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Job Description Job Title: Entry-Level Electronic Repair Technician Job Description We are seeking a motivated and detail-oriented Entry-Level Electronic Repair Technician to join our team. The ideal candidate will be responsible for diagnosing, repairing, and testing electronic assemblies and circuit boards. This position requires fine soldering skills, the ability to work with small components under magnification, and a willingness to learn through hands-on training. Prior experience is helpful but not required. Responsibilities • Perform assembly, troubleshooting, and repair of electronic components and circuit boards., • Solder and desolder small electronic components, including surface-mount (SMT) and through-hole parts, using a magnifying glass or microscope., • Use multimeters and other test equipment to diagnose electrical and electronic issues., • Read and interpret electronic schematics, wiring diagrams, and technical documentation., • Inspect completed repairs to ensure quality and compliance with company standards., • Document repairs, test results, and maintenance activities., • Maintain a clean and organized work area following safety procedures., • Assist tenured technicians with complex repairs and learn new repair techniques through on-the-job training. Essential Skills • Ability to read schematics., • Ability to solder small components accurately and neatly., • Experience using a multimeter for voltage, resistance, and continuity testing preferred., • Strong attention to detail and manual dexterity., • Good troubleshooting and problem-solving skills., • Ability to sit for extended periods while performing detailed work under magnification. Additional Skills & Qualifications • Basic understanding of electronics and electronic components preferred., • Willingness to learn and participate in on-the-job training. Why Work Here? On-the-job training available. The work site is climate-controlled and well-organized. Enjoy working in a quiet environment with a smaller team. The company offers team-building activities, such as cookouts, raffles, and outings. Work Environment The work schedule is Monday through Thursday from 6:00 am to 2:30 pm, and Friday from 5:30 am to 1:30 pm. Overtime opportunities are available, usually worked on Saturdays or before/after the shift. The environment is metal-free, and adherence to safety procedures is essential. Job Type & Location This is a Contract to Hire position based out of Schenectady, NY. Pay and Benefits The pay range for this position is $20.60 - $20.60/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Schenectady,NY. Application Deadline This position is anticipated to close on Aug 20, 2026. About Aerotek Aerotek® Inc. provides staffing and services solutions in manufacturing, logistics, construction, aviation, facilities and maintenance. We provide the expertise, solutions and people required to rise to the challenges of North American industry. Headquartered in Hanover, Md., Aerotek operates a unified network of over 200 offices across North America, supporting more than 18,000 clients each year. Aerotek is an Allegis Group company, the global leader in workforce and business solutions. To learn more, visit: Aerotek.com | 1-888-AEROTEK. Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. \nCompany Description We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow. We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.

