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What we offer • Excellent health benefits plan, which includes medical, vision and dental options, • 401(k) with company match, • Company profit sharing plan, • Generous paid time-off and paid holidays, • Paid parental leave, • 2 free on-site fitness rooms, • Employee Assistance Program, • Employee Resource Groups, • Personal and professional development program Job Summary The Regional Director of Operations leads a team of Franchise Business Consultants (FBCs) assuring the region is fulfilling SERVPRO’s obligation to help franchisees achieve their business goals. The Regional Director of Operations is also responsible for managing results based on the company's objectives for their region. This position is meant to coach and motivate consultants to provide value-added services to franchisees within the region, and embrace SERVPRO’s operating systems and business philosophies, thereby, producing higher volume and profits. You will • Meet company-defined objectives and results, quarterly and annually., • Assure each Consultant is meeting the job description requirements and responsibilities as outlined in their job description., • Act as a liaison between Servpro Headquarters, Franchise Business Consultants, and Associate Franchises in the region., • Monitor and provide accountability with the consultant’s goals and objectives., • Achieve at least $1,500,000 in average volume per franchise license in the region., • Ensure a low level of the number of franchise terminations in the region., • Provide group presentations at area meetings in the region regarding SERVPRO® topics., • Monitor corporate key initiatives and assist with assignment responsibilities as needed., • Ensure each consultant has completed business goal setting through the Annual Strategic Planning Process for each regional franchise operator. Monitor goal progress and effectively coach to assist in goal achievement., • Personally monitor top quartile performing license owners’ engagement with their consultants and the SERVPRO® operating system., • Effectively manage 4th quartile license performance improvement., • Assist in successful implementation and achievement of regional strategic initiatives. Provide one-on-one meetings with Franchise Business Consultants. Maintain direct oversight and monitoring of training for new Franchise Business Consultants., • Keep abreast of developments within SERVPRO® and the industry. Remain current on new technology as it relates to cleaning and restoration., • Attend all mandatory meetings defined as consultant meetings, all parts of annual SERVPRO convention including workshops, regional meetings, and any other meetings, seminars, or programs designated as mandatory by SERVPRO®., • Performance manage assigned team members. Provide timely and valuable feedback, identify areas of weaknesses, and make recommendations for improvement., • Develop a team of quality people who focus on excellent service, fairness, and mutual respect. Ensure training for consultants as needed., • Assist with the annual budget and provide oversight of regional P&L accountability., • Monitor travel schedule and expenses for regional team members., • Gather, compile, and communicate industry-related information. Provide consultants and franchisees with useful technical and operational marketing information., • Maintain consistent communications with regional franchises, as well as other franchises, on an as-needed basis. You have • Three to five (3-5) years of multi-unit management experience., • Ability to read, write, and communicate with employees, customers, suppliers, in person, on the phone, and by written communications in a clear, straight forward, and professional manner., • Franchise consulting experience required., • Excellent presentation skills., • Skilled in the development of training programs and standard operating procedures with strong written, verbal, and presentation skills., • Strong leadership, supervision, team building, coaching, and consulting skills., • Excellent communication skills including the ability to represent SERVPRO® to internal and external clients/customers., • Proficiency in Microsoft Office including the use of Microsoft Word, Outlook, Excel, and PowerPoint., • Possess strong organizational, analytical, and time management skills., • Ability to fully understand the SERVPRO® Operating System., • Ability to fully understand and train SERVPRO® Stages of Development., • An understanding of financial statements, QuickBooks® Pro, and general business practices., • Strong persuasion and negotiation skills., • Demonstrated conflict resolution and consulting skills., • A complete understanding of training venues, resources, and programs (i.e., NFTP, FMC, DTP, T/D, etc.)., • Financial experience with P&L and balance sheet analysis., • Maintain a valid Driver’s License., • Location: This position supports the Northeast Region (ME, NH, VT, MA, RI, CT, NY, NJ, PA, DE, MD). Candidates are strongly preferred to reside in the Greater Nashville, TN area or one of the states listed above to best support regional operations, leadership collaboration, and franchise engagement. Regular travel throughout the Northeast region is required. Education • Bachelor’s degree in Business, Finance, or other related field or equivalent work-related experience., • Institute of Inspection Cleaning and Restoration (IICRC), Water Restoration Technician (WRT), and Applied Structural Drying (ASD) certification or ability to obtain within first year of employment. (Testing and renewal fees not reimbursed by SERVPRO®) Compensation range: $123,200-169,450 plus up to 25% annual incentive bonus The actual salary offered will be based on a variety of factors, including skills, experience, qualifications, internal equity, and location. About SERVPRO For more than 50 years, SERVPRO® has been a trusted leader in fire and water cleanup and restoration services, mold mitigation, construction, biohazard and pathogen remediation throughout the United States and Canada. Our 2,200+ individually owned and operated franchises are supported by our dedicated headquarters team. We strive to cultivate a professional community that respects and celebrates the things that make us unique, the things we share, and the collaborative spirit we bring to the work we pursue together. SERVPRO is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, gender, sexual orientation, national origin, veteran or disability status.

New Hire Incentive Bonus! UniFirst’s Whippany, NJ location is now offering an incentive bonus for $1,000 new hires. The following guidelines must be met to be eligible: • New hire must reach 90 days of employment to receive the full incentive bonus., • New hire must abide by UniFirst’s 90-Day Probationary Period. This includes meeting UniFirst’s attendance and performance policy., • New hire must not have been previously employed by UniFirst. Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Maintenance Supervisor to join our UniFirst community! As the Maintenance Supervisor you will ensure all facility equipment is efficiently functioning and identify areas to improve processes, procedures, maintenance practices and on-going training for all maintenance staff. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime. We have an immediate opening and provide on the job training. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement. Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds because we believe it takes many kinds of people to make us successful. What you’ll be doing: • Diagnose mechanical and electrical problems and determine corrective action by checking blueprints, schematics, repair manuals and parts catalogs., • Inspect, operate, and test machinery and equipment to diagnose machine malfunctions., • Performing basic welding activities to effect repairs on facilities and equipment., • Troubleshoot and repair Programmable Logic Controllers (PLC’s) and associated control systems., • Perform and assign all preventive maintenance on facility and production assets., • Follow blueprints, schematics, operations manuals, manufacturer’s instructions, and engineering specifications using a documented schedule., • Perform boiler chemical and wastewater pre-treatment system testing, record results in logbooks / computer systems and make necessary chemical adjustments as required., • Manage and assign all equipment maintenance, including repairs which cannot be completed during standard hours., • Assume responsibility for all shifts in the maintenance department., • Oversee and implement all maintenance related regulatory and environmental compliance requirements., • Assume responsibility for all aspects of safety within the maintenance department., • Perform Confined Space and Lockout / Tagout procedures where appropriate., • Monitor training status of technicians and provide time for required training as needed., • Utilize a Computerized Maintenance Management System., • Partner with the Production Manager to develop, manage and maintain budget for building, equipment, capital expenditures and parts/labor., • Train and develop maintenance partners., • Perform other duties as assigned by leadership. Qualifications What we’re looking for: • High school and/or GED is preferred., • Two-year technical degree in an appropriate background is preferred., • Must be at least 21 years of age., • Valid driver’s license and a safe driving record are required., • Must pass UniFirst’s maintenance knowledge assessment to be eligible for employment., • Knowledgeable in maintenance equipment. This includes wiring, electrical, mechanical, electronic components, pipe systems and plumbing required., • Minimum of 3 years of work experience repairing industrial processing equipment in a production environment required. Applicable military experience will be considered., • Minimum of 2 years of experience supervising maintenance personnel is preferred., • Maintenance administration experience including planning, scheduling, budgeting, negotiating, parts management, vendor management, maintenance management systems is required., • Ability to read blueprints and schematics is required., • Ability to read and understand maintenance literature printed in English required., • Proficiency in Microsoft Office skills is required., • Experience in Hand & Power tools is required., • Lockout / Tagout experience is required, • Ability to work overtime as needed is required., • Ability to lift up to 80 lbs. The estimated salary for this position ranges from $82,426.14 to $114,480.75 yearly. Actual compensation will vary based on factors including but not limited to the candidate’s skills, experience, and qualifications. Geographic differentials may also apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 1.5-billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 13,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. There’s a lot to love about UniFirst, where you come first. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Maintenance Utility Worker to join our UniFirst community. As a Team Partner in the Maintenance Department, you will be assisting with maintaining the location building and equipment systems by performing; basic maintenance and plant utility functions, loading and unloading deliveries, painting, operating industrial equipment, and plant cleaning / blowdowns. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime! We have an immediate opening and provide on the job training. Pay & Benefits: On the job training & great hourly pay + 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Direct Payroll Deposit, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement. Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds. We believe our diversity makes us who we are, and we strive every day to build a culture where everyone feels welcome. What you’ll be doing: • Utilize equipment to perform plant cleaning operations, this includes,: floor scrubbers, lint and dust removal devices, outside rubbish removal, equipment cleaning, and pit / trench screen cleaning., • Perform miscellaneous painting tasks throughout the plant or outside on facility grounds., • Operate powered industrial forklifts / lifts throughout the facility to assist in relocating materials., • Assist in loading and unloading trucks, • Assist with production receiving activities., • Perform various levels of facilities upkeep including landscaping, snow removal, and other removal operations., • Perform light equipment maintenance tasks, trench screen cleaning, lint and dust blowdown of facilities and equipment, fluid level checks, light bulb replacement, ceiling tile replacement, cart cleaning and repair, and pressure washing after appropriate training from UniFirst., • Upon proper training and certification, may be called upon to operate Company vehicles such as shuttle trucks or route trucks., • Perform other duties as assigned by leadership. Qualifications What we’re looking for: • High school diploma or GED equivalent required., • At least 2 years of relevant experience is preferred., • Must be 18 years of age or older, • Valid driver's license and a safe driving record are required., • Ability to work independently with little or no supervision., • Must be able to operate powered industrial equipment (forklifts, floor scrubbers, scissor lifts) and other similar tools as required., • Experience using basic hand and power tools is required., • Ability to read, comprehend and interpret procedures and instructions in English., • Ability to effectively present information and respond to questions from co-workers and managers., • Ability to work overtime as needed is required., • Ability to lift up to 80 lbs. The estimated hourly pay for this position ranges from $19.23 to $25.59 per hour. Actual compensation will vary based on factors including but not limited the candidate’s skills, experience, and qualifications. Geographic differentials may apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 2 billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 14,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

Job Description Our Vision: To make New York City the global model for inclusive innovation and economic growth, fueled by the City's diverse people and businesses. Our Mission: Creating a vibrant, inclusive, and globally competitive economy for all New Yorkers. The Asset Management Property Operations Department is responsible for protecting and enhancing the value of City-owned real estate assets and serving the operational needs of tenant businesses. In addition, the department assists NYCEDC in the allocation of resources among its properties. Position Overview: The Mechanic position is responsible for the operations and maintenance of City-owned properties within NYCEDC's Asset Management portfolio, specifically the Bush Terminal/MADE Campus in Brooklyn, NY, and other properties as assigned within the EDC portfolio. This role reports to the AVP of Operations of the MADE Campus. Essential Duties and Responsibilities: Maintenance & Repairs: • Perform preventive maintenance, repairs, and emergency services as directed, including electrical, gas, water & sewer, plumbing, heating ventilation and air conditioner (HVAC), domestic water pumps, carpentry, painting, masonry and general janitorial needs. Perform cleaning duties when required. Field Management: • Conduct daily inspections of assigned properties and inform supervisor of any maintenance issues or repairs needed. Ability to work autonomously but also receive guidance from the Specialty Mechanic or Lead Mechanic., • Perform inspections and have familiarity with the functionality of the mechanical equipment., • When directed, provide technical guidance to maintenance personnel, including scheduling and coordinating work assignments per supervisor direction. Outsourced Contracting: • Monitor and report work performed by outsourced contractors., • Assist and escort outsourced contractors when required. Communication and Reporting: • Communicate effectively with peers, supervisors, and external partners., • Report on repairs and projects with relevant stakeholders to provide status updates and ensure timely completion of work. Emergency Response: • Respond to emergencies as required. Must be available and responsive 24/7 and able to assist with solutions during the decision-making process as issues arise., • Conduct snow removal duties at assigned sites Training: • Assist the Specialty Mechanic and/or Lead Mechanic and learn new trades as needed., • When directed, provide technical guidance to maintenance personnel, including scheduling and coordinating work assignments. Duty Station and Site Reporting: • This is an onsite position that requires a 5-day presence at the Sunset Park Campus with travel to our main office at One Liberty Plaza as needed., • Other duties as assigned. Certifications and Ongoing Development: While not required at the time of hire, the following certifications (not limited to) are encouraged and may be obtained during employment: • OSHA 30 Hour, • FDNY S12 Supervision of Sprinkler Systems (Citywide), • FDNY S13 Supervision of Standpipe Systems (Citywide), • FDNY S95 Supervision of Fire Alarm Systems, • Backhoes/heavy equipment training (Dump Truck/front-end loader/skid steer/backhoe), • NYS Driver license Class D, • Power Industrial Truck Certification, • Aerial Work Platform Certification, • CPR/AED/Basic First Aid Training, • TWIC Certification Qualifications: • High School diploma or equivalent; vocational training or certification is a plus., • 5+ years of experience required with working knowledge in maintenance, inspections and repairs, • Ability to use handheld and desktop computer devices to input work orders and record work, • Must maintain a valid NYS Driver License with clean driving record, • Working knowledge of construction and handyman repair techniques. Experience in electrical, plumbing, HVAC and equipment associated with trades, • Experience working with hand tools, power tools, and materials, and equipment associated with construction related trades., • Knowledge of New York City, • New York City residence required within 180 days of hire Salary Range $60,000—$62,000 USD About Us: New York City Economic Development Corporation is a mission-driven, nonprofit organization that works for a vibrant, inclusive, and globally competitive economy for all New Yorkers. We take a comprehensive approach, through four main strategies: strengthen confidence in NYC as a great place to do business; grow innovative sectors, with a focus on equity; build neighborhoods as places to live, learn, work, and play; and deliver sustainable infrastructure for communities and the city's future economy. NYCEDC is committed to offering competitive benefits to support employee health, happiness, and work-life balance. We offer comprehensive benefits and unique perks to ensure NYCEDC employees flourish in their professional and personal lives: • Generous employer subsidized health insurance, • Medical, dental, and pharmacy plans, • Vision and hearing benefits, • Flexible spending accounts for healthcare and dependent care, • Short term and long-term disability coverage, • 100% employer covered life insurance and supplemental life insurance coverage, • Up to 25 vacation days, • Floating Holidays and Summer Fridays, • Parental leave - up to 20 paid weeks, • Retirement savings programs, • Company-paid 401(a) defined contribution plan, • 457(b) tax-advantaged retirement savings plan, • Tuition Reimbursement program, • Continuing education and professional development, • Public Service Loan Forgiveness (PSLF) eligible employer, • College savings plan, • Backup childcare, • Gym membership discounts, • A Calm.com membership for mindfulness and mental health support, • Employee discounts through Plum Benefits and much more Benefits listed above may vary based on the length and nature of your employment with New York City Economic Development Corporation. These benefits are subject to be modified at any time, at the discretion of the organization. The New York City Economic Development Corporation is an Equal Opportunity Employer. Our Diversity, Equity, and Social Responsibility Mission is to create a People First strategy by attracting, retaining, and engaging a diverse and talented workforce. Like the city of New York, NYCEDC knows our strength comes from each of our connected parts, making the fabric of our organization better and stronger because of our unique employees' talents. At NYCEDC, all applications are reviewed by our Talent Acquisition team and hiring managers. We do not use artificial intelligence (AI) tools to screen, evaluate, or make decisions regarding candidate resumes or applications. Each candidate is considered through a thoughtful, human-led review process to ensure equity, consistency, and alignment with the needs of the role. For more information, visit our website at edc.nyc.

