Trabajos business information technology en Estados Unidos - Page 3

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.

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.

Director of Business Systems \n \n Our client is seeking a Full-time experienced, collaborative, and hands-on technology professional to serve as its Director of Business Systems. Reporting to the Vice President for Institutional Research, Data Governance, and Planning, who also oversees Information Technology, the Director provides leadership for the University's enterprise business systems and the data, processes, and integrations that support them. \n \n This position combines strategic leadership with hands-on technical responsibility. The Director will help shape the approach to business systems, data governance, automation, and technology planning while working directly with systems, databases, reports, integrations, and users. As the primary administrator for the environment, the Director will work across the University to improve processes, strengthen data integrity, and ensure that technology continues to meet evolving institutional needs. \n \n Key Responsibilities \n\n • Provide strategic and operational leadership for the enterprise business systems\n, • Serve as a hands-on technical leader, participating directly in integrations, troubleshooting, and technical problem resolution.\n, • Supervise and develop Business Systems staff, including two Data Base Administrators and an administrative assistant.\n, • Partner with offices across the to understand business requirements, improve the effective use of enterprise systems, and develop technology solutions that support institutional needs.\n, • Develop SQL scripts, data extracts, and reports, including solutions using InfoMaker and other reporting and analytics tools, to support operations and decision-making.\n, • Lead business-system upgrades and enhancements, including planning, testing, implementation, and post-implementation support, while proactively communicating system changes, new capabilities, and their impact to the community.\n, • Serve as a principal liaison with other business-system vendors in resolving technical issues and evaluating new capabilities.\n, • Support institutional data governance and provide leadership for data integrity within enterprise business systems, including data-quality practices, access controls, and the integrity of data imports, exports, and system integrations.\n, • Develop and maintain policies, procedures, standards, and production calendars supporting the reliable and effective operation of enterprise systems.\n, • Identify opportunities to streamline and automate administrative processes and responsibly apply artificial intelligence, AI-enabled tools, automation, and emerging technologies to improve productivity and institutional effectiveness.\n, • Contribute to business continuity and disaster recovery planning for critical business systems and data.\n, • Participate actively in institution-wide technology planning, helping evaluate priorities, system capabilities, integrations, risks, and opportunities.\n\n Required Qualifications \n\n • Bachelor's degree.\n, • Minimum of five years of experience with enterprise business systems, student information systems, ERP systems, or comparable complex administrative technology environments.\n, • Demonstrated hands-on technical experience with relational databases and enterprise business systems, including SQL programming, data extraction, report development, and troubleshooting.\n, • Demonstrated project management experience coordinating technical initiatives involving both technical and nontechnical stakeholders.\n, • Experience supervising or providing functional leadership to technical or business-systems staff.\n, • Strong analytical, problem-solving, communication, and interpersonal skills, with the ability to work effectively across technical and functional areas.\n\n Preferred Qualifications \n\n • Master's degree.\n, • Experience with enterprise business systems in higher education.\n, • Experience with Jenzabar J1/JICS, Slate, PowerFAIDS, Raiser's Edge, 1Card, InfoMaker, or comparable enterprise platforms and reporting tools.\n, • Experience with enterprise system integration, data governance, data quality, or business continuity and disaster recovery.\n, • Experience using automation, artificial intelligence, AI-enabled tools, or other emerging technologies to improve business processes and organizational effectiveness.\n\n All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, status as a protected veteran, status as a qualified individual with a disability, or other protected category in accordance with applicable law. \n \n Candidates must be legally authorized to work in the United States at the time of hire. AA/EOE \n Salary Range: $110,000 - $120,000, depending on qualifications and experience \n \n

Position Summary \n The Director of Research & Intelligence leads the firm's research, intelligence and premium content services across all US offices. The Director understands the firm's practices, anticipates their information needs, and translates those needs into research, intelligence, monitoring and technology solutions. The Director leads a team of research and intelligence professionals, delivers business and competitive intelligence, and is accountable for the research portfolio, its vendors and its value. Serving on the Innovation leadership team, the Director partners with practice group leaders, Client Development and Legal Technology to bring research expertise to the firm's AI strategy. \n \n \n Key Responsibilities: \n Practice engagement and research strategy \n\n • Builds a deep understanding of each practice group's work, clients and priorities, and anticipates its research and information needs.\n, • Meets regularly with practice group leaders to discuss current work, emerging research needs, gaps in current resources, opportunities for automation or current awareness, and overlap among tools.\n, • Translates practice needs into research, intelligence, monitoring and technology solutions, combining people, content, technology and external resources.\n, • Develops strategic plans and policies for research and intelligence that advance practice, departmental and firm goals.\n\n \n Research and intelligence services \n\n • Leads the delivery of high-quality legal, business, regulatory and public records research to lawyers and business professionals.\n, • Leads business and competitive intelligence services, including client, industry, market, litigation and regulatory, and competitor intelligence, in partnership with Client Development where appropriate.\n, • Develops current awareness and monitoring services, such as alerts, docket and regulatory tracking, and market monitoring, tailored to practice needs.\n, • Maintains expert knowledge of research resources, techniques and best practices, and performs complex research as needed.\n\n \n Premium content and AI research tools \n\n • Owns, or holds substantial responsibility for, evaluating research content and products, including AI research tools, with testing for accuracy and value against existing resources.\n, • Manages licensing, content-use rights and entitlements for premium content.\n, • Reviews license terms before licensed content is connected to any firm AI tool.\n, • Partners with Innovation and IT, which own platform and technical decisions, to deliver appropriate and secure access to premium content.\n, • Establishes access rules by role and practice, supports single sign-on where available, and maintains a responsive process for access requests.\n\n \n Resource optimization and value \n\n • Develops, manages and forecasts the research and information budget, covering all research, data and news subscriptions across the US firm.\n, • Analyzes usage and cost to optimize the research portfolio and demonstrate its value, recommending whether to renew, renegotiate, downsize, retire or expand access to each resource.\n, • Shares cost and usage data with practice group leaders as part of regular engagement, and leads an annual subscription review with each, documenting the outcome.\n, • Attributes practice-specific subscriptions to the relevant practice group budgets in partnership with Finance, while managing firmwide platforms centrally.\n, • Reassigns idle seats, eliminates duplication, and supports client and matter cost recovery where engagement terms allow.\n\n \n Vendor management \n\n • Serves as the firm's primary contact for research and information vendors and negotiates contracts, renewals and pricing.\n, • Maintains a contract calendar of renewal dates, notice periods, price terms and license conditions.\n, • Holds regular business reviews with key vendors on usage, service, pricing and product roadmaps.\n, • Maintains current knowledge of product changes, especially AI features, and briefs Innovation, practice leaders and users on changes that affect workflow, cost or permitted use.\n, • Negotiates terms for AI-enabled products that protect client confidentiality and firm data, address data retention and model training, and define permitted use of licensed content.\n, • Monitors license compliance, including seat limits and authorized users.\n\n \n \n Research resource directory \n\n • Builds and maintains the firm's authoritative directory of research and intelligence resources, showing what each resource is and does, who has access, how to obtain access, available training and any restrictions on use with AI tools.\n, • Keeps the directory current as subscriptions, access or terms change, and uses site analytics to identify gaps.\n\n \n \n Training and adoption \n\n • Designs and delivers training on research platforms, including effective prompting and verification of AI output.\n, • Tracks adoption of research tools and reports results to the Senior Director of Innovation.\n, • Participates in onboarding of new lawyers and staff.\n, • Promotes effective, independent use of research resources by lawyers.\n\n \n Team leadership and development \n\n • Supervises, coaches and develops the research and intelligence team, continuing its move from a traditional library model toward a consultative Research Advisor model.\n, • Builds staff capability in practice consultation, competitive intelligence, monitoring, automation and AI-enabled research.\n, • Sets and reports on departmental metrics, including practice engagement, intelligence products delivered, request volume and turnaround, tool adoption, user satisfaction, spend against budget and the value of renewal decisions.\n, • Works with the Eversheds Sutherland (International) research and knowledge leads to share resources, coordinate global agreements and standardize practices where useful.\n, • Participates in firmwide initiatives that support the firm's strategic goals.\n\n \n Leadership standards of performance \n\n • Interacts with personnel at all levels in a tactful, cooperative and professional manner.\n, • Acts with honesty, integrity, courtesy and respect, and represents the firm well in all interactions.\n, • Maintains strict confidentiality of client and firm information.\n, • Delivers outstanding service to internal and external clients.\n, • Embraces diversity and inclusion in all aspects of the role.\n, • Champions change and the firm's initiatives, and adapts readily when priorities shift.\n, • Is fiscally responsible and communicates concisely and effectively with senior management.\n, • Takes initiative, works effectively under pressure, and continually seeks improvement.\n, • Performs responsibilities in accordance with all firm standards, policies and procedures.\n\n \n \n Knowledge, Skills and Abilities \n Education \n\n • Master's degree in Library and Information Science, Information Management or a related field preferred, with law firm experience.\n\n \n \n Experience \n\n • Ten or more years of experience in law firm research or library services, preferably in a multi-office national or global firm, including at least five years in a management role.\n, • Demonstrated success partnering with practice groups or business leaders to anticipate information needs and design research, intelligence or monitoring solutions.\n, • Experience leading business or competitive intelligence work in a law firm or professional services environment.\n, • Demonstrated management of a research or information budget, including usage and spend analysis, forecasting and resource optimization.\n, • Significant experience negotiating and managing contracts with major research vendors.\n, • Hands-on experience evaluating or deploying AI-enabled research tools such as Lexis+ with Protégé, CoCounsel, Vincent AI, Harvey or similar.\n, • Experience developing staff and leading a team through a change in its service model.\n\n \n Skills \n\n • Deep understanding of the business and practice of law, and the ability to consult with lawyers on their research and information needs.\n, • Expert knowledge of legal, business, news and public records research services, and of competitive intelligence sources and methods.\n, • Working knowledge of content licensing, including terms affecting use of licensed content with AI tools.\n, • Strong analytical skills, including use of usage analytics platforms (such as ResearchMonitor or Onelog) and data visualization tools.\n, • Ability to communicate research value, cost and usage clearly to practice group leaders and firm leadership.\n, • Change management and training skills, with experience presenting to lawyers.\n, • Excellent interpersonal, written and oral communication skills.\n\n \n \n This is a hybrid role and will require 3 days in office per week. The salary ranges for this position vary depending on the geographic location and other factors such as experience, internal equity, market data, and job-related considerations. The range for this position is from $175,00 - $250,000, with offers contingent upon the various factors. The firm’s compensation strategy includes not just a base salary but also comprehensive benefits such as healthcare, paid time off, discretionary merit bonuses, life and disability insurance, retirement plans and tailored learning opportunities. \n \n \n \n Eversheds Sutherland (US) LLP is committed to promoting diversity and inclusion within our Firm and in the larger legal profession. We believe that diverse skills, knowledge and viewpoints make us a stronger firm. Eversheds Sutherland (US) LLP maintains a policy of affording all employees and applicants equal employment opportunities without regard to actual or perceived race, color, religion, sex (including pregnancy, childbirth, lactation and related medical conditions), sexual orientation, gender (including gender identity or expression or transgender status), national origin, age, disability, genetic information, marital or familial status, domestic violence victim status, ancestry, amnesty, citizenship status, ethnicity, military and veteran status, or any other characteristic protected by applicable law. Unlawful discrimination, harassment and retaliation will not be tolerated in any of the Firm’s offices or any other work-related setting. Qualified individuals with a disability may request a reasonable accommodation in order to apply for a position or to enable them to perform the essential functions of a position for which they are otherwise qualified. EEO