Job Description Company Summary Grace Fellowship is a Christ-centered, non-denominational Christian church in the Capital District that believes in the authority of the Bible. All of the Church’s teaching focuses on integrating the truth of God's Word into our daily lives. Grace Fellowship’s mission is “to glorify God by making more and better disciples.” We believe that God, in His wisdom, has chosen us to be an integral part of helping to fulfill this mission. It’s Grace Fellowship’s goal to see our community continually moving forward in their journey towards being Christ-centered. Grace Fellowship has 3 locations: Latham, Halfmoon, and Saratoga. Position Summary The Production Coordinator provides leadership and technical oversight to support worship services, rehearsals, and special events. This role ensures reliable, high-quality audio, video, and lighting through effective programming, preparation, system maintenance, and troubleshooting. The Production Coordinator oversees production volunteer teams and collaborates with the Worship Arts Pastor to carry out their vision for services. Essential Functions • Oversee weekend preparation and setup as directed by the Worship Arts Pastor, ensuring production spaces are ready, organized, and fully functional for services, • Operate, maintain and monitor all production equipment, including audio, video, lighting, and stage systems, ensuring safe and reliable execution during services and events, • Build and lead the Production Ministry alongside the Worship Arts Pastor by recruiting, training, and supporting volunteers., • Coordinate scheduling for production volunteers serving during Sunday services and special events, prioritizing accuracy, clear communication, and timely updates. Ensure adequate coverage for all campus production roles across services and events., • Produce in-person worship services by providing technical oversight and hands-on support in the preparation and execution of services and special events, serving as a technical operator as needed., • Develop and maintain a master plan for production equipment maintenance, replacement, and upgrades, including documentation of needs and timelines, • Participate in the design and construction of stage designs, special elements, and event rentals as assigned, • Collaborate with multi-campus worship leaders, production teams, and church-wide staff on all-staff meetings, events, and volunteer gatherings to support unified standards and effective execution, • Assist with annual budget planning and responsible stewardship of production resources, including equipment planning and cost awareness, • Ensure safe operation of production equipment and adherence to technical and safety standards, including proper setup, cable management, and risk awareness, • Use a scissor lift, ladder, or other powered or manual equipment as needed to install, maintain, and adjust production equipment or stage design, in accordance with training and safety requirements, • Perform other related production and service support duties as assigned in support of campus ministry and worship initiatives Knowledge, Skills, & Abilities (KSAs) Required KSAs • Associates degree from a 2-year college and/or four (4) years related experience or training, or an equivalent combination of education and experience, • Knowledge of live production systems, including audio, video, lighting, with the ability to apply best practices in a worship environment, • Demonstrated ability to exercise sound judgement and make timely decisions during live services and events, • Consistently produces high-quality work with strong attention to detail and accuracy, • Strong interpersonal skills & the ability to effectively work with a wide range of individuals, • Proven ability to communicate clearly, both verbally and in writing, with calm professionalism during time-sensitive situations, • Ability to safely operate production equipment and maintain awareness of technical and physical safety standards in worship environments, • Current active member of Grace Fellowship, or willingness to become a member and actively support the mission, values, and beliefs of Grace Fellowship Desired KSAs • Working knowledge of production software and hardware such as Planning Center, Vista by Chroma-Q, GrandMA, Ableton Live, Pro Tools, ProPresenter, Resolume, and Allen & Heath consoles, • Experience managing volunteers or teams strongly preferred, including scheduling, coaching, and accountability What We Believe Grace Fellowship expects all staff to align with our nine (9) statements of faith. These can be found on our website. Working Conditions • Work is performed in office, sanctuary, rehearsal, and live production environments, • Transportation to & between work locations, as required, • Weekend and some evening work required, • This position requires regular in-person work on campus, with limited remote work at the discretion of the supervisor, • Exposure to varying sound levels and stage lighting during rehearsals and worship services Physical & Mental Demands • Ability to perceive and respond to auditory cues necessary for production coordination and team communication, with or without reasonable accommodation, • Ability to visually monitor and adjust lighting cues, video feeds, stage environments, and production elements with or without reasonable accommodation, • Ability to operate production technology using fine motor skills, with or without reasonable accommodation, • May be required to lift up to 50 lbs., • Ability to look at a computer screen for a significant part of the workday, • Continuous talking and hearing while communicating with staff and volunteers, • Finger dexterity required to use computers, tablets, and ministry-operated equipment, • Ability to plan and organize tasks, solve problems, and make independent decisions, • Reading, writing, and interpreting information, • Strong communication, leadership, and interpersonal skills, • Ability to safely operate ladders, scissor lifts, and other powered or manual equipment required for stage setup, lighting adjustments, and production-related tasks, in accordance with safety training and procedures, with or without reasonable accommodation Equal Employment Opportunity Grace Fellowship is an Equal Opportunity Employer committed to fair and inclusive hiring practices in accordance with applicable federal and state laws.