Job DescriptionBenefits/Perks • Careers Advancement Opportunities, • Flexible Scheduling, • Competitive CompensationJob SummaryWe are looking for a skilled Mechanic to service commercial gas & oil boilers.. As a Boiler Mechanic, you will assist our customers by diagnosing and repairing issues with commercial boilers. As a Boiler Mechanic, you must have an in-depth understanding of Boilers. The ideal candidate is skilled in communicating with customers, able to explain issues clearly and concisely and provide valuable advice. Responsibilities • Diagnose and service commercial Boilers, • Carry out routine service calls, i.e. Change Filter, change Nozzles etc., • Conduct in-depth inspections of all systems, including Burners, • Create repair estimates and timelines and convey information to staff, • Ensure a high level of customer satisfaction and repeat business Qualifications, • High school diploma or GED is required, • Strong customer service and communication skills are required

Job Description We are looking for a talented Diesel Technician to join our growing Fleet Maintenance Department at our Bronx, NY shop. Why Pyle? • Pay Rate: $30.00 - $45.00 per hour based upon experience and skillset, • $5.00 per hour shift differential, • 11:00 PM start time, Sunday through Thursday, • Weekly pay, via direct deposit; annual benefits and paid time off, • Overtime pay after 40 hours, • Company-funded Tool Reimbursement Program Simply put, when it comes to getting the job done, Pyle People Deliver. A family-owned and operated business since 1924, Pyle believes in providing you with the resources and stability to succeed. Our promise is to provide outstanding service as it remains to be our first and foremost mission. Your main responsibilities will include, but are not limited to: • Performing routine preventative maintenance and repairs to heavy duty trucks, • Troubleshooting and performing repairs to brakes, air systems, electrical components, suspension systems, etc., • Diagnosing and performing necessary repairs to the engine, electrical, and exhaust after-treatment systems, • Inspecting and replacing general components as required Your Benefits will include: • Medical, Dental, Vision, and Life Insurance, • 8 paid annual holidays; paid vacation & personal time off, • 401(k) with company match; annual profit sharing, • Weekly pay via direct deposit To be successful in this role you will need to have the following: • Minimum of 2 years’ experience repairing/maintaining Class 8 trucks, • A complete set of hand tools for a heavy duty truck technician, • Vocational or Technical Training in diesel or heavy-duty vehicle experience; HS Diploma or equivalent preferred, but not required, • Willingness to learn and grow your abilities, • Ability to work independently with a “can-do” attitude Want a look under the hood? Click here to see what a typical day as a Pyle Technician looks like: https://vimeo.com/511212424 A Duie Pyle is the Northeast’s premier integrated supply chain solutions provider ideally equipped in servicing the congested Northeast metropolitan region. Family-owned since 1924, A. Duie Pyle provides engineered logistics solutions and consultative services utilizing our vast network of LTL Service Centers, strategically located warehouses, Dedicated fleet operations and specialized Truckload services through Pyle Logistics. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Job Description Welcome to Allegiance Trucks, where our dedication to service fuels every mile. Since our founding in March 2019, we've been on an unstoppable path of growth, acquiring 17 dealership groups and expanding to over 40 locations across ten states. Our team is as dynamic as it is diverse, united by a shared commitment to prioritize our customers, uplift one another, and foster a workplace where everyone thrives. As a leading truck dealership group, we're proud to represent top-tier brands like International, Hino, Isuzu, and Ford, providing exceptional support to the Northeast's essential trucking community. At Allegiance Trucks, we're not just moving forward - we're driving the future of trucking. Why Allegiance Trucks? When joining our team, you will be working alongside the best in the business, helping us make Allegiance Trucks great! We are a veteran friendly organization that provides opportunities for additional training, career growth and advancement, as well as a comprehensive benefits package that includes: • Competitive starting pay, • Excellent health benefits including; Medical, Dental and Vision plans, a complimentary life insurance policy, and several other voluntary coverage options to choose from, • Generous Paid Time Off policy, including vacation, sick time and floating holidays, • 401(k) with Company match, • Support and encouragement for your continued advancement with additional training Allegiance Trucks is committed to equal opportunity for all employees and applicants. EXPERIENCED DIAGNOSTIC DIESEL TECHNICIAN — $45–$55/HOUR Build your career. Increase your earning potential. Work on some of the best equipment in the industry. Allegiance Trucks is growing, and we’re looking for skilled Diesel Technicians who want to build a long-term career with a company that invests in its people. Your growth matters to us – Allegiance Trucks has a dedicated in-house Technician Trainer and Training Facility designed to give our technicians hands-on development, technical training, and the tools they need to continuously improve their skills and earning potential. We’re growing — and that creates opportunity for our people. With more than 40 locations across 10 states, Allegiance Trucks provides opportunities to grow your career within a larger organization while still being part of a local service team. Your experience matters. Our $45-55/hour pay range reflects differences in technical experience, diagnostic ability, productivity and skill level. We are looking for an experienced Diagnostic Specialist with 3+ years of experience. $45-55/hour based on experience and skill level Work on International, Hino, Isuzu, Ford and other commercial vehicles Paid training and manufacturer certifications Tool Program + Red Wing boot voucher Opportunities to advance your career Comprehensive benefits + 401(k) company match Military experience? Your skills may transfer directly to this role. Your skills are valuable. We want to help you turn them into a career. Why Experienced Technicians Choose Allegiance Truck Centers. We know great technicians have choices. That’s why we invest in the tools, training, technology and benefits that help you build a better career: • Paid manufacturer and technical training, • Technician incentive/productivity program, • Opportunities to earn industry certifications, • Dedicated in-house Technician Trainer, • Access to our dedicated technician training facility, • Tool program, • Red Wing boot voucher, • Modern diagnostic equipment, • Opportunities for overtime, • Career advancement opportunities, • Health, dental and vision coverage, • Company-paid life insurance, • 401(k) with company match, • Generous PTO Plan, • Free Gym membership, • Veteran-friendly workplace We don’t expect you to stop learning when you become a technician. We invest in developing your diagnostic, electrical, engine, emissions and technical skills so you can continue growing throughout your career. What We Are Looking For: Diagnose complex mechanical, electrical and electronic systems using OEM and aftermarket diagnostic tools. Diagnose, repair and maintain diesel engines, transmissions, aftertreatment systems, electrical systems, brakes, driveline components, steering, suspension and other heavy-duty truck systems Ability to provide and maintain a personal set of standard hand tools; Allegiance’s Tool Program provides additional support for your tool needs. Strong Mechanical aptitude and willingness to continuously develop technical skills Technical school, diesel program, or equivalent hands-on experience preferred What You’ll Do No two days are exactly alike. You’ll diagnose and repair commercial trucks, troubleshoot electrical and mechanical issues, perform preventive maintenance, complete inspections and work alongside experienced technicians to get customers’ trucks safely back on the road. You’ll have the opportunity to work on everything from routine maintenance to complex engines, electrical, emissions and drivetrain repairs. We respect the trade. Being a great technician takes skill, experience and pride in your work. At Allegiance Trucks, we recognize the value our technicians bring to our customers and our business. We invest in training, equipment and career development because great technicians are the foundation of great service. DISCLAIMER: This is not necessarily an exhaustive list of responsibilities, skills, duties, requirements, efforts, or working conditions associated with this position. While this list is intended to be an accurate reflection of the current position, the company reserves the right to revise the functions and duties of the job to require that additional or different tasks be performed, or further education required with circumstance changes (such as growth, workload, changes in personnel, technological developments, etc.) As a proud Equal Opportunity Employer (EOE), we do not discriminate based on race, color, national origin, ancestry, citizenship status, religion, sex, sexual stereotyping, sexual orientation, gender, gender identity, gender expression, age, marital status, mental or physical disability, medical condition, genetic information, military or veteran status, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), or any other protected characteristic. Employment may be contingent upon Allegiance’s receipt of an acceptable and job-related drug test, motor vehicle report, and/or reference check, as applicable and permissible by law. #ATTECHR3 As a proud Equal Opportunity Employer (EOE), we do not discriminate based on race, color, national origin, ancestry, citizenship status, religion, sex, sexual stereotyping, sexual orientation, gender, gender identity, gender expression, age, marital status, mental or physical disability, medical condition, genetic information, military or veteran status, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), or any other protected characteristic. Employment may be contingent upon Allegiance’s receipt of an acceptable and job-related drug test, motor vehicle report, and/or reference check, as applicable and permissible by law.

Securitas Technology, part of Securitas, is a world-leading provider of integrated security solutions that protect, connect and optimize businesses of all types and sizes. More than 13,000 colleagues in 40 countries are focused daily on our purpose to help make your world a safer place and our commitment to deliver an unparalleled client experience. With clients at the heart of all we do, our people, knowledge and technology power our connected ecosystem of health, safety and security solutions and services. POSITION SUMMARY As an Applications Engineer, you will need to formulate an engineered estimate and or budget for new and existing clients that shall be provided by consultants, engineers, construction managers, general contractors and also from in-house Sales Representatives, Key Account Representatives and or Project Managers. SCOPE OF RESPONSIBILITY • Analyze and interpret blueprints, specifications, and scope documents for fire and security system projects., • Prepare detailed cost estimates for labor, materials, and equipment for alarm systems, CCTV, access control, and other low-voltage installations., • Conduct take-offs and identify potential value-engineering alternatives to reduce costs without sacrificing quality., • Collaborate with vendors and subcontractors to source competitive pricing., • Develop bid proposals, ensuring all required documentation is submitted on time., • Partner with sales and project management teams to ensure seamless project handoffs., • Maintain an up-to-date pricing database., • Keep current with changes in industry codes, technology advancements, and competitive practices. Qualifications • Minimum 5 years of experience estimating in the fire alarm and/or security/low voltage field., • Education BA Business/ BS Engineering/MS Engineering or applicable amount of experience in the appropriate field may be substituted for the educational background, • Strong understanding of relevant codes, including NFPA and NEC., • Ability to read and interpret detailed construction drawings and scope documentation., • Experience working with major manufacturers (e.g., Silent Knight, Firelite, Bosch, Hanwha, Avigilon, Axis, Genetec, Lenel, and others)., • High level of organization and accuracy with strong attention to detail., • Excellent communication and time management skills., • NICET Certification- Fire Alarm Systems Level III or higher, preferred., • Computer skills to include:, • MS Office, • Acrobat, • Visio, • DWG Writer, • Big Machines, • SalesForce ESSENTIAL FUNCTIONS • Product selection and application (to ensure the right product is used in the right application) while maintaining adherence to Securitas’s product selection process and design standards., • Estimate installation costs in conjunction with Implementation Operations, Service Operations, Internal Labor and External Labor, • Review of Field Site Survey documents and drawings., • Supports the RFI, RFP, RFQ and RFM&S process as needed, • Create estimates and budgets for access control, intrusion, CCTV, intercom, PSIM, PLC and structured cabling systems, • Review architectural, electrical, telecommunication, security engineering floor plans, riser drawings, device schedules, detail drawings, interconnect and closet layout drawings., • Interpret specifications, addendums, revisions, sketches and Scope of work., • Work with project managers and design engineers for creating change orders on existing and ongoing projects., • Manage assigned projects and maintain deadlines for each project., • Build and maintain a good relationship with coworkers, suppliers and manufacturers., • Create a detailed list of clarifications, exclusions & compliance on a per project basis, • Knowledge of construction schedules, project meetings and how they pertain and impact the project., • Able to research product information utilizing the internet, • Excellent working knowledge of construction industry conventions, • Good understanding of workload and the requirements to maintain commitments., • Ability to navigate high value job environment for time lines, and compliance requirements, • Firm grasp of the competitive environment and strategic plays by competitors, • Excellent command and knowledge of building code requirements Securitas Technology Offers Comprehensive Benefits Including • Opportunity for annual merit pay increases, • Paid company training, • Medical, Dental, Vision, Life, Critical Illness, and Hospital Indemnity Coverage, • Company Paid Short Term and Long-Term Disability, • 401K with 60% Match up to 6% of salary, • Paid vacation, holiday, and sick time, • Educational Assistance, • Exceptional growth opportunities, • Wide variety of employee discounts on travel, equipment, and more! We are a nationwide provider of security solutions and an equal opportunity employer committed to a diverse workforce. Our core values of Integrity, Vigilance and Helpfulness are proudly demonstrated daily by our employees to our customers and the communities we service.