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).

Our client, a women-owned, modern CPA firm focused on delivering proactive, high-value advisory and accounting services that help clients make better decisions and grow with confidence, is seeking a hands-on Tax Manager who can see the entire financial picture—not only the tax return. This is an ideal opportunity for a technically strong, self-directed professional who will be equally comfortable reviewing financial statements, discussing tax strategy with an owner, coaching a team member, and making sure the details are right. \n \n What You'll Do: \n \n\n • Own client relationships with small business and entrepreneurial clients, generally ranging from approximately $10M - $20M in annual revenue and serve as a primary advisor and day-to-day contact guiding them through year-end accounting, tax planning, projections, compliance and business decisions.\n, • Manage the full tax cycle. Oversee tax planning, projections, estimated payments, compliance, and the preparation and review of business entity and individual income tax returns.\n, • Connect the books to the tax strategy. Review QuickBooks Online files, bank reconciliations, adjusting entries, account activity, and financial statements to identify issues before they reach the return.\n, • Provide business insight. Analyze financial results, trends, cash flow, profitability, and other operating information; help clients understand what the numbers mean and what actions to consider.\n, • Deliver proactive planning. Identify tax-saving opportunities, model alternatives, communicate recommendations clearly, and help clients prepare for upcoming decisions and deadlines.\n, • Review and develop the team. Review work prepared by staff, provide timely feedback, answer technical questions, and help colleagues grow in judgment, confidence, and client service.\n, • Maintain quality and accountability. Manage multiple engagements and deadlines while preserving accuracy, documentation, confidentiality, and a high standard of client care.\n, • Improve how the work gets done. Use technology and sound processes to make tax, accounting, and client-delivery workflows more consistent and efficient.\n, • Support the firm. Collaborate with partners and colleagues on special projects, client transitions, business development, and other firm priorities as needed.\n\n \n Requirements: \n\n • Bachelor's degree or equivalent experience in Accounting or Finance\n, • Active CPA license required. Candidates who have completed the exam but do not hold an active license will not meet this requirement\n, • Progressive public accounting experience. Typically 7–10+ years, with preference for a candidate closer to 10 years who has advanced in responsibility and client ownership.\n, • Broad business and owner tax experience. Demonstrated experience with privately held businesses, entrepreneurial clients, tax planning, projections, compliance, and return review.\n, • Financial statement fluency. Strong understanding of the balance sheet, income statement, cash flow, general ledger, adjusting entries, and how accounting decisions affect tax outcomes.\n, • Hands-on QuickBooks Online capability. The candidate must be able to navigate QBO, evaluate the quality of the books, and work through issues with clients and staff.\n, • Tax technology. Experience with CCH Axcess Tax is helpful, but not required; the ability to learn systems quickly is essential.\n, • Review and leadership skills. Experience reviewing work, coaching staff, communicating expectations, and taking ownership of deadlines and deliverables.\n, • Strong client presence. The judgment and communication skills to explain complex matters clearly, ask good questions, and build credibility with business owners.\n, • A team-first approach. Kind, collaborative, accountable, low-ego, and willing to pitch in. Respectful behavior and positive energy are non-negotiable.\n\n \n What is Offered: \n \n The firm offers the rare combination of meaningful client work, direct access to business owners, flexibility, room to grow, and a genuinely people-centered culture. The firm invests in mentoring and professional development, supports wellness, celebrates together after busy season and throughout the year, and gives time and resources back to the community. \n \n Flexible schedule with hybrid work environment \n \n Benefits: \n \n\n • Competitive Salary\n, • PTO is unlimited after 90 days of employment for salaried employees\n, • Sick Days\n, • Medical/Dental/Vision/Life Insurance\n, • Company paid Medical HRA Contribution\n, • Long-term Disability (coverage effective after 90 days of continuous employment)\n, • Section 125 Plan for eligible medical/childcare expenses\n, • Company matched 401k\n, • Tuition reimbursement program\n, • Fitness reimbursement program\n, • Monthly phone stipend\n, • 11 paid holidays are offered, effective with the first day of service\n, • Masseuse offered bi-weekly\n, • Café room and full kitchen with snacks provided\n, • After Tax Season Celebration, Holiday Celebration, Firm outings together\n\n

Senior Director - ITSM \n FTE \n Salary: $180-200k + Benefits & Bonus \n Hybrid – New York, NY \n \n Overview: \n We are looking for an experienced Senior Director to lead and transform enterprise-wide IT support and service management functions for a global organisation. This is a senior leadership position focused on delivering scalable, high-quality IT services, driving operational excellence and partnering with technology and business leadership across multiple regions. \n \n What will you be doing: \n\n • Lead the global IT service delivery strategy, including Help Desk, Level 1/2 support, infrastructure monitoring and IT service management\n, • Oversee Incident, Major Incident, Problem, Change and Configuration Management processes\n, • Drive ServiceNow or similar ITSM platform optimisation, automation, workflow development and reporting\n, • Lead global transformation initiatives focused on standardisation, scalability, process improvement and operational excellence\n, • Manage strategic technology vendors, Managed Service Providers, SLAs and performance\n, • Partner with senior business and technology stakeholders to improve user experience, service reliability and business continuity\n, • Ensure service delivery aligns with regulatory, risk and governance requirements within a highly regulated environment\n\n \n Experience: \n\n • 8+ years’ progressive experience in IT service delivery, infrastructure operations or a similar environment, with 2+ years in a senior leadership position\n, • Proven experience leading global IT support/service delivery organisations across multiple regions\n, • Strong enterprise ITSM experience with ServiceNow\n, • Strong vendor management, stakeholder engagement and transformation experience\n\n \n For more information about this position, get in contact today!