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

Job Description Excell Marketing - Join a team that keeps retail moving. Excell Marketing is seeking a dependable, self-motivated Retail Account Merchandiser to help create exceptional shopping experiences and ensure our products are displayed at their best. If you enjoy working independently, staying active throughout the day, and taking pride in seeing the direct results of your work, this could be the perfect opportunity for you. As a Retail Account Merchandiser, you'll travel to multiple retail locations each day, stocking merchandise, building eye-catching displays, and maintaining strong relationships with store teams. Every day brings variety, responsibility, and the chance to make a visible impact. Location: Saratoga, NY (and surrounding areas). Schedule: • Monday–Friday, • 8-hour shifts scheduled with your District Manager, • Typical working hours fall between 6:00 AM and 6:00 PM based on business needs, • Overtime and occasional Saturdays may be required, • Average workweek: 40–45 hours Why join Excell Marketing? • Competitive Hourly Wages, • Paid Time Off and Sick Pay, • Bonus Opportunities, • Medical, Dental, Vision and Life Insurance packages available (For full-time employees only), • Commission based on sales at assigned stores (For full-time employees only), • Paid travel time and mileage reimbursement (for employees driving themselves), • 401(k) and profit-sharing programs, • Opportunities to advance, • Independent, hands-on work environment What You'll Do • Complete assigned service visits at multiple retail locations each day, • Unpack, stock, and merchandise products according to company planograms, • Maintain clean, organized, and visually appealing product displays, • Ensure merchandise is properly labeled and priced, • Build and maintain positive professional relationships with store management and receiving personnel, • Communicate regularly with management and field service teams through phone, email, text, and video calls, • Represent Excell Marketing with professionalism and attention to detail Job Requirements: • Travel requirement: Reliable transportation is required to travel to all assigned retail locations within a 75-mile radius (approximately 90 minutes of driving time maximum, average is less than 1 hour)., • Reimbursement and paid travel time: Mileage is reimbursed for employees driving themselves in their own vehicle. Travel time is paid to and from all service stops (door to door)., • Driver qualifications: If you are driving yourself, you must have a valid driver’s license, a good driving record, and adequate insurance coverage., • Required insurance coverage: $100,000 for bodily injury per person, $300,000 for total bodily injury per accident, and $100,000 for property damage per accident., • Personal smartphone with an active service plan (biweekly stipend provided to help cover cost), • Basic computer and smartphone proficiency, including:, • Downloading and using several company applications and websites on your smartphone, • Connecting to Wi-Fi networks, • Completing reports and forms, • Uploading/downloading documents (Word, Excel, PDF, JPG files), • Using email and two-factor authentication, • Texting, Phone and Video calls with management and fellow employees, • Strong communication and organizational skills, • Professional attitude and demeanor when interacting with coworkers, store personnel, and customers Physical Requirements: This is an active role and requires: • Lift and move boxes up to 50 lbs. independently onto a cart frequently, • Perform team lifts for items over 50 lbs. as needed, • Frequent bending and stooping, • Occasional kneeling or crawling to access lower shelves, • Use of a small step stool (no more than two steps) to reach higher shelving, • Standing and walking for extended periods of time, • Fine motor skills (such as applying pricing labels, hanging up pegged items, placing signage and other small fixtures) A Drug-Free Workplace and Equal Opportunity Employer We use E-Verify to confirm work authorization / eligibility for all hires. Excell Brands employees are prohibited from purchasing Excell products from any Excell-serviced retailer directly or indirectly.

Job Description Provincial Senior Living, proudly part of the Discovery Senior Living family of operating companies, manages lifestyle-focused senior living communities. Our company, which was built on our “Pillars of Excellence,” employs thousands of vital Team Members and is committed to providing a positive work environment and culture that recognizes their value in providing excellent experiences for our residents. We offer rewarding career opportunities that include: • Competitive wages, • Access to wages before payday, • Flexible scheduling options with full-time and part-time hours, • Paid time off and Holidays (full-time), • Comprehensive benefit package including health, dental, vision, life and disability insurances (full-time), • 401(K) with employer matching, • Paid training, • Opportunities for advancement, • Meals and uniforms, • Employee Assistance Program Our community is looking for a Server to join our team. Responsibilities: • Utilizes proper food handling and food service techniques., • Takes meal/drink orders and serves meals in a friendly and timely manner., • Assures resident/guest is satisfied with their meals., • Maintains knowledge of all specials and general description of all food items and explains to residents or guests., • Maintains assigned tables and surrounding area in a complete state of cleanliness, appearance and readiness., • Follows daily, weekly and monthly cleaning schedules., • Assists with orientation and training of new food servers., • Practices all safety and loss prevention procedures., • Sets-up and cleans the Dining Room while maintaining or exceeding hospitality and service standards., • Maintains or exceeds standards of appearance, cleanliness, personal sanitation, and hygiene., • Performs and completes opening and closing checklist criteria., • Assists in dining room and surrounding areas for proper directional flow, organization and supplies placement., • Other duties as assigned. Qualifications: • High school diploma or equivalent preferred., • Previous experience in fine dining preferred. If having a direct impact on the lives of others is appealing to you, apply today and join our team! EOE D/V

