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Job DescriptionBenefits: • Employee discounts, • Flexible schedule Job Summary We are seeking a Bartender to join our team! In this role, you will be responsible for taking customer orders, making drink recommendations, keeping the bar area clean and inviting, and creating a variety of traditional and creative cocktails. The ideal candidate is energetic, customer-service oriented, and is passionate about mixology. Ability to build customer rapport and work as a team player is crucial to this position. Responsibilities • Take drink and food orders, • Confirm patrons are of legal drinking age and follow all state and federal laws for serving alcoholic beverages, • Serve bar patrons ordered food/drinks, • Execute all cocktails that are wrung in by waitstaff, • Collect payment and operate cash register, • Maintain and restock inventory of bar supplies and ingredients, • Perform duties associated with opening and closing the bar, including cleaning and moppingQualifications, • High school diploma/GED, • Previous experience in food service, hospitality, or bartending is preferred, • Mixology or hospitality certification is preferred but not required, • Knowledge of alcoholic beverages and bar menu items, • Legal age to serve alcoholic beverages, • Ability to work well in a fast-paced environment, • Excellent customer service and time management skills, • Ability to work well in a team environment, • Reliable Transportations, • Availability on Weekends

Target is seeking Guest Advocates / Guest Associates to assist customers, operate registers, and support front-end store operations. Guest Advocates are responsible for greeting customers, scanning items, processing payments, handling returns and exchanges, assisting customers with Target Circle and Target app services, monitoring self-checkout stations, and maintaining a clean and organized checkout area. Associates may also assist with order pickup, drive-up orders, and guest service desk responsibilities. This position typically pays $15 to $19 per hour, with opportunities for overtime pay, holiday pay, and shift differential pay for early morning, overnight, or weekend shifts depending on location and experience. Guest Advocates are responsible for providing customer service, operating registers, processing payments, assisting with returns, helping customers with self-checkout, assisting with online order pickups and drive-up orders, answering customer questions, and maintaining front-end organization and cleanliness. Employees must follow Target customer service procedures, cash handling procedures, and front-end operational guidelines. Full-time and part-time employees may be eligible for benefits including health, dental, and vision insurance, 401(k), paid time off, Target employee discount, tuition assistance programs, and opportunities for advancement into Team Lead or management roles. Some locations may also offer attendance incentives and holiday pay.

Lowe’s is seeking Cashiers / Customer Service Associates to assist customers with purchases, returns, and general front-end store operations. Associates are responsible for operating cash registers, processing cash and card payments, assisting customers with returns and exchanges, answering customer questions, assisting with self-checkout stations, and maintaining a clean and organized checkout and customer service area. Customer Service Associates may also assist customers with online order pickups, special orders, and product inquiries. This position typically pays $14 to $19 per hour, with opportunities for overtime pay, holiday pay, and performance-based raises depending on location and experience. Cashiers and Customer Service Associates are responsible for providing friendly customer service, processing transactions accurately, assisting with returns and exchanges, handling store credit and gift cards, helping customers with online order pickups, assisting with self-checkout machines, and maintaining organization and cleanliness at the front end of the store. Employees must follow Lowe’s customer service procedures, cash handling policies, and store operational guidelines. Full-time and part-time employees may be eligible for benefits including health, dental, and vision insurance, 401(k) with company match, paid time off, employee discount programs, tuition reimbursement, and opportunities for advancement into Head Cashier, Department Supervisor, or management roles. Some locations may also offer holiday pay and performance-based bonuses.

Burger King is seeking Shift Supervisors / Assistant Managers to oversee daily restaurant operations, supervise employees, and ensure customer service and food quality standards are met. Shift Supervisors and Assistant Managers are responsible for supervising crew members, assigning work positions, assisting with food preparation and customer service, handling customer complaints, managing cash drawers, and ensuring the restaurant operates efficiently during their shift. Assistant Managers may also assist with scheduling, inventory management, ordering supplies, training new employees, and opening and closing the restaurant. This position typically pays $15 to $22 per hour, with opportunities for overtime pay, performance bonuses, and advancement opportunities depending on experience and location. Shift Supervisors and Assistant Managers are responsible for leading the team during shifts, ensuring orders are prepared correctly and on time, monitoring food quality and cleanliness, handling cash management procedures, completing shift reports, assisting with inventory and ordering, training employees, and ensuring company policies and procedures are followed. Full-time employees may be eligible for benefits including health, dental, and vision insurance, paid time off, employee meal discounts, bonus programs, and opportunities for advancement into Restaurant General Manager roles. Some locations may also offer monthly performance bonuses, referral bonuses, and management incentive programs.

Job Description Overview At Community Financial System, Inc. (CFSI), we are dedicated to providing our customers with friendly, personalized, high-quality financial services and products. Our retail division, Community Bank, N.A., operates more than 200 customer facilities across Upstate New York, Northeastern Pennsylvania, Vermont and Western Massachusetts. Beyond retail banking, we also offer commercial banking, wealth management, investment management, insurance and risk management, and benefit plan administration. Just as our employees are committed to helping our customers manage their finances, we’re committed to our employees. After all, they make it happen for our customers every day. To ensure our people can enjoy long and successful careers here at CFSI, we offer competitive compensation, great benefits, and professional development and advancement opportunities. As an equal-opportunity workplace and affirmative-action employer, we celebrate and support a diverse workplace for the benefit of all: our employees, customers and communities. Responsibilities The Relationship Banking Representative serves as a frontline ambassador of the bank and plays a critical role in delivering a consistent, customer-centric, end-to-end banking experience. This position flexes across teller and desk responsibilities, combining accurate transaction execution with consultative conversations that build trust and deepen relationships. The Relationship Banking Representative actively listens to understand customer needs, educates customers on products, services, and digital tools, and provides thoughtful guidance or referrals that support customers’ financial well-being, while adhering to all bank policies, procedures, and security standards. Essential Responsibilities: Customer Experience & Relationship Management: • Deliver a welcoming, professional, and personalized customer experience during every interaction. Serve as a primary point of contact in the lobby, engaging customers proactively and guiding their in-branch journey., • Build trust by actively listening, asking thoughtful questions, and understanding customers’ financial needs and goals., • Process everyday banking transactions and routine inquiries accurately while maintaining a consultative, customer-first mindset. Open new accounts, close accounts, initiate wire transfers, and support service requests while educating customers on features, benefits, and tools., • Assist customers with issues such as balance discrepancies, debit card fraud, and other service needs. Advocate for customers by coordinating with internal partners and operational teams to ensure timely, accurate resolution., • Educate and guide customers on digital banking tools, self-service options, and best practices to enhance convenience and engagement., • Manage customer flow and wait times by scheduling, coordinating, or facilitating appointments with appropriate team members. Sales, Advice & Business Development: • Identify customer needs through conversation and observation, recommending appropriate banking solutions without pressure-based selling., • Generate and manage customer follow-ups, outreach calls, and appointment setting to strengthen relationships., • Participate in branch prospecting efforts, campaigns, and community engagement activities., • Collaborate with branch partners to refer customers to specialists for more complex financial needs., • Contribute to branch goals by consistently modeling needs-based conversations and relationship-building behaviors. Employee & Team Contributions • Act as a brand ambassador by modeling quality service in every customer interaction. Collaborate effectively with team members to support branch operations and customer experience goals., • Contribute to a positive, inclusive, and respectful work environment., • Take ownership of personal performance, development, and continuous improvement. Adapt positively to change and actively support new tools, processes, and initiatives., • Actively participate in branch meetings, training programs, and professional development opportunities, including travel to training locations as required, to enhance knowledge and skills., • May assist with training or mentoring new team members, as needed. Operational Excellence, Risk & Compliance: • Accurately perform teller and platform transactions and balance cash drawers within established policies and procedures., • Apply customer authentication, due diligence, and regulatory requirements to all transactions and account activities., • Maintain the confidentiality and security of customer and bank information at all times., • Follow dual control, open/close procedures, and security protocols consistently., • Participate in audits, internal reviews, and regulatory requests, as required., • Maintain proficient knowledge of, and demonstrate ongoing compliance with all laws and regulations applicable to this position, ensure ongoing adherence to pertinent policies, procedures and internal controls, and meet all training requirements in a timely manner. Other Duties: • Provide support to other branches as needed to ensure proper staffing and service levels., • Perform other related duties as assigned or directed to support branch and bank objectives. Ancillary Duties: As an integral member of Retail Banking, this position is responsible to provide assistance wherever necessary to help the Branches and the Bank in achieving their annual goals. This may include supporting transactions, customer inquires, or traveling to other branches in the area to provide support as needed and to ensure proper staffing and service levels Qualifications Education, Training and Requirements: • High School Diploma or GED required, • Internal product knowledge, teller, and platform training preferred, • Ability to attend a 5–7-day initial training program, which may involve overnight travel depending on distance; the company covers or reimburses applicable travel expenses, such as mileage and lodging, • Reliable transportationSkills:, • Excellent interpersonal, listening, and communication skills with the ability to engage customers in meaningful financial conversations, • Strong attention to detail with accurate and proficient math skills, • Clear thinking and sound judgement in a fast-paced, customer-focused environment, • Strong documentation and organizational skills with the ability to manage multiple priorities, • Proficiency in digital tools and Microsoft Office; comfort navigating banking systems and digital banking platforms, • Ability to build trust, demonstrate empathy, and remain professional during complex or sensitive customer interactions, • Must be able to consistently demonstrate the Company's core values: Integrity, Humility, Teamwork, and ExcellenceExperience:, • Two (2) years of customer service and/or banking normally required, • Demonstrated ability to work directly with customers in a service, advisory, or problem-solving capacity, • All applicants must be 18 years of age or olderOther:, • Ability to work flexible hours based on branch needs, • Travel to nearby branches may be required to support staffing and business needs, • Ability and willingness to travel to training sessions, meetings, professional development programs, and other company-sponsored events, as needed.