Location: New York City (Hybrid) \n Reports to: VP, Customer Success \n \n About Curacity \n \n Curacity is a two-sided marketplace connecting travel brands that need to be discovered with the publishers, travel writers, and content creators travelers actually trust. Hotels and cruise brands define the editorial coverage they need; our network of publishers and creators produces original content; Curacity coordinates the fulfillment and measures the outcomes. \n \n We operate two products on that network. Newsletter places original editorial recommendations in front of publisher subscriber audiences and ties the resulting bookings back to the content that drove them. Vista AI builds the distributed editorial footprint that determines whether a property gets recommended when a traveler asks ChatGPT, Perplexity, Google AI Mode, or Gemini where to stay. \n \n Curacity partners with publications including AFAR and Travel + Leisure, and was named among Inc. 5000's Top 20 Travel & Hospitality Companies and Digiday's Best Content Marketing Platform of 2024. We are headquartered in New York with an office in Stamford, CT. \n \n About the Role \n \n We're seeking a Senior Customer Success Manager who thrives at the intersection of marketing strategy and performance analytics. You'll partner with marketers and business leaders at companies ranging from independents to major brands, helping them leverage premium media content from outlets like Travel + Leisure, Food & Wine, and AFAR to drive measurable demand, bookings, and revenue. \n \n This role requires someone who understands B2B customer success at scale. You'll need to be equally comfortable discussing marketing strategy with executives and troubleshooting technical integrations with operations teams. You'll work with sophisticated customers who demand proof, not buzzwords—and you'll need analytical thinking, industry knowledge, and the ability to diagnose complex problems without obvious answers. \n \n What You'll Do \n \n\n • Own strategic relationships for a portfolio of high-value accounts, developing deep understanding of each customer's business model, competitive positioning, and growth objectives\n, • Analyze multi-layered performance data like engagement metrics, attribution, and market trends to identify optimization opportunities and deliver actionable recommendations\n, • Lead quarterly business reviews that connect platform performance to broader business objectives, using data to tell compelling stories about impact\n, • Partner with internal teams (Product, Operations, & Partnerships) to advocate for customer needs, refine strategies, and ensure seamless technical implementations\n, • Design and execute testing strategies to continuously improve campaign performance across channels, content types, and audience segments\n, • Identify expansion opportunities based on demonstrated ROI and build champions within customer organizations\n, • Proactively monitor account health and intervene before issues escalate - investigating data discrepancies, diagnosing performance drops, anticipating seasonal challenges\n\n \n Who You Are \n \n\n • 5+ years in Customer Success, Account Management, or a similar external-facing role, owning relationships with enterprise or mid-market accounts\n, • Proven at scale: You’ve managed a book of 50+ customers at once and know how to prioritize, segment, and stay proactive across all of them\n, • HubSpot proficient: You run your day out of a CRM and have used HubSpot to track accounts, pipeline, and customer health\n, • Automation-minded: You’ve built workflows, sequences, or integrations that remove manual work from the customer lifecycle\n, • AI fluent: You use AI tools in your daily work and can speak credibly with customers about AI-driven products and insights\n, • Business fluent: You understand your customers’ business models, competitive dynamics, and economic drivers; can discuss marketing performance and ROI intelligently\n, • Analytically sharp: Comfortable with performance data, attribution models, and spotting patterns without drowning in spreadsheets\n, • Strategic communicator: Experienced presenting to internal leadership as well as customer executives; explain technical concepts without jargon\n, • Intellectually curious: Approach ambiguous problems as puzzles to solve; energized by complexity; have strong opinions loosely held\n, • Customer-centric operator: Balance empathy with accountability; build trust through reliability and actually knowing customers’ business; view criticism as valuable data\n, • Hospitality, marketing technology, or media experience preferred\n\n \n The salary range for this role is $125,000-$145,000. Curacity offers a competitive package which includes base salary, equity, and a comprehensive benefits package. Exact compensation is determined based on a number of factors including experience, skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our team during the hiring process. In addition to the salary range listed, this role is eligible for commission-based compensation. \n \n What We Offer \n \n Curacity offers a competitive package which includes base salary, equity, and comprehensive benefits, including: \n \n\n • Healthcare: Comprehensive medical and dental insurance plans, long-term disability policy, generous company contribution\n, • Retirement: 401(k) match – up to 4% of your total eligible compensation matched dollar-for-dollar (US-based employees)\n, • Flexibility: Hybrid Work for NYC-Based Roles: Virtual (2 Days); In-office (3 Days); Multiple “work from anywhere” periods/year\n, • PTO: Generous PTO policy, in addition to 10+ public holiday closure dates\n, • Wellness: $100 monthly stipend for health and wellness-related activities\n, • Recognition: Birthday, anniversary, and other everyday surprises and gifts to recognize our team members\n, • Culture: Casual, collaborative (and dog-friendly!) work environment in the heart of Flatiron\n\n \n Equal Opportunity \n \n Curacity is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, including pregnancy, childbirth, or related medical conditions, sexual orientation, gender identity or expression, age, national origin, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable federal, state, or local law.

\n Who Are We? \n Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. \n \n Compensation Overview \n The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. \n \n Salary Range $136,100.00 - $224,500.00\n \n Target Openings 1\n \n What Is the Opportunity? Travelers offers the strength of a national legal organization committed to your professional development while maintaining a local focus, positioning you as a strong business partner and trusted advisor who delivers exceptional value through local expertise and outstanding client service. We handle litigation arising from claims asserted against policyholders or the company and take cases from inception through trial and appeal. As a Senior Counsel with Travelers you will be responsible for high quality, proactive case handling and will have the opportunity to use your legal expertise and litigation skills to independently handle a caseload of higher exposure cases and more complex litigation matters, including Major Case and Complex Claim matters depending on line of business. You will deliver optimal results for Travelers' insured customers and will mentor less experienced attorneys.\n What Will You Do? \n \n • In the independent handling of a caseload of higher exposure cases and most complex litigation matters, including Major Case and Complex Claim depending on line of business, your responsibilities will include:\n, • Leverage trial experience to apply effective use of litigation skills and techniques to try cases to verdict or negotiate resolution.\n, • Conduct advanced legal research and demonstrate strong and persuasive legal writing and presentation skills.\n, • Draft substantive pleadings, motions, briefs, discovery and other legal documents.\n, • Attend court events, depositions, and other appointments independently.\n, • Provide in-depth, substantive case analysis and recommendations to insured clients and Claim partners on file handling strategies.\n, • Collaborates with expert witnesses and consultants to develop case strategies, evaluate technical matters, and prepare compelling testimony for litigation.\n, • Build and maintain strong internal and external client and business partner relationships, including independent responsibility for managing client and business partner relationships.\n, • Provide internal and external training, seminars and legal updates to insured clients and Claim partners.\n, • Provide leadership through mentoring other attorneys and legal support staff.\n, • Initiate special projects and identifies other opportunities to support office goals/business needs.\n, • Fully and effectively utilize available technology, case management system and automation.\n, • Travel as required to meet business needs.\n, • Perform other duties as assigned.\n \n What Will Our Ideal Candidate Have? \n \n • 7+ years of insurance defense litigation experience as a practicing attorney.\n, • Strong aptitude for trying cases to a jury; proven track record of litigating jury trials, with a history of successful courtroom outcomes\n, • Demonstrates strong technical knowledge in the practice area(s) and the ability to effectively communicate complex information on litigated matters to diverse audiences.\n, • Advanced oral and written advocacy skills, with a demonstrated track record of summary judgment and/or appellate successs.\n, • Possesses in-depth knowledge of the bench, bar, local jurisdictional practices, adversaries.\n, • Excels in fostering collaborative relationships with colleagues, customers, and business partners to deliver exceptional customer service\n, • Demonstrates strong leadership through mentoring and influencing skills.\n, • Exercises sound decision making and possesses advanced negotiation skills.\n, • Effectively manages multiple priorities with an attention to detail, sense of urgency & responsiveness.\n, • Possesses a flexible and agile mindset with a willingness to take on new challenges as needs evolve.\n \n \n What is a Must Have? \n \n • Juris Doctorate or equivalent International legal degree; graduate of an accredited law school.\n, • 7 years experience as a practicing attorney.\n, • Active license in good standing to practice law in the state(s) in which representation is required.\n, • Regularly handles hearings, trials, dispositive motion arguments, depositions, or other court proceedings and has the ability to transport to those meetings. Valid driver's license required depending on the location.\n \n \n What Is in It for You? \n \n • Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.\n, • Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.\n, • Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.\n, • Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.\n, • Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.\n \n \n Employment Practices \n Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. \n \n In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. \n \n If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. \n \n Travelers reserves the right to fill this position at a level above or below the level included in this posting. \n \n To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/. \n