Job DescriptionSince 1994, SPORTIME has been proud to operate the finest tennis and sports facilities in New York State. SPORTIME’s 20 club locations most recently expanded to include the iconic Port Washington Tennis Academy, now SPORTIME Port Washington. SPORTIME currently offers 192 indoor and outdoor tennis courts and 131 pickleball courts, as well as rinks, turf, camps, gyms and more, at sites across Long Island, in NYC, in Westchester and in the NY Capital Region. SPORTIME clubs are state-of-the-art, yet affordable, and feature the best tennis, pickleball, sports and camp facilities and programs, including the John McEnroe Tennis Academy (JMTA) and SPORTIME Volleyball Club (VBC). SPORTIME clubs serve individuals of every age and athletic ability, 365 days a year. JOB SUMMARY: The Fitness Professional must be able to professionally monitor their own schedule; instruct a variety of lesson types; promote the company; and up-sell members on programming. RESPONSIBILITIES: ● Lead member benefit group exercise classes. ● Conduct personal training sessions. ● Maintain strong professional relationships with members and prospects. ● Organize and maintain a neat working environment. ● Deliver best-in-class customer service. ● Communicate with clientele to up-sell programming and give feedback on performance. ● Abide by all SPORTIME policies and procedures. ● Present a neat and well groomed appearance at all times, and wear Sportime attire as required. ● Be in fitness room prepared to teach and begin all sessions at scheduled starting time. ● Ensure that your schedule is correct on a daily and weekly basis and that you have the necessary resources (room, training aids, etc) to hold your classes and sessions. KNOWLEDGE, SKILLS AND ABILITIES: ● Certified for applicable classes and well as personal training ● Knowledge of various fitness programs ● Strong interpersonal communication skills, including coaching, giving clear and direct feedback and mentoring for continuous improvement. ● Ability to communicate information and ideas verbally and in writing so that others will understand ● Ability to work as part of a team as well as on your own. ● Ability to maintain a professional composure with members in difficult situations ● Ability to teach (coach) technical and tactical skills to a diverse clientele WORK CONTEXT/ACTIVITIES ● In addition to the responsibilities and qualifications set forth above, this position requires physical activity, including but not limited to: o Use of both fine and gross motor skills o Use of abdominal and lower back muscles, continuously over time, without fatigue o Sit and to stand for long periods of time COMPENSATION: $20.00 - $25.00 per hour commensurate with experience SCHEDULE: Part-time BENEFITS: Member benefits- Employees receive complimentary Sportime membership and are eligible to use club facilities, including tennis, fitness and sports, to participate in club programs on a complimentary or discounted basis, and to receive discounts on retail and other purchases. 401k Plan with employer match – Employees are eligible to enroll in Sportime’s 401k retirement plan, with matching, after they have completed one year of continuous service, worked at least 1000 hours in such calendar or anniversary year, and are over 21 years old. Sportime Clubs, LLC is an Equal Opportunity Employer that encourages and seeks workplace diversity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sexual orientation, gender (including pregnancy and gender identity), marital status, disability, domestic violence victim status, predisposing genetic characteristics, military status, citizenship or any other characteristic protected by applicable federal, state, or local law. Sportime Clubs, LLC will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes from Recruiters or Placement Agencies will not be accepted by our company and will be processed accordingly. Powered by JazzHR Ljm1QaomBj

Remote contract for PhDs in Chemistry, Chemical Engineering, or related fields. Work on cutting-edge projects with top AI labs while earning up to $100+/hour, fully remote, with flexible weekly hours. No AI experience required Role Overview Help fine-tune large language models (like ChatGPT) using your chemistry knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities • Design advanced chemistry problems to test AI performance (e.g., chemical engineering, biochemistry)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level chemistry topics. Requirements • PhD (pursuing or completed) in Chemistry, Chemical Engineering, Biochemistry, or related field., • Strong chemistry reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required Perks • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details • Pay rate: $100+/hour (depends on role and candidate expertise)., • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

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 Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San 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).

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San 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).

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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 I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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 (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San 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).

Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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).