Securitas Technology, part of Securitas, is a world-leading provider of integrated security solutions that protect, connect and optimize businesses of all types and sizes. More than 13,000 colleagues in 40 countries are focused daily on our purpose to help make your world a safer place and our commitment to deliver an unparalleled client experience. With clients at the heart of all we do, our people, knowledge and technology power our connected ecosystem of health, safety and security solutions and services. POSITION SUMMARY As a Sr. Applications Engineer, you will need to formulate an engineered estimate and or budget for new and existing clients that shall be provided by consultants, engineers, construction managers, and general contractors and also from in-house Sales Representatives, Key Account Representatives and or Project Managers. ORGANIZATIONAL RELATIONSHIPS • Interface with Account Mangers, Support Services, Implementation Coordinators, Project Managers and Proposal Support Department on a regular basis., • Interface with Customers, Manufacturer’s Representatives, Manufacturer’s Technical staff, Distribution Suppliers and Supply Vendors on a regular basis., • Interface with area and senior leadership to develop a win strategy and evaluate the dynamics of projects., • Work with fellow application engineers providing guidance and or design aid in projects and products that are unfamiliar to them. SCOPE OF RESPONSIBILITY • Develop project requirements from interviews, customer provided scope of work, site surveys, specification, pricing sheets and drawing reviews., • Develop and provide detailed equipment list, electrical requirements, installation requirements and costing for turn-key security system solutions., • Configure and quote proprietary Pre Fabrication of applicable access control, CCTV and other systems ESSENTIAL FUNCTIONS • Product selection and application (to ensure the right product is used in the right application) while maintaining adherence to Securitas’s product selection process and design standards., • Estimate installation costs in conjunction with Implementation Operations, Service Operations, Internal Labor and External Labor, • Review of Field Site Survey documents and drawings., • Supports the RFI, RFP, RFQ and RFM&S process as needed, • Create estimates and budgets for access control, intrusion, cctv, intercom, PSIM, PLC and structured cabling systems, • Review architectural, electrical, telecommunication, security engineering floor plans, riser drawings, device schedules, detail drawings, interconnect and closet layout drawings., • Interpret specifications, addendums, revisions, sketches and Scope of work., • Work with project managers and design engineers for creating change orders on existing and ongoing projects., • Manage assigned projects and maintain deadlines for each project., • Build and maintain a good relationship with coworkers, suppliers and manufacturers., • Create a detailed list of clarifications, exclusions & compliance on a per project basis, • Knowledge of construction schedules, project meetings and how they pertain and impact the project., • Able to research product information utilizing the internet, • Excellent working knowledge of construction industry conventions, • Good understanding of work load and the requirements to maintain commitments., • Ability to assemble all cost aspects of a project, • Ability to recognize strategic and competitive issues, • Ability to challenge labor bids from subs for various labor categories including IBEW, • Ability to navigate high value job environment for time lines, and compliance requirements, • Firm grasp of the competitive environment and strategic plays by competitors, • Excellent command and knowledge of building code requirements ADDITIONAL RESPONSIBILITIES • Be prompt, reliable, and on time in all aspects of your engagement while maintaining a high level of attention to detail and accuracy., • Perform any additional duties as required or assigned Minimum Requirements: SPECIAL KNOWLEDGE, SKILLS AND ABILITIES • Experience 5-7 Years, • Education BA Business/ BS Engineering/MS Engineering, • Applicable amount of experience in the appropriate field may be substituted for the educational background, • Thorough understanding of electronic security systems, their individual parts, and the onsite labor necessary to complete an installation., • Ability to read and understand written specifications, drawings and controlling documents., • Computer skills to include:, • MS Office, • Acrobat, • Visio, • DWG Writer, • Big Machines, • Sales Force dot com, • Good communication skills, • Ability to procure subcontractor pricing, • Ability to level bids from multiple subcontractors, • Excellent working knowledge of construction industry conventions, • Good understanding of work load and the requirements to maintain commitments., • Ability to assemble all cost aspects of a project, • Ability to recognize strategic and competitive issues, • Ability to challenge labor bids from subs for various labor categories including IBEW, • Ability to navigate high value job environment for time lines, and compliance requirements, • Ability to assemble all cost aspects of a project, • Ability to recognize strategic and competitive issues, • Firm grasp of the competitive environment and strategic plays by competitors, • Excellent command and knowledge of building code requirements We are a nationwide provider of security solutions and an equal opportunity employer committed to a diverse workforce. Our core values of Integrity, Vigilance and Helpfulness are proudly demonstrated daily by our employees to our customers and the communities we service.

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n 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. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Director, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams\n, • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems\n, • Lead large-scale ML initiatives with the customer in mind\n, • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale\n, • Optimize data pipelines to feed ML models\n, • Use programming languages like Python, Scala, or Java\n, • Evangelize best practices in all aspects of the engineering and modeling lifecycles\n, • Recruit, nurture, and retain top engineering talent\n, • Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers\n, • Recruit, nurture, and retain top engineering talent\n, • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 3 years of people leadership experience\n, • At least 8 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience managing and leading an engineering team\n, • 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • Ability to communicate complex technical concepts clearly to a variety of audiences\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n, • Experience hiring and developing high-performing ML engineers with an inspiring leadership style \n, • Highly developed interpersonal, presentation, and communications skills\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer\n \n New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Urgent Care Physician (Family Medicine or Emergency Medicine) \n Full-Time and Part-Time Opportunities Available \n Location: Downtown Brooklyn, NY \n Schedule: Includes weekdays, evenings, weekends, and holidays as needed \n Reports To: Chief Medical Officer (CMO) \n \n Join a provider-led urgent care practice where teamwork, compassion, and quality patient care come first. Our owner is an active healthcare provider who understands the challenges of front-line clinical work and is committed to creating a supportive environment where employees can learn, grow, and make a meaningful difference in their community. This is an opportunity to work in a collaborative setting where your contributions are valued and your development is encouraged. \n \n POSITION OVERVIEW \n We are seeking a patient-focused Urgent Care Physician with experience in Emergency Medicine, Family Medicine, or Urgent Care Medicine to join our growing urgent care team. This role is ideal for a clinician who thrives in a fast-paced environment, values clinical excellence, and is committed to delivering exceptional care to patients of all ages. \n The ideal candidate is comfortable evaluating and treating a broad range of acute illnesses and injuries, performing common urgent care procedures, and collaborating with advanced practice providers and clinical support staff to ensure an outstanding patient experience. \n \n KEY RESPONSIBILITIES \n Patient Care \n\n • Evaluate, diagnose, and treat patients presenting with acute illnesses and injuries.\n, • Provide evidence-based, patient-centered care for both pediatric and adult populations.\n, • Order, interpret, and review laboratory tests, diagnostic imaging, and other studies.\n, • Develop treatment plans and provide patient education, follow-up recommendations, and referrals as appropriate.\n, • Document all patient encounters accurately and timely within the EMR.\n\n \n Clinical Procedures \n\n • Perform common urgent care procedures, including wound repair, incision and drainage, foreign body removal, splinting, and joint injections as appropriate.\n, • Interpret X-rays and other diagnostic studies within scope of practice.\n, • Manage occupational health, workers' compensation, and preventive health services as applicable.\n\n \n Team Collaboration & Leadership \n\n • Collaborate with Nurse Practitioners, Physician Assistants, Radiologic Technologists, Medical Assistants, and administrative staff to support efficient patient flow.\n, • Serve as a clinical resource and mentor for support staff and advanced practice providers.\n, • Participate in quality improvement, compliance, and patient safety initiatives.\n, • Maintain compliance with all organizational policies and applicable regulatory requirements.\n\n \n QUALIFICATIONS \n Required \n\n • Doctor of Medicine (MD) from an accredited institution.\n, • Current, unrestricted New York State medical license.\n, • Board Certified or Board Eligible in Emergency Medicine or Family Medicine.\n, • Current DEA registration and controlled substance prescribing authority.\n, • Current BLS certification.\n, • Current PALS (Pediatric Advanced Life Support) certification or equivalent pediatric competency certification.\n, • Minimum two (2) years of post-residency clinical experience preferred.\n, • Experience treating pediatric and adult patients in an urgent care, emergency department, family practice, or similar setting.\n, • Strong clinical judgment, communication, and patient care skills.\n, • Proficiency with EMR/EHR systems.\n\n \n Preferred \n\n • Urgent care experience.\n, • Current ACLS certification.\n, • Occupational medicine or workers' compensation experience.\n, • Bilingual skills.\n\n \n PHYSICAL REQUIREMENTS \n\n • Ability to stand and walk for extended periods.\n, • Ability to perform medical procedures requiring manual dexterity.\n, • Ability to respond quickly to urgent and emergent patient situations.\n, • Ability to wear required PPE and work in a fast-paced clinical environment.\n\n \n Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the position. \n \n COMPENSATION & BENEFITS \n\n • Pay Range: $120.00 - 140.00 per hour (commensurate with experience, qualifications, certifications, and other job-related factors)\n, • Health, dental, and vision insurance\n, • Paid time off (PTO)\n, • Paid holidays\n, • Bonus Potential\n, • Continuing education opportunities\n, • Professional growth and advancement opportunities\n\n \n ADDITIONAL INFORMATION \n This job posting is intended to provide a general overview of the position and is not intended to be an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the role. Employees may be required to perform other duties as assigned, provided such duties are reasonably related to the position, operational needs of the organization, and consistent with applicable federal, New York State, and local laws. \n \n A complete job description outlining the essential functions, responsibilities, qualifications, physical requirements, and performance expectations of the position will be provided during the hiring process and upon offer of employment. Job duties and responsibilities may be modified from time to time based on business needs and in accordance with applicable law. \n \n Nothing contained in this posting or any subsequent job description is intended to create an employment contract or guarantee of employment. Employment, if offered, will be on an at-will basis, meaning either the employee or the employer may terminate the employment relationship at any time, with or without cause or notice, subject to applicable law. \n \n Equal Employment Opportunity \n We are an Equal Opportunity Employer and are committed to fostering a diverse and inclusive workplace. Employment decisions are made without regard to race, color, religion, creed, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or expression, age, national origin, citizenship or immigration status, disability, genetic information, marital status, military status, veteran status, domestic violence victim status, caregiver status, or any other characteristic protected by applicable federal, New York State, or local law.

Senior Software Development Engineer \n \n Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. \n \n Please visit Fractal | Intelligence for Imagination for more information about Fractal. \n \n Location: New York City, NY (On-site) \n \n Note: This position is not eligible for Immigration Sponsorship at this time. \n \n Role Overview: \n We are seeking a Senior Software Development Engineer to design, develop, and deploy scalable, AI-driven enterprise applications that enable advanced analytics and business decision-making. The ideal candidate will have strong experience in full-stack software development, data integration, and cloud-based application deployment, with expertise in Python, JavaScript, and modern web frameworks such as React, Angular, or Vue. \n \n Key Responsibilities: \n\n • Lead the design, development, and deployment of scalable, AI-driven enterprise applications.\n, • Develop robust data pipelines and ETL processes to support advanced analytics and business intelligence initiatives.\n, • Integrate complex systems using SQL and NoSQL databases.\n, • Optimize application performance and ensure scalability, reliability, and maintainability.\n, • Automate operational workflows through scripting and scheduling tools.\n, • Collaborate closely with clients and cross-functional teams to provide technical leadership and drive solution architecture.\n, • Ensure code quality through CI/CD practices and version control processes.\n, • Maintain comprehensive technical documentation throughout the software development lifecycle.\n, • Leverage emerging AI technologies to enhance application capabilities and business outcomes.\n, • Deliver high-quality software solutions on cloud platforms such as AWS, Azure, or GCP.\n, • Participate in Agile development processes and contribute to continuous improvement initiatives.\n\n \n Qualifications & Skills: \n\n • Strong experience in full-stack software development.\n, • Expertise in Python and JavaScript.\n, • Hands-on experience with modern web frameworks such as React, Angular, or Vue.\n, • Experience in building and maintaining data integration solutions, data pipelines, and ETL processes.\n, • Proficiency in SQL and NoSQL databases.\n, • Experience with cloud-based application deployment on AWS, Azure, or GCP.\n, • Strong understanding of CI/CD pipelines and version control systems.\n, • Solid foundation in data structures and algorithms.\n, • Strong problem-solving and analytical skills.\n, • Experience working in Agile environments.\n, • Ability to collaborate effectively with clients and cross-functional teams.\n, • Strong technical leadership and solution architecture capabilities.\n, • Excellent documentation and communication skills.\n\n \n Preferred Qualification: \n\n • Experience on the C3 AI platform is preferred.\n\n \n Pay: \n The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $120,000 to $160,000. In addition, you may be eligible for a discretionary bonus for the current performance period. \n \n Benefits: \n As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. \n \n Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. \n

Solution Architect (Insurance - Group Benefits) Direct Hire Hybrid (NY/NJ/CT/PA) Seeking a Solution Architect to support a Group Benefits platform. This role is urgent and will prioritize candidates with recent, hands-on insurance domain experience and a proven track record architecting large-scale, business-critical systems in the insurance space—ideally tied to group benefits products and platforms.\n \n Work Location (Hybrid): 3 days/week onsite in New York, NY; Holmdel, NJ; Bethlehem, PA; or Stamford, CT\n \n Key Responsibilities \n\n • Own product/team-level solution architecture and delivery architecture for a value stream supporting a Group Benefits insurance platform.\n, • Drive architecture & technology alignment—ensuring solutions map to business capabilities, product priorities, and platform direction.\n, • Design and document end-to-end solution architectures including application, integration, data, and infrastructure components.\n, • Partner with Product Owners and Tech Leads to align roadmaps, MVP scope, sequencing, and technical tradeoffs.\n, • Apply and enforce architecture standards, security requirements, and approved design patterns.\n, • Collaborate with architecture and platform teams to reuse enterprise capabilities and reduce duplication.\n, • Identify, manage, and help remove technical dependencies/impediments impacting delivery timelines.\n, • Provide hands-on guidance to teams on design quality, code structure, and implementation approaches.\n, • Lead proofs-of-concept for new capabilities; influence technology strategy, standards, and solution direction.\n, • Mentor engineers on architecture principles, design decisions, and problem-solving methods.\n, • Continuously improve platform design by reducing technical debt and simplifying solutions for scalability and delivery speed.\n, • Be available as needed for major production incidents impacting business operations. \nRequired Qualifications \n\n • Insurance domain experience is mandatory. Preference for Group Benefits (e.g., Life, Disability, Absence Management, Supplemental Health) platforms. \n\n\n • Strong experience designing and delivering enterprise-scale solutions in complex environments.\n, • Demonstrated ability to architect systems that support high availability, resiliency, scalability, and operational excellence.\n, • Proven track record operating and evolving large-scale, business-critical systems within the insurance domain.\n, • \n Working knowledge of: \n \n • Cloud platforms and services (public cloud + on-prem / hybrid)\n, • APIs, integration patterns, and data integration\n, • Modern application architecture approaches (service-based architectures, event-driven patterns, etc.)\n \n, • Experience working within Agile / product-based delivery models.\n, • Ability to balance speed, quality, risk, and long-term sustainability in technical decisions.\n, • Strong communication skills—able to translate technical concepts for product, engineering, and business stakeholders.\n, • Experience producing product-level and team-level design documentation.\n, • Familiarity with GenAI frameworks/tools and best practices (nice-to-have but valued \nWork Authorization \n\n • Must be authorized to work in the United States. No sponsorship available. \nEstimated Min Rate: $126000.00\n Estimated Max Rate: $180000.00\n \n What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:\n \n \n\n • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)\n, • Health Savings Account (HSA) (for employees working 20+ hours per week)\n, • Life & Disability Insurance (for employees working 20+ hours per week)\n, • MetLife Voluntary Benefits\n, • Employee Assistance Program (EAP)\n, • 401K Retirement Savings Plan\n, • Direct Deposit & weekly epayroll\n, • Referral Bonus Programs\n, • Certification and training opportunities \nNote: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.\n \n \nYoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n \n \nVisit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.\n \n \nFor California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.\n \n \nIt 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.\n \n \nBy applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from an @yoh.com email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.