A career at Whole Foods Market is more than just the work you do- it's about your personal growth and creating meaningful change. Our purpose is to nourish people and the planet. That means improving how people eat, funding grants for school gardens, providing access to fresh and healthy food to people living within food deserts, alleviating poverty in developing countries, and so much more. Working with us means you are making a difference within your community and beyond. We aren't just a grocery store: we're world-changers. And with your help, we will continue to set the standards of excellence and revolutionize the grocery industry. \n\n Support exceptional customer experiences by preparing customer orders for delivery and pickup. Shoppers prepare orders for everyday goods including produce, meat, dairy, household items, prepared foods, specialty cheeses, wine, and beer.This role requires schedule flexibility to work peak hours including weekends (Saturdays and Sundays), early mornings, midday, and evenings, holidays and peak holiday seasons (November through January). Schedules are issued 14 days in advance, and the average shift length is 4-8 hours.As an In-Store Shopper, you’ll work on the Customer Service & E-Commerce teams supporting and preparing customer orders for delivery and/or pickup. While our offerings will continue to evolve, you’ll shop throughout our store for everyday goods including produce, meat, dairy, household items, prepared foods, specialty cheeses, wine, beer and more. Having a flexible schedule is key to meeting our customers’ needs. We especially need Team Members who can work on Saturday and Sunday – our busiest times of the week! Shoppers with the ability to work nights, weekends, and holidays are preferred. \n \n \n Job Responsibilities \n \n • Fulfills online orders efficiently, accurately and with a sense of urgency using handheld technology and/or fixed devices\n, • Ensure product and order accuracy through meticulous verification and quality control processes\n, • Learn and apply product knowledge, customer service standards, and store operations to deliver exceptional customer experiences\n, • Keep staging area organized and free of clutter \n, • Handle in-store and online order returns and pickups\n, • Comply with government regulations such as age verification requirements for restricted items\n, • Assist with customer inquiries and provide store information\n, • Maintain knowledge of product and promotional events \n, • Maintain a positive work environment\n, • Communicate clearly, collaboratively and courteously\n, • Attend all meetings assigned by Leadership, including daily huddles\n, • Support company program and initiatives, inclusive of varied checkout options, store formats and all product assortment, tools, and technology\n, • Maintains operational standards including but not limited to safety and store security protocols\n, • Ensure adherence to all company policies, procedures, and regulatory requirements\n, • Performs other duties as assigned by store or company leadership\n \n \n Job Skills & Requirements \n \n • Strong customer service, hospitality and problem-solving skills\n, • Detail-oriented with multi-tasking capabilities\n, • Flexible availability including nights, weekends, and holidays\n, • Adaptability to work in high demand / peak hours\n, • Willingness and ability to cross-train to support other teams and tasks\n, • Adaptability to learn new technology-driven solutions\n, • Thrive in a fast-paced retail environment\n, • Clear communication and team collaboration skills\n \n \n Qualifications \n \n • No prior retail experience required\n, • High school diploma or equivalent preferred\n, • Sufficient English language proficiency to prepare and shop customer orders \n, • Must be 18+ years old\n \n \n Physical Requirements / Working Conditions \n \n • Stand/walk for 4-8 hours per shift\n, • Lift up to 50 pounds\n, • Work in various temperature environments (freezer to 90°F)\n, • Perform tasks in outdoor and indoor environments\n, • Perform repeated motions: bending, reaching, grasping, twisting, squatting\n, • Operate standard retail equipment safely\n, • Exposure to FDA approved cleaning chemicals\n, • May require use of ladders and other E-Commerce equipment\n \n \n \n The wage range for this position is $18.75-$25.40 Hourly, commensurate with experience. Whole Foods Market offers "Whole Benefits". Whole Benefits offers a wide range of benefits for Full and Part-Time Team Members, including eligibility for a store discount, paid time off, financial wellness, health & wellness support programs, and access to other Team Member perks. Eligibility for Whole Benefits is determined under the terms of the applicable Whole Benefits plan at a person’s date of hire and may vary based on work location, length of service, and job type (such as regular or seasonal). Click here for benefit details.\n \n \n New entry level Team Members who successfully complete their first 90-days of employment and who remain actively employed in an eligible role, may be eligible for a base rate increase after their 90-day anniversary.\n \n \n At Whole Foods Market, we provide a fair and equal employment opportunity for all Team Members and candidates regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity/expression, age, marital status, disability, or any other legally protected characteristic. Whole Foods Market hires and promotes individuals solely based on qualifications for the position to be filled and business needs.\n \n \n Whole Foods Market works with job sites like Indeed, LinkedIn, and ZipRecruiter to promote opportunities at our company. Please be aware that other career sites may not be accurate or up to date and may even be fraudulent. We encourage and recommend all candidates to apply via our site.\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).

\n Who Are We? \n Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. \n \n Compensation Overview \n The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. \n \n Salary Range $112,000.00 - $184,800.00\n \n Target Openings 1\n \n What Is the Opportunity? Travelers offers the strength of a national legal organization committed to your professional development while maintaining a local focus, positioning you as a strong business partner and trusted advisor who delivers exceptional value through local expertise and outstanding client service. We handle litigation arising from claims asserted against policyholders or the company and take cases from inception through trial and appeal. As a Counsel with Travelers you will be responsible for high quality, proactive case handling and will have the opportunity to use your legal expertise and litigation skills to handle a caseload of predominantly low to moderate complexity and deliver optimal results for Travelers' insured customers.\n What Will You Do? \n \n • In the handling of a caseload of predominantly low to moderate complexity, your responsibilities will include:\n, • Develop and apply effective use of litigation skills and techniques to try cases to verdict or negotiate resolution.\n, • Conduct legal research and demonstrate strong and persuasive legal writing and presentation skills.\n, • Draft pleadings, motions, briefs, discovery and other documents.\n, • Attend court events, depositions, and other appointments independently.\n, • Provide case analysis and recommendations to insured clients and claim partners on file handling strategies.\n, • Build and maintain strong internal and external client and business partner relationships.\n, • Provide advice and training to Claim partners and clients.\n, • Fully and effectively utilize available technology, case management system and automation.\n, • Travel as required to meet business needs.\n, • Perform other duties as assigned.\n \n What Will Our Ideal Candidate Have? \n \n • 3+ years of insurance defense litigation experience as a practicing attorney.\n, • Experience independently handling cases from inception through trial/hearing & appeal.\n, • Strong communication skills, with the ability to present information on litigated matters to diverse audiences\n, • Skilled in fostering collaborative relationships with colleagues, customers, and business partners to deliver exceptional customer service\n, • Demonstrates persuasive legal writing skills and oral advocacy skills.\n, • Strong legal research skills & ability to utilize technology.\n, • Effectively manages multiple priorities with an attention to detail, sense of urgency & responsiveness.\n, • Exercises sound decision making and possesses strong negotiation skills.\n, • Possesses a flexible and agile mindset with a willingness to take on new challenges as needs evolve.\n \n \n What is a Must Have? \n \n • Juris Doctorate or equivalent International legal degree; graduate of an accredited law school.\n, • 2 years experience as a practicing attorney.\n, • Active license in good standing to practice law in the state(s) in which representation is required.\n, • Regularly handles hearings, trials, dispositive motion arguments, depositions, or other court proceedings and has the ability to transport to those meetings. Valid driver's license required depending on the location.\n \n \n What Is in It for You? \n \n • Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.\n, • Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.\n, • Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.\n, • Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.\n, • Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.\n \n \n Employment Practices \n Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. \n \n In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. \n \n If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. \n \n Travelers reserves the right to fill this position at a level above or below the level included in this posting. \n \n To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/. \n

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.

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).

Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter. This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today. Driving Technology Adoption, Consumption, and Growth Lumen is evolving how we sell by bringing deeper technology fluency, consultative discovery, and business-outcome conversations into every customer engagement. Our Acceleration and Growth team offers multiple distinct opportunities to help shape this journey while building your own expertise as a technology-focused seller. This is an opportunity to be part of meaningful change - help define how we engage, advise, and support customers as their technology needs become more complex. If you are energized by building trusted relationships, shaping a more consultative customer experience, and making a visible impact as our sales approach evolves, this role offers the chance to help lead that change. As an Account Director Senior Large Enterprise Forward Deployed, you will own growth across large, important, and potentially global enterprise accounts by translating customer business priorities into measurable outcomes enabled by Lumen’s network, cloud, security, managed services, and orchestration portfolio. As the Account Director Senior, you operate independently from acquisition through modernization, activation, adoption, consumption, and expansion. You set account strategy, shape and negotiate commercial terms, mobilize cross-functional resources, and advise executive stakeholders. Your broad command of customer economics, markets, technology, and complex buying environments makes you a trusted expert to customers and colleagues. • Own and execute a self-directed strategy for a portfolio of large, important, or global accounts, grounded in each customer’s business model, financial priorities, operating risks, technology estate, market context, and competitive position., • Anticipate needs before they become formal requirements; develop points of view and use cases that connect modernization to growth, efficiency, resilience, risk reduction, and innovation., • Build qualified pipeline through executive relationships, account intelligence, focused prospecting, partners, marketing, and business development., • Prioritize investments and resources based on customer potential, solution fit, buying signals, competitive dynamics, and revenue opportunity., • Lead discovery across executive, business, technical, operational, and financial stakeholders to define the problem, value at stake, decision path, and urgency to act., • Integrate relevant capabilities across Lumen and its partners into a coherent outcome; direct architects and specialists through clear commercial and customer objectives while they own technical design and validation., • Build quantified business cases covering expected value, investment, implementation requirements, risk, and cost of inaction., • Develop customers’ and colleagues’ understanding of business, market, and solution tradeoffs; influence executive sponsors, economic buyers, technical decision makers, and internal champions., • Own new-logo acquisition and expansion against assigned sales, revenue, and consumption goals., • Lead complex, high-value sales cycles through qualification, validation, pricing, negotiation, procurement, legal review, and close., • Exercise substantial commercial discretion—and, within company governance, full authority to shape and negotiate product, service, pricing, and contract terms., • Establish mutual action plans, decision criteria, stakeholder commitments, milestones, and activation dates; surface risks and dependencies early., • Plan and manage the account resource model, mobilizing sales, technical, delivery, customer success, channel, and partner teams without relying on formal authority., • Retain commercial ownership through implementation and activation; hold downstream partners accountable for customer readiness, delivery commitments, adoption, and value realization., • Use consumption data and customer signals to remove adoption barriers, address underutilization, anticipate revenue risk, and identify expansion across workloads, locations, and business units., • Convert demonstrated value into modernization, additional use cases, broader executive relationships, recurring revenue, and sustained growth., • Serve as a recognized expert across business, financial, market, customer, and portfolio domains; coach peers and contribute account insight that improves sales approaches and solution fit., • Activate channel and technology partners through joint targeting, account planning, and selling, with clear ownership and measurable outcomes., • Use AI, agents, and automated workflows to improve research, prioritization, outreach, follow-through, and opportunity management; validate outputs and apply sound judgment., • Maintain rigorous qualification, stakeholder maps, next steps, forecasts, and CRM records., • 8+ years of enterprise sales experience and sustained quota achievement, with evidence of performance at the scope and complexity described above., • Success acquiring and expanding large, important, or global enterprise accounts and closing complex deals with multimillion-dollar total contract value., • Broad expertise across customer business and financial drivers, enterprise technology markets, complex buying environments, and relevant solutions such as networking, cloud, security, managed services, or enterprise software., • Demonstrated authority and judgment in structuring and negotiating complex product, service, pricing, and contract terms with senior customer leaders., • Technical fluency to lead credible discovery, recognize solution opportunities, and direct architects and specialists effectively., • Experience planning account strategy independently and orchestrating colleagues and partners across the full customer lifecycle without formal authority., • Understanding of recurring-revenue and consumption-based models, including how activation, adoption, and usage create customer value and revenue growth., • Practical experience using AI and automation to improve sales execution, with disciplined validation of outputs., • Executive presence, sound judgment, and an ownership mindset; you make decisions, surface risk early, give direct feedback, and take responsibility for outcomes. This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Location Based Pay Ranges $126,518 - $168,683 in these states: FL GA PA $132,847 - $177,122 in these states: NC $139,166 - $185,552 in these states:DC MA NJ NY VA Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's: _ _ #projectvelocity Requisition #: 344252 Life at Lumen Life at Lumen is human and connected, even in a fast moving, AI‑focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win. To learn more about Life at Lumen and how we live the Lumen 8, please visit: _ Background Screening If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our _. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Employment Opportunities We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. Privacy Notice Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data. To review Lumen’s Global Employment Applicant and Talent Community Privacy Notice, please visit: _ Disclaimer The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Founded over 35 years ago, First Quality is a family-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members, while maintaining our family values and entrepreneurial spirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Quality group produce high-quality personal care and household products for large retailers and healthcare organizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions. In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions. \n \n Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you’ll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better®. \n \n THIS INTERNSHIP IS AN IMMEDIATE NEED AND THE EXPECTATION IS TO WORK PART TIME DURING THE SCHOOL SEMESTERS. \n \n LOCAL CANDIDATES ONLY - MUST BE CURRENTLY ENROLLED IN A BACHELOR'S DEGREE PROGRAM \n \n Finance Intern/Co-op – Process Improvement (Part-Time, with Full-Time Potential) \n Location: Great Neck, NY (hybrid) \n Position Type: Part-time (15–25 hours per week) \n Ideal Candidate: Student in their third or final year of college \n Potential Outcome: Strong performers will be considered for full-time hire upon graduation \n \n About the Role \n We are seeking a motivated college student for a part-time Finance Co-op focused on process improvement, including automation, projects. This opportunity is well suited for candidates interested in consumer products or industrial manufacturing companies, where finance and other business processes often support complex operations, supply chains, inventory, costing, and multi-site reporting. You will help analyze workflows, reduce manual effort, and support automation initiatives that improve accuracy and efficiency across finance and business operations. Successful co-op who demonstrate strong performance, initiative, and cultural fit will be considered for full-time positions upon graduation. \n \n Key Responsibilities: \n • Support the analysis of current finance and business processes to identify inefficiencies and automation opportunities. \n • Document current-state and future-state workflows, create or update standard operating procedures (SOPs), and support process mapping. \n • Assist with automation projects, including requirements gathering, developing and testing, and implementation support for tools such as advanced Excel, Power Query, Power Automate, dashboards, or RPA solutions. \n • Track project progress, participate in meetings, and help measure results (time savings, error reduction, faster cycle times). \n • Collaborate with finance, accounting, operations and other stakeholders to ensure solutions meet business needs. Qualifications \n \n Required qualifications: \n • Currently enrolled in the third or final year of a bachelor’s degree program in Finance, Accounting, Business Administration, Information Systems, Economics, or a related field (expected graduation within the next 12-24 months). \n • Strong prioritization and project management skills, including timely, and proactive communication of timelines, and status \n • Continuous process improvement mindset • Intellectual curiosity to help get to the best solutions \n • Tech savvy \n • Analytical thinking, attention to detail, and clear written and verbal communication skills. \n • Ability to manage a consistent part-time schedule that accommodates remaining coursework. \n Preferred qualifications: \n • Interest in consumer products, industrial manufacturing, or related industries (supply chain, operations, or multi-site finance environments). \n • Coursework, projects, or experience involving process improvement, data analysis, systems, or automation. \n • Familiarity with Power BI, Power Query, Power Automate, basic SQL, Python, or RPA platforms. \n • Prior internship, co-op, or relevant project experience in finance, accounting, or operations. \n \n What We Offer \n • Meaningful, project-based experience in finance and business process improvement and automation during your final year of college. \n • Mentorship from finance professionals and cross-functional collaboration. \n • Flexible part-time schedule designed around academic commitments. \n \n First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. \n \n First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status.

Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity. \n We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety HMO and PPO options. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture! \n NeoGenomics is looking for a Senior Manager, DTS Digital Health (Epic Systems) who wants to continue to learn in order to allow our company to grow. This is a hybrid in office position to work out of either our Ramsey, NJ or Fort Myers, FL site. \n Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics: \n As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory. \n Position Summary: \n As the Sr Manager, DTS Digital Health you will lead the governance, prioritization, and delivery of a portfolio of enterprise digital platforms supporting the Enterprise Commercial function focused primarily on Epic systems. This role serves as the strategic operational partner for the Digital Transformation Services (DTS) organization as the primary Business Relationship Manager (BRM) for our Digital Health initiatives and establishes the operating model for cross-functional demand management, ensuring business priorities are aligned, sequenced, and translated into executable delivery plans. You will also lead and develops a team, facilitates governance and prioritization forums, and partners with business leaders, technology teams, and vendors to deliver scalable digital solutions that drive operational excellence and business value. \n Responsibilities: \n\n • Lead the governance, prioritization, and delivery of a portfolio of enterprise digital platforms, establishing a structured operating model for demand intake, decision-making, and roadmap management\n, • Serve as the DTS primary technical SME and contact for the Epic Aura platform, establishing and managing the intake, prioritization, governance, and delivery of business capabilities while coordinating dependencies and integration requirements across Epic Beaker, Epic Bridges, Care Everywhere, and related Epic interoperability solutions.\n, • Serve as the DTS primary technical SME for Flatiron Molecular Profiling Integration (MPI) platform, collaborating with business stakeholders, vendors, and internal technology teams to define requirements, manage platform enhancements, oversee integrations, and drive delivery of strategic initiatives supporting precision medicine and oncology workflows.\n, • Develop and maintain platform roadmaps that align business priorities, technology initiatives, and operational support activities with organizational strategy and the Digital Technology Services (DTS) roadmap\n, • Facilitate governance and prioritization forums, balancing business value, regulatory requirements, technical health, and resource capacity to drive transparent investment decisions\n, • Provide executive-level reporting on platform health, delivery progress, risks, dependencies, and strategic initiatives to support informed decision-making\n, • Serve as the primary relationship manager for business stakeholders across multiple functions, translating business objectives into prioritized, actionable technology solutions\n\n Education, Experience & Qualifications: \n\n • Bachelor’s Degree in Business, Information Systems, Computer Science, or related field\n, • 5 years of progressive experience required, 8 preferred, in technology delivery, platform management, or business systems roles, with 2+ years directly managing people.\n, • Demonstrated experience leading governance, demand management, and prioritization for a portfolio of enterprise platforms or applications supporting multiple business functions with competing priorities\n, • Current Epic Care Everywhere Certification required, with demonstrated experience supporting reference laboratory workflows within the Epic ecosystem, including provider connectivity, external organization onboarding, clinical data exchange, laboratory order and result integration, interoperability initiatives, and collaboration with stakeholders supporting Epic Aura, Epic Beaker, Epic Bridges, and Care Everywhere workflows.\n, • Experience leading or supporting complex healthcare integration initiatives, including molecular profiling, precision medicine, oncology technology platforms, laboratory systems, or external partner integrations. Experience with Flatiron Molecular Profiling Integration (MPI) or similar oncology-focused data exchange solutions is preferred.\n, • Hands-on experience leading Scrum or hybrid Agile delivery across multiple concurrent teams, including dependency management and release planning\n, • Proven ability to deliver technology initiatives through the full project lifecycle, from business case and project charter through implementation, go-live, and hypercare\n\n \n \n \n \n PIb782e7c1a726-25405-41965752

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).

Responsibilities \n\n • Disaster Recovery Program Management\n, • Disaster Recovery Testing & Readiness\n, • Cross-Functional Coordination & Reporting\n, • Governance, Compliance & Continuous Improvement\n\n \n Required Qualifications \n\n • Bachelor's degree in Information Technology, Computer Science, Business Administration, Public Administration, or a related field.\n, • 5+ years of progressively responsible IT project management experience.\n, • 3+ years of experience managing disaster recovery, business continuity, or IT infrastructure projects.\n, • Strong knowledge of disaster recovery planning, business continuity principles, and enterprise IT resilience.\n, • Experience managing technical projects involving infrastructure, applications, networks, databases, or cloud environments.\n, • Understanding of Recovery Time Objectives (RTO), Recovery Point Objectives (RPO), and Business Impact Analysis (BIA).\n, • Experience coordinating technical teams, vendors, and business stakeholders across complex IT initiatives.\n, • Strong project planning, scheduling, risk management, issue tracking, and executive reporting capabilities.\n, • Ability to develop and maintain disaster recovery plans, procedures, technical documentation, and project artifacts.\n, • Familiarity with project management and collaboration tools such as Microsoft Project, Jira, ServiceNow, SharePoint, or Visio.\n\n

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.

Long Island, NY | $100,000 + Benefits | Full-Time This Jobot Job is hosted by: Andrew Harrison Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $100,000 - $125,000 per year A bit about us: A well-established and growing Long Island plaintiff personal injury law firm is seeking an experienced Director of Intake / Intake Department Leader to lead and improve its high-volume intake operation. This is a hands-on leadership role for someone who understands that intake is both client service and a measurable business function. You’ll oversee the team, lead conversion, performance metrics, training, workflows, technology and the overall potential-client experience. Why join us? This is an opportunity to step into a high-impact leadership role with an established and growing plaintiff personal injury firm. You’ll have real ownership of the Intake Department and the ability to directly influence how the firm attracts, converts and serves new clients. $100K+ salary + benefits Senior leadership role with direct access to firm leadership Take ownership of an established, high-volume Intake Department Opportunity to build and develop your team Implement new processes, technology, automation and AI Use real data and KPIs to drive performance and improve conversion Make a measurable impact on the continued growth of the firm Join an established plaintiff PI practice handling significant cases across multiple practice areas Job Details What We’re Looking For: 5+ years of progressive leadership experience in legal intake, plaintiff PI, client acquisition, lead conversion or a comparable high-volume operation Experience managing an intake, call center or lead-conversion team Strong understanding of KPIs, conversion metrics and performance reporting Experience improving processes and holding teams accountable Strong leadership, coaching and analytical skills Experience with CRM, case-management, call-tracking or intake technology 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

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 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).

Senior Research Analyst \n Location: Roseland, NJ \n Compensation: $95,000 – $115,000 \n Schedule: Hybrid | Monday – Friday, 9:00 AM – 5:30 PM (Time zone to be confirmed) \n \n The successful candidate will serve as a trusted research advisor to attorneys, paralegals, and business services professionals, providing sophisticated legal and business research, reference services, and strategic research guidance across multiple practice areas. This position offers the opportunity to contribute to the firm's knowledge management initiatives, emerging technology adoption, and research innovation efforts, including the integration of AI-assisted research tools. The ideal candidate will possess strong legal research expertise, exceptional analytical capabilities, and a demonstrated ability to translate complex information into practical, actionable insights. \n \n Key Responsibilities \n Legal & Business Research \n\n • Provide sophisticated legal, business, and competitive intelligence research to attorneys, paralegals, and professional staff.\n, • Clarify research objectives, assess urgency, and identify the most effective research strategies and resources.\n, • Analyze and synthesize complex information into clear, accurate, decision-ready deliverables.\n, • Advise attorneys on research methodologies, database selection, and cost-effective research strategies.\n, • Support legal research across diverse practice areas and subject matters.\n, • Monitor legal developments, court dockets, industry news, and relevant business intelligence.\n\n Research Technology & Innovation \n\n • Evaluate and utilize advanced legal research platforms, including Westlaw, Lexis, and emerging AI-assisted research tools.\n, • Provide guidance on responsible AI-assisted research practices, including verification and validation of AI-generated information.\n, • Identify, evaluate, and recommend new research databases, tools, and technologies.\n, • Participate in technology trials, product evaluations, and research innovation initiatives.\n, • Stay current on developments in legal research technology and artificial intelligence.\n\n Knowledge Management & Resource Development \n\n • Support firmwide knowledge management programs and initiatives.\n, • Develop and maintain research resources, practice group intranet content, and knowledge-sharing platforms.\n, • Collaborate with attorneys and professional staff to improve access to research materials and institutional knowledge.\n, • Support research collection development and vendor resource evaluations.\n, • Manage research requests and workflow through established request management systems.\n\n Training & Professional Development \n\n • Deliver individual and group training sessions on research databases, legal technology, and knowledge management resources.\n, • Develop training materials, instructional videos, and orientation resources for attorneys and staff.\n, • Support new-hire research training and ongoing professional development programs.\n, • Share emerging research best practices with colleagues and internal stakeholders.\n, • Maintain professional expertise through continuing education, conferences, webinars, and industry engagement.\n\n \n Required Qualifications \n\n • Master of Library Science (MLS) or equivalent library science master's degree required.\n, • Minimum of four years of progressively responsible legal research experience, preferably within a law firm or comparable professional-services environment.\n, • Advanced proficiency with legal and business research databases, including Westlaw, Lexis, and comparable platforms.\n, • Familiarity with emerging AI-assisted research technologies and their applications within legal research.\n, • Demonstrated ability to critically evaluate AI-generated research and validate underlying sources.\n, • Strong analytical skills and ability to synthesize complex information into practical recommendations.\n, • Excellent written and verbal communication skills.\n, • Ability to manage competing priorities and meet deadlines in a fast-paced environment.\n, • Strong client-service orientation and ability to collaborate with attorneys and professional staff.\n, • Sound professional judgment and discretion when handling confidential information.\n\n \n Preferred Qualifications \n\n • Experience with Harvey or other generative AI platforms used within the legal industry.\n, • Familiarity with SharePoint and knowledge-sharing platforms.\n, • Experience supporting research training, knowledge management, or technology implementation initiatives.\n, • Exposure to research workflow management systems such as Quest.\n, • Experience evaluating research vendors, databases, and information resources.\n, • Background supporting multiple legal practice groups within a sophisticated law firm environment.\n

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).

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).

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).

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).

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).