Job DescriptionAt Bethesda House, our goal is to end the cycle of poverty and homelessness - not just manage the symptoms. Our teams work to address each individual on a holistic level so they feel heard, respected, and safe in our care. We offer hands-on help to address chronic homelessness, mental health, substance abuse, disability, and systematic poverty by offering innovative solutions and proactive services to the most vulnerable in Schenectady County. The Finance Director is a strategic thought partner to the Executive Director and is responsible for the overall financial health, stability, and long-term sustainability of Bethesda House. This role leads all finance and accounting functions for the agency, ensuring strong fiscal management, compliance, and internal controls. The Finance Director oversees cash flow management to ensure all financial obligations are met in a timely manner and is responsible for developing and monitoring the annual budget and long-term financial plans. In collaboration with the Executive Director, the Finance Director analyzes funding source contracts, develops program budgets, and supports strategic financial decision-making. This position ensures that sound internal financial controls are established, documented, and consistently followed. The Finance Director supervises the Accounting Supervisor and oversees custodial accounts and payroll bookkeeping functions. The Finance Director analyzes monthly and year-end financial statements prepared by the Accounting Supervisor and presents financial reports to the Board of Directors’ Finance Committee. Through strong leadership and financial stewardship, this role ensures the agency’s financial integrity and long-term financial security. Salary Range: $85,000 - 90,000 FT, Non-exempt Benefits: Medical, Dental, Paid Time Off, Retirement Specific Responsibilities: • Serve as a strategic financial thought partner to the Executive Director, providing fiscal leadership aligned with the agency’s mission and public funding requirements., • Lead and oversee all finance and accounting functions in compliance with nonprofit, local, state, and federal regulations., • Manage agency cash flow to ensure timely payment of all operational, contractual, and grant-related obligations., • Develop, monitor, and update the annual operating budget and multi-year financial plans in accordance with government contracts and funding guidelines., • Agency annual budget due to the BOD Finance Committee by May 1, • Analyze local, state, and federal funding source contracts and collaborate with the Executive Director to develop compliant program budgets., • Ensure financial practices comply with Generally Accepted Accounting Principles (GAAP), Uniform Guidance (2 CFR Part 200), and applicable state and local regulations., • Establish, document, and monitor strong internal financial controls to safeguard public funds and ensure accountability., • Supervise the Accounting Supervisor and oversee custodial accounts and payroll bookkeeping functions to ensure regulatory compliance., • Review, analyze, and approve monthly and year-end financial statements prepared by the Accounting Supervisor., • Prepare, present, and interpret financial reports for the Board of Directors Finance Committee, including analysis of budget-to-actual performance., • Monitor grant and contract expenditures to ensure allowability, allocability, and proper documentation of costs., • Ensure timely and accurate financial reporting to government funders, including required fiscal reports and cost reports., • Coordinate and support annual audits, single audits (if applicable), and reviews by government agencies., • Coordinate staff responsible for accounting work, payroll, and human resources requests, • Point person, interfacing with independent auditor, • Serve as the primary financial liaison for external auditors, funders, and regulatory agencies., • Support organizational financial sustainability through long-term planning, risk management, and sound fiscal stewardship., • Ensure timely process of monthly, quarterly, and annual reports: includes but not limited to Schenectady County, Schenectady County OMH, NYS OTDA Supportive Housing Initiative (NYSSHP), NYS OTDA STEHP, NYS PTDA Empire State Supportive Housing Initiative (ESSHI), City of Schenectady, and US HUD., • Is responsible for the completion of the NYS OTDA HHAP annual reports, • Ensure internal audit of operations, program files, program activities, are completed and that all programs are adhering to Agency policies and procedures, HMIS data quality, etc., • Other duties as assignedQualifications:, • Bachelor’s degree in Business Administration, Accounting, Finance, Mathematics, or a related field, with two to three years of nonprofit financial management experience., • Proficiency in Microsoft Office applications, including Word and Excel., • Experience with QuickBooks or comparable accounting software., • Strong written and verbal communication skills., • Demonstrated ability to manage professional responsibilities effectively in a fast-paced work environment., • Commitment to understanding, supporting, and advancing the mission, values, philosophy, and policies of Bethesda House of Schenectady, Inc., • Ability to work effectively and respectfully with individuals from diverse cultural, socioeconomic and lived-experienced backgrounds., • Strong organizational and time-management skills with the ability to manage multiple priorities and deadlines., • Valid New York State driver’s license and access to reliable transportation, as required for job-related duties.This description does not contain a comprehensive list of duties, responsibilities or activities that are required of the employee. Additional duties and responsibilities may be assigned as needed and at any time with or without notice. All offers of employment are contingent upon successfully completion of background checks including DMV record search if driving is required for the position. Bethesda House is an Equal Opportunity Employer. In all employment and hiring decisions, the Agency complies with applicable anti-discrimination laws. This policy applies to all employment practices, including hiring, advertising, recruitment, promotion, demotion/transfer, layoff/termination of employment, rates of pay or other forms of compensation, and selection for training and development. Powered by JazzHR JIrRHQ2JVO

Job Description We are currently seeking an energetic and kind Resident Care Coordinator/LPN to join our dedicated team in Clifton Park, NY! You may be the right candidate if you possess the following qualities: a strong attention to detail, strive to be compliant in all aspects of care, a love for organization, and enjoy being a positive team player. Schedule: Full-Time Salary: $62,355- $64,500 – based on experience Benefits: Generous PTO Paid Holidays and Floating Holidays Aetna Health Insurance, including medical, dental, and vision Child Care Reimbursement Compassionate PTO Donation Program Flexible Scheduling Employee Assistance Program PTO Cash Out Program Retirement Plan – 401(k) with company match Resident Care Coordinator Responsibilities include: Oversee medication management program, including chart and medication audits to ensure quality assurance and regulatory compliance Collaborate with physicians to maintain accurate and up-to-date medication orders Support training and orientation for all care staff to ensure proper procedures and best practices in the care department Ensure adherence to company policies and procedures (P&P) in all aspects of care with a focus on documentation Supervise, develop, and schedule all resident care department staff providing day-to-day care of the residents according to PSL policies, procedures, and standards Serve as a team member in recruiting, screening, and interviewing of all resident care department staff while filling in for staff during unexpected shortages Administer medications as allowed per state-specific and PSL guidelines when required. Resident Care Coordinator Education & Experience: Licensed Practical Nurse (LPN), welcomed but not required Bachelor’s Degree with major course work in human services and one year of full-time work experience in a related field or Associates degree with major course work in human services and three years of full-time work experience in a related field or High school diploma or equivalency plus 5 years related experience required. Experience and knowledge in all aspects of senior living, preferred Company Overview: Peregrine Senior Living is known for their innovative leadership in revolutionizing care for the elderly. Joining Peregrine means working for a leader in memory care-based programs, one that has set current standards and will likely define them in the future. Come join our team and help us revolutionize exceptional care for the senior population. Peregrine Senior Living at Clifton Park located in Clifton Park, NY is a leading provider of senior memory care and is committed to providing its residents with exceptional care and supervision. Employee Appreciation: Peregrine Proud: Public acknowledgement of exceptional employee performance Monthly All Staff Gift Card Drawings Periodic All Staff Appreciation Community Events Annual Longevity Rewards: Anniversary Bonus & Celebration Peregrine Senior Living is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, nation origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applied to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Peregrine Senior Living makes hiring decisions based solely on qualifications, merit, and current business needs.

Job Description Staff Accountant I (Fund Accounting) Staff Accountant, Staff Fund Accountant Hybrid Remote • Locations: Philadelphia, PA | Columbus, Ohio | Clifton Park, NY, • Entry-Level Friendly | Recent Grads Encouraged to Apply Are you a recent graduate with a strong interest in finance or accounting? This is an excellent opportunity to launch your career with a growing financial services team supporting investment funds and institutional clients. WHAT YOU’LL DO: • Maintain daily cash transactions and general ledger for client funds, • Prepare quarterly financial statements and supporting schedules, • Respond to client and investor inquiries professionally and accurately, • Collaborate with internal teams and management, • Manage multiple priorities in a deadline-driven environment WHO WE’RE LOOKING FOR: • Bachelor’s degree (required): Accounting, Finance, Business Administration, or related field | Must have completed at least 2 accounting courses, • 0+ years of experience (new grads welcome), • Strong attention to detail and organizational skills, • Comfortable working in Microsoft Office (Excel, Outlook, etc.), • Professional written and verbal communication skills, • Ability to multitask in a fast-paced environment BENEFITS: • Medical, • Dental, • Vision, • 401k SALARY: $63K a year We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities. req25-00927

