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This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. The Head of Data Science builds the models that turn a new AI-native behavioral intelligence platform into products customers buy, and proves to those customers that the products work. At the core of the platform, part of Spectrum Intelligence Ventures, is a proprietary transformer-based model that learns how households behave from network-scale signal and encodes that behavior as embeddings. Those embeddings are the foundation for audiences, insights, measurement, and data licenses sold to brands, agencies, and ad tech, media, and AI platforms. Over the next 18 to 24 months, this leader’s job is to get that portfolio to market and make it stand up to buyer scrutiny: build the predictive models and products on top of the embedding layer, set the evidence standard buyers will test them against, and work alongside product and sales to scope pilots, answer technical buyers, and convert evaluations into contracts. In parallel, this leader owns the direction of the embedding model itself, working with the Head of Technology and external development partners, and is accountable for showing that it delivers performance conventional approaches cannot. The Head of Data Science builds and leads the data science team, sits on the platform leadership team, and reports directly to the Head of Intelligence Ventures. HOW THE HEAD OF DATA SCIENCE MAKES AN IMPACT • Build and run the predictive models behind the platform’s audience and data products, including in-market, life-stage, purchase propensity, category interest, lifestyle affinity, and behavioral velocity models scored daily at the household level across more than two dozen verticals. Own segment definitions, coverage, refresh cadence, and measured accuracy for every audience the platform sells, whether through Spectrum Reach, DSP data marketplaces, or partner platforms., • Own the platform’s Feature Store as a commercial product: named, typed, versioned, and documented features that serve audiences, insights, measurement, and partner models. Lead the outcome anchoring program that trains and calibrates models against licensed third-party outcome data (vehicle registrations, mortgage originations, card and SKU-level retail spend, travel bookings, and similar sources) so that propensity scores mean what they say, and automate feature creation as new signal sources come online., • Lead the modeling behind custom and partner-specific audiences, including seed-based lookalike expansion, profile-based audience construction, and site- or CRM-seeded models that identify households entering a brand’s purchase path before they reach the brand. Establish repeatable, clean-room-based workflows with transparent match rates, expansion multiples, and performance against the buyer’s own baseline., • Design and defend the platform’s measurement methodology, including exposed-versus-control campaign lift using matched behavioral controls, test-and-holdout incrementality, and closed-loop validation against real-world outcomes. Define the journey, demand, and category metrics that power insights subscriptions and aggregate demand indices, built to withstand scrutiny from brand marketing science teams, agency analytics groups, and measurement partners., • Lead the data science behind the platform’s identity and viewing products: the adjudication and confidence calibration methods that verify partner household graphs against network ground truth, and the household viewing-state, trajectory, and reachability models that underpin viewing intelligence for programmers, agencies, and measurement companies., • Direct the roadmap for the platform’s proprietary transformer-based behavioral embedding model, a multi-entity architecture that encodes both a stable household profile and short-term intent, working with the Head of Technology and external development partners on architecture, training, and refresh. Hold the embedding layer to a commercial standard: measured lift over attribute-only and engineered-feature baselines in the audiences, lookalikes, measurement, and partner models it feeds., • Establish the evaluation, MLOps, and responsible AI standards for every model the platform ships, including evaluation cards that state accuracy, calibration, and coverage in a form buyers can cite; automated release gates; monitoring and drift detection; bias and fairness testing; and privacy-preserving techniques such as audience floors, differential privacy, and adversarial testing, in partnership with Legal and Privacy., • Serve as the senior data science voice with customers and partners, including brand analytics and insights leaders, agency data science teams, and DSPs, identity providers, measurement companies, and AI platforms. Scope pilots and evaluations with product, sales, and solutions teams, and translate methodology into clear commercial proof points., • Build and lead a team of data scientists, ML engineers, and measurement scientists matched to the work ahead: strong in applied predictive modeling and measurement, with the deep learning depth to take greater ownership of the embedding layer over time. Set hiring priorities, operating cadence, and a culture of rigorous experimentation with a clear bias toward production deployment and revenue impact. REQUIRED QUALIFICATIONS • Proven record leading data science for data, audience, identity, targeting, or measurement products in the advertising, media, or marketing ecosystem, where models