Administrative assistant / officer position available for Business Development. Full time with Medical Insurance and part-time available. New graduate or experienced candidate, he/she can take responsibility, motivate and energetic to work with passion and implement new tasks. Ability to prioritize and multitask. Excellent organization skill, ability to work in a team environment and independently. Computer skill including basic google doc, word, excel, PPT and basic graphic design (flyer, etc.), social networks, Facebook, etc.; website experience is a plus. Language: Excellent English & Chinese written and communication skills Education background: prefer master, bachelor is fine. We are an institute, we may provide H-1 for qualified person and if it is necessary. Job Type: Full-time

Job DescriptionTeam Description: Kitware’s computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME and Telesculptor. About the Projects: At Kitware, you will collaborate directly with customers and work with researchers to apply state-of-the-art AI approaches to dynamic, real-world problems. In this role, you will lead projects focused on national security, making a tangible difference in protecting our country on a daily basis. You may also participate in live field tests. We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, Army C5ISR, NOAA, ONR, other branches of the US military, and multiple members of the Intelligence Community on a range of efforts including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs a unique open source business model to foster extended, collaborative communities, and to provide flexible, high-quality technical solutions. If you’ve used CMake, ITK, or VTK, you know our work and the impact it has on the communities we help build.In This Position You Will: • Own the Project Lifecycle: Provide comprehensive project management for artificial intelligence and computer vision projects tailored for U.S. government and defense customers., • Partner with Research Pioneers: Work hand-in-hand with a Principal Investigator (PI) to translate cutting-edge AI research into executable project roadmaps that meet and exceed customer expectations., • Lead Cross-Functional Teams: Guide a talented team of researchers and developers to deliver complex technical milestones on time, within scope, and on budget., • Drive Customer Engagement: Manage technical communication with government stakeholders, steering the preparation of high-impact status reports, technical briefings, and progress reviews., • Fuel Growth: Participate actively in business development, contributing technical execution strategies to proposal writing, pitch presentations, and new customer capture.Required Qualifications:, • Education: Bachelor's or Master's degree in a STEM field (Computer Science, Computer Engineering, Math, or a related technical discipline preferred)., • Project Management Experience: 5+ years of technical project management experience, with a proven track record of managing U.S. Government contracts (DARPA, IARPA, DoD, or IC preferred)., • Technical Literacy: A strong understanding of machine learning concepts (model selection, training, validation, testing, and deployment) and hands-on programming experience in Python or C++ to effectively interface with engineering teams., • Proposal Crafting: Direct experience writing and contributing to successful government technical proposals., • Clearance & Citizenship: Active TS or TS/SCI security clearance (or a recent TS eligible for immediate reactivation). Due to contractual requirements, only U.S. citizens will be considered for this position., • Location: Full-time, on-site work at Kitware’s Clifton Park, NY, headquarters.Preferred Qualifications:, • Experience specifically managing computer vision or advanced deep learning projects., • Hands-on experience training, fine-tuning, or deploying AI models., • Familiarity with open-source software development practices and communities., • Project Management Professional (PMP) certification. About Clifton Park, NY: Located just north of New York’s capital city, in one of the fastest growing counties in the state, Clifton Park is a vibrant suburban community. Known for its parks and recreational facilities, Clifton Park is close to Albany, Schenectady, Saratoga, and Troy, and within about 3 hours of NYC, Boston, and Montreal. Kitware maintains a beautiful 42,000 sq. ft. office space in the heart of Clifton Park, with conference facilities, large gathering areas, and an expansive third-floor outdoor patio. Click HERE for a brief video about what it’s like to live and work in New York’s Capital Region. Additional Information: Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. For more information on our benefit offerings please visit: https://www.kitware.com/careers/. Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property. Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees. If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at hr@kitware.com at any time during the hiring process. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Title: Entry-Level Electronic Repair Technician Job Description We are seeking a motivated and detail-oriented Entry-Level Electronic Repair Technician to join our team. The ideal candidate will be responsible for diagnosing, repairing, and testing electronic assemblies and circuit boards. This position requires fine soldering skills, the ability to work with small components under magnification, and a willingness to learn through hands-on training. Prior experience is helpful but not required. Responsibilities • Perform assembly, troubleshooting, and repair of electronic components and circuit boards., • Solder and desolder small electronic components, including surface-mount (SMT) and through-hole parts, using a magnifying glass or microscope., • Use multimeters and other test equipment to diagnose electrical and electronic issues., • Read and interpret electronic schematics, wiring diagrams, and technical documentation., • Inspect completed repairs to ensure quality and compliance with company standards., • Document repairs, test results, and maintenance activities., • Maintain a clean and organized work area following safety procedures., • Assist technicians with complex repairs and learn new repair techniques through on-the-job training. Essential Skills • Ability to read schematics., • Ability to solder small components accurately and neatly., • Experience using a multimeter for voltage, resistance, and continuity testing preferred., • Strong attention to detail and manual dexterity., • Good troubleshooting and problem-solving skills., • Ability to sit for extended periods while performing detailed work under magnification. Additional Skills & Qualifications • Basic understanding of electronics and electronic components preferred., • Willingness to learn and participate in on-the-job training. Why Work Here? On-the-job training available. The work site is climate-controlled and well-organized. Enjoy working in a quiet environment with a smaller team. The company offers team-building activities, such as cookouts, raffles, and outings. Work Environment The work schedule is Monday through Thursday from 6:00 am to 2:30 pm, and Friday from 5:30 am to 1:30 pm. Overtime opportunities are available, usually worked on Saturdays or before/after the shift. The environment is metal-free, and adherence to safety procedures is essential. Job Type & Location This is a Permanent position based out of Schenectady, NY. Pay and Benefits The pay range for this position is $20.60 - $20.60/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Schenectady,NY. Application Deadline This position is anticipated to close on Aug 20, 2026. About Aerotek Aerotek® Inc. provides staffing and services solutions in manufacturing, logistics, construction, aviation, facilities and maintenance. We provide the expertise, solutions and people required to rise to the challenges of North American industry. Headquartered in Hanover, Md., Aerotek operates a unified network of over 200 offices across North America, supporting more than 18,000 clients each year. Aerotek is an Allegis Group company, the global leader in workforce and business solutions. To learn more, visit: Aerotek.com | 1-888-AEROTEK. Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. \nCompany Description We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow. We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.