Job Description About Alliance Risk Group Alliance Risk Group, Inc. is a national leader in investigative, legal support, and risk management solutions. We help law firms, insurance carriers, and corporate clients make informed decisions through surveillance, investigations, claims support, litigation services, and background screening solutions. Through SmartHRCheqs, our innovative screening division, we combine technology and service excellence to help employers hire with confidence. Join a growing team dedicated to delivering trusted intelligence, exceptional client experiences, and real-world results. About the Role We are seeking a hands on, forward-thinking Finance & Accounting Manager to take the lead in evolving and scaling the financial foundation of a company positioned for meaningful growth. This is a high-impact opportunity for someone who wants to build, improve, and scale financial operations alongside leadership as the organization grows. The right candidate will own the details, act as a strategic partner to leadership, and have the chance to expand both their role and career as they help shape the company's next stage. This role is ideal for someone excited by growth, eager to make a visible impact, and motivated to grow with the organization over time. Key Responsibilities Accounting & Finance • Manage/own core accounting operations (AR, AP, corporate card, cash management etc.) with a focus on efficiency and control., • Lead month-end and year-end close processes., • Own monthly reconciliations for bank accounts, credit cards, loans, and balance sheet accounts., • Deliver timely, reliable financial statements and insights to leadership. Support management in budgeting, forecasting, and financial planning., • Support insurance, lease, and financing administration and liaise with outside partners., • Identify and implement process improvements/automation., • Establish and maintain strong financial controls, policies, and compliance with GAAP. Business Partnership & Communication • Partner with executive management and business unit leaders on financial matters., • Communicate financial trends, risks, deadlines, and opportunities proactively., • Explain results clearly and flag issues early with practical solutions., • Advise leadership in assessing the financial impact of key strategic decisions., • Improve reporting, processes, and workflows to ensure accurate and timely financial visibility. Payroll, Benefits & 401(k) • Own end-to-end payroll operations and related accounting, ensuring accurate processing, compliant tax reporting, and proper handling of all deductions., • Coordinate benefits administration, renewals, open enrollment, and employee communications., • Manage 401(k) administration, including contributions, compliance support, and provider coordination., • Maintain accurate payroll and benefits records., • Manage relationships with brokers, payroll vendors, retirement plan administrators, and other providers as needed. Tax & Compliance • Ensure timely filing and payment of payroll, sales/use, business, and other required taxes., • Coordinate with outside CPAs or tax advisors on tax preparation, planning, and reporting., • Prepare and submit required state, local, and federal filings, including 1099s., • Maintain compliance and support audits, workers' compensation reporting, insurance audits, and related reviews. Qualifications • 5+ years of progressive experience across accounting, financial operations, or small business environments with increasing responsibility., • Experience in a small or growing business environment preferred., • Strong understanding of accounting principles, financial reporting, and internal controls., • Experience overseeing payroll, benefits administration, retirement plans, and related tax filings and compliance deadlines., • Proficiency in Excel and experience working with accounting, payroll, and reporting systems., • Experience coordinating with external partners, including CPAs, payroll providers, benefits brokers, and retirement plan administrators., • Highly self-directed with a strong sense of ownership and the ability to manage priorities, meet deadlines, and drive results independently., • Strong analytical thinking, attention to detail, and ability to communicate effectively across all levels of the organization., • Demonstrates the highest level of professionalism, integrity, and discretion when handling sensitive financial and employee information. Preferred Qualifications • Bachelor's degree in Accounting, Finance, Business, or a related field., • CPA, CMA, MBA or similar certification preferred., • Experience with QuickBooks Online., • Experience in professional, investigative, legal, insurance, consulting, or other service-based businesses.

Job Description Pest Control Service Technician Regular Full-Time & Seasonal Full-Time Flexible Scheduling – 4 Day Work Week! $45,000 - $65,000 annually At Thomas Pest Services, we take pride in being one of the fastest-growing, family-owned, and operated pest management companies in the Capital and Upper Hudson Valley Regions. Our success is driven by individuals who embody our core values. We believe the key to our business thriving is ensuring our team members’ personal growth and success. We foster a culture of passionate and empathetic leadership, relationship-building, and providing clear career paths for growth and internal promotions. When you join Thomas Pest Services, you receive everything you need to be successful, competent, and confident. Who We Need Our business and team are growing. We are hiring regular full-time and seasonal full-time Pest Control Technicians who can learn quickly, digest technical information, and thrive working independently while receiving support from their supervisor and colleagues. Each year, after the seasonal work is completed (April through October) many of our seasonal full-time employees are asked to stay on as regular full-time employees. Our seasonal full-time employees have the same benefits as regular full-time employees. Pest Control Service Technicians deliver on our core focus of relationship-based pest management. By partnering with our residential and commercial customers, technicians will use their inspection skills to solve, treat, and prevent pest problems. Effective communication and strong technology skills are essential for interacting with customers and colleagues. What You Get! Compensation for Pest Control Service Technician: • $22 - $27 per hour depending on experience level, • Tech lead commission Benefits for Pest Control Service Technician: • Simple IRA (3% match after one year of employment), • $400.00 towards health insurance, including dental and vision., • $250.00 towards self-improvement Perks for Pest Control Service Technician: • Option of a 4 or 5 day work week, • Company vehicle and gas card, • Smart Phone, • Company Paid Uniforms, • Customer Review Cash Time Off: • Paid time off starts accruing on day 1 of employment, • Paid Holidays Job Duties: • Service customers demonstrating relationship based pest management to resolve and prevent customer pest concerns and issues., • Operate company vehicles safely and maintain equipment and tools in good working condition., • Maintain accurate records of services performed, chemicals used, and observations made during inspections on a company issued mobile device., • Mix, apply and treat with pesticides in compliance with state regulations and company policies., • Arrive promptly at your first scheduled stop and complete all services within the time allotted., • Inspect customer properties to identify pest activity and develop appropriate treatment plans., • Identify potential pest entry points and advise customers on exclusion methods. Training: • No pest management experience needed, • Pathways to Growth – our development plan for technician growth, • Comprehensive in-field and classroom training programs designed to get you certified, knowledgeable, confident and prepared to hit the ground running, • We pay for certification exams and annual renewals, • On-going training to keep you sharp and ahead of the game on industry trends and changes Requirements to become a Pest Control Service Technician • 18 years or older, • High school diploma or equivalent, • Ability to work full-time with the potential for overtime during May - SeptemberLocation & Schedule This position reports out of our Albany headquarters. Each day, technicians travel to customer locations throughout the Capital Region and Upper Hudson Valley based on their assigned route. Physical Demands of Pest Control Technicians While performing job responsibilities, technicians will frequently engage in activities such as lifting, walking, and crawling. Individuals should be capable of reaching with hands and arms, climbing on ladders, kneeling, and crawling. Applicants must possess the ability to lift and/or move up to 50 pounds and be comfortable getting on roofs as required. Technicians should anticipate working in various climates. We provide proper Personal Protective Equipment (PPE) and thorough training to ensure a safe working environment. Thomas Pest Services is an EOE and drug-free workplace. Powered by JazzHR YkQWKqjb7F

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Bonus based on performance, • Competitive salary, • Dental insurance, • Health insurance, • Opportunity for advancement, • Paid time off, • Training & development, • Vision insurance, • Free uniforms At Goldfish Swim School , work feels like play as you build relationships with your team and meet children and families from all different backgrounds. Every time you step foot in your school, you can create magic moments and enrich lives. We are passionate about bringing people together and making a splash in the lives of the children in your community. So, join us and be a part of a fun, fast-paced, high-impact group of talented people who are making waves and teaching life lessons in and out of the pool through mentorship, leadership and passion. Benefits: ● Management responsibility ● Leadership role ● Set shifts with no late nights ● Great pay ● Valuable work experience ● Future references/referrals ● Paid training and lifeguard certification Requirements: Ability to work with children Teach 1 lesson per week in the pool Excellent interpersonal communication and organizational skills Summary: Oversees the quality and success of Goldfish Swim School daily operations including staffing, pool operations, customer service, retail and vending department, private party operations, workplace employee activities amongst other duties. Duties and Responsibilities: • Directs and controls the daily operations to ensure the school is running per GSS standard operating procedures., • Manages the staff of the GSS location(s) to ensure high productivity, excellent performance and positive employee satisfaction., • Trains and oversees all staff to provide superior swim instruction to the students of GSS and the highest level of customer service. Interacts with the staff on all issues related to class scheduling, student progress, customer service and employee performance and training., • Provides sales and marketing training to all qualified sales staff., • Provides direction in the retail and vending departments to ensure a proper mix of products and pricing is achieved., • Trains and oversees private party staff to ensure that the GSS standard operating procedures are being maintained., • Gains knowledge and experience in all technology to achieve a high level of competence in customer maintenance, bookings, class scheduling, reporting and administrative functions., • Gains a high level of knowledge and experience in the GSS pool operations necessary to maintain a safe and sanitary swim environment., • Manages financial responsibilities including weekly cash deposits, cash reconciliation, tilling off process, financial documentation, and budgeting., • Initiates and oversees workplace culture and employee interaction. Maintain a high level of employee satisfaction., • Directs and oversees the implementation of the Emergency Action Plan (EAP) and all safety procedures that pertain to the GSS facility. Trains all current staff on the GSS EAP., • Gains knowledge and experience in the GSS pool operations necessary to maintain a safe and sanitary swim environment including proper pool chemistry and pump room operation., • Maintains current required certifications for self and all staff., • Schedules staff and manages payroll., • Expert in all roles and responsibilities in the swim school, • Work 1 shift per week in a lifeguard/swim instructor capacity, • Fulfills other duties and responsibilities as assigned by the Employer. Education/Experience: High school diploma or GED required. Bachelor’s degree in business administration, communications or equivalent is desired. Experience as youth sports instructor/coach, camp counselor or aquatics instructor/supervisor is preferred. Three to five years management experience is preferred. Certificates and Licenses: Lifeguard, CPR, First Aid, AED and Certified Pool Operator certifications required or be able to obtain these certifications within 90 days of start date. Lifeguard Instructor certification preferred. Work Environment: While performing this job, the employee is regularly exposed to heat and humidity. Noise level is usually moderate.