are packaged, priced, sold, and renewed by external buyers, • Deep, hands-on expertise in predictive modeling on consumer-level data at scale, including propensity and response modeling, classification, gradient boosting, regression, calibration, segmentation and clustering, and lookalike modeling, with sound judgment about which method fits the commercial problem, • Strong grounding in measurement and causal inference, including incrementality testing, matched and synthetic controls, test-and-holdout design, and the practical limits of attribution and media mix approaches, • Working knowledge of identity and data collaboration: household and device graphs, onboarding and match rates, clean rooms (Snowflake, LiveRamp, AWS, or equivalent), identity namespaces such as RampID and UID2, and the use of licensed third-party data in modeling, • Command of the full data science lifecycle in production, from feature engineering through training, validation, deployment, monitoring, and iteration, at large dataset scale (billions, even trillions of records); experience designing feature stores and scoring pipelines that serve audiences and partner deliveries, • Hands-on proficiency with Python, SQL, and distributed data processing (Spark or equivalent); experience running ML workloads on Snowflake, Databricks, AWS, or equivalent cloud platforms, • Solid working knowledge of deep learning and representation learning, including embeddings, sequence models, and transformers, sufficient to direct an embedding roadmap with external partners, set its evaluation standards, and put embeddings to work as features in downstream models, • Familiarity with privacy-preserving analytics and consumer data regulation, including aggregation thresholds, differential privacy, and consent management; comfortable working alongside Legal and Privacy on product design, • Ability to explain methodology clearly to executives, sellers, and buyers, and to defend it under scrutiny from sophisticated technical counterparts in external partner and customer conversations, • Track record of building and growing high-performing data science teams, ideally from an early stage, and recruiting senior talent in competitive markets, • Curiosity about the application of AI to consumer intelligence, including how foundation models and AI agents can draw on behavioral context to make better decisions REQUIRED EDUCATION • Bachelor’s Degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field PREFERRED EDUCATION • Master’s degree or PhD in Statistics, Machine Learning, Econometrics, Operations Research, or a related quantitative discipline; an advanced degree is valued but not required, and a record of applied commercial impact is weighted equally REQUIRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS • Experience leading applied data science or analytics teams that build data, audience, identity, or measurement products: 7 years, • Hands-on predictive modeling, machine learning, or measurement science on consumer-level data at scale: 10 years PREFERRED RELATED WORK EXPERIENCE AND NUMBER OF YEARS • Senior data science leadership at a data, identity, audience, or measurement company in the advertising and media ecosystem (e.g., LiveRamp, Merkle, Epsilon, Acxiom, Experian, TransUnion, Nielsen, Circana, Comscore, The Trade Desk, or specialty analytics and measurement firms): 10 years, • Applied deep learning or representation learning (embeddings, sequence models) deployed in production on consumer behavioral data: 3 years, • Work with TV and video viewership data, cross-screen measurement, or identity graph quality evaluation: 3 years WORKING CONDITIONS • In-office position preferably based in New York City, • Travel as required for partner engagements, executive meetings, and industry events #LI-SD2 XEN421 2026-85457 XEN421 2026 Here, our employees don’t just have jobs, they're building careers. That’s why we offer a comprehensive _ package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $263,200.00 and $393,800.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Spectrum is a suite of advanced communications services offered by Charter Communications, the leading broadband and video company in the nation and the fastest growing mobile provider in its footprint, with services available to more than 70 million homes and small to large businesses across 45 states. When you join our team, you’ll be keeping customers connected to Seamless Connectivity and Entertainment with Spectrum Internet®, Mobile, TV and Voice products. _ Grow Your Career Here We’re committed to growing a workforce that reflects the customers and communities we serve – providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. _