Machine Learning Engineer 4 - Finance Tech\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Finance Tech is responsible for transforming Capital One's financial engine into the most trusted, nimble, and insightful in the industry. Our core mission is to engineer outcomes that strategically enable the Finance organization and the broader Enterprise to remain efficient. This mission is driven by four technical and functional pillars: Forecasting & Resiliency, providing advanced decision support; Treasury & Trade managing sophisticated cash and investment lifecycles; and Accounting & Reporting, ensuring the integrity of our general ledger and regulatory commitments. Powering these pillars are our Data and Core capabilities, which manage the orchestration, sourcing, and pipelines for critical financial data products. \n \n By defining the next generation of financial technology, we ensure that every business process is backed by high fidelity tracking and reporting. Together, we are not just supporting the bottom line - we are building a strategic enabler that operates as a world class financial engine. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Head of Portfolio Architecture, Corporate Functions Direct Hire (Base + Bonus) Work Location (Hybrid): 3 days/week onsite — New York, NY, Holmdel, NJ, or Bethlehem, PA We’re prioritizing candidates with: \n\n • Insurance industry architecture leadership experience\n, • Architecture & technology alignment at portfolio scale (not just solution design)\n, • Strong governance mindset that enables speed, not blocks it\n, • Executive presence and proven ability to influence investment/roadmaps \nKey Responsibilities Portfolio Architecture Leadership \n\n • Drive cohesive architecture across multiple value streams, ensuring end-to-end design consistency across platforms, products, and capabilities.\n, • Own the Corporate Functions target-state architecture, portfolio roadmap, architecture priorities, and investment influence.\n, • Advance modern platform architecture across cloud, data, integration, and AI capabilities.\n, • Improve engineering productivity and delivery speed by defining architecture patterns, guardrails, and operating models that scale.\n, • Partner with Solution Architects to establish scalable patterns and with enterprise architecture leadership for cross-portfolio alignment and trade-offs.\n, • Serve as the primary architecture advisor to the Corporate Functions digital/technology leadership team, shaping strategy, priorities, and transformation sequencing.\n, • Manage and develop a team of Solution Architects; raise architecture maturity across the portfolio.\n, • Be available for high-impact production incidents affecting business operations. \nInvestment & Roadmap Influence \n\n • Shape and influence strategic investments across Corporate Functions (HR, Legal, Finance, Risk, Investments).\n, • Guide architecture across core enterprise platforms such as Workday, Oracle, and ServiceNow, plus integration/API ecosystem enablement.\n, • Balance near-term delivery commitments with long-term sustainability.\n, • Identify opportunities to reduce technical debt, increase reuse, and accelerate time-to-market—driving simplification across business units, not just within the portfolio. \nEnd-to-End Enterprise / Insurance Architecture Ownership \n\n • \n Drive holistic architecture across: \n \n • Business processes and operating value streams\n, • Core and surrounding application ecosystems\n, • Integration and event-driven architectures\n, • AI/ML use cases (e.g., underwriting/claims automation, fraud, personalization)\n, • Digital experiences for customers, distribution partners (agents/brokers), and internal users\n \n, • Ensure solutions meet regulatory, risk, security, privacy, and resiliency requirements (e.g., SOX/SOC expectations, data privacy).\n, • Promote cloud-native, API-first, data-centric, and AI-enabled patterns where appropriate. \nGovernance, Risk & Compliance \n\n • Define/enforce architecture principles and guardrails aligned to enterprise standards and insurance regulatory expectations.\n, • Lead or participate in architecture review and governance forums; ensure decisions are auditable and practical.\n, • Partner with security, risk, compliance, and legal stakeholders to support operational resilience and auditability. \nStakeholder & Leadership Engagement \n\n • Act as a trusted advisor to Corporate Functions leaders and senior technology leadership.\n, • Represent architecture trade-offs in enterprise forums and influence outcomes across business units.\n, • Communicate architectural direction, risks, and trade-offs clearly to technical and non-technical audiences.\n, • Mentor and develop architects across the portfolio. \nRequired Qualifications \n\n • 7+ years in technology/architecture roles, with significant experience in the insurance industry (or similarly regulated financial services with deep insurance exposure).\n, • Proven experience as a Portfolio / Domain / Product / Enterprise Architect in a large, regulated environment.\n, • Deep understanding of insurance operations and systems (policy, underwriting, claims, billing, distribution) and how they connect to enterprise platforms.\n, • Strong knowledge of Corporate Functions ecosystems: HR, Legal, Finance, Risk, Investments.\n, • Expertise across enterprise architecture domains: business, application, data, integration, AI, and digital.\n, • Demonstrated success influencing senior leaders on technology strategy and investment decisions.\n, • Strong knowledge of cloud platforms, modern integration patterns, data platforms, and applied AI capabilities.\n, • Solid grasp of regulatory, risk, compliance, and resiliency expectations in regulated environments. \nEstimated Min Rate: $168000.00\n Estimated Max Rate: $240000.00\n \n What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:\n \n \n\n • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)\n, • Health Savings Account (HSA) (for employees working 20+ hours per week)\n, • Life & Disability Insurance (for employees working 20+ hours per week)\n, • MetLife Voluntary Benefits\n, • Employee Assistance Program (EAP)\n, • 401K Retirement Savings Plan\n, • Direct Deposit & weekly epayroll\n, • Referral Bonus Programs\n, • Certification and training opportunities \nNote: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.\n \n \nYoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n \n \nVisit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.\n \n \nFor California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.\n \n \nIt 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.\n \n \nBy applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from an @yoh.com email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.

Full-Time and Part-Time Openings Available \n High-Acuity Urgent Care Setting \n Location: Downtown Brooklyn, New York City \n Reports To: Chief Medical Officer \n Schedule: May include weekdays, evenings, weekends, and holidays as needed \n \n Join a provider-led urgent care practice where teamwork, compassion, and quality patient care come first. Our owner is an active healthcare provider who understands the challenges of front-line clinical work and is committed to creating a supportive environment where employees can learn, grow, and make a meaningful difference in their community. This is an opportunity to work in a collaborative setting where your contributions are valued and your development is encouraged. \n \n POSITION OVERVIEW \n We are seeking an experienced and compassionate Nurse Practitioner to join our growing urgent care team. The ideal candidate is committed to providing high-quality, patient-centered care and is comfortable evaluating and treating a broad range of acute illnesses and injuries in a fast-paced clinical environment. \n This role is well-suited for a Nurse Practitioner with experience in urgent care, emergency medicine, family practice, or ambulatory care who enjoys collaborative teamwork, independent decision-making, and caring for patients across the lifespan. The successful candidate will be confident managing both adult and pediatric patients while contributing to an exceptional patient experience and efficient clinical operations. \n \n KEY RESPONSIBILITIES \n \n Patient Care \n\n • Evaluate, diagnose, and treat patients presenting with acute illnesses, injuries, and non-life-threatening medical conditions.\n, • Obtain medical histories, perform comprehensive physical examinations, and develop evidence-based treatment plans.\n, • Order, perform, and interpret diagnostic testing, including laboratory studies, EKGs, and X-rays in accordance with practice protocols.\n, • Prescribe medications and treatments within New York State scope of practice regulations.\n, • Provide patient education, discharge instructions, follow-up recommendations, and referrals as appropriate.\n, • Accurately document all patient encounters and clinical decisions within the EMR.\n\n Clinical Procedures \n\n • Perform common urgent care procedures, including wound repair, incision and drainage, foreign body removal, splinting, suture/staple removal, and other procedures within scope of practice.\n, • Assess patients requiring higher levels of care and facilitate appropriate transfers or referrals.\n, • Participate in occupational medicine, workers' compensation, and preventive health services as applicable.\n\n Team Collaboration & Quality Care \n\n • Collaborate with physicians, physician assistants, nurses, radiologic technologists, medical assistants, scribes, and administrative staff to ensure efficient patient flow and quality outcomes.\n, • Serve as a clinical resource and mentor for clinical support staff as appropriate.\n, • Participate in quality improvement, compliance, and patient safety initiatives.\n, • Support a positive, collaborative, and patient-focused culture across the organization.\n\n \n QUALIFICATIONS \n Required \n\n • Graduate of an accredited Nurse Practitioner program.\n, • Current, unrestricted New York State Nurse Practitioner license.\n, • National board certification as a Family Nurse Practitioner (FNP) or another applicable specialty.\n, • Current New York State registration and prescriptive authority.\n, • Current DEA registration (or ability to obtain upon hire).\n, • Current BLS certification.\n, • Current PALS certification or demonstrated pediatric clinical competency.\n, • Minimum two (2) years of experience in urgent care, emergency medicine, ambulatory care, family practice, or a comparable high-volume clinical setting.\n, • Experience treating pediatric and adult patient populations.\n, • Strong clinical assessment, diagnostic, and communication skills.\n, • Proficiency with EMR/EHR systems.\n\n Preferred \n\n • Urgent care or emergency medicine experience.\n, • ACLS certification.\n, • Experience performing common urgent care procedures independently.\n, • Occupational medicine and workers' compensation experience.\n, • Bilingual skills.\n\n \n PHYSICAL REQUIREMENTS \n\n • Ability to stand and walk for extended periods throughout the shift.\n, • Ability to perform clinical procedures requiring manual dexterity.\n, • Ability to lift, assist, and reposition patients when necessary.\n, • Ability to respond quickly to urgent and emergent patient situations.\n, • Ability to wear required PPE and work in a fast-paced healthcare environment.\n\n Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of this position. \n \n COMPENSATION & BENEFITS \n\n • Pay Range: $92.00 -110.00 per hour (commensurate with experience, qualifications, certifications, and other job-related factors)\n, • Health, dental, and vision insurance\n, • Paid time off (PTO)\n, • Paid holidays\n, • Bonus Potential\n, • Continuing education opportunities\n, • Professional growth and advancement opportunities\n\n \n ADDITIONAL INFORMATION \n This job posting is intended to provide a general overview of the position and is not intended to be an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the role. Employees may be required to perform other duties as assigned, provided such duties are reasonably related to the position, operational needs of the organization, and consistent with applicable federal, New York State, and local laws. \n A complete job description outlining the essential functions, responsibilities, qualifications, physical requirements, and performance expectations of the position will be provided during the hiring process and upon offer of employment. Job duties and responsibilities may be modified from time to time based on business needs and in accordance with applicable law. \n Nothing contained in this posting or any subsequent job description is intended to create an employment contract or guarantee of employment. Employment, if offered, will be on an at-will basis, meaning either the employee or the employer may terminate the employment relationship at any time, with or without cause or notice, subject to applicable law. \n Equal Employment Opportunity \n We are an Equal Opportunity Employer and are committed to fostering a diverse and inclusive workplace. Employment decisions are made without regard to race, color, religion, creed, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or expression, age, national origin, citizenship or immigration status, disability, genetic information, marital status, military status, veteran status, domestic violence victim status, caregiver status, or any other characteristic protected by applicable federal, New York State, or local law. \n

AI Engineer 3 (AI Foundations)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics\n, • Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments\n, • Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies\n, • Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets\n, • Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies\n, • At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost)\n, • Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows\n, • Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n R1005255 AI Engineer 3 (AI Foundations) \n \n 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. \n McLean, VA: $161,800 - $184,600 for AI Engineer 3\n \n New York, NY: $176,500 - $201,400 for AI Engineer 3\n \n San Jose, CA: $176,500 - $201,400 for AI Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 5 (AI Foundations: Evaluation and Agentic Workflows)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • 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\n, • 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\n, • 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\n, • 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\n, • 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\n, • Has a deep understanding of the foundations of AI methodologies\n, • 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.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • 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\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • 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\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • Behavioral Models\n \n, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)\n, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n, • Worked on scaling graph models to greater than 50m nodes \n, • Experience with large scale deep learning based recommender systems \n, • Experience with production real-time and streaming environments \n, • Contributions to common open source frameworks (pytorch-geometric, DGL) \n, • Proposed new methods for inference or representation learning on graphs or sequences \n, • Worked datasets with 100m+ users\n \n, • Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Summary Under minimal supervision, set up, adjust, perform preventative maintenance, troubleshoot, repair, and maintain assigned equipment with responsibility for production and quality. Job Description Responsibilities: Perform preventive maintenance, routine inspections, and ad-hoc repairs on assigned conveyors, automation, robotics and ancillary equipment as needed Perform routine troubleshooting of assigned out of service equipment and correct issues, act as an escalation point for lower level technicians, and escalate to leadership and/or more senior technicians as needed. Record all maintenance issues in maintenance log for each line. Document all work in the computerized maintenance management system (CMMS) and ticketing systems as appropriate and maintain accurate records of all operating logs for fire pumps, generators, HVAC equipment, and other facility systems that are tested on a routine basis. Mentor all maintenance personnel in developing appropriate skillsets and knowledge of equipment. Assist maintenance mechanics in work that requires two people or when operational needs demand. Perform facility/building project work as assigned. Tasks include, but are not limited to, light bulb/ballast replacement, door repairs, furniture installation, ceiling tile replacement, carpentry duties, plumbing repairs and maintaining operation logs. Assemble and test equipment to verify correct operation and production. Analyze and record cause of production delays on daily production reports and initiate procedures to solve equipment malfunctions. Examine defects and analyze spoilage causes and, where possible, take corrective action and verify the corrective action has eliminated the problems. Ability to certify on all industrial lift equipment. Pickers, Reaches, Skates, Booms, Scissor lifts, etc. Oversee projects as assigned. Projects will include minor space renovations, inventory management, contractor oversight, and building efficiency improvements. Oversee, inspect, and monitor the routine maintenance provided by junior engineers. Will also provide guidance and training as needed. Required Experience: Education High school diploma or equivalent Work Experience 5 years of experience with conveyor, automation, or robotics equipment repair and maintenance Preferred Qualifications: Associates Degree in Mechatronics, Electrical Engineering Technology, Mechanical Engineering Technology, HVAC, or equivalent. Graduate of an apprenticeship program or hold current trade certification. Fundamental understanding of machinery/equipment Basic skill level in multiple computer software packages including Microsoft Excel Experience working with inputs, outputs, and PLC logic systems and ability to troubleshoot these systems - Willing to travel at least/up to 10% of the time for business purposes (within state and out of state). Must be willing to learn new equipment as it is brought on-line. Physical activities necessary to perform one or more essential functions of the position. Ability to bend, twist, reach, push, lift for extended periods daily Frequently move, lift, carry supplies/equipment up to 50 lbs and may have to occasionally lift up to 75 lbs Must be able to stand for minimum of 8 hours and up to 12 hours for up to 6 days a week Ability to continuously ascend and descend from ladders and stairs, work at heights and/or from a ladder, work from a lying down position, work with your hands above your head Willing to operate material handling equipment (i.e. fork truck). - Write documents and reports using writing instruments and computers Read information, often in small print (drawings) - Follow appropriate safety procedures such as Lock Out/Tag Out, Arc Flash, etc. and use Personal Protective Equipment (PPE) while maintaining equipment, and ensure a safe work environment by eliminating potential equipment safety hazards Ability to work overtime and must be available for on-call requests as needed Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $33.25 - $48.25 Hourly The actual salary will vary based on applicant’s location, education, experience, skills, and abilities. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions, paid time off, as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. For a more comprehensive list of our benefits please click here. We’re dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here. Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