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

Job Title: LoanIQ Application Support Engineer \n Location: Jersey City NJ \n \n Job description \n Job Summary \n We are looking for an experienced LoanIQ Production Support Lead to lead endtoend production support incident management and operational stability for the LoanIQ platform and its integrated ecosystem The ideal candidate should have strong handson LoanIQ support experience excellent troubleshooting capabilities and solid technical exposure across NET Oracle SQL Server J2EE UNIX Informatica MQ Mule and OpenShift \n The role requires strong experience in highseverity incident management root cause analysis monitoring release support and continuous service improvement \n Key Responsibilities \n\n • Lead endtoend LoanIQ production support and maintain overall platform stability\n, • Manage highseverity incidents service restoration escalations and problem followups\n, • Troubleshoot LoanIQ batch processing job failures feeds files and integration issues\n, • Investigate upstream and downstream applicationinterface failures\n, • Proactively monitor production health and identify potential operational risks\n, • Analyze business impact and recommend appropriate risk mitigation and preventive actions\n, • Use Splunk and Dynatrace for monitoring troubleshooting log analysis and performance investigation\n, • Support LoanIQ releases upgrades implementations infrastructure changes and production deployments\n, • Troubleshoot application and platform issues across NET Oracle SQL Server J2EE UNIX Informatica MQ Mule and OpenShift\n, • Perform root cause analysis RCA for recurring and critical production issues\n, • Maintain support runbooks operational procedures knownerror documentation defects and workarounds\n, • Provide timely incident status and escalation communication to business and technology stakeholders\n, • Partner with business CIO infrastructure vendor engineering and platform teams\n, • Participate in oncall support for critical incidents weekend deployments infrastructure changes disaster recovery exercises and industry testing\n, • Drive continuous improvement automation operational resilience and service stability\n\n Required Skills \n\n • Proven years of experience in application development andor production support\n, • Strong handson experience supporting the LoanIQ platform in production\n, • Strong experience in L2L3 Production Support and Incident Management\n, • Experience handling P1P2 or highseverity production incidents and service restoration\n, • Strong troubleshooting experience involving batch jobs feeds files interfaces and integrations\n, • Technical knowledge of NET Oracle SQL Server J2EE UNIX Informatica MQ Mule and OpenShift\n, • Strong understanding of application monitoring log analysis and production health monitoring\n, • Experience with root cause analysis problem management and operational risk management\n, • Experience supporting production releases deployments upgrades and environment changes\n, • Strong stakeholder management communication and documentation skills\n, • Ability to participate in an oncall and afterhours production support rotation\n\n Desired Skills \n\n • Strong experience with Splunk and Dynatrace\n, • Knowledge of ITSM ITIL processes including Incident Problem and Change Management\n, • Experience supporting complex financial or banking applications\n, • Exposure to disaster recovery and business continuity exercises\n, • Experience working with infrastructure middleware database product and vendor teams\n\n Primary Skills \n LoanIQ Production Application Support Incident Problem Management UNIX Oracle SQL Server NET J2EE Informatica MQ Mule OpenShift Splunk Dynatrace RCA BatchJob Support \n Skills \n Mandatory Skills : Dynatrace, MySQL, Oracle Linux Administration, Splunk \n Good to Have Skills : Critical Incident Response, Major incident management \n \n We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. \n \n https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf

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.

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 Description • We are hiring immediately for full time SERVICE TECHNICIAN positions., • Location: Coffee Distributing Corp - 200 Broadway, New Hyde Park, NY 11040. Note: online applications accepted only., • Schedule: Full time schedule. Monday through Friday; 7:00 am to 3:30 pm. Further details upon interview., • Requirement: Previous technical experience in specialty coffee and water equipment required., • Pay Range: $28.00 per hour to $33.00 per hour., • Additional Job Duties and Responsibilities:, • Perform preventive maintenance, inspections, and repairs on specialty coffee equipment at customer locations to ensure reliable operation and minimize downtime., • Diagnose and resolve mechanical, electrical, hydraulic, and plumbing issues, accurately identifying equipment problems and completing necessary repairs., • Respond promptly to service calls and equipment-down situations, providing efficient, professional support to restore equipment to working condition., • Test, calibrate, and evaluate equipment after service or repairs to verify proper performance, functionality, and operational standards., • Build strong relationships with customers by clearly communicating repair recommendations, maintenance needs, and best practices for proper equipment care. *Internal Employee Referral Bonus Available The advertised program is a conversational recruiting assistant that helps you apply to jobs with Compass Group. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: http://olivia.paradox.ai/moSkg About Canteen: Canteen brings break time to everyone. We combine food, service, and experience backed by industry-leading technology to help companies create a better workplace and connect their employees. Canteen’s solutions include markets, office coffee and snacks, unattended retail, and culinary. Our people are at the heart of everything we do. Their dedication, collaboration, and passion fuel our growth. Interested in joining our team? You bring the enthusiasm, customer service, and commitment; we’ll supply the opportunity and innovation. Together, we’ll continue to transform our industry. Come for the job, stay for the career. We are Canteen. Job Summary Summary: Repairs, maintains and assists in the installation of vending machines and equipment. Essential Duties and Responsibilities: • Responds to dispatch calls for machine repairs using company-owned vehicle., • Calls on existing customers to determine adequacy of service; listens to and resolves service complaints., • Visually inspects and listens to machines to determine causes of malfunctions; dismantles machines to gain access to problem area., • Inspects parts to detect wear, misalignment or other problems; removes and replaces worn or defective parts; repairs broken parts; realigns and adjusts components; tests machine operation following repair., • Reviews inventory and orders parts; ships and receives machines; maintains equipment inventory., • Prepares machines for installation at accounts; assists in installations and removals., • Sets up and operates mechanical equipment and small hand tools, such as drills, grinders and welding torches, for machine repair., • Performs other duties as assigned. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. Associates at Canteen are offered many fantastic benefits. Full-time and part-time positions offer the following benefits to associates: Retirement Plan, Associate Shopping Program, Health and Wellness Programs, Discount Marketplace, Identity Theft Protection, Pet Insurance, Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Legal Services, and Choice Auto and Home Program Full-time positions also offer the following benefits to associates: Medical, Dental, Vision, Life Insurance/AD, Disability Insurance, Commuter Benefits, Employee Assistance Program, Flexible Spending Accounts (FSAs). Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. https://www.compass-usa.com/wp-content/uploads/2023/08/2023WageTransparencyCanteen.pdf About Compass Group: Achieving leadership in the foodservice industry Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ Applications are accepted on an ongoing basis. Canteen maintains a drug-free workplace. Req ID:1576290 Canteen

Job Description Beware of Recruitment Fraud: We are committed to protecting job seekers from recruitment fraud. Please be aware that all official communication regarding opportunities with our firm will come exclusively from an email address ending in @RoseNYC.com. We will never request payment, financial information, or sensitive personal documentation during the application process, and we will never extend a job offer without first conducting a formal in-person interview. If you receive a message that appears suspicious or does not originate from this domain, please mark it as spam or phishing and report it to us directly at recruiting@rosenyc.com. Overview Rose Associates is a recognized market leader in multifamily and mixed-use real estate. Based in New York City, we own, develop and operate leading properties in urban markets from Philadelphia to Boston and across all residential asset classes, including market, regulated, workforce and affordable housing. Our dynamic services platform spans development, construction, property and asset management, leasing, marketing and accounting/financial operations. We partner with private owners and institutional investors globally to develop and operate some of the most iconic assets in our markets. We rely on technology and the deep expertise of our team to consistently outperform the market in the operation of more than 30,000 units across some 250 properties in the most challenging housing markets in the country. For the past three years, Rose has been the top-rated manager for resident satisfaction in the United States on the Kingsley Surveys platform (peer group of firms with 10-30,000 units being surveyed). Established in 1925, Rose Associates possesses a century of real estate expertise and an impeccable reputation for excellence and integrity. Today a woman-owned business led by CEO Amy Rose, we are committed to a corporate culture of belonging and inclusion that is widely admired in the industry. As we expand across the Northeast, Rose is providing opportunity for our team members to grow their careers in an environment of respect and support. Join us on the forefront of innovation and growth – Rose Associates is where excitement meets opportunity! We are seeking a highly motivated and customer-focused Residential Property Handyperson to join our vibrant team and contribute to the overall maintenance, satisfaction and well-being of our residents. The ideal candidate will be proficient in a variety of repair and maintenance tasks, contributing to the overall well-being of the property and ensuring a safe and comfortable environment for residents. Essential Functions • Perform routine maintenance and repairs on residential units, including plumbing, electrical, HVAC, appliance repair, and carpentry tasks., • Address minor HVAC issues, Inspect, troubleshoot, and repair household appliances to ensure functionality and safety and collaborate with specialized technicians for major repairs. Coordinate with vendors for appliance replacements when necessary., • Paint and complete drywall repairs to maintain a fresh and appealing appearance throughout the property., • Repair and replace flooring materials as needed, ensuring a safe and aesthetically pleasing environment., • Perform routine maintenance on units in preparation of apartment turns, and maintain maintenance shop, including related inventory of supplies., • Conduct regular safety inspections, identifying and addressing potential hazards promptly., • Be available for on-call duties and respond to emergency maintenance requests outside regular working hours., • Comply with workplace safety and OSHA regulations., • Must be present on-site and be able to move throughout the building to address building related matters and meet with tenants, staff, vendors and visitors., • Ability to ascend and descend stairs, as well as positioning oneself in small spaces for building inspections and maintenance repairs and lifting and moving large or heavy objects in excess of 50 pounds., • Must be comfortable with exposure to varying environmental climates and circumstances., • Ability to perform the essential duties and responsibilities of the position in residential environments where domestic pets are routinely present. Employees are required to work in common areas, lobby areas, building offices, amenity spaces, and occupied residential apartments where pets may be present while carrying out the responsibilities of their position. Depending on the role, these responsibilities can include responding to resident requests and work orders; providing concierge and resident services; entering apartments; conducting inspections; performing maintenance, repairs, and other handyperson duties; managing building operations; supervising or coordinating building staff, vendors, and contractors; responding to emergencies; and performing other resident management and property-related responsibilities. The ability to perform the essential functions of the position in areas where domestic pets are present, including occupied residential apartments, is an essential requirement of employment for positions requiring such work., • Position may be required to perform duties outside their normal responsibilities as needed. Qualifications • High School diploma or equivalent and / or previous experience in a handyman capacity is preferred., • Knowledge of safety protocols, building codes and utilization of related machinery and tools is required., • Strong problem-solving skills and attention to detail., • Currently possesses EPA 608 Universal technical certification, S12, S13, S95, P99 or capable of obtaining the required certifications., • Proficient in computer operations, particularly skilled in using Microsoft Office and Yardi software., • Work authorization (required)Hourly rate: $33.6508 Powered by JazzHR pZT7IcwHsF