Location: New York, NY, Springfield, MA or Boston, MA The Opportunity The Team The Valuation Modeling Team helps to protect the long-term interests of policyholders by ensuring MassMutual is positioned to meet its future obligations. Responsible for over $100 billion in direct statutory reserves, the team performs statutory, GAAP/LDTI and tax valuation on Par Whole Life, Term, UL and VUL products. Our work affects regulatory compliance, strategic decision-making and inforce management. For those interested in modeling, interpreting, and communicating financial results in a collaborative team environment, this is an exciting role. The Impact: • Apply deep modeling expertise to all phases of input, processing, and output of valuation projections in Axis, • Utilize modeling acumen to execute complex projects such as Cash Flow Testing, new product implementations, assumption change, and structural model updates, • Deliver and explain Stat, Tax and GAAP financial results., • Develop and improve existing control and versioning methodology in valuation models, • Improve efficiency by leveraging communication skills with internal and external technology partners, • Apply knowledge of life insurance products and regulations to navigate complexity, ambiguity, and limitations in valuation software, • Work directly with various audit stakeholders to demonstrate compliance with regulatory and model governance standards, • Demonstrate agility in responding to stakeholder questions and unexpected results, often at times of peak activity and tight deadlines The Minimum Qualifications • Bachelor's degree in actuarial science, mathematics, statistics, data science, computer science, engineering, or a related quantitative or technical field., • ASA designation, • 4+ years of actuarial experience within insurance, financial services, or a related quantitative field., • 1+ years of experience with Axis The Ideal Qualifications • FSA designation, • 4+ years of experience with Axis, including model leadership or stewardship roles, • Demonstrated accountability and ownership of long-term independent projects, • Proficient with Axis features such as DataLink, investment cells, scenario files, and embedded block processing, • Understanding of modeling infrastructure such as ELink, GridLink, and output databases, • Expertise with identifying multiple solutions to a problem, and developing collaborative solutions to software limitations, • Ability to estimate resource requirements and set expectations with key stakeholders for highly visible projects, • Experience with Principle-Based Reserves, valuation regulations, product design, modeling assumptions, and inforce policy data, • Proficient with model-supported software such as MS Excel and SQL., • Strong math, analytical and collaboration skills, • Strong communication skills, both written and verbal, • Continuous improvement mindset, • Ability to build and maintain strong working relationships across cross-functional groups What to Expect as Part of MassMutual and the Team • Regular meetings with the Life Valuation Team, • Focused one-on-one meetings with your manager, • Access to mentorship opportunities, • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups, • Access to learning content on Degreed and other informational platforms, • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefitsMassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

We are \n At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets. \n \n Role Description \n The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will be responsible for defining the target-state architecture, establishing migration patterns and standards, validating solution designs, and ensuring that all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. \n \n Additional Information* \n The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $140k - $160k/year & benefits (see below). \n \n \n Qualifications \n\n • 12+ years of enterprise architecture and software engineering experience.\n, • 8+ years designing and implementing cloud-based solutions.\n, • Demonstrated experience leading large-scale cloud migration and modernization programs.\n, • Deep expertise in AWS services, cloud-native architectures, infrastructure automation, resiliency, security, and disaster recovery.\n, • Experience working within highly regulated financial services environments.\n, • Strong stakeholder management and communication skills, with the ability to engage senior technology and business leadership.\n\n \n \n Key Responsibilities \n\n • Define and govern the target-state architecture.\n, • Lead application assessment and migration strategy development.\n, • Establish architectural standards, patterns, and guardrails.\n, • Provide technical oversight for migration, testing, cutover, and decommissioning activities.\n, • Identify and mitigate architectural, operational, and security risks.\n, • Support governance, design reviews, and executive-level decision making.\n\n \n \n We offer: \n\n • A highly competitive compensation and benefits package.\n, • A multinational organization with 58 offices in 22 countries and the possibility to work abroad.\n, • 10 days of paid annual leave (plus sick leave and national holidays).\n, • Maternity & paternity leave plans.\n, • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).\n, • Retirement savings plans.\n, • A higher education certification policy.\n, • Commuter benefits (varies by region).\n, • Extensive training opportunities, focused on skills, substantive knowledge, and personal development.\n, • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.\n, • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.\n, • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.\n, • A flat and approachable organization.\n, • A truly diverse, fun-loving, and global work culture.