Job Description • We are hiring immediately for full time CASHIER/FOOD SERVICE WORKER positions., • Location: Union College - 807 Union Street, Schenectady, NY 12308. Note: online applications accepted only., • Schedule: Full time; Days may vary, 3:30 PM to 11:30 PM. More details upon interview., • Requirement: No previous experience is required., • Pay Range: $19.50 per hour to $20.00 per hour. *Internal Employee Referral Bonus Available We Make Applying Easy! Want to apply to this job via text messaging? Text JOB to 75000 and search requisition ID number 1558603. The advertised program is a conversational recruiting assistant that helps you apply to jobs with Compass Group. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: http://olivia.paradox.ai/moSkg Diversity of thought and inclusion for all is what drives our success - we invite you to start your journey with us today! Are you looking for a job with competitive wages and benefits, one in which you can learn and grow while making a difference in the world? We’re hiring! Bon Appétit Management Company operates more than 1,000 cafés around the country for corporations, universities, and museums, as well as a few dozen public restaurants. We’ve led the industry in socially and environmentally responsible sourcing, from sustainable seafood to cage-free eggs. We cook everything from scratch using fresh, local ingredients. Learn more about careers with Bon Appétit: http://www.bamco.com/careers/ Job Summary Summary: Operates Point of Sale system, assists the Chef, prepares coffee, and keeps the coffee and cashier stations clean. Essential Duties and Responsibilities: • Helps prepare foods such as meats, vegetables, baked goods and desserts. Also helps prepare catering orders., • Performs cashier duties using the POS system., • Perform general cleaning duties; removes trash and garbage to designated areas., • Provides service in all retail areas, including cashiering and line serving., • Cashiers according to established procedures, maintaining cash accuracy with receipts. Makes deposits at the end of each shift., • Inventories and restocks supplies and food products., • Sets up serving line, ensuring temperatures are taken, recorded and within acceptable ranges; notifies cooks if food temperatures are not within acceptable limits., • Serves hot and cold items to customers., • Sets up items for purchase on daily basis., • Keeps refrigerator stocked and product rotated using the first in, first out rule., • Stocks pantries with correct par levels of food items on a daily basis. Records replenished amounts on floor stock form for each unit. Records refrigerator temperatures on floor stock form daily., • Performs other duties as assigned. Associates at Bon Appétit are offered many fantastic benefits. Full-time and part-time positions offer the following benefits to associates: Retirement Plan, Associate Shopping Program, Health and Wellness Programs, Discount Marketplace, Identity Theft Protection, Pet Insurance, Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Legal Services, and Choice Auto and Home Program Full-time positions also offer the following benefits to associates: Medical, Dental, Vision, Life Insurance/AD, Disability Insurance, Commuter Benefits, Employee Assistance Program, Flexible Spending Accounts (FSAs) Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. https://www.compass-usa.com/wp-content/uploads/2023/08/2023WageTransparencyBAMCO.pdf About Compass Group: Achieving leadership in the foodservice industry Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ Applications are accepted on an ongoing basis. Bon Appetit maintains a drug-free workplace. [[filter4]] We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act.

Job DescriptionJob Description CUSTOMER SERVICE REPRESENTATIVE We are very actively recruiting individuals seeking jobs during this time! We are seeing an increase in business and the need for more individuals to be a part of our team. Come join our team and be a beacon of comfort for your community!! DOMINO'S PIZZA - ABOUT THE JOB You got game? You got spring in your step? You want the best job in the world! And schedules that work with you, not against you? That's right, we live to beat the rush and make it possible to make, bake or take pizzas during the hungry hours of the day and night, part or full time. You'll have plenty of time left over for school, hanging with your friends, or whatever. Sound good? Even if you just need a second job for some extra cash, Domino's Pizza is the perfect place for you. We are searching for qualified customer service reps with personality and people skills. We're growing so fast it's hard to keep up, and that means Domino's has lots of ways for you to grow (if that's what you want), perhaps to management, perhaps beyond. Whether it's your hobby, main-gig, or supplemental job, drop us a line. We're bound to have just the thing for you. ADVANCEMENT Did you know that 90% of all Domino's Pizza franchisees started working in a store? We are committed to promoting from within. Many of our team members began their careers as Customer Service Reps and today are successful business owners. From CSR to Management, General Manager to Supervisor, Supervisor to Director of Operations or Franchise Owners, our stores offer a world of opportunity! DIVERSITY Our mission is to recognize, appreciate, value and utilize the unique talents and contributions of all individuals. To create an environment where all team members, because of their differences, can reach their highest potential. SUMMARY STATEMENT We take pride in our team members and our team members take pride in Domino's Pizza! Being the best pizza delivery company in the world requires exceptional team members working together. At Domino's Pizza, our people come first! JOB REQUIREMENTS AND DUTIES · Operate All Equipment · Prepare Product to Standard Specifications · Clean Equipment and Facility Daily · Work to a Schedule · Perfect Image and adherence to standards · Great Customer Service · Attendance & punctuality, Transportation to/from work · Store cleanliness · Ability to comprehend and give correct written instructions · Ability to communicate verbally with customers and co-workers to process orders both over the phone and in person · Ability to add, subtract, multiply, and divide accurately and quickly (may use calculator) · Ability to enter information into digital systems using a computer keyboard or touch screen BENEFITS · Systematic Training and Potential Management Development · Flexible Schedule · Meal Discounts · Group Health Insurance (eligibility requirements) WORK CONDITIONS Exposure to · Varying and sometimes adverse weather conditions when removing trash and performing other outside tasks · In-store temperatures range from 36 degrees in cooler to 90 degrees and above in some work areas · Sudden changes in temperature in work area and while outside · Fumes from food odors · Exposure to cornmeal dust · Cramped quarters including walk-in cooler · Hot surfaces/tools from oven up to 500 degrees or higher · Sharp edges and moving mechanical parts TEMPERAMENTS The ability to direct activities, perform repetitive tasks, work alone and with others, work under stress, meet strict quality control standards, deal with people, analyze and compile data, make judgments and decisions. PHYSICAL REQUIREMENTS including, but not limited to the following: · Talking and hearing on telephone · Near and mid-range vision for most in-store tasks · Depth perception · Ability to differentiate between hot and cold surfaces · Standing: Most tasks are performed from a standing position · Walking short distances for short durations · Lifting Bulk product deliveries are made twice a week or more and are unloaded by the team members Deliveries may include cases of ingredients and supplies weighing up to 50 pounds. Cases are usually lifted from floor and stacked onto shelves up to 72" high Qualifications Must be older than 18. Must be available to work between 3-11. Must be available to work Saturday/Sunday OR every other weekend. Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description • We are hiring immediately for a full time ORDER BUILDER position., • Location: Prestige - 8 Roberts Lane, Clifton Park, NY 12065. Note: online applications accepted only., • Schedule: Full time; Sunday through Thursday or Monday through Friday, hours may vary. More details upon interview., • Requirement: No previous experience is required., • Fixed Pay Rate: $21.00 per hour. *Internal Employee Referral Bonus Available The advertised program is a conversational recruiting assistant that helps you apply to jobs with Compass Group. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: http://olivia.paradox.ai/moSkg About Canteen: Canteen brings break time to everyone. We combine food, service, and experience backed by industry-leading technology to help companies create a better workplace and connect their employees. Canteen’s solutions include markets, office coffee and snacks, unattended retail, and culinary. Our people are at the heart of everything we do. Their dedication, collaboration, and passion fuel our growth. Interested in joining our team? You bring the enthusiasm, customer service, and commitment; we’ll supply the opportunity and innovation. Together, we’ll continue to transform our industry. Come for the job, stay for the career. We are Canteen. Job Summary Click HERE to see a day in the life of a Canteen Order Builder! You pull, pick and stack. But when you are an Order Builder with Canteen, you are more than that. When our guests are hungry, you provide the things they crave. You make people happy. Come join a hardworking team that is dedicated to the communities we serve. Cash in on growth! You’re a team player and we recognize that. When your team makes more, you will too. On workdays, you can expect to: • Pick fast & pick easy – our smart technology knows exactly how much you need to grab so you will too., • Trash what’s damaged – if it’s popped, beaten, or uneatable, you’ll be the one to toss it., • Skip the gym – you’ll be regularly lifting up to 50 lbs. per day. Dreams of being a manager? As an Order Builder with Canteen, we give you breathing room and space to grow. With us, you’ll gain the skills needed for entry-level management. We want to see you soar. Why work for Canteen? Because you matter to us. At Canteen, we lead our industry by ensuring that wellness, quality and service are our top priorities when working with our trusted clients. But we can’t do this without a hardworking team that supports the same values. We want to encourage an inclusive culture throughout our company where everyone feels like they belong, and we’d love for you to be a part of it. Associates at Canteen are offered many fantastic benefits. Full-time and part-time positions offer the following benefits to associates: Retirement Plan, Associate Shopping Program, Health and Wellness Programs, Discount Marketplace, Identity Theft Protection, Pet Insurance, Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Legal Services, and Choice Auto and Home Program Full-time positions also offer the following benefits to associates: Medical, Dental, Vision, Life Insurance/AD, Disability Insurance, Commuter Benefits, Employee Assistance Program, Flexible Spending Accounts (FSAs). Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. https://www.compass-usa.com/wp-content/uploads/2023/08/2023WageTransparencyCanteen.pdf About Compass Group: Achieving leadership in the foodservice industry Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ Applications are accepted on an ongoing basis. Canteen maintains a drug-free workplace. Req ID:1572833 Canteen We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act.

Job Description Schedule: Full-Time Salary: $63,000–$66,000 annually, based on experience Benefits: Generous PTO Paid Holidays and Floating Holidays Aetna Health Plans, including Medical, Dental, and Vision Child Care Reimbursement Compassionate PTO Donation Program Flexible Scheduling Employee Assistance Program PTO Cash-Out Program Retirement Plan – 401(k) with Company Match Position Summary We are currently seeking a dedicated and passionate Case Manager with experience in senior living to join our team. Case Manager Responsibilities Orient and assist each resident as they adjust to life in the community. Ensure or provide therapeutic interventions to assist residents in coping with their transition and adjustment to the community, including addressing their social, emotional, and psychological needs. Assist each resident in maintaining family and community connections while encouraging the development of new relationships. Complete quality management reviews to ensure the department meets state regulations and Peregrine Senior Living policies, and follow up as needed. Collaborate with the care department and other team members to promote and protect resident rights and support each resident's psychological well-being. Education & Experience Bachelor's degree with major coursework in Human Services, and at least one year of full-time work experience in a related field. Case management experience required. Memory Care or Assisted Living experience required. Compassion for and a genuine desire to work with older adults. Company Overview Peregrine Senior Living is known for its innovative leadership in revolutionizing care for older adults. Joining Peregrine means working for a leader in memory care-based programs that has helped establish today's standards and continues to shape the future of senior care. Come join our team and help us provide exceptional care for the senior population. Peregrine Senior Living at Clifton Park, located in Clifton Park, NY, is a leading provider of memory care services and is committed to delivering exceptional care, support, and supervision to every resident. Employee Appreciation Peregrine Proud: Public recognition of exceptional employee performance. Monthly All-Staff Gift Card Drawings. Periodic All-Staff Appreciation Events. Annual Longevity Rewards, including an Anniversary Bonus and Celebration. Equal Employment Opportunity Peregrine Senior Living is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by applicable federal, state, or local law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Peregrine Senior Living makes all employment decisions based solely on qualifications, merit, and business needs.