Applied Researcher 5\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • 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\n, • 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\n, • 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\n, • 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\n, • 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\n, • Has a deep understanding of the foundations of AI methodologies\n, • 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.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • 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\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • 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\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • 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)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

End Client: Metropolitan Transportation Authority (MTA) \n Job Title: Senior AI & Cloud Solutions Architect \n Duration: 12 months + Extension \n Location: New York, NY (Hybrid – 3 Days Onsite, 2 Days Remote) \n Number of Hours: 37.5 Hours a week \n Interview Type: Webcam or In-Person \n Ceipal ID: MTAAI122MA \n Job Code: 6122-1 \n \n Scope of Project: \n The MTA is seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. \n \n Responsibilities: \n 1. AI Agentic Architecture \n\n • Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls.\n, • Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers).\n, • Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost.\n\n 1. Integration Architecture \n\n • Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy.\n, • Define integration patterns for legacy, SaaS, and cloud-native systems.\n\n 1. Standards & Architecture COE \n\n • Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures.\n, • Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks.\n, • Define COE and standards-adoption metrics in coordination with AI IT adoption tracking.\n\n 1. Modernization, Security & Collaboration \n\n • Guide application modernization and cloud design on Azure, AWS, and hybrid environments.\n, • Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and MTA security requirements.\n, • Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders.\n\n \n Required/Preferred Skills: \n\n • 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS.\n, • Experience delivering AI/LLM or agentic solutions in an enterprise.\n, • Experience authoring standards and operating an architecture COE or review board.\n, • Strong integration/API expertise and executive-level communication.\n, • Cloud certification and additional relevant certification preferred.\n, • Expertise in agentic AI architecture, multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls.\n, • Experience with enterprise systems and APIs, MCP, and event-driven triggers.\n, • Knowledge of API-led, event-driven, and messaging integration patterns, API lifecycle, and gateway strategy.\n, • Experience with legacy, SaaS, and cloud-native integration.\n, • Experience developing application, integration, API, and AI architecture standards and reference architectures.\n, • Experience establishing and operating an Architecture Center of Excellence (COE), including governance forums, design reviews, training, and playbooks.\n, • Knowledge of Azure, AWS, hybrid cloud environments, NIST AI RMF, CIS, ISO 27001, and enterprise security requirements.\n\n \n V Group Inc. is a NJ-based IT Services and Products Company with its business strategically categorized in various Business Units including Public Sector, Enterprise Solutions, Professional Services, Ecommerce, Projects, and Products. Within Public Sector business unit, we cater IT Professional Services to Federal, State and Local. We have multiple awards/ contracts with 30+ states, including but not limited to NY, CA, FL, GA, MD, MI, NC, OH, OR, CO, CT, TN, PA, TX, VA, NM, VT, and WA. \n If you are considering applying for a position with V Group, or in partnering with us on a position, please feel free to contact me for any questions you may have regarding our services and the advantages we can offer you as a consultant. \n Please share my contact information with others working in Information Technology. \n Website: https://www.vgroupinc.com/publicsector \n LinkedIn: https://www.linkedin.com/company/v-group/ \n Facebook: https://www.facebook.com/VGroupIT \n Twitter: https://www.twitter.com/vgroupinc

Applied Researcher 4\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • 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\n, • 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\n, • 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\n, • 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\n, • 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\n, • Has a deep understanding of the foundations of AI methodologies\n, • 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\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • 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\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • 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\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • 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)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Francisco, CA: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

CAN LIVE ANYWHERE IN THE U.S. \n Atlantic Management Resources is partnering with an established specialty pharmaceutical company to identify an experienced Manager, Product Training – Oncology. \n This is an excellent opportunity for an oncology professional with strong clinical knowledge and product training experience seeking a highly visible role with significant work-from-home flexibility and potential for career advancement. \n The position is approximately 90% remote, with occasional travel for training programs and business meetings. \n Position Overview \n The Manager, Product Training – Oncology will develop and deliver product and clinical training programs for field-based oncology sales teams, with an emphasis on solid tumor cancers. \n The position focuses primarily on product knowledge, clinical education, disease states, and competitive intelligence, rather than traditional sales skills training. \n Working closely with commercial leadership, marketing, and medical teams, this individual will have significant exposure across the organization and opportunities for professional growth and advancement. \n Key Responsibilities \n\n • Develop and deliver oncology product and clinical training programs for new hires and existing sales teams.\n, • Create engaging training materials covering disease states, clinical data, product knowledge, and competitive products.\n, • Lead product training workshops, clinical education sessions, and virtual learning programs.\n, • Translate complex clinical and scientific information into effective educational content.\n, • Collaborate with commercial leadership, marketing, and medical teams to align training with brand objectives.\n, • Update training programs to reflect new clinical data, treatment advances, and competitive developments.\n, • Evaluate training effectiveness and identify opportunities for continued improvement.\n\n Qualifications \n\n • Bachelor’s degree or equivalent relevant professional experience.\n, • 5+ years of pharmaceutical or biotechnology experience, including a strong oncology background.\n, • Experience in oncology product training, clinical education, or pharmaceutical sales with training responsibilities.\n, • Strong understanding of solid tumor oncology, clinical data, and treatment landscapes.\n, • Excellent presentation, communication, and training development skills.\n, • Ability to communicate complex clinical information clearly and effectively.\n, • Experience with virtual training platforms, PowerPoint, and learning management systems.\n\n Why Consider This Opportunity? \n\n • 90% work from home with limited travel.\n, • Highly visible position with exposure to senior commercial leadership.\n, • Opportunity for professional development and future career advancement.\n, • Established specialty pharmaceutical company with a collaborative environment.\n\n Compensation \n\n • Base salary: $150-$190k\n, • Bonus: 16%-20%\n, • Comprehensive Benefit Package\n\n

AI Engineer 4\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Reputable, well established and growing Law Firm with tons of opportunity! We are currently seeking multiple Appeals Specialist or Coordinators. Direct Hire & Fully Remote!! This Jobot Job is hosted by: Ba Tran Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $65,000 - $75,000 per year A bit about us: We are growing exponentially and have been recognized as one of the top companies to work for within our industry! An accomplishment that we are very proud of and can attribute this to our exemplary employees and leadership team. With growth, comes opportunity to continue to really strengthen our infrastructure. We are hiring for several Legal Appeals Specialist and/or Coordinators across the nation. Feel free to apply and speak to us about what opportunities you could be a great match for! Why join us? Competitive Compensation and Benefits Package (M/D/V + 401K + Life Insurance) Bonus eligible position Stable career opportunity Join a well established team who is invested in your growth and success Substantial growth in their business Nationwide Rewarding work and responsibilities Fully Remote, open to PST, CST, and EST Work Hours Job Details We are seeking a detail-driven and experienced Legal Appeals Coordinator / Specialist to join our dynamic Legal Finance team. This critical role combines expertise in legal billing appeals, e-billing compliance, and rate administration. The ideal candidate will be responsible for managing the appeals process for billing rejections or reductions, ensuring accurate implementation of billing rates, and supporting the e-billing function across multiple client platforms. This is a unique opportunity to collaborate with legal professionals, billing teams, and clients, while playing a pivotal role in optimizing revenue recovery and maintaining billing compliance. Key Responsibilities Appeals Management Review and analyze rejected, reduced, or disputed invoice line items submitted through client e-billing platforms. Draft and submit appeal justifications, corrections, or supporting documentation in alignment with client-specific billing guidelines. Track the status of all appeals and follow up to ensure timely resolution and recovery. Collaborate with attorneys and billing teams to understand service context and strengthen appeal arguments. Rate & Compliance Oversight Maintain and update client-specific billing rates, discounts, and fee structures within billing systems. Work closely with client relationship managers and billing attorneys to review rate proposals, changes, and approvals. Ensure rates and timekeeper information are accurately reflected in e-billing platforms and internal systems. Monitor compliance with negotiated billing arrangements and client guidelines. E-Billing Support Serve as a key point of contact for e-billing submissions, ensuring invoices are submitted accurately and on time through platforms like Legal Tracker, CounselLink, Serengeti, and BillBlast. Troubleshoot submission errors, perform audits, and validate successful invoice transmission and acceptance. Assist in onboarding new clients or timekeepers into e-billing systems, including rate setup and mapping. Generate regular reports on invoice status, appeal outcomes, and performance metrics. Qualifications Bachelor's degree in Accounting, Finance, Legal Studies, or a related field preferred. Minimum of 3–5 years of experience in legal billing, appeals coordination, or e-billing administration. Strong knowledge of legal billing practices, rate structures, and client guidelines. Hands-on experience with major e-billing platforms (e.g., Legal Tracker, CounselLink, BillBlast, Aderant, Elite). Excellent attention to detail, organization, and time management. Strong written and verbal communication skills, with a customer service mindset. Ability to analyze data, identify trends, and present solutions proactively. Self-motivated with a collaborative attitude and a commitment to continuous improvement. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Purchase Order Coordinator \n Position Type: Full Time/Onsite \n Salary Range: 50-60K \n Job Department: Frames \n \n ESSENTIAL DUTIES AND RESPONSIBILITIES \n We are seeking an experienced, detail-oriented Purchase Order Coordinator to manage the full purchase order lifecycle and keep style, cost, and order data accurate across our systems. \n\n • Oversee the creation, maintenance, and tracking of purchase orders from issuance through delivery and close-out.\n, • Manage style master data, cost sheets, and PO details (pricing, quantities, delivery dates, terms) in AIMS and related systems.\n, • Serve as the main point of contact for vendors and factories on PO confirmations, revisions, and delivery schedules.\n, • Monitor open orders, flag potential delays or discrepancies, and work with internal teams to resolve issues proactively.\n, • Coordinate with internal teams to keep order and cost information aligned.\n, • Prepare and maintain regular reports on open orders, order status, and key PO metrics.\n, • Identify opportunities to improve PO processes, data quality, and workflow efficiency.\n, • Perform related duties as assigned.\n\n \n COMPETENCIES \n\n • Advanced proficiency in Microsoft Excel (VLOOKUP/XLOOKUP, pivot tables, data validation).\n, • Hands-on experience with purchase order or ERP systems; AIMS experience strongly preferred.\n, • Strong attention to detail with the ability to spot and resolve data discrepancies.\n, • Excellent communication skills for working with vendors and cross-functional teams.\n, • Strong time management and ability to prioritize multiple deadlines.\n, • Ability to guide and support junior team members.\n\n \n EDUCATION AND EXPERIENCE \n Associate’s or Bachelor’s degree in Business, Supply Chain, or a related field preferred. 2+ years of experience in purchase order management, production coordination, or a related role, ideally in apparel or consumer products.

Applied Researcher 4 (AI Foundations: Recommendation Systems)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • 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\n, • 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\n, • 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\n, • 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\n, • 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\n, • Has a deep understanding of the foundations of AI methodologies\n, • 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\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • 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\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • 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\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • 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)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • 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\n, • 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\n, • 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\n, • 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\n, • 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\n, • Has a deep understanding of the foundations of AI methodologies\n, • 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\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • 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\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • 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\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • 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)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n 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. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

ABOUT THE PHOENIX GROUP ADVISORS \n The Phoenix Group Advisors (TPG) is a New York-based staffing and recruiting firm serving clients across Technology and Professional Services (Legal & Administrative). Our recruiters place high-caliber talent for financial services, BigLaw, fintech, and technology employers across the most competitive markets in the country. As we grow, we're adding a dedicated Business Development Manager to drive the top of our funnel: new clients and new job orders. \n \n ROLE OVERVIEW \n This is a pure hunting role. The Business Development Specialist is solely responsible for generating new client relationships and new job requisitions for TPG's recruiting teams — this role does not carry a candidate desk or delivery responsibilities. You will be the tip of the spear for firm growth, opening doors with hiring managers, HR leaders, and talent acquisition teams, and handing off qualified job orders to our Technology and Professional Services recruiting practices \n \n KEY RESPONSIBILITIES \n\n • Prospect and generate new client relationships across Technology and Professional Services (Legal & Administrative) target markets through outbound calling, email campaigns, LinkedIn/social outreach, and networking.\n, • Identify and qualify companies with active or upcoming hiring needs; convert prospects into signed client agreements\n, • Secure new job requisitions from both new and dormant/former TPG clients, expanding job order volume across the desk\n, • Run a consistent, high-volume outbound cadence (calls, emails, meetings) against weekly and monthly new-business targets\n, • Conduct client intake and needs-assessment calls to scope job requirements, then hand off qualified reqs to the appropriate recruiting team with a clean, actionable brief\n, • Build and maintain a pipeline of target accounts and decision-makers in CRM, tracking outreach, meetings, signed agreements, and job order volume\n, • Represent TPG in client-facing meetings, pitches, and industry networking events; own the case studies and pitch materials used in the sales process\n, • Negotiate fee agreements and terms of business with new clients in line with firm standards\n, • Partner closely with recruiting leadership to align new business efforts with practice capacity and market deman\n, • Maintain accurate forecasting and reporting on new-business activity and pipeline health\n\n \n WHAT YOU BRING \n\n • 2+ years of experience in business development, sales, or client-facing new-business roles — staffing/recruiting industry experience strongly preferred\n, • Track record of hitting or exceeding new-business or sales targets in a metrics-driven environment\n, • Strong cold-outreach skills: comfortable with high call/email volume and consistent pipeline-building activity\n, • Excellent verbal and written communication; polished and credible in front of HR leaders, hiring managers, and executives\n, • Familiarity with the Technology and/or Legal & Administrative staffing markets in the NYC area is a plus\n, • Comfortable working in CRM systems to track outreach, pipeline, and job order flow\n, • Self-starter who thrives on autonomy, competition, and being measured on new logos and new job orders opened\n\n \n The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment

Machine Learning Engineer 4 - Manager IC\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One—ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.\n, • 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.\n, • 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).\n, • 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n 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. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Please send current resumes directly to rekhuram.chhetri@yoh.com\n \nRekhu Chhetri, Sr. Recruiter - YOH-Day & Zimmerman Inc. \n \nLinkedIn profile: https://www.linkedin.com/in/rekhu-chhetri-126ab97/\n \n Senior Investment Systems Analyst - Hybrid - 3 days onsite in Jersey City NJ \n\n • MUST HAVE experience analyzing, documenting, and supporting integrations between applications, systems, and platforms, with a focus on data movement, orchestration, and workflow execution.\n, • Financial Services - preferably within financial services, private banking, or investment management.\n, • Data Centric/Data analysis\n, • Be able to look at data from one source and be able to do data mapping and analysis, compare data\n, • Experience w/ SQL\n, • Able to read PLSQL coding\n, • Excel Experience\n, • Analysis of data from context\n, • Migrating and integrating data, being able to find out how data goes in and out\n, • Experience with accounting data (lots, positions, transactions, etc.)\n, • Financial Services - preferably within financial services, private banking, or investment management \n Senior Systems Technical Analyst (Integration Focus) # 71848:\n \n We are seeking a Senior Systems Technical Analyst with a strong focus on application, system, and platform integrations to join our Capital Partners Technology team. This role serves as a key liaison between business stakeholders and technical teams, translating business needs into well-defined technical and integration requirements that support scalable, reliable solutions.\n \n \n The ideal candidate brings deep experience analyzing system-to-system data flows, documenting integration patterns, and supporting complex workflows across multiple platforms. The role has a primary emphasis within the Business Process Management (BPM) space and requires close collaboration with developers, architects, project managers, and business partners across the full systems development lifecycle. Experience with SEI platforms, including SEI SWP Accounting, is beneficial but not required.\n \n \n Key Responsibilities:\n \n \n\n • Analyze, document, and support integrations between applications, systems, and platforms, with a focus on data movement, orchestration, and workflow execution.\n, • Define and document functional and technical requirements, including integration specifications, data mappings, and interface designs.\n, • \n Document and support multiple integration patterns, including: \n \n • API-based integrations\n, • Batch and data loader file integrations\n, • Direct ODBC and database-driven integrations\n, • Point-to-point and middleware-based interfaces\n \n, • Serve as an analyst within the BPM ecosystem, supporting workflow design, process modeling, and system interaction across upstream and downstream dependencies.\n, • Develop a working understanding of orchestration tools (e.g., Airflow), including scheduling, dependencies, monitoring, and error handling.\n, • Collaborate with business stakeholders to clarify requirements and translate them into actionable technical designs for development teams.\n, • Partner with developers and QA teams to support integration testing, validate data flows, and confirm expected outcomes across environments.\n, • Support troubleshooting and root-cause analysis of integration and data issues in lower and production environments.\n, • Maintain clear, accurate documentation including methodology documents, workflows, and issue logs.\n, • Contribute to continuous improvement of analysis and delivery practices. \nQualifications:\n \n \n\n • 7+ years of experience as a Systems Analyst, Technical Analyst, or similar role, preferably within financial services, private banking, or investment management.\n, • Strong experience analyzing and documenting system integrations and end-to-end data flows.\n, • Demonstrated ability to translate business requirements into technical specifications and integration designs.\n, • Hands-on experience or strong familiarity with APIs, file-based integrations, relational databases, and SQL.\n, • Experience working in iterative or Agile development environments and supporting integration and SIT/UAT testing.\n, • Strong communication skills with the ability to effectively engage both technical and non-technical audiences.\n, • Proficiency with standard documentation and productivity tools (e.g., Microsoft Office, Confluence, Jira, qTest).\n, • Ability to learn new platforms, tools, and technologies quickly and apply them effectively. \n Preferred (Not Required)\n \n \n\n • Experience with SEI platforms, including SEI SWP Accounting.\n, • Exposure to BPM tools and workflow-driven systems.\n, • Familiarity with Airflow or similar orchestration and scheduling tools. \nEstimated Min Rate: $65.00\n \n Estimated Max Rate: $75.00\n \n What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:\n \n \n\n • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)\n, • Health Savings Account (HSA) (for employees working 20+ hours per week)\n, • Life & Disability Insurance (for employees working 20+ hours per week)\n, • MetLife Voluntary Benefits\n, • Employee Assistance Program (EAP)\n, • 401K Retirement Savings Plan\n, • Direct Deposit & weekly epayroll\n, • Referral Bonus Programs\n, • Certification and training opportunities \nNote: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.\n \n \nYoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n \n \nVisit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.\n \n \nFor California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.\n \n \nIt 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.\n \n \nBy applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from an @yoh.com email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.

B. Braun Medical, Inc.\n \n \n Company: B. BRAUN MEDICAL (US) INC\n Job Posting Location: Brooklyn, New York, United States, Hartford, Connecticut, United States, Long Island, New York, United States, Manhattan, New York, United States\n Functional Area: Sales\n Working Model: Remote\n Days of Work: Friday, Thursday, Wednesday, Tuesday, Monday\n Shift: 5X8\n Relocation Available: No\n Requisition ID: 14720\n \n \n B. Braun Medical Inc., a leader in infusion therapy and pain management, develops, manufactures, and markets innovative medical products and services to the healthcare industry. Other key product areas include nutrition, pharmacy admixture and compounding, ostomy and wound care, and dialysis. The company is committed to eliminating preventable treatment errors and enhancing patient, clinician and environmental safety. B. Braun Medical is headquartered in Bethlehem, Pa., and is part of the B. Braun Group of Companies in the U.S., which includes B. Braun Interventional Systems, Aesculap® and CAPS®. \n Globally, the B. Braun Group of Companies employs more than 64,000 employees in 64 countries. Guided by its Sharing Expertise® philosophy, B. Braun continuously exchanges knowledge with customers, partners and clinicians to address the critical issues of improving care and lowering costs. To learn more about B. Braun Medical, visit www.bbraunusa.com \n \n \n Position Summary: The ideal candidate will be based in or near Manhattan, Brooklyn, Long Island, NY, or Hartford, CT. \n \n\n The Clinical Success Director serves as a strategic clinical leader and partner to the Director of Health Care Systems, driving customer value through strong executive relationships, clinical expertise, and data-driven strategy. This role ensures long-term customer success by aligning clinical initiatives with business objectives and advancing innovative solutions across health systems.\n\n \n Responsibilities: Essential Duties \n\n • Strategically partners with the Director of Health Care Systems to build strong customer clinical relationships, demonstrate and create value with customer executive stakeholders and ensures long term success.\n, • Participates with internal multidisciplinary teams to improve the operational effectiveness of our Clinical Services Team.\n, • Leads and participates in the creation of new clinical value materials to help improve the performance of our team and customer satisfaction.\n, • Develops and fosters positive working relationships with key customers in an effort to support networking, presentations, publications and sharing of B. Braun success stories.\n, • Continuously innovates on customer support based on internal and external feedback.\n, • Develops clinical strategic plans, analyzes data and trends to set, modify and execute on strategies\n, • Gains input and trend information from major clinical groups through direct contact with such groups, organizations and other vendors.\n, • Remains current with market trend information and competitive landscape.\n, • Leads annual strategic corporate account clinical reviews to discuss, SWOT and business plan 1 year and 3 years out.\n, • Demonstrates fiscal responsibility with allocated budgets and resources.\n, • Gains input and trend information from major clinical groups through direct contact with such groups, organizations and other vendors. .\n, • Maintain key relationships with internal B. Braun departments (i.e., Sales, Marketing, Technical Services, Customer Service, etc.)\n\n The job function listed is not exhaustive and shall also include any responsibilities as assigned by the Supervisor from time to time. \n \n Limit of Authorization/Authority: \n Please refer to the Corporate Guidelines or BBMUS Guidelines or job specific authorities where applicable. This list is however not exhaustive and may be amended by the Management from time to time. \n \n Expertise: Qualifications -Education/Experience/Training/Etc \n \n Required: \n\n • \n \n Bachelor’s degree.\n \n, • \n \n Active Registered Nurse (RN) license.\n \n, • \n \n 12+ years of clinical or healthcare industry experience.\n \n, • 6+ years of people management experience.\n, • \n \n Advanced knowledge of clinical practices and healthcare systems.\n \n, • Proven ability to present at an executive level, including publications, podium presentations, or similar.\n, • \n \n Proven ability to influence decision-making and solve complex problems.\n \n, • \n \n Strong analytical, communication, and relationship-building skills.\n \n, • \n \n Willingness to travel frequently.\n \n, • \n \n Valid driver’s license and passport.\n \n, • \n \n Flexibility to work non-standard hours as business needs require.\n \n\n Preferred: \n\n • Master's degree preferred.\n, • Relevant clinical or industry certifications.\n\n \n Additional Information: \n\n • Works independently with general direction and uses sound judgment to achieve goals.\n, • May mentor or provide guidance to peers and support team development.\n, • Regular collaboration with internal teams and external customers, vendors, and professional organizations is expected.\n, • Additional duties may be assigned as needed.\n, • Responsible for maintaining a safe and compliant work environment.\n, • Regular and predictable attendance\n\n \n Physical Demands: \n While performing the duties of this job, the employee is expected to: \n\n • Light work - Exerting up to 20 lbs of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects.\n\n Lifting, Carrying, Pushing, Pulling and Reaching: \n\n • Occasionally:Reaching upward and downward, Push/pull, Stand\n, • Frequently:Sit\n, • Constantly:N/A\n\n Activities: \n\n • Occasionally:Climbing stairs/ladders, Push/pull, Reaching upward and downward, Standing, Walking\n, • Frequently:Finger feeling, Hearing - ordinary, fine distinction, loud (hearing protection required), Seeing - depth perception, color vision, field of vision/peripheral, Sitting , Talking - ordinary, loud/quick\n, • Constantly:N/A\n\n Environmental Conditions: \n\n • Occasionally:N/A\n, • Frequently:N/A\n, • Constantly:N/A\n\n Work Environment: \n \n The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. \n\n • Noise Intensity:Moderate\n, • Occasionally:Other\n, • Frequently:N/A\n, • Constantly:Office environment\n\n \n Salary Range: $170,000-$185,000 \n \n \n The targeted range for this role takes into account a range of factors that are considered when making compensation and hiring decisions; included but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Compensation decisions are dependent on the facts and circumstances of each case. The range provided is a reasonable estimate. \n It is an essential function of this position for an employee to be present and in-person at the physical site(s) of our customers and potential customers. Many of our customers and potential customers are in clinical settings, including, but not limited to, hospitals, clinics, and other health care clinics (hereinafter, “Healthcare Customers”). Many of our Healthcare Customers require outside vendors like us to present proof that they have certain requisite vaccinations and immunizations, including, but not limited to, vaccinations against COVID-19 and seasonal influenza, before being granted entry into the Healthcare Customers’ clinical settings. To gain access to our Healthcare Customers clinical settings, field sales, field service, and other customer facing professionals are required to register with the vendor credentialing organization associated with the Healthcare Customers, complete the Healthcare Customers’ required process, and undergo a series of clearances. Vendor credentialing clearances include, but are not limited to, a national criminal background check, drug screening, and immunizations as determined by the vendors, which may include, but are not limited to, Influenza, Hepatitis B Virus, and COVID-19. You must fully comply with the requirements of the Healthcare Customers in your region, including any necessary proof of any vaccination. As such, all individuals in this position assigned to a Healthcare Customer with a COVID-19, Influenza, Hepatitis B Virus, or other vaccination requirement must be fully vaccinated and/or immunized in accordance with the Healthcare Customers’ requirements. B. Braun Medical North America Companies complies with the Americans with Disabilities Act (ADA) and applicable laws, and on receipt of an accommodation request will engage in the interactive process to assess possible reasonable accommodation options, if any, consistent with the ADA and applicable law. \n B. Braun offers an excellent benefits package, which includes healthcare, a 401(k) plan, and tuition reimbursement. To learn more about B. Braun and our safety healthcare products or view a listing of our employment opportunities, please visit us on the internet at www.bbraunusa.com. \n Through its “Sharing Expertise®” initiative, B. Braun promotes best practices for continuous improvement of healthcare products and services. \n We are an equal opportunity employer. We evaluate applications without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected characteristic. Know Your Rights: Workplace Discrimination is Illegal, click here. \n \n \nAll qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.\n \n \n Compensation details: 170000-185000 Yearly Salary \n \n \n \n \n PI4e19809351c6-25405-42004589

Job Description Join Toshiba America Business Solutions as a Field Service Technician II in New York, NY You’ll work with industry-leading office technology while supporting customers throughout your assigned territory. From troubleshooting and repairs to installations and upgrades, you’ll play a key role in keeping multifunction printers, copiers, and Managed Print Services (MPS) environments running at their best. Every day brings new opportunities to solve technical challenges, support customers and keep business-critical technology running smoothly. If you enjoy hands-on work, continuous learning, and working directly with customers, you’ll have the opportunity to build your expertise across industry-leading office technology. What you’ll do • Maintain, service, and repair printers, copiers, and other office technology at customer locations, • Provide product training and support to customers, • Diagnose equipment issues and perform installations, upgrades, modifications, removals, and retrofits., • Complete service calls based on priority while managing your schedule effectively, • Maintain parts inventory, tools, and test equipment, and perform preventative maintenance, • Complete required Toshiba, dealer, and manufacturer training, and rebuild components in the shop as needed, • Accurately document service activities and follow safety policies and procedures What You’ll Bring • High School Diploma or GED, • 3+ years of experience in technical repair, service, installation, training, or support of copier and office equipment, Photo ID systems/software, printers, ID Badge systems, fingerprint equipment, or comparable products, • Relevant education, certifications, or internships in related fields may be considered in lieu of the required experience, • Intermediate computer skills and strong electro-mechanical aptitude, • Ability to lift 50 lbs. and perform frequent bending, lifting, and reaching, • Valid driver's license and auto insurance coverage per Toshiba policy for positions requiring the use of a personal vehicle for company business Earn Well • Hourly Range: $26.00 to $29.00 depending on experience., • Monthly Performance Based Technician Bonus - up to $4,800 per year—$400 per month. Benefits • Medical, dental, and vision coverage, • 401(k) plan with match and company provided life insurance, • Employee Assistance Programs, pre-tax spending accounts, pet insurance, and employee discounts, • Generous paid holidays, vacation & sick/personal business/volunteer days, • Opportunities for career growth within a global technology organization About Us Toshiba America Business Solutions is a leader in digital technology, delivering innovative print, document management, and workflow solutions that help organizations across a wide range of industries. At Toshiba, you’ll have opportunities to expand your expertise, gain exposure to multiple areas of the business, and build a rewarding career with a trusted global organization. Learn More The content below is exclusively available on our careers site job description: https://careers.business.toshiba.com/ Join Our Talent Community Our Commitment to Sustainability News Archive Solutions & Services Our Office Products e‑BRIDGE® Global Print Toshiba Office Collection Virtual Demonstration (YouTube) Client Testimonials (YouTube Playlist) Toshiba America Business Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email AccommodationRequest@tabs.toshiba.com to request an accommodation.

