutions selling, insight selling, negotiation and advanced client management skills, • Ability to work with product category sales team members, • Strong business, financial, operations and technology acumen, • Ability to analyze business and industry trends to create tailored solutions for prospects based upon Staples value proposition, • Ability to function independently with minimal daily supervision, • Ability and motivation to find, develop, and close sales, • Demonstrated work ethic, self-disciplined, • Ability to succeed in a competitive selling or goal-oriented environment, • Ability to be coached and to incorporate feedback, • Professional appearance and demeanor, • 1-3 years of successful sales experience or success as a Staples B2B Sales Associate, • Bachelor’s Degree, • Knowledge of Customer Relationship Management tool (CRM), • Inclusive culture with associate-led Business Resource Groups, • Flexible PTO (22 days) and Holiday Schedule, • Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more! Work Location: This is a remote position with a regional focus. This position supports customers in Stanton Island, NY. While the role primarily supports working from home, the individual performing this role would live within or adjacent to this region. The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation. At Staples, “inclusion” is an action word. It represents what we do to ensure that all employees feel valued and supported to contribute to their fullest potential. When we operate inclusively, diversity naturally follows. This is why we work hard to foster an inclusive culture, as we seek employees with unique and varied perspectives and areas of expertise. The result is a better workplace and innovative thinking that helps us exceed our customers’ expectations – through the power of the people behind our iconic brand. Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

Overview: The Quality Inspector will report directly to the site Quality Manager or Quality Field Operations Manager, with indirect oversight from the Sr. Manager of Quality Control, and will be charged with the vital task of conducting and documenting inspections that adhere to the approved Inspection and Test Plans (ITPs). Quality Inspectors play a crucial role in guaranteeing that all reports are meticulously documented, with accuracy and legibility that ensure traceability to their field locations, thus minimizing reporting errors. Quality Inspectors are expected to excel in communication and foster positive relationships with the owner, owner’s representative, and the Company’s site supervision, all to seamlessly advance our quality objectives. TRAVEL: Travel required up to 100%. Position requires presence directly on the Project Site location COMPANY OVERVIEW: MasTec Industrial, alongside its sister companies Casey Industrial and Phoenix Industrial, has been in operation since 1947. We serve a diverse clientele, including utilities, independent power producers, developers, and municipal utilities. Specializing in projects using natural gas, oil, biomass, and other combustible fuels, our team boasts over 30 years of expertise in the power industry. We provide EPC (Engineering, Procurement, and Construction) services and assist in project development. Our experience spans various systems for utility and industrial facilities, including simple and combined cycle plants, reciprocating engines, and waste-to-energy projects. MasTec Industrial delivers value throughout all project phases, from conceptual design to operations and maintenance. At MasTec Industrial, we are dedicated to delivering the highest quality, safety, and value in every project. We focus on attracting, developing, and retaining top talent within our organization. Our goal is to foster a respectful work environment where all employees feel valued, included, and empowered to become innovative leaders in the industry. The MasTec Industrial market sector is part of the MasTec Clean Energy & Infrastructure business segment. MasTec’s Clean Energy & Infrastructure (CE&I) segment generates over $4 billion in annual revenue, providing construction services across industrial, renewables and infrastructure sectors. In addition to our industrial market sector; In infrastructure, we specialize in general heavy civil construction, underground utilities, structures, electrical work, material production, roadways, bridges, specialty pavement overlays, environmental projects and commercial buildings. Our renewables sector focuses on solar, wind and battery storage. Sustainability and safety are foundational to our culture and influence everything we do. MasTec, a minority-owned Fortune 500 company, has shaped the construction industry for more than 90 years. With over 35,000 employees and 400 offices nationwide, we provide flexibility and career growth in dynamic work environments. Responsibilities: ESSENTIAL JOB FUNCTIONS: • Familiarity with a broad range of general construction processes and nomenclature including testing laboratory protocols and procedures, soils and concrete testing, asphalt paving, structural steel, mechanical, welding and general construction observations., • Methodical and detail-oriented to assist the project team in assuring that Project QC documentation is complete and procedures are followed to ensure issues are closed and project risk is mitigated., • Ability to read and understand construction plans and specifications including identification of errors, contradictions or redundancies for resolution by others., • Conduct regularly scheduled QA/QC meetings, review logs of Deficiencies, Punch List, and other items required and maintain documentation and meeting minutes within job folder, • Prepare reports on inspection activities, • Scheduling of inspection activities in conjunction with various local, state, governmental agencies and 3rd party testing., • Understand and be able to identify difference between Project Specifications and Standard Codes and when project specific requirements do not meet minimum codes, administer appropriate expectations of codes as necessary to protect MasTec Industrial interests., • Consult with Director of Quality when encounter issues or concerns beyond level of expertise., • Knowledge of applicable codes and standards, • Maintain a professional attitude and appearance, • Other duties as assigned, • Minimum of 1 year of experience in a QA/QC role. Education towards an engineering or technical degree may be substituted in lieu of required work experience., • Minimum of 5 years required in a construction environment., • Experience with B31.3, clean room procedures, and oxygen cleaning preferred., • Training and practical knowledge of construction trades, • Extreme proficiency in Microsoft Office applications, including Outlook, Excel, Word, SharePoint, Teams, and Power Point, • Demonstrated experience with construction management software platforms, • Proven capabilities with Bluebeam Revu, • Preferred experience with Smartsheet and InEight software KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: • Be knowledgeable of MIC Health and Safety programs and project specific regulations., • Write reports, business correspondence and document quality related issues and activities, • Effectively present information and respond to questions from project managers, superintendents, clients, customers and the general public, • Effectively communicate and develop positive working relationships with the owner, owner’s representative, and the Company’s site supervision, in order to facilitate the quality objectives, • Work independently and productively, ensuring the resources assigned to the project are adequate and properly trained for the task, • Be self-motivated and capable of taking initiative, • Apply critical thinking skills to establish effective corrective actions for causal factors of quality incidents, • Possess diplomatic skills for addressing Quality and Safety issues with both internal and external parties, • Excellent verbal, written and interpersonal skills., • Other may duties may be assigned PHYSICAL DEMANDS: • Work up to a 12-hour shift doing hard physical work in varying temperatures and outside conditions., • May need to maintain physical strength and stamina; Use arms, hands, and legs fully; Push, pull, and frequently lift and carry objects weighing up to 50 pounds; and stoop, kneel, balance, crouch, crawl, and climb to perform job tasks., • Stamina to perform this task repetitively and continuously for several hour intervals., • Uncontrolled environmental conditions: Constant change in weather and site conditions., • This work environment may involve moderate exposure to unusual elements, such as extreme temperatures, dirt, dust, fumes, smoke, unpleasant odors and/or loud noises., • Ability to wear personal protective equipment is required (including but not limited to- safety toed shoes, gloves, safety glasses, hearing protection, hardhat, vest, etc.)., • Move in and around confined, cluttered, and uneven areas., • May need to work at heights and must be able to abide by all safety and fall-protection requirements; must be able to wear and utilize all safety equipment required for work at heights., • Evaluate information based on measurable standards; and see details in objects or drawings and recognize slight differences in shapes and shadings., • Visualize objects in three dimensions from drawings., • Keep good balance and work at heights., • See well (either naturally or with correction)., • Hear well (either naturally or with correction.), • Coordinate the use of eyes, hands, and feet. HOURS: This position is a Full-Time position scheduled to work typically 50 hours per week. Schedule is subject to project requirements. What's in it for you: Financial Wellbeing • Compensation $45 - $52 per hour, commensurate with experience., • Competitive pay with ongoing performance review and merit increase, • 401(k) with company match & Employee Stock Purchase Plan (ESPP), • Medical, Dental, and Vision insurance (plan choice) - coverage for spouse, domestic partner, and children, • Paid Time Off, Paid Holidays, Bereavement Leave, • Military Leave, including Differential Pay and Benefits Continuation, • Short and long-term disability, life insurance, and accidental death & dismemberment, • Voluntary life insurance, accident, critical illness, hospital indemnity coverage, • Emergency Travel Assistance Program, • Group legal plan Position may be subject to pre-employment screening, which may include background check and drug testing. Accessibility: If you need an accommodation as part of the employment process, contact . Due to the high volume of applications received, we are unable to respond to individual requests regarding application status. Please log into your candidate profile for up-to-date information. MasTec, Inc. is an Equal Employment Opportunity Employer/Disability/Veteran. The Company's policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, genetic information, military status, or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. It is also MasTec's policy to comply with all applicable state, federal and local laws respecting consideration of unemployment status in making hiring decisions. Disclaimer: MasTec and our Subsidiaries will never ask prospective employees for any form of payment or money transfer as part of job application or onboarding. We do not ask prospective employees for information about credit cards or personal passwords, and it does not require applicants to purchase equipment or software. Ensure that all recruiter email addresses end in @mastec.com or @talent.icims.com. If you suspect you are the target of a scam, we advise you to contact your local law enforcement agency and report fraud at ___. MasTec Clean Energy & Infrastructure and our subsidiaries do not work with any third-party recruiters or agencies without a valid signed agreement and partnership with the Corporate Talent Acquisition Team. #LI-MH1 #LI-Onsite Appcast (For Export): #appflash