Duties: Review financial statements including balance sheet, income statement, statement of changes, cash flows, schedule of investments and footnote disclosures including financial highlights; Understanding of hedge funds and private equity funds under administration (legal structure, investment objective, fee structure, etc.); Timely response to client inquiries, as required; Ensure timely and accurate completion of financial statements; Continually updates job knowledge by participating in educational opportunities; internal company and team trainings; maintains personal networks; participates in professional development opportunities; Assist in the development and training of new team members as required; Coordination and completion of special projects as directed by the client requests and as directed by management; and Manage client's expectations and oversee deliverable deadlines; Qualifications: 2 5+ years' (relevant) experience in Accounting, Finance or related field preferred; Minimum of a Bachelor's Degree in Accounting or related field; Advanced degree (MBA or MSA) in Accounting or related field strongly preferred; Certified Public Accountant (CPA) license is strongly preferred. Proficient in Microsoft Office Suite with knowledge of Investran or other partnership accounting software a plus; Ability to multitask, time management, attention to detail, planning, and problem-solving skills required; Ability to communicate and interact professionally and effectively through written and oral communication with current and potential clients and; Ability to work in a fast-paced environment and handle/manage multiple team and individual priorities and deadlines. Sound knowledge of accounting principles, methods, procedures, internal controls with the ability to exercise good judgement in selecting and interpreting information; Excellent client service skills with an aptitude to understand the clients' business and maintain strong client relationships; Ultimus Leverpoint is an equal opportunity employer and does not discriminate on the basis of the applicant's or employee's race, color, religion, national origin, ancestry, gender, sexual orientation, age, disability, veteran or military status, genetic information, citizenship or any other status entitled to protection under federal, state or local anti-discrimination laws. No questions on our employment application are intended to secure information that is to be used for impermissible purposes.

Job Description Schedule: Part Time with weekend availability Salary: $16.50-$17.50 per hour – based on experience Benefits: Generous PTO Paid Holidays and Floating Holidays Aetna Health Insurance, including medical, dental, and vision Child Care Reimbursement Compassionate PTO Donation Program Flexible Scheduling Employer Paid Life Insurance Employee Assistance Program PTO Cash Out Program Retirement Plan – 401(k) with company match We are currently seeking a knowledgeable and dedicated Maintenance Assistant Maintenance Assistant Responsibilities include: Work closely with Maintenance Director to help evaluate and find solutions to routine maintenance needs Care for the routine maintenance needs of the Community and its residents as if they were your own home and family Assist Maintenance Director with fire and life safety training and drills as needed Respond to resident/director/staff requests for maintenance through maintenance reports and log Assist with all minor repairs including basic carpentry, painting, electricity, plumbing, locksmith, and preventative maintenance Maintenance Assistant Education & Experience: High School diploma or equivalent diploma (GED) preferred 1 year experience in property management maintenance performing the duties associated with a Maintenance Technician Able to frequently use general maintenance tools, supplies and equipment such as, but not limited to, hand tools, pressure washers, blowers, paint equipment, pool chemicals, ice removal equipment, ladders, landscaping equipment, sanders, and safety equipment required Company Overview: Peregrine Senior Living is known for their innovative leadership in revolutionizing care for the elderly. Joining Peregrine means working for a leader in memory care-based programs, one that has set current standards and will likely define them in the future. Come join our team and help us revolutionize exceptional care for the senior population. Peregrine Senior Living at Clifton Park located in Clifton Park, NY is a leading provider of senior assisted living and memory care and is committed to providing its residents with exceptional care and supervision. Employee Appreciation: Peregrine Proud: Public acknowledgement of exceptional employee performance Monthly All Staff Gift Card Drawings Periodic All Staff Appreciation Community Events Annual Longevity Rewards: Anniversary Bonus & Celebration Peregrine Senior Living is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Peregrine Senior Living makes hiring decisions based solely on qualifications, merit, and current business needs.

Job Description Schedule: 20 hours per week, including every other weekend Salary: $16-$17.25/hour – based on experience Benefits: Generous PTO Paid Holidays and Floating Holidays Aetna Health Insurance, including medical, dental, and vision Child Care Reimbursement Compassionate PTO Donation Program – to support a team member Flexible Scheduling Employer Paid Life Insurance Employee Assistance Program PTO Cash Out Program Retirement Plan – 401(k) with company match We are currently seeking a knowledgeable and dedicated Maintenance Assistant. Maintenance Assistant Responsibilities include: Work closely with Maintenance Director to help evaluate and find solutions to routine maintenance needs Care for the routine maintenance needs of the Community and its residents as if they were your own home and family Assist Maintenance Director with fire and life safety training and drills as needed Respond to resident/director/staff requests for maintenance through maintenance reports and log Assist with all minor repairs including basic carpentry, painting, electricity, plumbing, locksmith, and preventative maintenance Maintenance Assistant Education & Experience: High School diploma or equivalent diploma (GED) preferred 1 year experience in property management maintenance performing the duties associated with a Maintenance Technician Able to frequently use general maintenance tools, supplies and equipment such as, but not limited to, hand tools, pressure washers, blowers, paint equipment, pool chemicals, ice removal equipment, ladders, landscaping equipment, sanders, and safety equipment required Company Overview: Peregrine Senior Living is known for their innovative leadership in revolutionizing care for the elderly. Joining Peregrine means working for a leader in memory care-based programs, one that has set current standards and will likely define them in the future. Come join our team and help us revolutionize exceptional care for the senior population. Peregrine Senior Living at Clifton Park located in Clifton Park, NY is a leading provider of senior assisted living care and is committed to providing its residents with exceptional care and supervision. Employee Appreciation: Peregrine Proud: Public acknowledgement of exceptional employee performance Monthly All Staff Gift Card Drawings Periodic All Staff Appreciation Community Events Annual Longevity Rewards: Anniversary Bonus & Celebration Peregrine Senior Living is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Peregrine Senior Living makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Starting Hourly Rate / Salario por Hora Inicial: $17.25 USD per hour Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. Experts of operations, process and efficiency who enable a consistent experience for our guests by ensuring product is set, in-stock, accurately priced and signed on the sales floor. The General Merchandise and Food Sales team leads inbound, outbound, replenishment, inventory accuracy, presentation, pricing and promotional signing processes for all General Merchandise (GM) areas of the store. This team leads Food & Beverage and Food Service, providing a fresh and food safe experience. Experts enable efficient delivery to our guests by owning pick, pack and ship fulfillment work. At Target, we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of an Inbound Expert can provide you with the skills and experience of: • Guest service fundamentals and experience supporting a guest-first culture across the store, • Retail business fundamentals, including department sales trends, inventory management, and process efficiency and improvement, • Executing daily/weekly workload to support business priorities and deliver on sales goals As an Inbound Expert, no two days are ever the same, but a typical day will most likely include the following responsibilities: • Create an easy, inspiring and friendly guest experience by delivering on the following commitments:, • Greet: 10ft: be friendly smile, make eye contact, or wave, • 4ft: greet the guest, smile and initiate a warm, helpful interaction, • Help guests find what they need and/or resolve issues to ensure a smooth, easy shopping experience, • End every guest transaction with a sincere thank you, • Actively support team efforts and assist peers in other areas while maintaining a positive and respectful attitude, • Adjust to business and guest needs to deliver an easy and inspiring guest experience, • Execute a detailed, accurate and efficient sorting operation., • Stock, organize and store reserve product and straighten merchandise on sales floor., • Maintain product availability on the sales floor for GM categories., • If certified, operate powered equipment as necessary while unloading freight or moving merchandise., • Process defective merchandise and handle environmentally sensitive (ESIM) items in compliance with applicable laws and regulations., • Demonstrate a culture of ethical conduct, safety and compliance., • Work in a safe manner at all times; comply with all safety policies, best practices, and training; report hazards and correct where possible., • Support guest services such as back-up cashier, order pick up (OPU) and Drive up (DU) and maintain a compliance culture while executing those duties, such as compliance with federal, state, and local adult beverage laws., • All other duties based on business needs. What We Are Looking For This may be the right job for you if: • You enjoy interacting and helping others including guests that shop our store and fellow team members you work with., • You thrive in a fast-moving, highly active and physically demanding role, where teamwork, flexibility, and creative problem solving are key to success., • You are open to working a flexible work schedule with varying hours, days or shifts (including nights, weekends, holidays and other peak shopping times). The good news is that we have some amazing training that will help teach you everything you need to know to be an Inbound Expert. But, there are a few skills you should have from the get-go: • Must be at least 18 years of age or older, • Welcoming and helpful attitude toward all guests and other team members, • Ability to communicate on multiple frequency devices and operate handheld scanners, and other technology equipment as directed, • Work both independently and with a team, • Resolve guest questions quickly on the spot, • Attention to detail and follow multi-step processes, • Capability to remain focused and composed in a fast-paced environment and accomplish multiple tasks within established timeframes We are an awesome place to work and care about our teams, so we want to make sure we are clear on a few more basics that we expect: • Accurately handle cash register operations as needed, • Climb up and down ladders, • Scan, handle, and move merchandise efficiently and safely, including frequently lifting, carrying, and moving merchandise up to 44 pounds throughout the duration of a shift without additional assistance from others. This task involves repetitive bending, twisting, reaching, and rotating motions., • Flexible work schedule (e.g., nights, weekends and holidays); come to work when scheduled, work scheduled shifts and take required meal and rest breaks, • Capable of working in and exposure to varying temperatures, humidity, and other elements while performing certain job duties including but not limited to Drive-Up, carryout, etc., • Ability to remain mobile for the duration of a scheduled shift (shift length may vary) Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits. Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_A Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel. Applications for this role are accepted on an ongoing basis and there is no application deadline. Las solicitudes para este puesto se aceptan de forma continua y no hay fecha lmite de solicitud.