Job DescriptionAbout Panavision: The Panavision group supports filmmakers working on movies, television series, commercials, and beyond. Our family of brands provide filmmaking equipment rentals for lenses, cinema cameras, grip, and lighting, stage facilities for filming, and much more. Job Scope: Entry level Camera Service Technician. Service equipment to the required standards of safety, functionality, and presentation to meet rental schedules. Follow departmental procedures in an effective, efficient, and productive manner with the minimum amount of direct supervision. This position falls under Local 210. Key Responsibilities: • Perform Service checks of Minor and Wireless Camera Accessories (with an emphasis on Wireless Equipment), • Wireless Camera Accessories Include:, • Wireless Lens Motor Kits such as Preston FIZ and Arri WCU4/Hi-5, • Focus Assists such as the Preston Light Ranger and Cinematography Electronics’ Cinetape, • Wireless Video Kits such as Teradek Bolt 4K and 6, • Minor Camera Accessories include:, • Power Converters, • Time Code Boxes, • Video Converters, • Digital & Analog Zoom Controls, • Respective Cables, • Examine, clean, test and perform basic adjustments of equipment within a specified time. Adjust equipment to client specifications if necessary., • Identify problems with equipment and determine appropriate action: minor repair in-house, refer to Electronics Technician for repair, or send out to vendor for repair or refurbishing., • Maintain detailed documentation of serviced equipment for accurate inventory counts and damage/repair processes., • Assist in the daily transfer of equipment from Logistics to Service, and Service to Inventory., • Use proprietary systems and information to prioritize which equipment needs to be serviced to meet rental schedules., • Notify management of inventory shortages so that complete kits can always be available., • Maintain a working inventory of hardware and replacement parts., • Assist Clients and Staff with technical questions and issues., • Learn and adapt with new technological trends and equipment, • Other tasks and assignments as required. Skills/Experience Required: • Ability to maintain high performance standards and output under strict time constraints, • Ability to operate in a fast-paced environment, • Strong organizational skills and attention to detail, • Proper use of hand tools, • Basic understanding of camera theory, • Basic knowledge of electronics, basic knowledge of mechanical repair procedures, and working knowledge of blueprints, parts lists, and schematics., • Strong interpersonal and communication skills, • Strong computer skills, • Knowledge of common camera rental practices, • General working knowledge of Panavision’s equipment and inventory, • Clear understanding of set call procedures and etiquette, • Ability to remain flexible toward change, • Health & Safety Requirements:, • Safe handling of solvents and other chemicals., • Safe handling of sharp and other potentially dangerous equipment., • Safe manual lifting techniques. Able to lift up to 50lbs. on a consistent basis., • Knowledge of current electrical safety standards., • Enforcement and use of Personal Protective Equipment (PPE) if required. Work Environment and Physical Demands: This job operates in a warehouse environment. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand; walk; use hands and reach with hands and arms. The employee may also be required to lift product or equipment weighing up to 50 lbs. Position Type/Expected Hours of Work: Prompt and regular attendance is required, employees are expected to begin work at the start of their scheduled shift and to complete their assigned work shift according to the responsibilities of their position. This position works standard business hours, but may require long hours and some weekend work. Travel: Some out-of-state/country and overnight travel may be expected. Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Compensation: $18.50 per hour It is the policy of Panavision to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable State and Federal law. Powered by JazzHR ywN6UdOSaH

Job Description BMW-Certified Service Technician SIGN-ON BONUS BMW of Long Island City | Long Island City, NY Diagnose. Repair. Deliver Quality. BMW of Long Island City is seeking experienced, BMW-certified Service Technicians to join our team. This opportunity is specifically for technicians with prior BMW dealership experience and current BMW certification at the Associate (B) level or higher. You will use BMW diagnostic technology, technical information, and repair expertise to diagnose concerns, perform repairs, and maintain vehicles to BMW factory standards. If you take pride in fixing vehicles right the first time, stay current with BMW technology, and value being part of a strong service team, we would like to hear from you. Compensation and Benefits • BMW High-Voltage and Master Technicians: 50–60+ per flat-rate hour, • BMW Associate (B) Level Technicians: $45+ per flat-rate hour, • Sign-on Bonus, • Relocation Assistance, • Compensation based on BMW certification level, experience, and technical expertise, • BMW technical training and continuing education, • Medical, dental, and vision insurance, • 401(k) or retirement benefits, • Paid time off, • Career growth and advancement opportunities Schedule • 7:00 a.m.–4:00 p.m. or 8:00 a.m.–5:00 p.m., • Approximately two Saturdays per month, • Additional hours may be required based on business needs What You’ll Do • Complete repair orders as assigned., • Diagnose vehicle concerns and determine the appropriate repairs., • Perform advanced drivability, electrical, and computerized diagnostics using BMW technology., • Repair and maintain engines, brakes, steering, suspension, electrical systems, air-conditioning systems, and other mechanical and electronic components., • Inspect vehicles for additional maintenance or repair needs and communicate findings to the Service Advisor., • Provide accurate labor, time, and parts estimates., • Follow BMW repair instructions, technical bulletins, warranty requirements, and dealership procedures., • Perform quality-control inspections and post-repair test drives., • Complete repair orders, warranty documentation, and other required records accurately., • Communicate additional repair needs, concerns, and potential delays promptly., • Work closely with Service Advisors, Parts employees, Group Leaders, and fellow technicians., • Maintain a clean, organized, and safe work area., • Properly maintain dealership and personal tools., • Participate in required BMW technical training and keep all certifications and training current. What We’re Looking For • At least five years of automotive technician experience., • Prior BMW dealership technician experience required., • Current BMW certification at the B level or higher required., • All required BMW training and ASE credentials must be completed and current., • BMW A-Level, Master, and High-Voltage-certified technicians are strongly encouraged to apply., • BMW High-Voltage training and experience preferred., • Strong mechanical, electrical, computerized diagnostic, and problem-solving skills., • Experience using BMW diagnostic equipment, warranty systems, applications, repair instructions, and technical information., • Ability to understand and follow BMW factory repair and warranty procedures., • Strong attention to detail and commitment to fixing vehicles correctly the first time., • Positive attitude, professional demeanor, and commitment to teamwork., • Ability to work independently while contributing to a collaborative service environment., • High school diploma or equivalent., • Valid driver’s license and a driving record that meets the dealership’s insurance and vehicle-use requirements., • Ability to safely operate and test-drive customer vehicles., • Ability to obtain a New York State Motor Vehicle Inspector License within the first 90 days of employment., • Authorization to work in the United States. Employment may be contingent upon successfully completing job-related pre-employment screening and a motor vehicle record review, as permitted by applicable law. Build Your Career with BMW Join a professional service team where your BMW experience, technical certifications, and commitment to quality will be valued. You will have the opportunity to work with advanced BMW automotive technology while continuing to grow your expertise through ongoing training and development. BMW of Long Island City 38-15 Queens Boulevard Long Island City, NY 11101 All applications and inquiries will be handled confidentially. BMW of Long Island City is an equal opportunity employer. Employment decisions are based on qualifications, merit, and business needs without regard to any status protected by applicable federal, state, or local law.

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description At PEARCE, we've got a career for you! Pearce is a leading technology-enabled provider of asset management solutions for mission-critical electromechanical infrastructure throughout North America. Pearce provides technical maintenance, repair, operations, and engineering services for uninterruptible power supply (UPS) systems, backup power generators, battery energy storage systems (BESS), critical cooling systems, and other electrical and mechanical infrastructure across end markets such as renewable energy, telecom, and data centers. Founded in 1998, Pearce has more than 4,000 employees and 28 locations across the U.S. Pearce is a wholly owned subsidiary of CBRE Group, Inc., the world's largest commercial real estate services and investment firm. To learn more about Pearce visit http://www.pearce-services.com. Your Impact: Are you a skilled and highly motivated Generator Technician who is looking to learn and grow in a fast-paced, challenging job in the Telecom industry? If so, Pearce has a career for you! Our Generator Technicians service and repair commercial generators on cell phone towers in your region. This role is a great match for independent, self-starters who are willing to travel. Core Responsibilities: • Maintaining generators, diagnosing and repairing problems, installing and replacing components or entire systems, and performing additional maintenance or upgrades on out-of-season equipment, • Conducting performance checks and regular maintenance on generators to ensure proper readiness, reading and following blueprints or other design specifications to install or repair, • Install fuel and water supply lines, pumps, electrical wiring and controls, and other components, and test for proper operation, • Be responsible for responding promptly/timely to Power/Generator alarms; have the ability to be on call 24/7 if necessary and respond promptly in answering assigned phone and email, • Perform work with the awareness of all potential hazards connected with the installation and maintenance of power supply equipment, switching gear, and other equipment, including but not limited to falls, electric shock, falling objects, and traffic; use safety equipment and utilize safety practices; attend and participate in all designated safety and training meetings Specific duties may vary or evolve over time based on business and client needs. Core Experience: • Two or more years of experience with generator maintenance is preferred and a minimum of one year of intense work-related experience with generator and electrical maintenance-related software, hardware, and processes, • Thorough knowledge of generator installations, maintenance, and repair of Generators; knowledge of electronic, mechanical, and electrical components; moderate computer skills, • Basic knowledge of pertinent FCC/FAA/EPA/OSHA regulations Physical/Work Environment: At Pearce safety is our number one concern. Candidates must be able to comply with OSHA Standards. • This position requires lifting over 50 pounds, stooping, bending, kneeling, squatting, climbing, and standing for long periods of time, • Must have the ability to inspect and/or troubleshoot equipment/alarms effectively, both visually and audibly, • Must be willing and able to drive long distances, workday, evening, or night hours; overtime, emergency callouts, weekends, and holidays as required; must assume 24-hour on-call duty when assigned and be gone from home for extended periods of time, • Must be able to pass a DOT physical At Pearce, we are committed to fair and transparent pay practices. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to wages, employees may also be eligible for performance and referral bonuses, production incentives, tool/equipment and fuel stipends, company vehicle, per diem or other applicable compensation. We also offer all full-time employees a comprehensive benefits package including health and life insurance, 401k with employer match, paid time off, tuition reimbursement, and professional development courses. This pay range reflects our commitment to pay equity and compliance with state and federal pay transparency laws. If you have questions about compensation, we encourage open discussions during the hiring process. Base Pay Range $30—$40 USD What We Offer Pearce offers a family-friendly and innovative culture with opportunities for growth, competitive compensation, comprehensive health benefits including medical, dental and vision insurance, flexible spending accounts, HSA option. To help you recharge, we have paid vacation and paid holidays. For your future, we offer a company-matching 401(k) Retirement, Life Insurance, Tuition reimbursement, and professional development training. To help you be successful at work, as required for the role, we will provide a company vehicle, phone, laptop, or tablet along with all necessary tools and safety equipment. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Learn more about us at www.Pearce-Services.com!

AI Engineer 5 (Gen AI SDK: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Drive the Future with Xos Xos (NASDAQ: XOS), is a technology company and electric truck manufacturer on a mission to decarbonize commercial transportation. We design and build state-of-the-art electric vehicles, develop advanced fleet management software, and create charging solutions that make fleet electrification seamless and cost-efficient. At Xos, we're problem-solvers, innovators, and go-getters, working together to drive a cleaner, more sustainable future. Join us and be part of the movement shaping the next generation of commercial transportation. The Role Xos is hiring an experienced Field Service Technician responsible for diagnosing, repairing, and reporting on Xos vehicles. Operating primarily in the field, this role requires a high level of productivity and self-reliance while traveling. The Field Service Technician is responsible for taking customers' stated concerns and quantifying those into actionable technical issues. Detailed reporting on the cause, root cause, and corrective actions will drive improved production quality as well as field fix development. Exceptional customer service, knowledge of the complete vehicle, in addition to battery systems, is key to success in this position. This role will focus on servicing the Eastern Region and requires frequent multi-state and international travel, including regular cross-border travel to Canada, to support customer and field service needs Responsibilities • Diagnose, repair, and report on quality and design concerns on Xos vehicles and products., • Collaborate with internal teams such as design, engineering, software, and external partners., • Demonstrate proficiency in low voltage (LV) and high voltage (HV) electrical diagnosis, controls, and module programming., • Apply in-depth knowledge of basic electrical concepts, including the use of various volt-ohm meters., • Possess strong mechanical knowledge of commercial truck mechanical systems with experience in motors and harness systems preferred., • Provide professional customer facing support through face-to-face interactions and through phone and email communications., • Complete timely and accurate case notes, repair orders, and initiate new cases as required., • Demonstrate professional appearance and effective communication skills with customers on-site and in remote interactions., • Complete training objectives and certifications as assigned by management., • Perform additional duties as assigned. Qualifications • Proven proficiency with high and low voltage electrical systems., • Associates Degree or Vocational Certificate in automotive service technology related field or 4+ years of relevant experience., • ASE Certifications are a plus, • CDL class A or B preferred, • Proficiency in Google Suite applications, • Ability to read and interpret electrical schematics, • A valid Driver's License and a clean driving record are required for this position, as driving is an essential function of the role., • Ability to meet security clearance requirements for employment and comply with all applicable pre-employment conditions, including those required by federal or customer-regulated work environments., • Must be legally eligible for international travel and admissible to Canada for business purposes, and able to obtain and maintain all required travel documentation., • Must be available to travel as business needs require (typically 60-80% of the time including overnight stays), including weekends, holidays, and outside standard business hours. Travel includes frequent cross-border assignments to Canada. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. While performing the essential functions of this job, the employee is regularly required to lift over 50 pounds, perform work under commercial vehicles with the use of personal protective equipment from the ground at various worksite locations, including outdoors and in varying weather conditions. The salary range for this role is specific to the locations listed below and is the range Xos Inc. reasonably and in good faith expects to pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including not but limited to, job-related knowledge, skillset, relevant education, qualifications, certifications, geographic location, and other business or organizational factors. • $30.00 - $35.00(+) DOE per hour Benefits & Perks Xos is a people-focused company—we are committed to providing our employees with a comprehensive package of benefits and perks designed to support their well-being and professional growth. We continually evaluate and expand our offerings to best serve our team. • Comprehensive Medical, Dental, and Vision - Coverage for you and your family, with PPO and HMO (California) plans available. We offer plans with 100% covered employee premiums. Employees can also enroll in a variety of voluntary ancillary benefits to further support their needs., • HSA & FSA Plans - Set aside pre-tax dollars for qualified healthcare expenses., • PTO - Accrue vacation time over time, with additional days earned as your tenure grows, plus sick time and paid holidays!, • Generous Company Holidays - Enjoy a generous holiday calendar, including a winter holiday hiatus in December., • Basic Life & AD&D Insurance - 100% covered by Xos, with the option to purchase additional life insurance coverage for yourself and eligible dependents., • Betterment 401(k) - Save for retirement with our employer-sponsored plan through Betterment., • Pet Insurance - Coverage for your furry friends to keep them healthy and happy!, • Additional opportunities to learn, grow, and advance in your career, just to name a few! We are dedicated to fostering a workplace where employees can thrive. Our benefits continue to evolve to best support our team's well-being and success. Commitment to Equal Opportunity Xos is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, gender, pregnancy, sex, sexual orientation, gender identity, gender expression, national origin, age, genetic information, ancestry, protected veteran status, disability, or any other basis protected by local, state, or federal law. Xos provides equal access to services and employment to all qualified persons. For applicants with disabilities or limitations, such as those covered by the Americans with Disabilities Act, requiring accommodations to complete the application and/or interview process, please email us at support@xostrucks.com Candidate Data Privacy This notice describes how Xos (as used in this Notice, the terms "Company," "Xos," "we," "our," or "us" in this Notice refers to Xos, Inc., together with its subsidiaries and other corporate affiliates, who may handle your candidacy and application for employment) may collect, process, and use your personal data in connection with the recruitment process when you apply for a position. Xos may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in the recruitment process ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Xos may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Xos may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform duties, including individuals on our People Operations Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Xos affiliates; and (iii) Xos's service providers, including providers of background checks, staffing services, and cloud services. Where permitted by applicable law, Xos may transfer or store internationally your Candidate Profile Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Notice to Recruitment Services Xos is not accepting applications from third-party recruitment services at this time. Unsolicited resumes or candidate profiles submitted in response to our job postings will not be subject to any referral or placement fees unless a written agreement is in place with Xos for the specific job opportunity.