\n\n \n \n SYNECHRON’S DIVERSITY & INCLUSION STATEMENT \n Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. \n \n All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Description Join JB&B and shape the future of the built environment! Founded in 1915, Jaros, Baum & Bolles has been a pillar of engineering innovation in New York City for over a century. Specializing in mechanical, electrical, plumbing (MEP), JB&B has contributed to some of the most iconic buildings. In October 2025, JB&B joined forces with Trinity Consultants, a global consulting firm focused on the natural and built environments. JB&B now operates within Trinity’s Built Environment division, combining its deep expertise in high-performance building systems with Trinity’s strengths in acoustic design, facility operations, commissioning, and technology strategy. This strategic merger expands JB&B’s capabilities and offers employees: • Access to a broader portfolio of international projects and clients, • Enhanced career mobility across Trinity’s global network, • Interdisciplinary collaboration with experts in sustainability, environmental science, and digital infrastructure About the Role We are seeking a technically skilled and experienced Electrical Engineer - with Data Center experience to join our Electrical Department either in New York City or remote as an Associate. This is an exciting opportunity for an experienced engineer with strong technical, coordination, and leadership skills to contribute to high-impact projects and client success. As an Electrical Engineer in the Associate role, you'll play a key role in managing and executing electrical engineering projects from design through completion. You will collaborate across disciplines, communicate directly with clients, and help ensure that both technical excellence and project financial goals are achieved. Key Responsibilities • Works with their Department Leader (i.e., Director, Associate Partner, or Partner) to develop conceptual design for projects and guides their team through project completion., • Acts as the day-to-day Client point of contact on their projects, • Manages and reviews all project- related documents and ensures timely and accurate implementation, • Responsible for project deliverables both technically and functionally., • Presents and explains project designs confidently at internal and external meetings., • Coordinates and updates the project team regularly to meet design expectations and deadlines., • Initiates and manages design changes, proposals, and approvals., • Successfully executes large/complex Data Center projects from concept to completion., • Utilizes staffing and project resources effectively: delegates projects thoughtfully to avoid work overload., • Financial Management and Business Development, • Builds and maintains quality relationships with Clients and industry contacts.Minimum Qualifications, • Bachelor's degree in Electrical Engineering, • 7-12 years of experience, • Excellent oral and written communication skills, • Proficient in all design calculations and software tools (e.g., Revit and AutoCAD) applicable to their discipline, • Strong understanding of trade-specific scope of project, trade-related codes, and the required coordination with other trades, • Strong understanding of documentation requirements and content for each deliverable phase (e.g., SD, DD, CD and specifications)Why Work at JB&B?, • Legacy + Innovation: Our company blends a rich history with forward-thinking design, including smart building systems and deep carbon reduction strategies., • Collaborative Culture: With over 400 professionals, our company fosters mentorship, teamwork, and continuous learning., • Global Impact: Now part of Trinity, our company offers opportunities to work on transformative projects across commercial, healthcare, aviation, life sciences, and data center sectors., • Multiple office locations: New York, Boston and Philadelphia. What We Offer, • Hybrid workplace offering the flexibility to work both from home and the office, • Comprehensive benefits package including 401k employer match and stock options, • Paid time off (PTO), volunteer program and employee resource groups, • Training and professional development courses through JB&B University Estimated compensation range: $122,000 - $160,000 annual salary Jaros, Baum & Bolles is an equal opportunity employer. All qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Powered by JazzHR qPgM5KQOxB

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE PT Business Management • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products Service and Hospitality • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions Professional Development • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional, • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional., • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00 per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description What makes Personal Training with Equinox stand out? Equinox is proudly recognized as the industry leader in Personal Training expertise, with the first in-house education of its kind through the Equinox Fitness Training Institute. For over twenty years EFTI has elevated our trainers to design comprehensive client fitness programs that are safe, effective and results driven. We are dedicated to the professional performance of our team and compensate our trainers for their education time. Equinox offers the highest compensation structure in the industry, with an earning potential of $100K+. In addition, Equinox offers all trainers a competitive benefits package including medical, dental and retirement planning options. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional., • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description What makes Personal Training with Equinox stand out? Equinox is proudly recognized as the industry leader in Personal Training expertise, with the first in-house education of its kind through the Equinox Fitness Training Institute. For over twenty years EFTI has elevated our trainers to design comprehensive client fitness programs that are safe, effective and results driven. We are dedicated to the professional performance of our team and compensate our trainers for their education time. Equinox offers the highest compensation structure in the industry, with an earning potential of $100K+. In addition, Equinox offers all trainers a competitive benefits package including medical, dental and retirement planning options. Job Overview As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management personalized programs Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional, • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description What makes Personal Training with Equinox stand out? Equinox is proudly recognized as the industry leader in Personal Training expertise, with the first in-house education of its kind through the Equinox Fitness Training Institute. For over twenty years EFTI has elevated our trainers to design comprehensive client fitness programs that are safe, effective and results driven. We are dedicated to the professional performance of our team and compensate our trainers for their education time. Equinox offers the highest compensation structure in the industry, with an earning potential of $100K+. In addition, Equinox offers all trainers a competitive benefits package including medical, dental and retirement planning options. JOB OVERVIEW As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management personalized programs Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional, • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at https://careers.equinox.com/ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description What makes Personal Training with Equinox stand out? Equinox is proudly recognized as the industry leader in Personal Training expertise, with the first in-house education of its kind through the Equinox Fitness Training Institute. For over twenty years EFTI has elevated our trainers to design comprehensive client fitness programs that are safe, effective and results driven. We are dedicated to the professional performance of our team and compensate our trainers for their education time. Equinox offers the highest compensation structure in the industry, with an earning potential of $100K+. In addition, Equinox offers all trainers a competitive benefits package including medical, dental and retirement planning options. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications Current Personal Training certification or willingness to obtain one through certification reimbursement program. Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field) • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional., • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$16.50/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description What makes Personal Training with Equinox stand out? Equinox is proudly recognized as the industry leader in Personal Training expertise, with the first in-house education of its kind through the Equinox Fitness Training Institute. For over twenty years EFTI has elevated our trainers to design comprehensive client fitness programs that are safe, effective and results driven. We are dedicated to the professional performance of our team and compensate our trainers for their education time. Equinox offers the highest compensation structure in the industry, with an earning potential of $100K+. In addition, Equinox offers all trainers a competitive benefits package including medical, dental and retirement planning options. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications Current Personal Training certification or willingness to obtain one through certification reimbursement program. Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field) • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional., • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$16.50/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE PT Business Management • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products Service and Hospitality • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions Professional Development • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional, • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional, • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at https://careers.equinox.com/ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Job DescriptionTurn Experience Into Opportunity—for You and Your Students What if your next job let you trade service calls for shaping futures? In this role, you’ll guide learners through the science and hands-on practice of heating, ventilation, air conditioning, and refrigeration. From compressors to coils, you’ll demystify components and systems and help students step confidently into modern HVACR careers. Never taught? No problem! If you have the drive, patience, skills and passion we’ll train you!The Role at a Glance • Engage Learners: Foster an inclusive environment where students build skill and passion for HVACR maintenance and service., • Lab-Centered Instruction: Run interactive demonstrations so students diagnose, maintain, and repair a range of HVACR systems., • Curriculum Collaboration: Partner with our education team to update courses and design new content that mirrors industry trends., • Coach & Mentor: Guide individual projects, nurturing critical thinking and inventive problem-solving., • Champion Safety: Promote procedures