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. Job Summary: The Outside Sales Executive role at Global Payments focuses on selling the Genius® POS and payment technology platform to small and mid-sized merchants to modernize their operations by implementing the Genius® POS and payment technology platform. Your role is to own the full sales cycle from prospecting to negotiation and closing while receiving sales leadership support. Why You’ll Love This Role: You’ll be delivering modern fintech and POS solutions that help local businesses grow. Multi-Vertical Reach: Unlike restaurant-only competitors, this role spans retail, service, and additional SMB sectors; the possibilities are limitless. Key Responsibilities: Build a pipeline via prospecting, digital outreach, and local networking. Maintain accurate activity tracking in Salesforce and Atlas CRM. Ideal Candidate Profile: B2B sales experience (fintech, SaaS, or merchant services preferred). Strong communication, presentation, and relationship-building skills. Motivated, competitive, and comfortable spending 75%+ time in the field. Compensation & Benefits Base salary: $40,000-$50,00 + On-Target Earnings (OTE): $100,000+ Residual income + monthly and quarterly bonuses Full medical, dental, vision, PTO, and 401k benefits Long-Term Income: Monthly residuals + bonuses. Job Description Adds: Summary of Role: • Full‑cycle sales expectations, • Multi‑vertical opportunity, • Residual income (a major differentiator), • Leadership support via District Managers, • Sell Genius® POS and software solutions across retail, restaurant, and service verticals, • Drive local business growth. Sell award‑winning tech. Build long‑term residual income., • Track pipeline activity in Atlas and Salesforce., • Consult with business owners to improve operations, increase customer loyalty, and streamline payments using Genius®. Who Thrives at GP: • Highly self‑motivated, competitive, and driven to exceed quota, • Ability to spend 75%+ of time in the field meeting merchants Why this Role Matters: “As an Outside Sales Executive, you’d be the face of Global Payments in your territory—helping business owners adopt modern POS and payments through the Genius® platform. You fully own the sales cycle: prospecting, demos, negotiation, and closing, while getting coaching and support from an experienced District Manager.” Why Top Sellers at GP Love This Role: • Strong leadership and sales support, • Long term income through base salary, bonus, and residuals., • Multi-vertical selling- your not locked into one industry you can sell across retail, restaurants, and services based SMBs, which means more opportunities and more income., • Modern technology that is easy to sell. Genius® is modern, industry leading platform that improves payments which gives you a strong value proposition for business owners. Minimum Qualifications • This position requires regular driving to visit client sites, therefore a valid drivers license is necessary, • Valid driver’s license with ability to travel locally up to 75% of the time., • Must reside within the area of the job posting. #EVGGP123 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 ___.

Zurich is currently looking for an Underwriting Specialist or Executive Underwriter Management Liability. As we are expanding, we are looking for candidates to work out of our following location: Baltimore, Maryland Virtual Office, Owings Mills, Washington DC, or Washington DC Virt. Office. We are open to remote work for the right candidate located any where within the U.S.. As a Management Liability Underwriter, you will be responsible for utilizing your sales/marketing, relationship building and analytical skills to analyze and underwrite new and renewal business for Financial Lines Products (Directors and Officers, Employment Practices Liability, Fiduciary Liability and Crime Insurance) for private, nonprofit companies. This is a market facing position and we are looking for someone with a strong sales mindset who will proactively seek renewal and new account opportunities, as well as identify growth opportunities. Building strong relationships with retail distributors (agents and brokers) and our customers in support of business retention and acquisition of new business is a key responsibility of this role. Identifying growth opportunities by determining our customer’s insurance needs and providing the right solutions will also be a critical responsibility of this position. Key Accountabilities of this role: • Administer and monitor underwriting rules and guidelines, rating manual rules, and insurance laws and regulations., • Develop, maintain & collaborate with Line of Business representatives and other business-related needs, as appropriate., • Develop and maintain relationships with distributors (agents & brokers) in support of business retention and acquisition and works with customers and distributors (agents & brokers) to determine their insurance related needs and provide solutions., • Support the organization's sales culture by being a Help Point for agents, brokers and customers., • Proactively seek renewal and new account opportunities., • Complete detailed opportunity assessment with key distributors to identify growth opportunities., • Qualify accounts to meet with the organization's appetite, balanced with sound business opportunity., • Make broker/customer and on-sight calls with a planned and well-prepared purpose., • Mentor team members. This role will be filled at either the Underwriting Specialist or Executive Underwriter Level. The hiring manager will determine the appropriate level based upon the selected applicant’s experience and skill set relative to the qualifications listed for this position. Basic Qualifications: Underwriting Specialist: • Knowledge of line/s of business and the legal and regulatory guidelines, • Knowledge of time restraints for quotes on new and renewal business, • Experience with Microsoft Office OR Executive Underwriter: • Knowledge of Microsoft Office, • Experience working on time restraints for quotes on new and renewal business, • Experience working in a team environment Preferred Qualifications: • Bachelor’s Degree, • Strong verbal and written communication skills, • Strong relationship building skills Your pay at Zurich is based on your role, location, skills, and experience. We follow local laws to ensure fair compensation. You may also be eligible for bonuses and merit increases. If your expectations are above the listed range, we still encourage you to apply—your unique background matters to us. The pay range shown is a national average and may vary by location. The combined salary range for this position is $75,000.00 - $165,000.00. The proposed salary range for the Underwriting Specialist is $75,000.00 - $125,000.00, with short-term incentive bonus eligibility set at 10%. The proposed salary range for the Executive Underwriter is $100,000.00 - $165,000.00, with Global Specialty Incentive Plan bonus eligibility set at 30%. We offer competitive pay and comprehensive benefits for employees and their families. [Learn more about Total Rewards ___.] Why Zurich? At Zurich, we value your ideas and experience. We offer growth, inclusion, and a supportive environment—so you can help shape the future of insurance. Zurich North America is a leader in risk management, with over 150 years of expertise and coverage across 25+ industries, including 90% of the Fortune 500®. Join us for a brighter future—for yourself and our customers. Zurich in North America does not discriminate based on race, ethnicity, color, religion, national origin, sex, gender expression, gender identity, genetic information, age, disability, protected veteran status, marital status, sexual orientation, pregnancy or other characteristics protected by applicable law. Equal Opportunity Employer disability/vets. Zurich complies with 18 U.S. Code § 1033. Please note: Zurich does not accept unsolicited CVs from agencies. Preferred vendors should use our Recruiting Agency Portal. Location(s): AM - New York, AM - Baltimore, AM - Maryland Virtual Office, AM - New Jersey Virtual Office, AM - New York Virtual Office, AM - Owings Mills, AM - Washington DC, AM - Washington DC Virt. Office Remote Working: Hybrid Schedule: Full Time Employment Sponsorship Offered: No Linkedin Recruiter Tag: #LI-RA1 #LI-HYBRID #LI-ASSOCIATE

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 ___.

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. 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 ___.

Vice President, Associate General Counsel Summary The FMR LLC Legal Department has a unique opportunity for an innovative attorney to join our Asset Management Legal Team as Vice President, Cryptocurrency and Blockchain role. This role focuses on groundbreaking asset management products and services offerings for digital assets, including cryptocurrency and tokenization. The role will involve coordination and collaboration with colleagues in the Fidelity Digital Asset Management business group, Asset Management Legal team as well as across the larger Fidelity Legal Group, other Fidelity business units, and control function business partners in the structuring and development of innovative cryptocurrency and blockchain enabled products and ideas in support of investment activities, operations, and distribution of products and services across client segments and for the company’s proprietary and employee accounts. The Expertise and Skills You Bring J.D. required, member in good standing with the New York, New Jersey, California, Illinois, New Hampshire, Rhode Island and/or Massachusetts State Bar Associations. A minimum of 7-10 years of relevant experience in the practice of law having a combination of law firm and in house experience. Expertise in U.S. federal securities laws and regulations, including Securities Act of 1933, Securities Exchange Act of 1934, Advisers Act, the Investment Company Act, and the Commodity Exchange Act. Knowledge and experience with the intersection between the blockchain and transfer agency rules for registered fund products a plus. Substantive expertise and business acumen with the following: crypto and blockchain technology applications in financial services that may include stablecoins, crypto custody, trading, staking, payments, and DeFi, tokenization, and related blockchain and smart-contract enabled financial applications and asset management product offerings. Experience with technology startups and new business initiatives a plus. Crisp, clear business partner with oral and written communication skills, in particular the ability to reduce complex legal issues to straightforward, practical analysis and advice. Natural collaborative approach in influencing and devising pragmatic and creative solutions across a variety of issues in a dynamic environment with an entrepreneurial spirit and desire to learn. Ability to build and maintain strong relationships and credibility, internally and externally. Ability to manage outside counsel to provide excellent legal services in a cost-effective manner. Note: Fidelity is not providing immigration sponsorship for this position The Team Provide legal, regulatory, and strategic advice and counsel to our Fidelity Digital Asset Management team on all aspects of Fidelity’s cryptocurrency and blockchain products and services business. Advise Fidelity Digital Asset Management on the development and ongoing operations of asset management products and services involving digital assets and blockchain technology. Advise business and control function partners in the context of new business initiatives, identification of changing laws and implementation of new legal and regulatory requirements in relation to investment products and services-related matters. Evaluate new technology and tools relating to the digital assets and related asset management product offerings. #FidelityAlts The base salary range for this position is $140,000-285,000 USD 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. Legal