Job Description Field Service Technician II Location: EAST COAST (Home-based; regional travel across East Coast- FL, GA, NJ, NYC) Overview Search Made Easy is partnering with a leading medical-device manufacturer to find a Field Service Technician II. You will install, maintain and repair precision equipment in ISO-regulated environments, working out of NY, NJ, GA, FL with 75-90% domestic travel through Salary Target is between $85K-$95K along with a standard benefits package. Primary service areas are Miami and/or NYC/NJ Key Responsibilities • On-site installation, calibration, preventive maintenance and repair of electromechanical and optical systems, • Electrical troubleshooting using multimeter, oscilloscope and service manuals, • Read and update schematics, wiring diagrams, BOMs and service reports, • Provide Level-2 phone support and escalate complex issues to engineering, • Maintain accurate service documentation in CRM and ERP systems, • Train end users on safe operation and support regulatory audits Must-Have Qualifications • Associate’s degree or equivalent hands-on experience in electronics, mechatronics or a related technical field, • Four or more years of field-service experience in a medical-device or ISO 13485 environment, • Strong electrical troubleshooting skills and ability to interpret technical drawings, • Excellent customer-service orientation and clear verbal and written communication, • Valid driver’s license and willingness to travel 75–90 percent domestically Nice to Have • Experience with laser or optical medical-aesthetic devices, • Familiarity with NetSuite, Salesforce or similar CRM/ERP platforms, • Background in regulated industries or military maintenance What’s in It for You • Competitive base salary plus travel per diem and vehicle allowance, • Comprehensive benefits package (medical, dental, vision, 401(k)), • Ongoing technical training and career development, • Opportunity to work with state-of-the-art medical-device technology How to Apply Click apply here OR email your resume and a brief cover note explaining your technical background and availability to info@thesme.org with the subject line “Field Service Tech II- EAST.” Search Made Easy is an equal opportunity recruitment firm. We are committed to a policy of non-discrimination and adhere to data protection laws. For comprehensive details on our practices, please visit our Privacy Policy. By applying, you consent to the processing of your personal data in accordance with these policies. By applying you also understand that only qualified candidates will be contacted and that no employer-employee relationship between you and Search Made Easy or its clients exists. If you require accommodations during the recruitment process, please email us at info@thesme.org with your request at the time of application. All information is handled in compliance with applicable laws and strictly for legitimate business needs.

Job Description About Mantis We help organizations improve how their buildings perform by bringing together energy, facility operations, and sustainability into one connected approach. At Mantis, our teams work across the full lifecycle of a facility—from planning and design to field execution and long-term asset management—across commercial and industrial portfolios, data centers, and complex mechanical systems. Our work spans four core areas: Building Controls, Energy Efficiency, Energy Advisory, and Facility Management—covering HVAC/mechanical optimization, BMS/BAS and EPMS controls, lighting system upgrades, energy brokerage, roofing and building envelope assessments, construction management, and more. Whether you’re in sales, engineering, construction/project management, field operations, corporate, or technology, you’ll play a role in delivering these solutions and helping clients improve facility performance. Summary BMS Service Technician II diagnoses and resolves complex system issues in building management systems across commercial and mission-critical environments. This role ensures systems run reliably by completing service work from start to finish, reducing repeat issues, and maintaining consistent service quality. This role requires overnight travel for service projects.Responsibilities • Independently troubleshoot, service, and commission BMS systems in mission-critical environments., • Diagnose and resolve hardware, software, and networked control system issues., • Execute service tickets from assignment through full resolution within SLA timelines., • Perform system upgrades, backups, restores, and configuration changes., • Execute commissioning and startup activities, including validation of system performance., • Install and configure control system components, including sensors, controllers, and panels., • Read and interpret control drawings to identify issues and implement solutions.Minimum Qualifications, • 3-5+ years of BMS, building automation, or HVAC controls experience, • Proficiency with Tridium Niagara (N4) or equivalent controls systems, • Strong troubleshooting capability across control systems (hardware, software, and networked systems)Working Conditions/Physical Requirements Work environment:, • Field-based role across commercial buildings, active construction sites, and mission-critical facilities. Physical requirements:, • Standing, walking, climbing ladders, and working in mechanical spaces, • Lifting tools and equipment (up to ~50 lbs.), • Working in confined or high-access environments as needed Schedule expectations:, • Standard work hours with on-call rotation and emergency response requirements, • Travel required based on service and project needs Disclaimers This position description describes the general nature and level of work expected for this role. It is not intended to be a complete list of all duties, responsibilities, or qualifications. Responsibilities may change based on business needs, client demands, system changes, or economic conditions. Employees are expected to perform other job-related duties as assigned. Base Salary Note: Employees are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the position. What else can we offer you? We offer a fantastic lineup of benefits, including Medical, Dental, Vision, FSA, HSA, 401k Matching, Paid Vacation, Paid Sick, Paid Holidays, Paid Parental Leave, Paid Short Term & Long Term Disability, Tuition Reimbursement, and a flexible hybrid work schedule (for office-based employees). Working at Mantis also brings tremendous professional development opportunities that allow you to make a real impact on both the company and your career! Not sure you meet every single requirement? Studies show that women and individuals from underrepresented groups often hesitate to apply unless they check every box. At Mantis, we’re committed to building an inclusive and equitable team—so if this role excites you, we’d love to hear from you, even if your experience doesn’t match every single qualification. Mantis Innovation is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. 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 At PEARCE, we've got a career for you! Pearce is a leading technology-enabled provider of asset management solutions for mission-critical electromechanical infrastructure throughout North America. Pearce provides technical maintenance, repair, operations, and engineering services for uninterruptible power supply (UPS) systems, backup power generators, battery energy storage systems (BESS), critical cooling systems, and other electrical and mechanical infrastructure across end markets such as renewable energy, telecom, and data centers. Founded in 1998, Pearce has more than 4,000 employees and 28 locations across the U.S. Pearce is a wholly owned subsidiary of CBRE Group, Inc., the world's largest commercial real estate services and investment firm. To learn more about Pearce visit http://www.pearce-services.com. Your Impact The Advanced Solar Field Service Technician (Operations and Maintenance) in the PEARCE Renewables Solar Operations and Maintenance Division performs tasks involving physical labor at solar energy sites near New York, New York. The Solar Field Service Technician is responsible for the operation and maintenance (O&M) of solar power plants in accordance with established preventative and corrective maintenance standards while always maintaining safety and professionalism. These are local sites-candidates should reside within 50 miles of the New York, New York areas. Core Responsibilities • Conduct preventative and corrective maintenance of Solar Utility and Sub-Station equipment., • Responsible for documentation including, but not limited to, work orders, time logs, inventory control, and emergency information schedules., • Provide a working knowledge of troubleshooting electrical components with help and use of digital multi-meters, meggers, amp clamps, and similar equipment., • Testing/troubleshooting installed solar equipment and ensuring proper working order., • Must have a strong safety background with experience in Lock Out Tag Out (LOTO) and Job Hazard Analysis (JHA)., • Able work in a solo as well as a group environment., • Operate and maintain a motor vehicle safely and legally per the PEARCE Renewables Employee Handbook and insurance requirements. Specific duties may vary or evolve over time based on business and client needs. Core Experience • 2+ years' experience in Commercial/Industrial operations and maintenance (O&M) on solar power plants is preferred., • Preventative Maintenance experience on Solar Utility equipment is preferred., • Candidates should possess strong mechanical and electrical experience with troubleshooting and installation skills., • Specific solar experience with Inverters, Tracker Systems, or Sub-Stations Equipment (TMEIC/SMA/Sungrow/Nextracker/ATI, etc.) is preferred., • Takes initiative to escalate issues at site., • Ability to train, mentor, and develop laborers into Apprentices., • High aptitude and a strong work ethic are a must. Physical/Work Environment At Pearce safety is our number one concern. Candidates must be able to comply with OSHA Standards. • Must live within approximately 50 miles of the New York, New York areas., • Be exposed to ambient temperatures while working outdoors., • Lift and move equipment as needed (up to 50 pounds)., • Employment may require working on weekends and holidays, including an "on call" service availability via telephone/text message., • Travel requirements dependent on support of the company (up to 25% travel). Compensation: $35.00-$60.00 hourly/DOE At Pearce, we are committed to fair and transparent pay practices. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to wages, employees may also be eligible for performance and referral bonuses, production incentives, tool/equipment and fuel stipends, company vehicle, per diem or other applicable compensation. We also offer all full-time employees a comprehensive benefits package including health and life insurance, 401k with employer match, paid time off, tuition reimbursement, and professional development courses. This pay range reflects our commitment to pay equity and compliance with state and federal pay transparency laws. If you have questions about compensation, we encourage open discussions during the hiring process. Base Pay Range $35—$60 USD What We Offer Pearce offers a family-friendly and innovative culture with opportunities for growth, competitive compensation, comprehensive health benefits including medical, dental and vision insurance, flexible spending accounts, HSA option. To help you recharge, we have paid vacation and paid holidays. For your future, we offer a company-matching 401(k) Retirement, Life Insurance, Tuition reimbursement, and professional development training. To help you be successful at work, as required for the role, we will provide a company vehicle, phone, laptop, or tablet along with all necessary tools and safety equipment. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Learn more about us at www.Pearce-Services.com!

Job DescriptionCompany Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description Equinox is the industry leader for luxury fitness and health optimization. Our clubs are searching for experienced Fitness Professionals already certified in an array of related fields including Physical Therapy, Chiropractic Medicine, Yoga, Pilates, Personal Training, and/or Massage Therapy. Equinox’s Stretch + Mobility Training Program ensures that clients receive a hyper-customized stretching session. Stretch Business Management • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell stretch series to members and clients through phone calls, emails, and in-person interactions and Stretch Events., • Maintain knowledge of all club services, programs, and products Service and Hospitality • Execute intake, outtake and assisted stretches 30/60 min as well as 15/25 min complimentary services for members, • Interact with members to enhance their recovery and overall club experience, • Create and offer personalized programs / series, • Maintain an organized, clean and safe stretch area during shifts and sessions Professional Development • Attend and pass mandatory pre-work training, • Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications Equinox’s Stretch + Mobility Training Program is an assisted stretching program developed by Equinox's most experienced manual therapists and experts. During the required Equinox proprietary theory and hands-on training, our Stretch + Mobility Specialists learn the muscular system, a variety of assisted stretches and how to work with a variety of clients from professional athletes, weekend warriors, those recovering from an injury and clients of all ages and body types. • Must possess a fitness related certification or Massage Therapy License, • CPR/AED Certification, • Possess passion, ambition, drive, and knowledge regarding anatomy, fitness and recovery, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, hygienic and respectful Pay Transparency: $17.00 Hourly Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop NOTE: This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at https://careers.equinox.com All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Job Description Remote: Travel: 50% Join the Maverick Power Team! At Maverick Power, we don’t just build power distribution solutions—we redefine industry standards. Recognized on the 2025 Inc. 5000 list as #16 in the U.S., #2 in Manufacturing, and #1 in Texas, we are committed to driving innovation, quality, and speed. With multiple manufacturing facilities across North Texas and Phoenix, we are expanding rapidly and looking for top talent to grow with us If you are ready to be part of a high-energy, solutions-driven team where your work makes an impact, Maverick Power is the place for you. What We Offer: • Competitive Compensation + Bonus Potential!, • Paid Time Off, 401K Matching, Medical, Dental, and Vision Benefits!, • High-growth organization with advancement opportunities!, • Diverse, Collaborative, & Fun Work Environment!, • This position is eligible for a sign-on bonus. About the Role: This role is key to maintaining the highest level of customer satisfaction and helping assure field deployed equipment meets Maverick Power’s highest quality standards. Supporting equipment installation, start-up and commissioning efforts, troubleshooting and repair of power distribution equipment and collaborating with engineering and manufacturing staff to upgrade, modify or configure installed equipment. This individual must have a keen sense of technical detail, be very well organized, punctual and act with a sense of urgency in support of our customer needs. Service Technician must be able to interpret electrical drawings, write reports, collect, document and organize technical information. Additionally, must me safety minded and strictly adhere to company and site safety policies. Key Responsibilities: • Travel to customer sites and work independently or as part of a team in support of equipment installation, start-up and commissioning efforts., • Collaborate with the Engineering, Field Services and Product Management team to as necessary to address quality and warranty concerns., • Read and interpret technical drawings, service manuals and product instructions for configuration of equipment., • Complete field technical reports, update safety documents, documents quality findings and resolutions utilizing company and customer computer maintenance management systems., • Work with service management, engineering and manufacturing staff to address manufacturing quality issues and engineering change requests., • Responsible for interpreting drawings, wiring diagrams, Bill of Material and specifications., • Utilize standard and specialized electrical test equipment to diagnose, program and repair installed equipment., • Assist engineering staff in collecting the required information for the development of technical documentation when required., • Utilize mechanical abilities to install, adjust and repair various electro-mechanical components or assemblies., • Support service sales effort interfacing with engineering and manufacturing staff to develop solutions, monitor production and provide status updates Qualifications: • 2-Yr Technical Degree and minimum of 2 years of electrical/mechanical experience. Alternately an equivalent combination of education and experience is required., • Ability to travel, including overnight stays when required., • Ability to interpret technical drawings, wiring diagrams, power studies and other technical documents including equipment operating and repair manuals., • Computer program skills must include Microsoft suite of programs, • Must have a valid driver’s license., • Must be able to drive a company and/or rented vehicle and be insured., • Must comply with all company administrative and safety policies. Physical Requirements: • Must be able to lift and carry up to 40 pounds. Work Environment: May work in various settings at the Maverick Power facilities, in offices, in multiple shops, and in commercial buildings. Maintaining the same position or posture while performing tasks and sitting for prolonged periods. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. EEO/AAP Statement: We acknowledge and honor the fundamental value and dignity of all individuals. Maverick Power is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.