and best practices that keep everyone safe.Qualifications, • High school diploma or GED., • At least 4 years of practical experience: refrigeration, commercial HVAC, residential HVAC, mini splits, boilers, etc., • EPA 608/Universal and OSHA 10–30 are highly valued., • Clear, confident communicator and collaborator., • Patient, empathetic teaching style tailored to different learning speeds.Compensation & Benefits, • $35 - $3 per hour, • $10,000 sign-on bonus, • Weekends OFF, • Paid Training, • FREE Tuition for you AND eligible dependents for any programs at UTI and Concorde Career Colleges!, • Medical/Dental/Vision/Life Ins/Short Term- and Long-Term Disability Insurance, • 401K, Paid Holidays, Paid Time Off, Paid Sick Time, • Access to State of the Art Tools and EquipmentGrow With a Proven Leader For more than 60 years, Universal Technical Institute, Inc. has helped students change their lives through career education. Together with Concorde Career Colleges, our teams power that mission every day. Come be part of our legacy! Core Technical Areas • HVAC, • HVAC/R Systems, • Refrigeration Systems, • Ammonia Refrigeration Systems, • HVAC Service & Installation, • HVAC Troubleshooting

About HYB Industrial \n HYB Industrial Inc. is a New York–based chemical trading and industrial procurement company. We connect Asia-Pacific chemical manufacturers with buyers in the United States, and we source laboratory and industrial equipment for clients abroad. We run import/export, regulatory compliance, and market development from our new office at 45 Rockefeller Plaza, backed by decades of supplier relationships in Asia's chemical industry. \n \n The role \n We recently opened our New York office and are hiring 2–3 new graduates to expand our US business. You'll work across both sides of the trade, identifying markets and winning customers, alongside the founders on live deals from first research to delivery. You'll take on real responsibility early, with direct exposure to international sourcing, pricing, and negotiation that would take years to reach at a large distributor. \n \n This is a commercial role, not a lab role. You’ll use technical knowledge to read specs, size markets, and sell — not to run experiments. \n \n Our New York office focuses on importing and distributing chemical products in the US. HYB also supplies laboratory and industrial equipment to clients overseas, and you'll have the opportunity to work on those deals with our founders: sourcing from manufacturers, matching technical specifications, and coordinating export logistics. \n \n Starting salary range: $48,000–$55,000 per year, plus performance bonus and commission. \n \n What you'll do \n\n • Evaluate products technically: read specifications and certificates of analysis (COAs), understand grade differences (food vs. technical grade, FCC/USP), and match products to customer applications\n, • Size markets using trade and customs data: who imports what, from where, in what volumes, and at what implied prices\n, • Track price drivers and market cycles: raw-material and energy costs, Asian production capacity and export pricing, freight, tariffs and anti-dumping duties, exchange rates, and seasonal demand\n, • Prospect and win US buyers (food producers, manufacturers, distributors) by phone, email, LinkedIn, and in person\n, • Work trade shows, run customer meetings, prepare quotes, and help negotiate terms. Expect roughly 20–30 travel days per year to industry events such as SupplySide.\n, • Use market and price trends to time pitches and advise customers on when to buy\n, • Support regulatory documentation for food ingredients and chemicals (FDA, TSCA) with our compliance team\n, • Coordinate with suppliers and partners across Asia\n\n \n Who we're looking for \n\n • BA, BS, or MS in chemistry, chemical engineering, food science, economics, business, supply chain, or a related field. Chemistry coursework or a real interest in how chemicals are made and traded is a strong plus. Recent and upcoming (Dec 2024/ May 2025/ Dec 2026 / May 2027) graduates welcome\n, • Fluent professional English, written and spoken\n, • Real interest in the business side of chemistry: markets, sales, and trade\n, • Comfortable in Excel and with messy data\n, • Coursework or internships in international trade, supply chain, or sales are a plus\n, • Mandarin Chinese is a plus, not required\n\n \n Further details \n\n • On-site at 45 Rockefeller Plaza, Manhattan; remote only in exceptional circumstances\n, • Full-time W-2, standard 40-hour week\n, • Health insurance and paid time off\n, • Must be authorized to work in the US. We do not sponsor visas, but candidates on OPT or STEM OPT are welcome.\n, • Current students: we also offer part-time roles (15–20 hrs/week during the semester). Mention this on your application.\n\n \n To apply (to show us you read the entire post): \n Message me your answer to one of these through LinkedIn message or through email at info@hybindustrial.com \n \n\n • A New Jersey bakery has bought potassium sorbate from the same distributor for six years. We can offer the same spec for 5% less, in stock in Newark, 30-day terms. Why might their purchasing manager still say no — and what's the first thing you'd do about it?\n, • Read this posting again. What's one thing in it you'd push back on — a claim, a requirement, a number — and why?\n\n \n If you're a current student interested in part-time, say so in your answer please. \n \n HYB Industrial is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law.