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. This role is eligible for a $5,000 licensing sign on bonus! Sign-on bonus eligibility applies to candidates who apply from March 25 to April 30. This position is fully remote and offers competitive incentive compensation on top of the base pay. The Wealth Solutions Advisor at Empower works with individual consumers in our Investor Services segment to ignite a plan to document and meet financial goals and consolidate assets with Empower. The Senior Financial Advisor utilizes proper licensing, certifications, and industry leading financial tools to develop a deep understanding of customers and provide solutions to improve their financial outlook. In this role, you will not manage a book of business, but will focus on providing solutions to our customers. A successful Advisor quickly and effectively delivers excellent conversations with customers regarding benefits of consolidating accounts to meet financial goals simply and effectively. Success in the role is measured by successful consolidation of outside accounts. What You Will Do: • Cultivate relationships by prudently addressing customer needs, while maximizing the use of Empower products and service benefits available., • Drive scheduled appointments that require one to uncover outside asset opportunities, close on the outside opportunities identified, and seamlessly quarterback the onboarding of outside assets., • Demonstrate holistic knowledge of goal-based planning by presenting solutions for all types of savings goals, including education planning, retirement planning, and other intermediate to long term savings goal planning., • Implement Empower’s conversation model and interactive planning tools to identify participant needs and deliver on appropriate next steps., • Diligently manage time and pipeline to prioritize day based on customer’s needs and likelihood of expanding relationship with Empower., • Govern the process (using SalesForce CRM) to document conversations, follow up appropriately with clients in the processes of bringing over accounts, and effectively follow up on opportunities not yet closed., • Partner with relationship management and advisory teams to prioritize appointments that will consolidate outside assets and seamlessly hand back off to the relationship management team once assets are closed., • Deliver on bi-monthly sales and conversation targets to earn incentive compensation., • Other duties as assigned which may involve some or all of the following: staff meetings, product seminars/training, meeting all federal and state requirements as they pertain to securities and insurance regulations etc., in support of strategic department and firm initiatives. What You Will Bring: • FINRA Series 7, 63, and 65 (or 66) registrations required., • 3+ years of financial industry experience with demonstrated sales success required., • Exceptional listening, verbal, and presentation skills., • In-depth understanding of retail investment vehicles and qualified retirement plans., • FINRA fingerprinting required. What Will Set You Apart: • A passion for helping mass-affluent customers structure and reach intermediate to long term savings goals., • Motivated, self-starter with the drive to thrive in a high velocity, senior sales environment., • Desire to quickly learn and implement new financial tools, computer systems, and conversation expectations., • Team-first and customer-first mentality to preserve and enhance Empower’s phenomenal culture and customer-centric values., • Exceptional organizational and interpersonal skills with a working knowledge of retirement plans. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. • Medical, dental, vision and life insurance, • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup, • Tuition reimbursement up to $5,250/year, • Business-casual environment that includes the option to wear jeans, • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year, • Paid volunteer time — 16 hours per calendar year, • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA), • Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $70,000.00 - $92,500.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer • Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. Job Posting End Date at 12:01 am on: 04-20-2026 Want the latest money news and views shaping how we live, work and play? Stay in the know with The Currency and sign up for Empower’s free newsletter. Workplace Flexibility: Remote - Nationwide

Senior Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. 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).

About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue"our mission"at MSK and around the globe. Nurse Leader MSK Blood Donor Room & Apheresis " Exciting Opportunity at MSK: Join Our Team as a Nurse Leader for our Blood Donor Room & Apheresis at MSK."The Blood Donor Room and Apheresis Team at Memorial Sloan Kettering Cancer Center (MSK) collects life-saving blood components from volunteer and patient donors for patients undergoing cancer treatment. Chemotherapy and radiation therapy deplete blood supply, making a healthy and consistent blood and platelet supply critical for patient care." " Role Overview:"" • Guide Clinical Excellence: Oversee therapeutic apheresis and specialized cell collection procedures, ensuring the highest standards of patient safety, quality, and compassion., • Support Life-Saving Impact: Direct and support blood collection and apheresis services from volunteer donors, securing the critical blood and platelet supply that sustains cancer care., • Educate & Empower: Provide guidance and education to patients, donors, families, and staff, creating an environment of trust, learning, and empowerment., • Develop Future Talent: Mentor and support your team through individualized training and orientation programs, strengthening nursing practice and building the next generation of nurse leaders. " "Key Qualifications:" • Bachelor of Science in Nursing required.", • New York State Registered Nurse (RN) license/registration", • National Certification is a plus.", • A minimum of 5 years recent nursing experience, Blood Donor and Apheresis experience ideal, • Demonstrated leadership skills." Core Skills:", • You're inspired by the opportunity to lead a team that delivers life-saving treatments, supports pioneering research, and helps shape the future of cancer care., • Outstanding communication and self-awareness.", • Mentorship and coaching abilities to support nursing staff development.", • Critical thinking and problem-solving to optimize patient outcomes and operational efficiency.", • Adaptability and resilience to lead change and innovation."", • Collaboration and building trusting relationships.", • Understanding of financial principles, resource allocation, and cost management."" ""Additional Information:", • Location: MSK Main Campus and Koch Center, • Schedule: Day shift, Monday-Friday", • Reporting to the Director Nursing, Ambulatory Services"*Sign on bonus offered to candidates who require relocation to New York Helpful Links: • Compensation Philosophy, • Benefits #LI-POST #LI-ONSITE #IND Pay Range: $164,100.00 - $270,900.00 FSLA Status: Exempt Closing : At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

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 (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).

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

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 (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).

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).

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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).

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. The Leukemia & Transplant Senior Oncology Account Manager is responsible for direct promotion of Jazz Pharmaceuticals’ products, and the development and management of business relationships with therapeutic specialists within an assigned geographical territory. The Senior Oncology Account Manager (OAM) is an integral part of the commercial team that includes all personnel dedicated to the sales and marketing functions. The Senior Oncology Account Manager will implement Jazz Pharmaceuticals’ marketing strategies and marketing tactics to achieve sales goals through short-term and long-term objectives. This position reports directly to the Regional Sales Manager and covers New York City and Long Island, NY. Key Skills: Strategic Account Management: * Customer Understanding * Possess strong sales analytics capabilities with demonstrated understanding of prescribing and purchasing decision processes and any marked differences from national trends * Demonstrate a thorough understanding of: * Internal customer business models - how profit is generated, business and financial risks, cost impacts of managing patient care * External customers - current reimbursement landscape/ managed care, payer issues and trends, and other factors which inform the development of one’s annual territory business plan * Gain understanding of customer needs through thorough research and analysis to understand the specific needs and requirement of each customer/and or account * Identify key stakeholders within the account and understand their roles, priorities, motivations and patient needs * Proven excellence to leverage all available resources - dashboards, alerts, omnichannel reports, speaker programs, conference attendance * Actively gain customer insights and provide timely feedback to cross-functional partners and regional sales manager regarding account business trends, changes in the therapeutic landscape, performance, industry issues and business opportunities and obstacles * Strategic Planning: Keep the needs and expectations of the customer/patients at the forefront of all that we do * Define clear, measurable objectives that align both with the company goals and the goals and needs of the customer * Develop tailored strategies and tactics to address the unique needs and challenges of each customer * Determine the resources required to execute the strategic account plan effectively * Continuously review and adjust the strategic account plan based on activities, feedback, changing market conditions and evolving customer needs * Develop and implement customized account strategic plans with clear next steps, specific strategies and tactics and appropriate utilization of resources while meeting the needs of our customers * Demonstrated collaborative efforts with cross-functional teams including marketing, medical affairs and market access to align and execute on account strategies to achieve common business objectives * Work with customer facing colleagues to facilitate achievement of the respective functional tactical objectives * Recognize changes in the work environment to ensure effective development and implementation of alternate plans to achieve objectives, modify call plan/business plan activities as needed * Strong ability to identify patterns and trends from multi-source data (OmniChannel) for divergent collaborative problem solving Teamwork & Collaboration: * Maintain an enterprise mindset and cross-functional thinking to maximize one Jazz customer engagement * Highly effective at leveraging cross-functional partnerships with marketing, medical affairs and market access with the goal to advance Business Unit and organizational interests * Engage and align with cross-functional partners to mobilize resources and ideas to deliver to successfully meet customer and patient needs * Actively shares insights and best practices across the team; demonstrates trust in others by consistently finding opportunities to contribute to their effectiveness and impact * Work effectively with customer facing colleagues to facilitate achievement of the respective functional teams tactical objectives * Lead where appropriate as the main point of contact for designated accounts and collaborate with cross-functional partners to create a streamlined, organized interface between account stakeholders and all field facing colleagues Selling Effectiveness: * Effective promotion of Jazz Pharmaceuticals Adult Oncology products to physicians and other health care providers within the designated area at both community and Academic centers * Institute a network-selling mindset to customer relationships, seeing them as part of a connected healthcare ecosystem to broaden connections across an account * Stay abreast of industry trends, competitive landscape, and clinical developments in oncology to effectively communicate product differentiation and value proposition * Ability to adapt quickly to new tools and resources for successful customer engagement; leverages analytics to assist with developing insights and next best action plans * Identify, establish and maintain strong relationships with key physicians, health care providers and organizations within assigned territory Product and Scientific Knowledge: * Educate physicians and other health care professionals about Jazz Pharmaceuticals product(s), providing the most current information about the approved indications for the company’s products within the current disease areas of focus: pediatric and young adult acute lymphoblastic leukemia (ALL) and bone marrow transplant * Demonstrates a superior level of effectiveness in communicating, educating, and consulting across multiple disease states * Effectively and appropriately responds to the customer’s questions about other approved products/therapies, based on the clinical information contained in the package insert and per company compliance guidelines * Demonstrate to customers and internal team members a high level of clinical knowledge of a) the disease state, and b) Jazz product(s), based on the clinical information contained in the package insert * Demonstrates confidence in appropriately challenging prescribers about treatment decisions associated with assigned product Execution: * Participate in organizing and facilitating meetings for the exchange of medical and product information in line with the company’s policies, regulatory and legal requirements * Represent company at live and virtual conferences, attend company meetings, educational events, training programs and functions as needed * Utilize CRM tools to effectively manage customer interactions, track sales activities and maintain accurate territory records * Present a positive and professional image of Jazz Pharmaceuticals, and ensure activities are consistent with and enhance the company’s ethical pharmaceutical marketing policies and procedures * Special projects as assigned * Comply with all legal/regulatory guidelines of the Food, Drug and Cosmetic Act, the Prescription Drug Marketing Act, the Pharma Code, OIG guidelines, and all other applicable federal and state regulations * Perform all activities within allocated budget Required Experience * Four-year college/university degree * Experience in Oncology * Excellent verbal and written communication skills with an effective presentation style both in face to face and virtual interactions to connect and build credibility with healthcare professionals * Ability to meet territorial travel requirements Preferred Experience * Post-graduate business school study, training * Minimum of 5 years in the oncology market * Strong clinical, technical and scientific knowledge of product(s); applicable disease states desired * Strategic thinker who can drive a strategic account business plan * Strong key account management experience working in complex academic and community accounts, identifying influential stakeholders, and working with them to better serve patients * Demonstrated history of strong business acumen, problem solving, effective prioritization, account management and effective sales data analytics skills * Skillful in fostering teamwork and collaboration in cross-functional account management * Results oriented with a proactive and Self-motivated approach to driving sales growth * Experience with pediatric and young adult ALL and bone marrow transplant highly preferred * Key Account & Market dynamics knowledge Description of Physical Demands * Frequent travel between meeting sites * Frequently operating a computer, printer, telephone and other similar office machinery * Frequent interactions with external contacts in their office environment with little exposure to excessive noise, dust, fumes, vibrations and temperature changes * Frequent computer laptop or tablet use, not usually at a workstation * Responsibilities may require a work schedule that may include working outside of “normal” work hours, in order to meet business demands * Frequent public contact requiring appropriate business apparel #LI-Remote Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $155,200.00 - $232,800.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: ___.