Starting Hourly Rate / Salario por Hora Inicial: $16.75 USD per hour Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. Experts of operations, process and efficiency who enable a consistent experience for our guests by ensuring product is set, in-stock, accurately priced and signed on the sales floor. The General Merchandise and Food Sales team leads inbound, outbound, replenishment, inventory accuracy, presentation, pricing and promotional signing processes for all General Merchandise (GM) areas of the store. This team leads Food & Beverage and Food Service, providing a fresh and food safe experience. Experts enable efficient delivery to our guests by owning pick, pack and ship fulfillment work. At Target, we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of an Inbound Expert can provide you with the skills and experience of: • Guest service fundamentals and experience supporting a guest-first culture across the store, • Retail business fundamentals, including department sales trends, inventory management, and process efficiency and improvement, • Executing daily/weekly workload to support business priorities and deliver on sales goals As an Inbound Expert, no two days are ever the same, but a typical day will most likely include the following responsibilities: • Create an Easy, Inspiring and Friendly guest experience by delivering on the following commitments:, • Greet: 10ft: be friendly smile, make eye contact, or wave, • 4ft: greet the guest, smile and initiate a warm, helpful interaction, • Help guests find what they need and/or resolve issues to ensure a smooth, easy shopping experience, • End every guest transaction with a sincere thank you, • Actively support team efforts and assist peers in other areas while maintaining a positive and respectful attitude, • Adjust to business and guest needs to deliver an easy and inspiring guest experience, • Execute a detailed, accurate and efficient sorting operation., • Stock, organize and store reserve product and straighten merchandise on sales floor., • Maintain product availability on the salesfloor for GM categories., • If certified, operate powered equipment as necessary while unloading freight or moving merchandise., • Process defective merchandise and handle environmentally sensitive (ESIM) items in compliance with applicable laws and regulations., • Demonstrate a culture of ethical conduct, safety and compliance., • Work in a safe manner at all times; comply with all safety policies, best practices, and training; report hazards and correct where possible., • Support guest services such as back-up cashier, order pick up (OPU) and Drive up (DU) and maintain a compliance culture while executing those duties, such as compliance with federal, state, and local adult beverage laws., • All other duties based on business needs. This may be the right job for you if: • You enjoy interacting and helping others - including guests that shop our store and fellow team members you work with., • You thrive in a fast-moving, highly active and physically demanding role, where teamwork, flexibility, and creative problem solving are key to success., • You are open to working a flexible work schedule with varying hours, days or shifts (including nights, weekends, holidays and other peak shopping times). The good news is that we have some amazing training that will help teach you everything you need to know to be an Inbound Expert. But, there are a few skills you should have from the get-go: • Must be at least 18 years of age or older, • Welcoming and helpful attitude toward all guests and other team members, • Ability to communicate on multiple frequency devices and operate handheld scanners, and other technology equipment as directed, • Work both independently and with a team, • Resolve guest questions quickly on the spot, • Attention to detail and follow multi-step processes, • Capability to remain focused and composed in a fast-paced environment and accomplish multiple tasks within established timeframes We are an awesome place to work and care about our teams, so we want to make sure we are clear on a few more basics that we expect: • Accurately handle cash register operations as needed, • Climb up and down ladders, • Scan, handle, and move merchandise efficiently and safely, including frequently lifting, carrying, and moving merchandise up to 44 pounds throughout the duration of a shift without additional assistance from others. This task involves repetitive bending, twisting, reaching, and rotating motions., • Flexible work schedule (e.g., nights, weekends and holidays); come to work when scheduled, work scheduled shifts and take required meal and rest breaks, • Capable of working in and exposure to varying temperatures, humidity, and other elements while performing certain job duties including but not limited to Drive-Up, carryout, etc., • Ability to remain mobile for the duration of a scheduled shift (shift length may vary) Find competitive benefits from financial and education to well-being and beyond at _. Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: _ Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel. Applications for this role are accepted on an ongoing basis and there is no application deadline. Las solicitudes para este puesto se aceptan de forma continua y no hay fecha lmite de solicitud.

Schedule: Part Time with weekend availability Salary: $16.50-$17.50 per hour based on experience Benefits: • Generous PTO, • Paid Holidays and Floating Holidays, • Aetna Health Insurance, including medical, dental, and vision, • Child Care Reimbursement, • Compassionate PTO Donation Program, • Flexible Scheduling, • Employer Paid Life Insurance, • Employee Assistance Program, • PTO Cash Out Program, • Retirement Plan 401(k) with company match Maintenance Assistant Responsibilities include: • Work closely with Maintenance Director to help evaluate and find solutions to routine maintenance needs, • Care for the routine maintenance needs of the Community and its residents as if they were your own home and family, • Assist Maintenance Director with fire and life safety training and drills as needed, • Respond to resident/director/staff requests for maintenance through maintenance reports and log, • Assist with all minor repairs including basic carpentry, painting, electricity, plumbing, locksmith, and preventative maintenance Maintenance Assistant Education & Experience: • High School diploma or equivalent diploma (GED) preferred, • 1 year experience in property management maintenance performing the duties associated with a Maintenance Technician, • Able to frequently use general maintenance tools, supplies and equipment such as, but not limited to, hand tools, pressure washers, blowers, paint equipment, pool chemicals, ice removal equipment, ladders, landscaping equipment, sanders, and safety equipment required Company Overview: Peregrine Senior Living is known for their innovative leadership in revolutionizing care for the elderly. Joining Peregrine means working for a leader in memory care-based programs, one that has set current standards and will likely define them in the future. Come join our team and help us revolutionize exceptional care for the senior population. Peregrine Senior Living at Clifton Park located in Clifton Park, NY is a leading provider of senior assisted living and memory care and is committed to providing its residents with exceptional care and supervision. Employee Appreciation: • Peregrine Proud: Public acknowledgement of exceptional employee performance, • Monthly All Staff Gift Card Drawings, • Periodic All Staff Appreciation Community Events, • Annual Longevity Rewards: Anniversary Bonus & Celebration Peregrine Senior Living is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Peregrine Senior Living makes hiring decisions based solely on qualifications, merit, and current business needs.