No experience? That's fine — sharing your opinion is the whole job. Maxion Research connects everyday people with paid remote studies, surveys, and product tests from real companies. Active members earn up to $790 a week on the studies they qualify for. No experience, no selling, no fees — ever. What's involved: short remote studies, surveys, and product tests you take part in from home — you pick the ones that fit you. All you need: a phone, tablet, or computer with a camera and an internet connection. No degree, no résumé, no experience. Why Maxion Research: genuine paid studies with real companies — not a sales pitch or a "get rich" scheme. Your information stays private, and you choose which studies you join. Work it around a job, school, or family. Pay: up to $790/week, depending on the studies you complete. Spots fill quickly — check if you qualify today. Compensation varies by study and assignment; not all applicants will qualify. Full terms shown on the application form.

In school and need money that works around your class schedule? Join between classes, at night, or on weekends — you pick. Maxion Research matches everyday people with paid market research: remote studies, product tests, and online surveys from real companies. Companies genuinely want younger opinions, so students often qualify for more studies. Active members earn up to $790 a week on the studies they qualify for. No experience, no selling, no fees. What's involved: short remote studies, surveys, and product tests you take part in from home — you pick the ones that fit you. All you need: a phone, tablet, or computer with a camera and an internet connection. No degree required — being a student is fine. Why Maxion Research: genuine paid studies with real companies — not a sales pitch or a "get rich" scheme. Your information stays private, and you choose what you join. No minimum hours, no schedule. Pay: up to $790/week, depending on the studies you complete. Spots fill quickly — check if you qualify today. Compensation varies by study and assignment; not all applicants will qualify. Full terms shown on the application form.

No experience? That's fine — sharing your opinion is the whole job. Focus Group Panel connects everyday people with paid remote focus groups, surveys, and product tests from brands you already know. Active members earn up to $790 a week on the studies they qualify for. No experience, no selling, no fees — ever. What you'll do: join short remote sessions, surveys, and product tests you choose, and share honest feedback. What you need: a phone, tablet, or computer with a camera and reliable internet. No degree, no résumé, no experience. Why Focus Group Panel: real studies with real brands — not a scam or a sales pitch. Your info stays private, and you choose what you join. Part-time or full-time, on your schedule. Pay: up to $790/week, varies by study. Spots are limited — check your eligibility today. Compensation varies by study and assignment; not all applicants will qualify. Full terms shown on the application form.