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).

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).

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

Lead Machine Learning Engineer 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).

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).

This position is responsible for spray equipment (e.g. airless, conventional, electrostatic, pressure washers) at the store or at customers’ job sites. This includes performing necessary repairs, providing training on equipment, and maintaining inventory as required. Job duties involve contact with customers, which may include minors; and access to cash and other payment methods, electronic equipment, personal information, store merchandise and other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company’s customers, staff, employees, vendors, contractors, and the general public. The individual selected for this role will be expected to work at Store #704313, located at: 185 Moonachie Road, Moonachie, NJ 07074 At Sherwin-Williams, our purpose is to inspire and improve the world by coloring and protecting what matters. Our paints, coatings and innovative solutions make the places and spaces in our world brighter and stronger. Your skills, talent and passion make it possible to live this purpose, and for customers and our business to achieve great results. Sherwin-Williams is a place that takes its stability, growth and momentum and translates it to possibility for our people. Our people are behind the strength of our success, and we invest and support you in: Life … with rewards, benefits and the flexibility to enhance your health and well-being Career … with opportunities to learn, develop new skills and grow your contribution Connection … with an inclusive team and commitment to our own and broader communities It's all here for you... let's Create Your Possible What is the Process to get Started? Step 1 – Online Application Find the role(s) that interest you on our Careers page: ___ Set aside 15 minutes to create your profile by entering or importing your details from one of our job board partners Step 2 – Digital Interview Upon review of your application, qualified candidates will be invited to complete a digital video interview via HireVue, our interview partner. The interview will consist of a few behavioral based questions You’ll be able to record and complete your video interview anytime, anywhere! While you can complete this video interview on your own schedule, we ask that this step be completed within 7 days of receiving an invitation Step 3 – In-Store Interview Your video interview is reviewed by a member of our Recruitment team and our top candidates are invited to meet with our team in a store, specialty wholesale branch, floorcovering facility or delivery service terminal. At Sherwin-Williams, part of our mission is to help our employees and their families live healthier, save smarter and feel better. This starts with a wide range of world-class benefits designed for you. From retirement to health care, from total well-being to your daily commute—it matters to us. A general description of benefits offered can be found at ___. Click on “Candidates” to view benefit offerings that you may be eligible for if you are hired as a Sherwin-Williams employee. Compensation decisions are dependent on the facts and circumstances of each case and will impact where actual compensation may fall within the stated wage range. The wage range listed for this role takes into account the wide range of factors considered in making compensation decisions including skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The wage range, other compensation, and benefits information listed is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable federal, state, and local laws including with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act where applicable. Sherwin-Williams is proud to be an Equal Employment Opportunity employer. All qualified candidates will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information, creed, marital status or any other consideration prohibited by law or by contract. As a VEVRAA Federal Contractor, Sherwin-Williams requests state and local employment services delivery systems to provide priority referral of Protected Veterans. Please be aware, Sherwin-Williams recruiting team members will never request a candidate to provide a payment, ask for financial information, or sensitive personal information like national identification numbers, date of birth, or bank account numbers during the application process. RESPONSIBILITIES • Support the sales efforts at a Sherwin-Williams paint store, servicing wholesale and retail customers., • Perform repairs on all types of spray equipment (e.g. airless, conventional, electrostatic, pressure washers.) at the store or at customers’ job sites, • Conduct hydraulic and warranty repairs, • Rebuild pumps, • Repair branch tinting and mixing equipment, • Educate other employees and customers on spray equipment, • Maintain an inventory of spray partsMinimum Requirements:, • Must be at least eighteen (18) years of age, • Must be legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future, • Must be able, with or without reasonable accommodation, to retrieve material from shelves and floor stacks and lift and carry up to 50 lbs. frequently and up to 70 lbs. on occasion, • Must be able to read, write, comprehend, and communicate in English, • Must be able to read, write, comprehend, and communicate in Spanish, • Must be willing to work all scheduled hours, which may include evenings and weekends, with or without reasonable accommodation, • If internal to Sherwin-Williams, you must have received at least a “meets expectations” (3) rating on your most recent performance appraisal, • If internal to Sherwin-Williams, you must have completed all HR Cloud eLearning courses required for your current position Preferred Qualifications:, • Have a valid, unrestricted Driver’s License, • Have at least a High School diploma or GED, • Have prior work experience repairing spray and/or hydraulic pumps and equipment, • Have at least one (1) year experience working in a delivery, retail, or customer service position, • Have previous work experience selling paint and paint related products Have previous work experience operating tinting and mixing equipment

LifeWorks is seeking a seasoned Food Service Manager to oversee an upscale corporate dining operation. In this leadership role, you?ll be responsible for crafting and executing innovative dining solutions that delight our customers and meet their evolving tastes. You?ll manage a team and ensure smooth operations in a fast-paced environment where guests order freshly prepared meals from a diverse menu. LifeWorks Restaurant Group, an independently operated division of Aramark, designs custom solutions for clients looking to take amenities to the next level. Our team of forward-thinkers look at each opportunity as an experience?not a requirement?and deliver out-of-this world, truly sensory experiences, feeding company culture. From the beginning of each client relationship, the team at LifeWorks Restaurant Group establishes a transparency with its partners, from space design and delivery to marketing of the final, branded product. Learn more by visiting - Link here ___ COMPENSATION: The salary range for this position is $70,000 to $80,000. If both numbers are the same, that is the amount that Aramark expects to offer. This is Aramark?s good faith and reasonable estimate of the compensation for this position as of the time of posting. BENEFITS: Aramark offers comprehensive benefit programs and services for eligible employees including medical, dental, vision, and work/life resources. Additional benefits may include retirement savings plans like 401(k) and paid days off such as parental leave and disability coverage. Benefits vary by location and are subject to any legal requirements or limitations, employee eligibility status, and where the employee lives and/or works. For more information about Aramark benefits, click here ______. There is no predetermined application window for this position, the position will close once a qualified candidate is selected. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including, but not limited to, the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and the San Francisco Fair Chance Ordinance to the extent that those laws apply to the opportunity. Leadership • Use Aramark's coaching model to engage and develop team members to their fullest potential, • Reward and recognize employees, • Ensure individual and team performance meets objectives and client expectations, • Plan and lead daily team briefings, • Ensure safety and sanitation standards in all operations Client Relationship • Identify client needs and communicate operational progress Financial Performance • Ensure the completion and maintenance of P&L statements, • Deliver client and company financial targets, • Adopt all Aramark processes and systems, understand performance metrics, data, order and inventory trends; educate teams on key levers to improve margins Productivity • Bring value through efficient operations, appropriate cost controls, and profit management, • Follow the Operational Excellence fundamentals by meeting and maintaining food and labor initiatives, • Ensure entire team is trained and able to implement, • Supervise team regarding production, quality and control Compliance • Maintain a safe and healthy environment for clients, customers and employees, • Follow all applicable policies, rules and regulations, including but not limited to those relating to safety, health, wage and hour Additional Responsibilities • Lead the front of the house of the dining operation (Cafeteria/ Residential Dining Facility) in conjunction with the Food Service Director, • Plans, directs, and coordinates food service activities in order to deliver a finished product to the customer At Aramark, developing new skills and doing what it takes to get the job done make a positive impact for our employees and for our customers. In order to meet our commitments, job duties may change or new ones may be assigned without formal notice. • Requires at least 1 year of experience, • Requires at least 1 year of experience in a management role, • Bachelor's degree or equivalent experience preferred, • Strong interpersonal skills, • Ability to maintain effective client and customer rapport for mutually beneficial business relationships, • Ability to demonstrate excellent customer service using Aramark's standard service model, • Ability to maintain an effective working relationship with other departments to a unified food service experience for all customers, • Requires occasional lifting, carrying, pushing, and pulling up to 50 lb. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. At Aramark, we believe that every employee should enjoy equal employment opportunity and be free to participate in all aspects of the company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, protected veteran status or other characteristics protected by applicable law. About Aramark The people of Aramark proudly serve millions of guests every day through food and facilities in 15 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at ___ or connect with us on ___, ___ and ___.