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.

Job Description Who We Are EarthCam is the global leader in providing webcam content, technology and services. Founded in 1996, EarthCam provides live-streaming video, time-lapse construction cameras, and Software-as-a-Service (SaaS) for AI-powered visual asset management, leveraged through our intuitive Control Center 8 dashboard which integrates with leading project management software. EarthCam leads the industry with the highest resolution imagery available, to empower building information modelling (BIM) and Virtual Design Construction (VDC) teams with actionable visual data. EarthCam's innovations include the world’s first outdoor gigapixel panorama camera system, and the first ever 5G construction camera. EarthCam has documented over a trillion dollars of construction projects around the world. The company is headquartered on a 10-acre campus in northern New Jersey. We are seeking an energetic and hands on Service Technician/ Facilities Superintendent to join our growing team. This is an individual contributor position that oversees the day-to-day operations, building systems, and grounds maintenance of our premier 10-acre corporate campus in Upper Saddle River, NJ. In this vital role, you will be responsible for ensuring a safe, efficient, and highly functional environment by managing routine maintenance, coordinating with third-party vendors for landscaping and emergency services, and keeping all mechanical, electrical, and HVAC systems operating at peak performance. Responsibilities • Oversee building and grounds maintenance for HQ and one satellite location, • Perform routine scheduled maintenance and make light repairs as needed, • Manage and review service contracts and interact with landscapers and snow removal contractors., • Conduct and document regular facilities inspections and track observations, • Check completed work by vendors and contractors and maintain insurance and compliance info, • Recommend maintenance, mechanical, electrical, and facility design modifications, • Obtain bids from qualified vendors to perform equipment replacements, upgrades and maintenance, • Preventative maintenance of various equipment on schedule, • Forecast, allocate, and supervise the financial and physical resources of the facility management department, • Prepare facilities for changing weather conditions and be on call in emergencies, • Collaborating with C-Suite on budgeting for facilities needs, • Assembly/moving of furniture, shelving, or warehouse racking, • Communicate workplace safety precautions to employees, • Monitor and address consumable products Requirements Who YOU Are • A team player, • Detail-oriented, • Problem solver Qualifications • BA in facility management, business, information management, or engineering is preferred but not required, • Strong verbal and written skills, • Strong project management skills, • Clean driving record, • Must be able to operate pallet jacks, mobile aerial work platforms (training will be provided if necessary), • 5+ years in related positions Benefits What We Offer The EarthCam package includes excellent salaries, bonuses, benefits, and constant opportunities for development – designed to create an entrepreneurial, invigorating and satisfying environment. Our benefits include: • Salary starting from $65,000 annually, • Health insurance (Single coverage 100% paid for by company), • Dental and vision insurance, • 401K Plan (with aggressive company matching), • Paid time off, plus paid holidays, • Regular free breakfasts, lunches and snacks, • Bicycles to ride around campus, • Team BBQs and annual company Olympics Recruitment Fraud Disclaimer EarthCam is committed to maintaining a transparent and secure recruitment process. EarthCam communicates with candidates exclusively using EarthCam email addresses and extends job offers solely by telephone. For more information about the EarthCam recruitment process and avoiding fraudulent job offers, please click here. https://www.earthcam.net/about/careers/recruitmentfraud/

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).

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 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!

Job Description Secur-Serv is a leading managed services provider of IT, print, and hardware services, with a security focus at the core of every service. Secur-Serv provides nationwide, on-site service to businesses of every size, focusing on the financial, manufacturing, transportation, and healthcare industries. Secur-Serv is headquartered in Omaha, NE, and services our customers throughout the continental United States and Canada. Why Secur-Serv? Join Secur-Serv because we are committed to professional and personal growth, working with employees to develop a defined career path and helping them achieve their career goals with internal and external training and tuition reimbursement. We empower our employees to innovate and be a part of solutions that improve processes, systems, and transformation. We recognize and provide an environment where each and every employee can make an impact. • Company car that is available for personal use, • Paid Training, • We have a generous benefits package for our regular full-time employees, which includes a copay medical plan option, HSA medical plans with employer contributions to your HSA Account, dental, vision, company-paid life insurance, and company-paid short- and long-term disability coverage., • Plan for your future with Secur-Serv’s 401K savings plan with a generous company match. You are vested on your first day of eligibility in the plan., • Participate in our wellness program to improve your health and earn a discount on your health insurance premiums., • Explore new education opportunities with our Tuition Reimbursement Plan which covers up to $5,250., • Utilize our company-paid LinkedIn Learning subscription or certification programs to develop your skills and advance your career. POSITION SUMMARY Our Field Service Technicians apply their technical knowledge and experience to solve problems across a diverse customer base. You will support customers in banking, education, logistics, manufacturing, medical, retail, and other industries. As a Secur-Serv Technician you will install, troubleshoot, diagnose, and make repairs to a wide range of hardware including printers, cash recyclers, document finishing equipment, office equipment, servers, PCs, and data communications equipment. ESSENTIAL RESPONSIBILITIES • Travels to customer locations via company vehicle to diagnose, repair, and/or replace computer hardware in accordance with service agreements., • Manages preventative maintenance schedule in a timely and efficient manner., • Assists other territories and technicians as needed which may include travel to other metropolitan areas., • Takes ownership of meeting customers’ business needs., • Coordinates activities and seeks assistance from technical support when appropriate., • Provides updates, status, and completion information to manager, sales, technical support, call center, and customer via voicemail, use of wireless call processing system, or in-person communication., • Manages parts inventory in accordance with established guidelines., • Submits required paperwork in a timely, efficient, and complete manner., • May be asked to train new technicians in an on-the-job manner. REQUIREMENTS • Two or more years related experience and/or training., • Secur-Serv provides training at the office in Omaha, NE, along with, access to a database of manuals and depot support personnel to call if additional support is needed., • Able to successfully attend training in Headquarters and/or outside schools to keep abreast of new technology and hardware product developments., • Valid and current state Driver's License., • Self-motivated and able to work effectively under minimal supervision., • Knowledge/Skills/Abilities:, • Ability to diagnose equipment operational errors and product failures., • Must be able to problem solve, think analytically and be attentive to detail., • Good verbal communication skills for interaction with customers., • Physical Demands:, • Regularly required to stand, walk, sit, talk, write, and hear., • Reach with hands and arms and stoop, kneel, bend, crawl, push/ pull, twist and turn., • Frequently lift and/or move up to 25 pounds., • Occasionally lift and/or move up to 50 pounds, • Must be able to meet all physical requirements up to eight hours per day., • Able to travel overnight 5-10%.Preferences, • Associates degree (AA) or equivalent from two-year college or technical school preferred. WE ARE 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 status, protected veteran status, or any other characteristic protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our People Department by emailing Hiring@Secur-serv.com or calling 402.697.3039. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. Secur-Serv Drug & Alcohol Use Policy Powered by JazzHR ScrCaLJIuM