In school and need money that works around your class schedule? Join between classes, at night, or on weekends — you pick. Focus Group Panel connects everyday people with paid market research: remote focus groups, product tests, and online surveys from brands you already use. Companies genuinely want younger opinions, so students often qualify for more studies. Active members earn up to $790 a week on the studies they qualify for. No experience, no selling, no fees. What you'll do: join short remote sessions, surveys, and product tests you choose, and share honest feedback. What you need: a phone, tablet, or computer with a camera and reliable internet. No degree required — being a student is fine. Why Focus Group Panel: real studies with real brands — not a scam or a sales pitch. Your info stays private, and you choose what you join. No minimum hours, no schedule. Pay: up to $790/week, varies by study. Spots are limited — check your eligibility today. Compensation varies by study and assignment; not all applicants will qualify. Full terms shown on the application form.

Job DescriptionSince 1994, SPORTIME has been proud to operate the finest tennis and sports facilities in New York State. SPORTIME’s 20 club locations most recently expanded to include the iconic Port Washington Tennis Academy, now SPORTIME Port Washington. SPORTIME currently offers 192 indoor and outdoor tennis courts and 131 pickleball courts, as well as rinks, turf, camps, gyms and more, at sites across Long Island, in NYC, in Westchester and in the NY Capital Region. SPORTIME clubs are state-of-the-art, yet affordable, and feature the best tennis, pickleball, sports and camp facilities and programs, including the John McEnroe Tennis Academy (JMTA) and SPORTIME Volleyball Club (VBC). SPORTIME clubs serve individuals of every age and athletic ability, 365 days a year. LOCATIONS: SPORTIME Capital Region JOB SUMMARY: The maintenance assistant will perform all of the necessary janitorial and maintenance tasks inside the club house, offices, and locker rooms. The maintenance assistant is also responsible for the daily cleaning and maintaining of the tennis courts. This position also involves all outdoor maintenance of the grounds and surrounding area to the facility. Additional duties may be assigned as they develop. This is a hands-on, full-time working position. Tennis court maintenance is a priority. RESPONSIBILITIES: ● Tennis Court Maintenance● Daily communication with Maintenance team ● All janitorial work in and around the facility (washing and/or mopping floors, stairs, sidewalks, walls, dusting, vacuuming rugs, cleaning glass surfaces, wood panels, sweeping, applying wax to the floor. ● Restack paper products, soap, shampoo, razors, deodorant and other supplies ● Ensure courts are maintained (cleaned, maintained) daily ● Ensure equipment is operational, clean and safe to operate ● Maintain a safe, clean and secure work environment ● Abide by SPORTIME policies and procedures. ● Change light bulbs and batteries in automatic dispensers ● Collect and dispose of trash bags from receptacles ● Collect and place for storage: tennis balls and all other equipment used on ● Tennis court maintenance ● Uphold safety standards by wearing protective gear when using cleaning supplies, identify and correct tripping a and slipping hazards, bring faulty cleaning equipment issues to the attention of the Maintenance Director and the GM and ensure that all MSDS are up to date and easily accessible. KNOWLEDGE, SKILLS & ABILITIES REQUIRED: ● Valid NYS Driver’s License ● Reliable transportation to travel to several locations throughout the workday ● Knowledge of maintaining hard and clay tennis courts a PLUS ● Basic Knowledge of Electrical and Plumbing a PLUS ● Basic knowledge of carpentry, painting, construction and mechanical issues ● Knowledge of basic principles for providing customer service ● Ability to us electric tools, hand tools. ● Ability to bend, stretch, twist, or reach with your body, arms and/or legs ● Ability to use your abdominal and lower back muscles to support part of the body repeatedly or continuously over time without “fatiguing” ● Ability to tell when something is wrong or is likely to go wrong. ● Ability to apply general rules to specific problems to produce answers /solutions ● Ability to lift and carry up to 50lbs ● Ability to communicate information verbally and in writing so that others will understand ● Developing constructive and cooperative work relationships with others and maintaining them over time. WORK CONTEXT/ACTIVITIES:● In addition to the responsibilities and qualifications set forth above, this position requires strenuous physical activity, including but not limited to: • Lifting (up to 50 lbs.), carrying, balancing, walking, stooping, bending, stretching, twisting and reaching using entire body and a, • Use of both fine and gross motor skills, • Use of abdominal and lower back muscles, continuously over time, without fatigue, • Sit and to stand for long periods of time● The position requires the employee to work indoors and outdoors. Outdoor responsibilities include shoveling (in cold, damp snow and rain), raking, picking up trash, use of water, etc. COMPENSATION: $18.00 - $22.00 per hour SCHEDULE: Full-time with weekend availability BENEFITS: Member benefits- Employees receive complimentary Sportime membership and are eligible to use club facilities, including tennis, fitness and sports, to participate in club programs on a complimentary or discounted basis, and to receive discounts on retail and other purchases. Health, dental and vision insurance - Full-Time employees are eligible to enroll in Sportime’s group health, dental and vision insurance plans on the first day of the month after they have worked 60 days. Premiums are deducted pre-tax from employees’ gross pay; Sportime contributes to the premiums of employees based upon gross pay thresholds. 401k Plan with employer match – Employees are eligible to enroll in Sportime’s 401k retirement plan, with matching, after they have completed one year of continuous service, worked at least 1000 hours in such calendar or anniversary year, and are over 21 years old. Sportime Clubs, LLC is an Equal Opportunity Employer that encourages and seeks workplace diversity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sexual orientation, gender (including pregnancy and gender identity), marital status, disability, domestic violence victim status, predisposing genetic characteristics, military status, citizenship or any other characteristic protected by applicable federal, state, or local law. Sportime Clubs, LLC will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes from Recruiters or Placement Agencies will not be accepted by our company and will be processed accordingly. Powered by JazzHR rCVy9tHS4J