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).

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously 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 deliver GenAI models and components that solve complex business problems, while working in collaboration with the Product and Data Science teams. * Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. * Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. * Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. * Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. * Retrain, maintain, and monitor models in production. * Construct optimized, scalable data pipelines to feed ML models. * 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, Go, 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, Go or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 (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).

Senior Machine Learning Engineer (KServe + Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow) 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 deploy ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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).

Application Deadline: Address: 151 W 42nd Street Job Family Group: Business Management Performs a variety of administrative and clerical tasks, financial and human resources administration and provides professional support to one or more Managers and their direct reports. The role provides general offices services ensuring all administrative and operational processes and control standards are followed, while seeking to determine, develop, and participate in implementation of improvement opportunities, contributing to the effective and efficient operation of the business group. • Provides subject matter expertise and advice related to assigned strategic initiatives and act as relationship management for assigned initiatives., • Builds effective relationships with internal/external stakeholders., • Breaks down strategic problems, and analyses data and information to provide insights and recommendations., • Gathers and formats data into regular and ad-hoc reports, and dashboards., • Leads the planning, coordinating and implementing department events., • Provides senior level administrative and operational support within a large, diverse team including one or more senior executives., • Employs systems (e.g. customized exception reports, tracking reports etc.) to manage information., • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting., • Provides input into the planning and implementation of administrative programs., • Coordinates and monitors budgets and reporting on results vs. budget., • Provides coaching and mentoring to more junior administrative assistants to support them in developing capability to carry out current job accountabilities., • Manages and monitors calendars and upcoming events. Dispatches meeting invitations, books meeting rooms and arranges for resources and other requirements in support of smooth and efficient meeting facilitation. Supports the coordination and implementation of department events., • Develops and maintains a filing system; ensures business and operational reports, forms, and other documentation, paper or electronic, are readily available., • Supports the development of tailored messaging, which may include writing, editing and distributing communications (e.g., correspondence, presentations, policies & procedures)., • Dispatches outgoing communications. Answers central phone line, responding to and resolving/escalating inquiries., • Processes invoices for payment in adherence with documented processes and guidelines and vendor agreements, • Prepares and logs departmental expense claims and reports. Tracks expenses to ensure they stay within budget., • Makes travel arrangements, booking flight/hotel reservations as needed., • Liaises with internal business units and external vendors and participates in the local coordination and implementation of premises and building related matters including incoming / outgoing staff and contractors, relocations, office planning and new furniture requirements while ensuring minimal interruptions to business operations., • Maintains supplies inventory by checking stock to determine inventory level; anticipating needed supplies; placing and expediting orders for supplies; verifying receipt of supplies., • Ensures all vacation and absence scheduling is documented, takes into account critical business needs, follows guidelines, and is managed consistently across employees in the group; identifies scheduling conflicts for resolution., • Coordinates training requirements for staff (research, booking, cancellations, confirmations, etc.)., • Collaborates with internal and external stakeholders in order to deliver on business objectives., • Organizes work information to ensure accuracy and completeness., • Focus may be on a business/group., • Thinks creatively and proposes new solutions., • Exercises judgment to identify, diagnose, and solve problems within given rules., • Works mostly independently., • Broader work or accountabilities may be assigned as needed. Qualifications: • Typically 7+ years of relevant experience in an administrative/ professional support function, demonstrating progressive responsibility and post-secondary degree in related field of study., • Specialized knowledge from education and/or business experience., • Verbal & written communication skills - In-depth., • Collaboration & team skills - In-depth., • Analytical and problem solving skills - In-depth., • Influence skills - In-depth. Please note the salary for this specific position in New York City is $80,000 - 95,0000. Salary: $49,500.00 - $91,300.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: ___ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at ___ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ___ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Application Deadline: 04/29/2026 Address: 151 W 42nd Street Job Family Group: Capital Mrkts Sales & Service BMO Capital Markets is a leading, full-service financial services provider. We offer corporate and investment banking, treasury management, as well as research and advisory services to clients around the world. #bmocapitalmarkets MANDATE The Team Lead, Administration reports directly to the Senior Business Manager in I&CB Strategy & Business Management. The incumbent is a direct manager for the Administrative and Executive assistants and key stakeholder for the Professionals they support. The incumbent is accountable for planning, developing and implementing effective administrative services and strategies across I&CB. The incumbent is responsible for resource planning and placement, goal setting, performance management and professional development of the individuals they manage. The incumbent is responsible for full cycle recruiting for administration support including the coordination of new hire onboarding and training as well as administrative support coverage. The incumbent is responsible for driving the year-end process in coordination and concert with the administrators and professionals, including performance reviews, ratings and compensation. In a high-performance, winning culture, the incumbent should demonstrate leadership skills in the areas of negotiation, coaching, communication and problem solving. ACCOUNTABILITIES A) Managerial Leadership • Lead team in the delivery of exceptional administrative services by setting standards for service level and quality of work, • Demonstrate leadership skills to administrative staff and by acting as a key stakeholder the professionals they support by way of coaching, problem solving and performance feedback in order to drive a high performance culture. Escalation of issues to the HRBP as required, • Partner with LOB professionals to assess performance during mid-year and year-end process (inclusive of Corrective Actions & Performance Improvement Plans), • Identify and train SMEs on admin centric processes, • Manage and facilitate monthly check-ins, • Management of Workday, including the recruitment and selection of contingent talent and new FTE, • Ensure the scheduling of sufficient and appropriate staff to cover current and future workload, • Regularly solicits feedback (as per schedule) for new employees, • Required to understand the different skills and capabilities of varying roles within the team B) Project and Process Management • Foster an environment of continuous improvement, and look for ways to identify process improvements and innovations, • Facilitate roll-out and training of new initiatives, • Provide management on all Best Practices by job function and benchmarks C) Risk Management & Control • Manage and refine risk approaches within admin process by ensuring required policies and controls are implemented and adhered to, • Ensure audit/regulatory guidelines and requirements are adhered to AUTHORITIES: This role has the authority to: • Recommend or approve hiring and reward (compensation and recognition) decisions, • As required provide guidance on addressing performance gaps, including the creation of Action Plans for Success and Performance Improvement Plans, • Recommend changes in standards or processes, • Recommend or approve strategy, processes, solutions, enhancements, • Other authorities as delegated by I&CB Leadership CROSS-FUNCTIONAL RELATIONSHIPS: I&CB Senior Management Product/Sector Heads Human Resources Employee Relations Compliance/Legal Finance SCOPE AND IMPACT This role has direct or in-direct impact on the following: • Mitigation of negative external client impact by providing high quality administrative interaction, • Talent management and the impact of the leadership role in the success of the Bank’s vision/mission and the high performance culture KNOWLEDGE AND SKILLS: Knowledge • Undergraduate Degree in a related field. Other professional related training to keep skills current with office productivity software and to develop leadership capability., • Requires a minimum 6 year’s experience in an administrative/ professional support function, with any experience in a similar supervisory role. In addition experience in working in a complex fast-paced environment, dealing with complex issues and managing conflicting priorities within scope of a similar role., • Some HR experience, specifically in recruiting, performance management, and training/coaching an asset., • Solid project management skills required to coordinate and lead a variety of initiatives., • Seasoned knowledge of bank financial processing standards and key business processes., • Seasoned broad business knowledge and specific understanding of the organizational unit, its functions, products and customer groups., • Good working knowledge of financial and accounting principles and human resources policy. Skills • Ability to work with limited direction and ambiguity to supervise and allocate work and to make decisions within scope of accountability., • Extremely detail oriented, very well organized, able to manage time and multi-task to accomplish a wide variety of tasks with conflicting priorities., • Ability to deal with clients in a professional and courteous manner by developing and leveraging professional working relationships., • Ability to employ and leverage knowledge of the organization and the supported business unit’s uniqueness to carry out accountabilities. Base Salary Range: $90,250.00 - 125,000.00 USD Annual - subject to skills and experience Salary: Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: ___ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at ___ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ___ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Application Deadline: Address: 151 W 42nd Street Job Family Group: Capital Mrkts Sales & Service Provides a combination of deep industry sector expertise, innovative thinking in a team-based approach and world class execution across full equity-linked product suite to clients through an integrated Capital Markets platform using a sector ecosystem approach. Collaborates to generate creative, client-focused solutions to prospective and current clients. • Develops written internal and external marketing on pitch material., • Supports deal teams in development, presentation, and winning mandates., • Seeks to develop an understanding of client needs and outcomes., • Provides materials to support an outstanding client experience., • Identifies opportunities for increased efficiency and improved service to internal and external clients., • Provides analytical findings to deal teams., • Assist in preparing origination / marketing materials to pitch new transaction ideas to clients. You will be involved in the Equity-Linked Capital Markets coverage effort for a variety of corporate clients across industries and countries, • Understand the pricing of various convertible and derivative structures and help with the development of analysis tools, • Utilize financial analysis to proactively identify opportunities to cross-sell, • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders., • Builds effective relationships with internal/external stakeholders., • Ensures alignment between stakeholders., • Researches and analyzes company and industry financial and operating information., • Applies technical concepts and understands implication of work to client/transaction., • Develops an understanding of and proficiency in using all required systems and models., • Participates in defining the communication plan designed to positively influence or change behaviour and develops tailored messaging, • Provides feedback on, and supports continuous improvement opportunities., • Integrates information from multiple sources to enable more efficient processes, enhanced analysis, and/or streamlined reporting., • Delivers financial modeling to support strategic recommendations to clients., • Considers risk, internal controls and compliance as part of day-to-day accountabilities and adheres to policies and procedures., • Focus may be on a business/group., • Thinks creatively and proposes new solutions., • Exercises judgment to identify, diagnose, and solve problems within given rules., • Works mostly independently., • Broader work or accountabilities may be assigned as needed., • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations. Qualifications: • Typically between 1 - 3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience., • An undergraduate degree with academic coursework in finance, economics, or accounting with outstanding academic achievement., • Financial analysis training and experience., • 1+ years of successive relevant experience within investment and/or corporate banking., • Derivatives background/experience helpful, • Shows initiative, prioritizes work, multi-tasks effectively., • Excellent analytical skills to include business, financial, and credit analysis areas, • Expertise in using financial computer applications and database management tools., • Skilled in creating statistical presentations., • Creative, insightful, and resourceful., • Strong interpersonal skills within a demanding team environment., • Strong ability to review and assess detailed information daily on multiple projects in an organized manner., • Ability to work within a team in a fast-moving, results-driven environment, • Ability to work independently and to take initiatives, • Verbal & written communication skills - In-depth., • Collaboration & team skills - In-depth., • Analytical and problem solving skills - In-depth., • Influence skills - In-depth. The salary range for this role is $110,000.00 up to $135,000.00 USD (subject to the candidate meeting the specific skills, experience, education, and qualification requirements) Salary: Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: ___ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at ___ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ___ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Application Deadline: Address: 151 W 42nd Street Job Family Group: Capital Mrkts Sales & Service Provides a combination of deep industry sector expertise, innovative thinking in a team-based approach and world class execution across full equity-linked product suite to clients through an integrated Capital Markets platform using a sector ecosystem approach. Collaborates to generate creative, client-focused solutions to prospective and current clients. • Participates in deal teams to develop, present, and win mandates for new opportunities., • Creates pitch books for clients with respect to financial solutions and participate in their presentation to clients., • Assist in preparing origination / marketing materials to pitch new transaction ideas to clients. You will be involved in the Equity-Linked Capital Markets coverage effort for a variety of corporate clients across industries and countries, • Understand the pricing of various convertible and derivative structures and help with the development of analysis tools, • Utilize financial analysis to proactively identify opportunities to cross-sell, • Monitors client, client industry, and regulatory agencies for potential changes that may affect client portfolio and business needs., • Initiates contact with partners for new client sales., • Directly manages a diverse portfolio of private and middle market companies with progression toward increasing client responsibility., • Reviews and continually monitors performance of existing accounts and client relationships., • Conducts due diligence (e.g. client visits, business model analysis, and comprehensively reviewing industry trends and related regulations)., • Identifies opportunities to diversify client portfolios., • Identifies opportunities for increased efficiency and improved service to internal and external clients., • Provides analytical findings to deal teams., • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders., • Builds effective relationships with internal/external stakeholders., • Ensures alignment between stakeholders., • Uses financial analysis to proactively identify opportunities to cross-sell., • Generates updated financial models / analyses as dictated by business needs and industry requirements., • Analyzes/ assesses industry compilations., • Applies appropriate technical concepts and completes/leads consistent and reliable technical and financial reports/analyses to support client deliverables., • Understands the complexity of transactions and related risk (credit, market, operational, legal/compliance, etc.)., • Provides feedback on, and supports continuous improvement opportunities., • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting., • Provides direction and feedback to Analysts; accountable for development and mentoring of Analysts., • Delivers financial modeling to support strategic recommendations to clients., • Considers risk, internal controls and compliance as part of day-to-day accountabilities and adheres to policies and procedures., • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus., • Exercises judgment to identify, diagnose, and solve problems within given rules., • Development of relationships with buyside, • Works independently on a range of complex tasks, which may include unique situations., • Broader work or accountabilities may be assigned as needed., • Typically between 2 - 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience., • An undergraduate degree with academic coursework in finance, economics, or accounting and an outstanding academic achievement., • 2+ years of investment banking or valuation experience at a financial analyst level., • Knowledge of capital markets, investment banking products and applicable regulations., • Credit analysis experience/ understanding., • Derivatives background/experience helpful, • Good knowledge of the organizational portfolio management policies and objectives., • Demonstrates solid deal/transaction execution and/or project management skills., • Exceptional skills in quantitative analytics, financial modeling and credit analysis skills., • Expertise in financial computer applications and database management tools., • Technical proficiency gained through education and/or business experience., • Ability to work independently and to take initiatives, • Ability to work within a team in a fast-moving, results-driven environment, • Verbal & written communication skills - In-depth., • Collaboration & team skills - In-depth., • Analytical and problem solving skills - In-depth., • Influence skills - In-depth., • Data driven decision making - In-depth. The salary range for this role is $175,000.00 up to $225,000.00 USD (subject to the candidate meeting the specific skills, experience, education, and qualification requirements) Salary: Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: ___ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at ___ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ___ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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