Job Description At GameStop, we are committed to providing exceptional service and delivering the latest and greatest in gaming products to our customers. As a leading global retailer of video games, electronics, and gaming merchandise, we take pride in offering a wide range of products that cater to the needs and desires of gamers worldwide. Our mission is to create unforgettable experiences for our customers by constantly pushing the boundaries of what's possible. Whether you're a hardcore gamer or just starting out, we've got something for everyone. Join us in our mission to shape the future of gaming and bring the best gaming products to the world! Working with minimal supervision, the Assistant Store Manager supports the Store Manager in all facets of store operations. Using elements of GameStop's buy, sell, trade, and reservation business model, the Circle of Life, the Assistant Store Manager develops and promotes a sales culture by creating individualized and complete solutions for every guest and providing outstanding guest service experiences through professional conduct and shared passion for gaming. You will be responsible for ensuring that products are easy to see and buy, building sales by sharing product and gaming knowledge with guests, providing a clean, organized environment in which to shop, and growing guest loyalty and repeat business. This position supervises Sales Associates and Retail Keyholders in the absence of the Store Manager. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES • Provide best-in-class guest service: promptly greet guests; respond to guest questions/concerns quickly, effectively, and courteously; assist guests with meeting their video gaming needs; inform guests of special promotions; recommend additional items as appropriate; apply all selling behaviors during every transaction and thank every guest for shopping at GameStop; prioritize guests over tasks and demonstrate that commitment by circulating throughout the store., • Support the total shopping environment, including visual and operational elements, current sales initiatives, and the guest relationships that lead to sales and repeat business., • Promptly and accurately process guest purchases/return transactions using Point‐of‐Sale (POS) computer system via PC keyboard, including making correct changes, placing merchandise in a bag, providing a receipt, and ensuring top notch guest service., • Respond to guest comments or questions in person or on the phone; answer phone calls promptly, courteously, and professionally, using the phone greeting provided by GameStop; when appropriate, escalate customer issues and complaints to the Store Manager in a timely and professional manner., • Promote GameStop’s unique guest benefits, e.g., new title reservations program, trade-in program, and Pro Rewards guest loyalty program., • Assist the Store Manager with setting guest service expectations for store associates and training store associates in all aspects of their job responsibilities, including company/store policies, procedures, practices, and guidelines., • Observe associate performance, provide timely and appropriate feedback to Store Manager, and address unsatisfactory performance as directed, ensuring all store associates are aligned with company and store guest service expectations., • Provide timely and appropriate recognition and feedback to all store associates concerning performance; regularly input written feedback for each store associate into Workday / HR service management system in partnership with the Store Manager., • In partnership with the Store Manager, ensure store associates have completed all onboarding, job training, and compliance training PRIOR to opening or closing a shift on their own. Associates should know all aspects of their jobs, including all company/store policies, inventory control and loss prevention practices including scam awareness, safety best practices, financial protocol, and ethical responsibilities., • Along with the Store Manager, schedule store associates ensuring that the scheduling guidelines are followed, and all breaks and meals are accounted for as required. Supervise staffing levels to achieve optimum guest service at all times and ensure that best‐in‐class guest service is consistently provided., • Approve payroll, enter paid time off e.g. wellness, make time edits, and verify that store associates are paid for all time worked., • Ensure that all areas of the store, including restrooms, are clean, organized, and merchandised per company guidelines and all store fixtures and equipment are in proper working order., • Ensure Omni-Channel orders are fulfilled and shipped daily., • Protect company assets through effective inventory control and loss prevention practices including scam awareness, safety best practices, and delivering bank deposits as required; visually inspect associates' packages and/or belongings at store closing or at the end of a shift as appropriate. Communicate any concerns or issues to the Store Manager., • Support store team in meeting and exceeding sales, profit, and shrink goals and complete required administrative and operational duties., • Perform store inventory counts, stock/restock merchandise on shelves and fixtures, and move products from the stock room to the front of the store to ensure that all products in the store are represented, organized, and alphabetized on the sales floor., • Count, balance, and reconcile daily business transaction totals correctly and accurately in the POS system. Ensure that all closeout paperwork for daily business transactions and bank deposit slips are completed correctly and accurately; ensure store has sufficient cash and change for sales transactions; make bank deposits daily or per established guidelines., • Verify all shipments for discrepancies/shortages and record any discrepancies in the POS system; conduct merchandise counts/inventories and communicate discrepancies to Store Manager/District Manager., • Process defectives/recalls and stock pulls accurately and promptly, ensuring that all boxes are properly labeled and include packing lists., • Maintain awareness of associate and guest safety; identify and immediately address potentially hazardous situations. Report any injuries promptly per company guidelines., • Assist in maintaining store records/files in a neat and organized manner; help ensure that manuals are up to date., • Supervise and delegate tasks to Sales Associates and Retail Keyholders in absence of Store Manager., • Consistently adhere to GameStop policies and procedures, including, but not limited to, all policies and procedures in the Associate Handbook and the Code of Standards, Ethics & Conduct., • Adhere to all opening and closing procedures. QUALIFICATIONS* • Must provide proof of identity and eligibility to legally work in the United States., • Must be at least 18 years old., • High school diploma or equivalent required; associate’s or accredited bachelor’s degree with an emphasis in business, marketing, merchandising, or related field preferred., • At least 6 months of retail management experience preferred., • At least 2 years of retail sales, guest service, and/or management experience preferred., • Video game knowledge preferred. KEY JOB SKILLS AND ABILITIES • Possess an outgoing and welcoming personality with strong people skills., • Provide genuine and individualized assistance to every guest during every visit., • Demonstrate clear verbal and written communication and listening skills, both in person and on the phone, using spoken and written English; bilingual English/Spanish speaking and writing skills preferred., • Achieve objectives in a fast-paced, rapidly changing environment., • Work independently and within a team to perform all tasks as assigned and in a timely manner., • Meet associate performance expectations, including, but not limited to, attendance, personal appearance, safety, and respectful workplace., • Operate Point-of-Sale (POS) computer system., • Possess basic mathematics (addition, subtraction, multiplication, division, currency) and alphabetizing skills., • Complete required paperwork properly., • Carry out instructions furnished in written, oral or diagram form., • Execute financial tasks in strict accordance with company policy., • Work a flexible schedule, including extended hours/days as necessary, including nights, weekends, and some holidays. Minimum of 3 days/week availability., • Constructively manage pressure and adapt to stressful situations without impact on guest interactions; be creative and a problem solver., • Be reliable and trustworthy; always use good judgment., • Able to work alone. Stand and move throughout the store unassisted for up to 12 hours per day., • Bend, stoop, crouch, balance, stretch, reach with arms/hands, climb on ladders, lift merchandise weighing up to 30 lbs. from ground level to minimum height of 4 feet, and utilize other basic fine and gross motor skills., • Possess or acquire during employment onboarding a working understanding of military ranks and related insignia (applies only to positions in stores located on military bases). Job descriptions are subject to change at any time based on business conditions/needs, including changes to the essential job duties, qualifications, and/or key job skills and abilities consistent with the position’s purpose. GameStop provides equal employment opportunities to all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. GameStop provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. *Certain state-specific exceptions may apply. This position accepts applications on an ongoing basis. Candidates should express their interest by clicking APPLY. Disclaimer: GameStop provides equal employment opportunities to applicants and employees without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. GameStop provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. GameStop and its affiliated businesses reserve the right to change job descriptions at any time based on business conditions/needs, which includes expanding this job’s responsibilities and assigning additional duties consistent with the position’s purpose. Benefits: Full-time store positions at GameStop are eligible to participate in incentive programs, 401(k), paid time off, dental, vision, and health insurance. Positions at GameStop may also be eligible for a bonus and/or other incentives. Pay Range: $18.75-$22.75

Job Description At GameStop, we are committed to providing exceptional service and delivering the latest and greatest in gaming products to our customers. As a leading global retailer of video games, electronics, and gaming merchandise, we take pride in offering a wide range of products that cater to the needs and desires of gamers worldwide. Our mission is to create unforgettable experiences for our customers by constantly pushing the boundaries of what's possible. Whether you're a hardcore gamer or just starting out, we've got something for everyone. Join us in our mission to shape the future of gaming and bring the best gaming products to the world! Working with minimal supervision, the Assistant Store Manager supports the Store Manager in all facets of store operations. Using elements of GameStop's buy, sell, trade, and reservation business model, the Circle of Life, the Assistant Store Manager develops and promotes a sales culture by creating individualized and complete solutions for every guest and providing outstanding guest service experiences through professional conduct and shared passion for gaming. You will be responsible for ensuring that products are easy to see and buy, building sales by sharing product and gaming knowledge with guests, providing a clean, organized environment in which to shop, and growing guest loyalty and repeat business. This position supervises Sales Associates and Retail Keyholders in the absence of the Store Manager. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES • Provide best-in-class guest service: promptly greet guests; respond to guest questions/concerns quickly, effectively, and courteously; assist guests with meeting their video gaming needs; inform guests of special promotions; recommend additional items as appropriate; apply all selling behaviors during every transaction and thank every guest for shopping at GameStop; prioritize guests over tasks and demonstrate that commitment by circulating throughout the store., • Support the total shopping environment, including visual and operational elements, current sales initiatives, and the guest relationships that lead to sales and repeat business., • Promptly and accurately process guest purchases/return transactions using Point‐of‐Sale (POS) computer system via PC keyboard, including making correct changes, placing merchandise in a bag, providing a receipt, and ensuring top notch guest service., • Respond to guest comments or questions in person or on the phone; answer phone calls promptly, courteously, and professionally, using the phone greeting provided by GameStop; when appropriate, escalate customer issues and complaints to the Store Manager in a timely and professional manner., • Promote GameStop’s unique guest benefits, e.g., new title reservations program, trade-in program, and Pro Rewards guest loyalty program., • Assist the Store Manager with setting guest service expectations for store associates and training store associates in all aspects of their job responsibilities, including company/store policies, procedures, practices, and guidelines., • Observe associate performance, provide timely and appropriate feedback to Store Manager, and address unsatisfactory performance as directed, ensuring all store associates are aligned with company and store guest service expectations., • Provide timely and appropriate recognition and feedback to all store associates concerning performance; regularly input written feedback for each store associate into Workday / HR service management system in partnership with the Store Manager., • In partnership with the Store Manager, ensure store associates have completed all onboarding, job training, and compliance training PRIOR to opening or closing a shift on their own. Associates should know all aspects of their jobs, including all company/store policies, inventory control and loss prevention practices including scam awareness, safety best practices, financial protocol, and ethical responsibilities., • Along with the Store Manager, schedule store associates ensuring that the scheduling guidelines are followed, and all breaks and meals are accounted for as required. Supervise staffing levels to achieve optimum guest service at all times and ensure that best‐in‐class guest service is consistently provided., • Approve payroll, enter paid time off e.g. wellness, make time edits, and verify that store associates are paid for all time worked., • Ensure that all areas of the store, including restrooms, are clean, organized, and merchandised per company guidelines and all store fixtures and equipment are in proper working order., • Ensure Omni-Channel orders are fulfilled and shipped daily., • Protect company assets through effective inventory control and loss prevention practices including scam awareness, safety best practices, and delivering bank deposits as required; visually inspect associates' packages and/or belongings at store closing or at the end of a shift as appropriate. Communicate any concerns or issues to the Store Manager., • Support store team in meeting and exceeding sales, profit, and shrink goals and complete required administrative and operational duties., • Perform store inventory counts, stock/restock merchandise on shelves and fixtures, and move products from the stock room to the front of the store to ensure that all products in the store are represented, organized, and alphabetized on the sales floor., • Count, balance, and reconcile daily business transaction totals correctly and accurately in the POS system. Ensure that all closeout paperwork for daily business transactions and bank deposit slips are completed correctly and accurately; ensure store has sufficient cash and change for sales transactions; make bank deposits daily or per established guidelines., • Verify all shipments for discrepancies/shortages and record any discrepancies in the POS system; conduct merchandise counts/inventories and communicate discrepancies to Store Manager/District Manager., • Process defectives/recalls and stock pulls accurately and promptly, ensuring that all boxes are properly labeled and include packing lists., • Maintain awareness of associate and guest safety; identify and immediately address potentially hazardous situations. Report any injuries promptly per company guidelines., • Assist in maintaining store records/files in a neat and organized manner; help ensure that manuals are up to date., • Supervise and delegate tasks to Sales Associates and Retail Keyholders in absence of Store Manager., • Consistently adhere to GameStop policies and procedures, including, but not limited to, all policies and procedures in the Associate Handbook and the Code of Standards, Ethics & Conduct., • Adhere to all opening and closing procedures. QUALIFICATIONS* • Must provide proof of identity and eligibility to legally work in the United States., • Must be at least 18 years old., • High school diploma or equivalent required; associate’s or accredited bachelor’s degree with an emphasis in business, marketing, merchandising, or related field preferred., • At least 6 months of retail management experience preferred., • At least 2 years of retail sales, guest service, and/or management experience preferred., • Video game knowledge preferred. KEY JOB SKILLS AND ABILITIES • Possess an outgoing and welcoming personality with strong people skills., • Provide genuine and individualized assistance to every guest during every visit., • Demonstrate clear verbal and written communication and listening skills, both in person and on the phone, using spoken and written English; bilingual English/Spanish speaking and writing skills preferred., • Achieve objectives in a fast-paced, rapidly changing environment., • Work independently and within a team to perform all tasks as assigned and in a timely manner., • Meet associate performance expectations, including, but not limited to, attendance, personal appearance, safety, and respectful workplace., • Operate Point-of-Sale (POS) computer system., • Possess basic mathematics (addition, subtraction, multiplication, division, currency) and alphabetizing skills., • Complete required paperwork properly., • Carry out instructions furnished in written, oral or diagram form., • Execute financial tasks in strict accordance with company policy., • Work a flexible schedule, including extended hours/days as necessary, including nights, weekends, and some holidays. Minimum of 3 days/week availability., • Constructively manage pressure and adapt to stressful situations without impact on guest interactions; be creative and a problem solver., • Be reliable and trustworthy; always use good judgment., • Able to work alone. Stand and move throughout the store unassisted for up to 12 hours per day., • Bend, stoop, crouch, balance, stretch, reach with arms/hands, climb on ladders, lift merchandise weighing up to 30 lbs. from ground level to minimum height of 4 feet, and utilize other basic fine and gross motor skills., • Possess or acquire during employment onboarding a working understanding of military ranks and related insignia (applies only to positions in stores located on military bases). Job descriptions are subject to change at any time based on business conditions/needs, including changes to the essential job duties, qualifications, and/or key job skills and abilities consistent with the position’s purpose. GameStop provides equal employment opportunities to all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. GameStop provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. *Certain state-specific exceptions may apply. This position accepts applications on an ongoing basis. Candidates should express their interest by clicking APPLY. Disclaimer: GameStop provides equal employment opportunities to applicants and employees without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. GameStop provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. GameStop and its affiliated businesses reserve the right to change job descriptions at any time based on business conditions/needs, which includes expanding this job’s responsibilities and assigning additional duties consistent with the position’s purpose. Benefits: Full-time store positions at GameStop are eligible to participate in incentive programs, 401(k), paid time off, dental, vision, and health insurance. Positions at GameStop may also be eligible for a bonus and/or other incentives. Pay Range: $18.75-$22.75

Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI) 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. What You’ll Do: 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, 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. Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4 McLean, VA: $218,700 - $249,600 for Applied Researcher 4 New York, NY: $238,600 - $272,300 for Applied Researcher 4 San Jose, CA: $238,600 - $272,300 for Applied Researcher 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 5 (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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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 AI Engineer 5 Richmond, VA: $209,000 - $238,500 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 5 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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 AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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 4 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. What You’ll Do: 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, 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. Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m users 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 Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks Experience designing controlled experiments and documenting reproducibility results for internal or public research 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: $218,700 - $249,600 for Applied Researcher 4 Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4 New York, NY: $238,600 - $272,300 for Applied Researcher 4 San Francisco, CA: $238,600 - $272,300 for Applied Researcher 4 San Jose, CA: $238,600 - $272,300 for Applied Researcher 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 3 (AI Foundations) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems 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 AI Engineer 3 McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 5 (FM Hosting, LLM Inference) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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 AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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 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 Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m users 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 Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling 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: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II Cambridge, MA: $262,500 - $299,600 for Applied Researcher II San Francisco, CA: $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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 4 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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 5 (AI Foundations, LLM Core and Agentic AI) 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. What You’ll Do: 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, 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. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: Currently has, or is in the process of obtaining, 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 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

Starting Hourly Rate / Salario por Hora Inicial: $17.25 USD per hour Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. Experts of operations, process and efficiency who enable a consistent experience for our guests by ensuring product is set, in-stock, accurately priced and signed on the sales floor. The General Merchandise and Food Sales team leads inbound, outbound, replenishment, inventory accuracy, presentation, pricing and promotional signing processes for all General Merchandise (GM) areas of the store. This team leads Food & Beverage and Food Service, providing a fresh and food safe experience. Experts enable efficient delivery to our guests by owning pick, pack and ship fulfillment work. At Target, we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of an Inbound Expert can provide you with the skills and experience of: • Guest service fundamentals and experience supporting a guest-first culture across the store, • Retail business fundamentals, including department sales trends, inventory management, and process efficiency and improvement, • Executing daily/weekly workload to support business priorities and deliver on sales goals As an Inbound Expert, no two days are ever the same, but a typical day will most likely include the following responsibilities: • Create an Easy, Inspiring and Friendly guest experience by delivering on the following commitments:, • Greet:, • 10ft: be friendly smile, make eye contact, or wave, • 4ft: greet the guest, smile and initiate a warm, helpful interaction, • Help guests find what they need and/or resolve issues to ensure a smooth, easy shopping experience, • End every guest transaction with a sincere thank you, • Actively support team efforts and assist peers in other areas while maintaining a positive and respectful attitude, • Adjust to business and guest needs to deliver an easy and inspiring guest experience, • Execute a detailed, accurate and efficient sorting operation., • Stock, organize and store reserve product and straighten merchandise on sales floor., • Maintain product availability on the salesfloor for GM categories., • If certified, operate powered equipment as necessary while unloading freight or moving merchandise., • Process defective merchandise and handle environmentally sensitive (ESIM) items in compliance with applicable laws and regulations., • Demonstrate a culture of ethical conduct, safety and compliance., • Work in a safe manner at all times; comply with all safety policies, best practices, and training; report hazards and correct where possible., • Support guest services such as back-up cashier, order pick up (OPU) and Drive up (DU) and maintain a compliance culture while executing those duties, such as compliance with federal, state, and local adult beverage laws., • All other duties based on business needs. What We Are Looking For This may be the right job for you if: • You enjoy interacting and helping others - including guests that shop our store and fellow team members you work with., • You thrive in a fast-moving, highly active and physically demanding role, where teamwork, flexibility, and creative problem solving are key to success., • You are open to working a flexible work schedule with varying hours, days or shifts (including nights, weekends, holidays and other peak shopping times). The good news is that we have some amazing training that will help teach you everything you need to know to be an Inbound Expert. But, there are a few skills you should have from the get-go: • Must be at least 18 years of age or older, • Welcoming and helpful attitude toward all guests and other team members, • Ability to communicate on multiple frequency devices and operate handheld scanners, and other technology equipment as directed, • Work both independently and with a team, • Resolve guest questions quickly on the spot, • Attention to detail and follow multi-step processes, • Capability to remain focused and composed in a fast-paced environment and accomplish multiple tasks within established timeframes We are an awesome place to work and care about our teams, so we want to make sure we are clear on a few more basics that we expect: • Accurately handle cash register operations as needed, • Climb up and down ladders, • Scan, handle, and move merchandise efficiently and safely, including frequently lifting, carrying, and moving merchandise up to 44 pounds throughout the duration of a shift without additional assistance from others. This task involves repetitive bending, twisting, reaching, and rotating motions., • Flexible work schedule (e.g., nights, weekends and holidays); come to work when scheduled, work scheduled shifts and take required meal and rest breaks, • Capable of working in and exposure to varying temperatures, humidity, and other elements while performing certain job duties including but not limited to Drive-Up, carryout, etc., • Ability to remain mobile for the duration of a scheduled shift (shift length may vary) Find competitive benefits from financial and education to well-being and beyond at _. Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: _ Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to _. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel. Applications for this role are accepted on an ongoing basis and there is no application deadline. Las solicitudes para este puesto se aceptan de forma continua y no hay fecha lmite de solicitud.

Treasurer Job Duties: Analyzes and recommends optimal capital structure alternatives and roadmap to implementation. Evaluates the company's borrowing capacity and optimal use of debt to finance future growth, focusing on current and future leverage metrics and rating agency implications. Supports and manages financial structure, negotiating and executing financing transactions as needed, including bank facilities, debt financing, lenders, documentation review and covenants. Executes stock repurchase program execution, foreign currency hedging support, and investment management. Ensures Treasury strategies are aligned to support business growth while minimizing risk. Guarantees global banking needs are sufficient to support the business. Develops a strategy and corresponding policies and procedures for the company's global banking structure. Enhances operational efficiency, while minimizing risk and banking fees. Compiles information from around the company to create a routine cash forecasting process, understanding the impact of working capital policies, accounting methods, capital projections, and board authorizations. Creates a strategy and policy for investing cash as appropriate, while ensuring operational flexibility and preservation of capital. Anticipates cash needs and make recommendations to the Executive Staff and BOD for raising funds through the acquisition of debt, sale of stock, or changes in company policies that impact the amount of working capital required to run the business. Manages the credit and collections process.

Loomis - - Responsibilities: Conduct deposit verification and/or change order preparation; Separate currency, coin, and/or check deposits by denomination; Prepare currency and/or coin change orders by denomination.

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 4 (AI Foundations, VLM Customization) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 5 (LLM Gateway, FM Hosting) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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 AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 4 (MLX) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 5 (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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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 AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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 Staff AI Engineer - Agentic AI Platform (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One’s AI technical leadership 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, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 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 AI systems Demonstrated ability to lead and mentor multiple engineering teams 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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 5 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. What You’ll Do: 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, 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. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: Currently has, or is in the process of obtaining, 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 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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 5 (AI Foundations - LLM, Optimization and Finetuning) 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. What You’ll Do: 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, 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. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: Currently has, or is in the process of obtaining, 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 fieldsOverview: 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 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You’ll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5 years of experience optimizing ML algorithms, configurations, and infrastructure 5 years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5 years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5 years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5 years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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 AI Engineer 5 Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

Machine Learning Engineer 5 (IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You’ll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5 years of experience optimizing ML algorithms, configurations, and infrastructure 5 years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5 years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5 years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5 years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

AI Engineer 5 (AI Foundations, VLM Customization) 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. What You’ll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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 AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).