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives you th

Greet and welcome guests as soon as they arrive at the office.Answer high volume incoming phone calls and direct them to the appropriate person.Provide basic and accurate information in-person and via phone/email.Update insurance information in EHR.Maintain HIPAA office standards and procedures per

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives you th

Start earning quickly with a flexible schedule.Shopping with Instacart is more than grocery delivery.Shoppers help make our world go round.They make money, make moves, and make shopping lists come true.They make good time, make life easier, and make peoples day.Shoppers make it all happensign up now

Start earning quickly with a flexible schedule.Shopping with Instacart is more than grocery delivery.Shoppers help make our world go round.They make money, make moves, and make shopping lists come true.They make good time, make life easier, and make peoples day.Shoppers make it all happensign up now

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives you th

At the foundation of those efforts are our cultural beliefs, the pillars that define our work ethic, collaborative spirit and service.

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives you th

ENT and Allergy Associates is an equal opportunity employer.We celebrate diversity and are committed to creating an inclusive environment for all employees.

Buffalo Wild Wings - 22 Clifton Country Road - Responsibilities: Work across multiple kitchen stations including Chip, Shake, Grill, Southwest, and Expo; Prepare and cook Buffalo Wild Wings menu items; Collaborate with team to deliver quality guest experiences; Assist with maintaining kitchen cleanl

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives you th

We're currently expanding our team and looking for motivated, competitive individuals seeking an opportunity to build a high-income career from home.Qualified warm leads (no cold outreach).Proven systems, structured training, and ongoing mentorship.Exclusive work with labor union members.Long-term c

As the global leader in health and wellness innovation since 1935, GNC motivates people to reach their goals with the most trusted and exciting selection of products in the industry.As #TeamGNC, we work hard to ensure that our consumers come first.We are always cultivating and collaborating on new i

Peregrine Senior Living - 5 South Family Drive - Responsibilities: Provide a high level of customer service and promote a restaurant-style dining atmosphere; Work closely with the Dining Director to keep residents satisfied with food and dining programs; Set tables in accordance with Peregrine Senio

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Benefits include: New York Paid Sick Time, Set-Up and Tear Down Premium Pay Programs, End of Season Premium Pay Program.All Bonus and Pay Programs subject to qualifications.Brand - Spirit Halloween The Sales Associate will support the Store Management Team in the setup, merchandising, pack-up and te

You are applying for work with a franchisee of Taco Bell, not Taco Bell Corp.If hired, the franchisee will be your only employer.Franchisees are independent business owners who set their own wage and benefit programs that can vary among franchisees.Our Team Members are friendly and helpful to custom

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives you th

Description You are applying for work with a franchisee of Taco Bell, not Taco Bell Corp.If hired, the franchisee will be your only employer.Franchisees are independent business owners who set their own wage and benefit programs that can vary among franchisees.