Bilingual Spanish Preferred IMPORTANT NOTICE FOR INTERNAL APPLICANTS ONLY: Internal applicants MUST apply to the internal job posting through the Mattress Firm Workday system. To view the list of current internal Job Postings, type “Jobs Hub” into the Workday search bar and click on the link. If you are unable to view the job posting, don't hesitate to get in touch with your Talent Acquisition representative. Is your current job a nightmare? Make it a dream job at Mattress Firm®! Join Mattress Firm and have the job of your dreams! Helping people sleep well so they live well is at the core of what we do. The right mattress matters, and so does the right career. Our Sleep Experts® are at the heart of what we do: helping customers find their dream mattress and get better sleep. By joining our team, you’ll get to know everything sleep and help us create an exceptional in-store experience. This isn’t your typical retail job—achieve your financial dreams with uncapped commissions and a 401(k) match. Job Details: Job Description The Sleep Expert will elevate and enhance the customer's in-store experience by being a trusted sleep authority and offering best-in-class products. Experts will execute Mattress Firm selling programs with the use of digital tools and support a seamless omnichannel experience to create a compelling and engaging environment that puts the customer at the center. * Create an environment where the customer is always at the center by cultivating strong relationships. * Provide technical and product knowledge information to customers and serve as subject matter expert. * Drive individual sales performance and KPIs while demonstrating company values and supporting company initiatives. * Maintain customer relationships during and after purchase (resolve customer issues, send delivery reminders, etc.). * Maintain awareness of the competition, advertisements and services offered by competitors. * Leverage social media to positively impact brand awareness and increase sales. * Lift, push, or pull 50+ pounds. Benefits Included: * Excellent career growth opportunities through on-the-job training and development programs * 401(k) with employer matching * Mental health and life resources * Medical, dental, prescription, and vision plans * Get paid on-demand * Base pay or uncapped commission * Employee discounts on Mattress Firm sleep products and accessories Compensation: Competitive pay range of $58,000 - $65,000 per year * depending on qualifications and experience. For eligible Leadership and individual contributor roles, additional bonus opportunities may be available and awarded at the discretion of the Company. *Pay amount does not guarantee employment for any particular time. Legal authorization to work in the United States without the need for sponsorship. We require proof of eligibility to work in the United States. EOE/Vet/Disability Now don't fall asleep out there. The sooner that we receive your application, the sooner you are to the career of your dreams! Ready to apply? Mattress Firm is accepting applications until: 05/01/2026. Diverse Candidates are Encouraged to Apply. Mattress Firm is an equal employment opportunity employer and is committed to maintaining a non-discriminatory work environment and does not discriminate against any applicant or employee for employment based on race, color, religion, sex, national origin, age, disability, veteran status, marital status, sexual orientation, gender identity, or any other characteristic protected by applicable law. Mattress Firm is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.

Bilingual Spanish Preferred IMPORTANT NOTICE FOR INTERNAL APPLICANTS ONLY: Internal applicants MUST apply to the internal job posting through the Mattress Firm Workday system. To view the list of current internal Job Postings, type “Jobs Hub” into the Workday search bar and click on the link. If you are unable to view the job posting, don't hesitate to get in touch with your Talent Acquisition representative. Is your current job a nightmare? Make it a dream job at Mattress Firm®! Join Mattress Firm and have the job of your dreams! Helping people sleep well so they live well is at the core of what we do. The right mattress matters, and so does the right career. Our Sleep Experts® are at the heart of what we do: helping customers find their dream mattress and get better sleep. By joining our team, you’ll get to know everything sleep and help us create an exceptional in-store experience. This isn’t your typical retail job—achieve your financial dreams with uncapped commissions and a 401(k) match. Job Details: Job Description The Sleep Expert will elevate and enhance the customer's in-store experience by being a trusted sleep authority and offering best-in-class products. Experts will execute Mattress Firm selling programs with the use of digital tools and support a seamless omnichannel experience to create a compelling and engaging environment that puts the customer at the center. * Create an environment where the customer is always at the center by cultivating strong relationships. * Provide technical and product knowledge information to customers and serve as subject matter expert. * Drive individual sales performance and KPIs while demonstrating company values and supporting company initiatives. * Maintain customer relationships during and after purchase (resolve customer issues, send delivery reminders, etc.). * Maintain awareness of the competition, advertisements and services offered by competitors. * Leverage social media to positively impact brand awareness and increase sales. * Lift, push, or pull 50+ pounds. Benefits Included: * Excellent career growth opportunities through on-the-job training and development programs * 401(k) with employer matching * Mental health and life resources * Medical, dental, prescription, and vision plans * Get paid on-demand * Base pay or uncapped commission * Employee discounts on Mattress Firm sleep products and accessories Compensation: Competitive pay range of $58,000 - $65,000 per year * depending on qualifications and experience. For eligible Leadership and individual contributor roles, additional bonus opportunities may be available and awarded at the discretion of the Company. *Pay amount does not guarantee employment for any particular time. Legal authorization to work in the United States without the need for sponsorship. We require proof of eligibility to work in the United States. EOE/Vet/Disability Now don't fall asleep out there. The sooner that we receive your application, the sooner you are to the career of your dreams! Ready to apply? Mattress Firm is accepting applications until: 05/01/2026. Diverse Candidates are Encouraged to Apply. Mattress Firm is an equal employment opportunity employer and is committed to maintaining a non-discriminatory work environment and does not discriminate against any applicant or employee for employment based on race, color, religion, sex, national origin, age, disability, veteran status, marital status, sexual orientation, gender identity, or any other characteristic protected by applicable law. Mattress Firm is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.

Bilingual Spanish Preferred IMPORTANT NOTICE FOR INTERNAL APPLICANTS ONLY: Internal applicants MUST apply to the internal job posting through the Mattress Firm Workday system. To view the list of current internal Job Postings, type “Jobs Hub” into the Workday search bar and click on the link. If you are unable to view the job posting, don't hesitate to get in touch with your Talent Acquisition representative. Is your current job a nightmare? Make it a dream job at Mattress Firm®! Join Mattress Firm and have the job of your dreams! Helping people sleep well so they live well is at the core of what we do. The right mattress matters, and so does the right career. Our Sleep Experts® are at the heart of what we do: helping customers find their dream mattress and get better sleep. By joining our team, you’ll get to know everything sleep and help us create an exceptional in-store experience. This isn’t your typical retail job—achieve your financial dreams with uncapped commissions and a 401(k) match. Job Details: Job Description The Sleep Expert will elevate and enhance the customer's in-store experience by being a trusted sleep authority and offering best-in-class products. Experts will execute Mattress Firm selling programs with the use of digital tools and support a seamless omnichannel experience to create a compelling and engaging environment that puts the customer at the center. * Create an environment where the customer is always at the center by cultivating strong relationships. * Provide technical and product knowledge information to customers and serve as subject matter expert. * Drive individual sales performance and KPIs while demonstrating company values and supporting company initiatives. * Maintain customer relationships during and after purchase (resolve customer issues, send delivery reminders, etc.). * Maintain awareness of the competition, advertisements and services offered by competitors. * Leverage social media to positively impact brand awareness and increase sales. * Lift, push, or pull 50+ pounds. Benefits Included: * Excellent career growth opportunities through on-the-job training and development programs * 401(k) with employer matching * Mental health and life resources * Medical, dental, prescription, and vision plans * Get paid on-demand * Base pay or uncapped commission * Employee discounts on Mattress Firm sleep products and accessories Compensation: Competitive pay range of $58,000 - $65,000 per year * depending on qualifications and experience. For eligible Leadership and individual contributor roles, additional bonus opportunities may be available and awarded at the discretion of the Company. *Pay amount does not guarantee employment for any particular time. Legal authorization to work in the United States without the need for sponsorship. We require proof of eligibility to work in the United States. EOE/Vet/Disability Now don't fall asleep out there. The sooner that we receive your application, the sooner you are to the career of your dreams! Ready to apply? Mattress Firm is accepting applications until: 05/01/2026. Diverse Candidates are Encouraged to Apply. Mattress Firm is an equal employment opportunity employer and is committed to maintaining a non-discriminatory work environment and does not discriminate against any applicant or employee for employment based on race, color, religion, sex, national origin, age, disability, veteran status, marital status, sexual orientation, gender identity, or any other characteristic protected by applicable law. Mattress Firm is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 Description The Quality Review Specialist (QRS) is primarily responsible for the communication and satisfaction of servicing internal and external clients. The single most important aspect for success as a QRS is to leverage their industry knowledge to provide proactive and responsive communication with MAP Colleagues. They must directly communicate with team members across the organization, utilizing Teams messaging, phone calls, virtual meetings and/or email. They will engage in active communication, setting clear and detailed expectations with colleagues and Directors as an essential skill. The QRS is responsible for reviewing the quality of client and annual valuations, government forms, correction calculations, providing technical assistance to MAP Colleagues, and assisting leadership as needed. This position will strive to ensure internal and external clients have high-quality experience interacting with the firm. QRS is responsible for excellence in the areas of Annual Valuation, Compliance/testing, Internal Revenue Code, ERISA law while building relationships and collaborating with cross-functional teams. May participate in projects as assigned. Key Responsibilities Authority * Ensure client annual compliance package and valuations are accurate and returned. * Ensure reviewed work is compliant according to federal regulations and completed based on MAP’s Quality Standards. * Work with Directors of Account Management and Training with ongoing improvements and/or efficiency with operational workflow within the Quality Review Team. * Serve as a contact for internal colleagues which includes timely responses to all inquiries, via Teams phone/virtual and/or email, as necessary. Responsibility / Accountability * A QRS must have experience in Qualified Retirement Plan administration including all aspects of administration, compliance testing and regulatory forms. * Ensure internal colleagues receive the proper service regarding inquiries, valuations, plan documents and compliance through appropriate management. * Increase & maintain industry knowledge of Internal Revenue Code (IRC), ERISA, and other relevant laws by attending webinars, virtual training, certifications and/or obtaining designations as presented by either direct manager or senior leadership. * Attend and actively participate in all team and direct manager meetings. Principle Processing * Maintain and demonstrate a high product standard of reviewed work to ensure client and colleague satisfaction. * Review 8-10 annual valuations per day for accuracy of census, reconciliation, compliance testing, regulatory filings, late deposit corrections and proper documentation completed based on MAP’s standard processes. * Review QDRO’s assigned. * Identify and return inaccurate valuations to the preparer. * Coordinate with client-facing team members to address issues of plan qualification, fiduciary responsibility or other plan regulatory issues. * Advise when corrective Plan Amendments are needed. * Respond to and assist with inquiries and escalated issues from team members covering plan qualification, fiduciary responsibility, regulatory issues, plan establishment, merger, spin-offs, plan provisions, plan terminations and compliance corrections. * Escalate review items to the team manager, if necessary. * Collaborate with QR Team and Compliance Manager to identify consistent errors where additional training would be beneficial for the QR Team, as well as other departments. * Deliver assigned work and projects within deadlines meeting or exceeding expectations. * The Quality Review Specialist must be a good communicator, display a positive ‘can do’ attitude, be patient, muti-task and work well on both routine and non-route activities. They must be outstanding time managers, capable of working strategically and thinking through issue If you are a motivated and strategic quality review professional looking to contribute to the growth of a dynamic organization, we invite you to apply for the Quality Review Specialist position. Join us in shaping the future of MAP Retirement and delivering exceptional value to our clients. * Minimum 3 years of experience in third-party administration. * Minimum 5 years of experience in financial services operations environment. * PensionPro and FTW experience a plus. * Microsoft Office 360, SharePoint, Notebook, PowerPoint experience preferred PI928090d3e0ed-25405-39927681

If you are a current associate, you will need to apply through our internal career site. Please log into Workday and click on the Jobs Hub app or search for Browse Jobs. Credentialed Veterinary Technician (CVT) Banfield Pet Hospital is hiring full-time and part-time CVTs at the following hospital locations: * Carlstadt Hospital: 675 Paterson Ave, Ste 3, Carlstadt, NJ 07072 * Garfield Hospital: 244 Passaic St, Garfield, NJ 07026 * Paramus Hosptial: 60 Route 17 N, Paramus, NJ 07652 * Secaucus Hospital: 400 Mill Creek Dr, Secaucus, NJ 07094 * Secaucus South Hospital: 190 County Ave, Secaucus, NJ 07094 The pay range for this role is $25.32 - $36.57/hour. The pay range listed reflects a general hiring range for the area, with the specific rate determined based on the candidate’s experience, skill level, abilities, education, and may vary depending on location or minimum wage laws. Who we are We’re Banfield. You’ve probably seen us around. We started in 1955 as a small practice with big ideas about preventive pet care. We’re now the leading general veterinary care practice in America, where providing high quality preventive care and treatment advances our mission: A BETTER WORLD FOR PETS. We’d love to have you join our team to help in this mission. We love pets. You know who else we love? CVTs. We enable CVTs to work at the top of their license and provide them resources and training to feel and work their best. A supportive work environment is important at Banfield, and we cultivate a culture and team based on collaboration, networking, and lifting one another up. Banfield’s here for you so you can be there for pets! Who we’re looking for We’re looking for a Credentialed Veterinary Technician to add their passion, skills, and education to our team. We believe in hiring individuals with diverse perspectives, ideas and cultures who use their expertise in a way that benefits pets, clients, teams, and communities. Whether you’re a recent graduate or an experienced Credentialed Technician looking for a change, a new beginning at Banfield means an open door to explore the next best move in your professional career. Role responsibilities • Provide furry, feathered, and scaled pets with the best possible care, especially preventive care, • Upon approval from supervising veterinarian, perform veterinary technician appointments. All appointments must be under the direction and supervision of veterinarian and in compliance with state law., • Build close relationships with pets and the humans who love them, • Work closely with teammates and cultivate a positive, dynamic work culture, • Impact the future of veterinary medicine with your own expertise and ways of practicing medicine, • Exemplify the Mars Five Principles — Quality, Responsibility, Mutuality, Efficiency, and Freedom What we offer Here at Banfield, we prioritize your well-being and professional growth by offering a comprehensive total rewards package, including health, wellness, and financial support for you, your family, and even your pets. We value work-life balance too! Check out some of our “Meow-velous” benefits: The good stuff: • Comprehensive Medical, Dental, and Vision Insurance: Enjoy peace of mind knowing your health and wellness are our top priorities. We've got your essential medical, dental, and vision care covered., • Generous Retirement Plans (401(k) and Roth): Invest in your future and enjoy a generous company match to help you build a secure financial future.*, • Best-in-Class Student Debt Relief Program (for Full-Time DVMs): At Banfield, we understand the significant financial burden of student debt on veterinarians. We are committed to supporting our veterinary professionals and believe that addressing student debt is crucial for the long-term health of the veterinary profession., • Paid Time Off and Holidays: Take a break, recharge your wellbeing, and celebrate days of personal significance with paid time off and holidays.*, • Top-Tier Mental Health and Wellbeing Resources: Your mental health matters. Access our industry-leading resources, including free coaching and counseling sessions, to support your overall wellbeing and help you thrive.*, • Associate Life Insurance (company-paid) & Supplemental Life Insurance: Protect your loved ones with our company-paid Associate life insurance and have the option to purchase additional coverage for extra peace of mind., • Company-Paid Short- and Long-Term Disability: Feel secure knowing that if you face a temporary or long-term disability, you’ll have financial protection., • Flexible Spending Accounts (FSA): Save on healthcare and dependent care expenses by setting aside pre-tax money. It's a smart way to manage your budget and take care of your needs., • Health Savings Account (HSA): Make the most of your healthcare dollars with a tax-advantaged HSA, allowing you to pay for medical expenses with pre-tax funds., • Paid Parental Leave: We support growing families with paid parental leave for both birth and adoption, giving you precious time to bond with your new family addition., • Continuing Education Allowance (for Eligible Positions): Banfield is committed to supporting the professional growth of our Associates. This allowance provides financial assistance to pursue continuing education opportunities.*, • Back-Up Child and Elder Care & Family Support Resources: When life's unpredictable moments arise, our backup care and family support benefits provide the help you need to keep things running smoothly.*, • Fertility and Family Building Support: We're here for you on your journey to parenthood, offering comprehensive support for fertility treatments and family-building options., • Digital Exercise Therapy: Stay active and healthy with our digital exercise therapy program, designed to fit your busy lifestyle, and keep you moving., • Voluntary Protection Benefits: Get peace of mind with protection against the unexpected. You can purchase coverage to help support you financially during hospital stays, critical illness, and accidents.*, • Legal Plan: Gain extra peace of mind with our affordable and accessible legal plan which includes coverage for a wide range of legal needs.*, • Identity Protection: Identity Protection helps safeguard your personal information by alerting you to suspicious activity and providing support if your information is stolen.*, • Commuter Benefits: Say goodbye to commuting stress with our commuter benefits, making your daily journey more convenient and cost-effective.*, • Three Free Optimum Wellness Plans for Pets: We care about your furry friends too! Enjoy three free wellness plans to ensure your pets receive the best preventive and general care.* Even more good stuff: • Flexible scheduling, • Ability to practice at the top of your license, • Locations all over the US to choose from, • Opportunities for growth and leadership roles at Banfield, Mars, and other divisions of Mars, • Dedicated onboarding and development support so you can grow your career (or become a coach yourself!), • National partner conferences for networking and continuing education, • Discount on Fear Free Certification, • Practice-paid subscription to NAVTA, VetGirl, and Vetfolio, • Associate-led equity, inclusion, and diversity groups (we have 7 of them!), • Awesome opportunities to volunteer through Mars Volunteer Program, like volunteering at coral reef cleanups or on research vessels! Full job description #registeredveterinarytechnician #RVT #licensedveterinarytechnician #LVT #veterinarytechnicianspecialists #VTS #certifiedveterinarytechnician #CVT WE ARE A DRUG-FREE, SMOKE-FREE, EQUAL OPPORTUNITY EMPLOYER. Banfield Pet Hospital® strongly supports and values the uniqueness of all individuals and promotes a work environment where diversity is embraced. Banfield Pet Hospital is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity and expression, age, genetic information, status as a protected veteran, or status as a qualified individual with disability. Banfield Pet Hospital complies with all applicable federal, state and local laws governing nondiscrimination in employment in every Banfield location. We believe that embracing inclusion and diversity enables us to live our Purpose: A BETTER WORLD FOR PETS. #LI-AV1

Application Deadline: 04/10/2026 Address: 151 W 42nd Street Job Family Group: Business Management BMO Capital Markets is a leading, full-service financial services provider. We offer corporate and investment banking, treasury management, as well as research and advisory services to clients around the world. #bmocapitalmarkets Role Summary The Director, Policy Document Liaison & Governance Enablement is responsible for ensuring enterprise policy documents within assigned portfolios are strategically aligned, lifecycle‑compliant, audit‑ready, and executed with discipline at scale. This role is accountable for coordination, quality, traceability, and governance compliance, but does not own policy content, make approval decisions, or grant exceptions. Acting as the primary interface between the Enterprise Policy Office (EPO), business leadership and remediation programs, the Director provides governance enablement, oversight, and execution leadership across both business‑as‑usual policy lifecycle activities and large‑scale policy remediation initiatives. The role ensures consistency, quality, and timely progression across complex, multi‑jurisdictional document portfolios, while enabling Owners and Sponsors to meet enterprise governance expectations. Key Responsibilities 1. Enterprise Governance Leadership & Strategic Enablement • Serve as the senior liaison between EPO and assigned business/functions, representing policy governance requirements to stakeholders., • Provide authoritative guidance on Enterprise Policy Management Policy, Standards, Procedures, and remediation expectations, ensuring consistent interpretation and application., • Anticipate governance risks, lifecycle bottlenecks, and systemic issues across policy portfolios and proactively drive resolution. 2. Portfolio‑Level Oversight of Policy Documents • Maintain oversight of end‑to‑end policy document portfolios, ensuring completeness, ownership clarity, and accurate lifecycle status across all in‑scope documents., • Ensure documents are correctly classified, hierarchically aligned, and positioned within the Enterprise Policy Document Hierarchy., • Oversee accuracy and integrity of metadata, rationale, version history, and parent‑child linkages within the Enterprise Policy Repository (EPR). 3. Policy Remediation Program Leadership • Lead execution of policy remediation strategies across assigned portfolios, aligned to 2LOD risk architecture and enterprise remediation direction., • Drive remediation decisions (uplift, re‑template, reclassify, consolidate, retire) in partnership with Document Owners and senior stakeholders., • Ensure remediation outcomes are risk‑aligned, defensible, fully documented, and audit‑ready. 4. Senior Stakeholder & Cross‑Functional Leadership • Lead and influence senior stakeholder engagement across 1LOD, 2LOD, Legal, Compliance, Technology, and Operations., • Resolve cross‑functional conflicts and competing priorities related to document scope, sequencing, remediation approach, or governance routing., • Escalate material risks, misalignments, or lifecycle failures to EPO or senior governance forums with clear recommendations. 5. Quality Assurance, Risk Management & Audit Readiness • Provide quality oversight to ensure documents meet enterprise standards for clarity, enforceability, and structural integrity before approval or publication., • Ensure stakeholder feedback, rationale, and decisions are fully traceable and defensible for regulatory, audit, and governance review., • Identify systemic quality issues and drive continuous improvement in policy documentation practices. 6. Approval Pathway & Governance Execution Oversight • Determine and validate appropriate approval pathways in alignment with enterprise standards and document materiality., • Oversee preparation and routing of approval packages, ensuring readiness, completeness, and alignment with governance expectations., • Ensure approval evidence is retained, properly recorded, and audit‑ready. 7. Publication, Communication & Implementation Enablement • Provide oversight of publication, translation, and communication activities in partnership with EPO or through Liaison‑managed execution, as applicable., • Ensure communications accurately reflect approved content, effective dates, and implementation expectations for impacted stakeholders., • Monitor implementation readiness and escalate execution risks that could undermine compliance or effectiveness. 8. Maintenance, Monitoring & Executive Reporting • Oversee periodic review cycles, maintenance attestations, and retirement activities across the portfolio., • Provide executive‑level reporting on lifecycle health, remediation progress, risks, exceptions, and compliance metrics., • Leads policy governance execution across multiple documents, risk areas, or business units, • Influences senior leaders without owning policy content or approval authority, • Exercises judgment on prioritization, sequencing, and escalation, • Enterprise Policy Office (EPO), • Document Owners and Sponsors, • Risk, Compliance, Legal, and 2LOD partners, • Business and Operational Stakeholders, • 8+ years experience in policy governance, risk management, regulatory compliance, or enterprise control functions, • Demonstrated leadership in complex, enterprise‑wide change or remediation programs, • Strong executive communication and stakeholder‑management skills, • Deep understanding of governance frameworks, document hierarchies, and audit expectations, • Proven ability to translate standards into scalable, executable practices The salary range for this role is $195,000 up to $220,000 USD (subject to the candidate meeting the specific skills, experience, education, and qualification requirements) Salary: $112,200.00 - $209,000.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: ___ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at ___ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ___ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.