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).

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\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 \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).

AI Engineer 4 (MLX, Agentic AI, Gen AI workflows, GraphRAG)\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 \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, • 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\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 \n Basic Qualifications: \n \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, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n \n \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 McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n Cambridge, MA: $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).

Company \n Ategrity Specialty Insurance Company specializes in property, casualty, management liability, and professional liability insurance, with a strong emphasis on the excess and surplus (E&S) lines market. We partner with brokers and wholesale agents across the U.S. to deliver thoughtful insurance solutions for small and medium-sized enterprises. Our goal is to lead the E&S market through technical excellence, product innovation, and a culture that values precision, collaboration, and integrity. \n \n Position: Project Manager – Finance Initiatives \n Location: Candidate must live in the states of NY-NJ-CT and be able to commute to our office in Midtown NYC \n \n Function \n As the Project Manager supporting Finance initiatives you will be responsible for leading cross-functional teams through the ERP system implementation and other Finance-driven projects, ensuring timely delivery and seamless integration with existing systems. You will report to the Head of the Project Management Office (PMO) and collaborate closely with Finance leadership. \n \n Key Responsibilities \n\n • Project Management: Lead Finance and ERP projects with strong leadership and organizational skills. Manage competing priorities, project timelines, budgets, and resources.\n, • Requirements Gathering: Collaborate with Finance stakeholders to understand business needs. Translate those needs into detailed business requirements, process flows, and user stories, ensuring ERP functionality aligns with financial operations.\n, • Documentation: Develop and maintain comprehensive project documentation including specifications, workflows, process maps, wireframes, and functional designs tailored for Finance systems.\n, • Stakeholder Liaison: Serve as the primary point of contact between Finance, IT, vendors, and other departments. Facilitate clear communication and alignment across all project stakeholders.\n, • Process Analysis: Analyze current financial processes and identify opportunities for process improvement and automation within the ERP and other Finance systems.\n, • Project Support: Oversee system testing, develop test plans, assist with quality assurance, monitor resource allocation, and proactively manage project risks and issues.\n, • Communication: Present project updates and financial impact analyses to stakeholders and leadership. Resolve conflicts and negotiate solutions that support both technical feasibility and financial integrity.\n, • Change Management: Lead change management efforts including end-user training, adoption strategies, and support for new ERP functionalities and finance process enhancements.\n\n \n Qualifications/Requirements: \n\n • Analytical Skills: Strong ability to analyze financial data and operational processes, translating them into actionable project requirements.\n, • Communication: Excellent communication skills with the ability to engage and influence Finance, IT, and executive leadership.\n, • Technical Understanding: Solid knowledge of Finance operations, ERP systems, business analysis, and project management principles. Experience managing ERP implementations (e.g., Oracle, SAP, Workday, NetSuite, etc.) is highly preferred.\n, • Problem-Solving: Demonstrated ability to anticipate challenges, develop strategic solutions, and drive consensus among diverse stakeholders.\n, • Technical Skills: Proficiency in Azure DevOps, Microsoft Visio, MS Project, Microsoft Teams, and ERP reporting tools.\n, • Location: Candidate must live in the states of NY-NJ-CT and be able to commute to our office in Midtown NYC\n\n \n Preferred Qualifications: \n\n • Education: Degree in Finance, Accounting, Business Administration, Computer Science, or a related field.\n, • Industry Knowledge: 5+ years of project management experience with at least 3 years focused on Finance system implementations or ERP deployments.\n, • Certifications: PMP, Certified Scrum Master, Product Owner, or ERP-specific certifications are a plus.\n, • Tools: Familiarity with ERP systems, JIRA, Confluence, Azure Board, MS Planner, MS Project, or similar project management and collaboration tools.\n\n \n Benefits: \n\n • Competitive salary commensurate with experience\n, • Comprehensive benefits package including medical, dental, and vision coverage\n, • 401(k) retirement savings plan with employer match\n, • Paid time off and company holidays\n, • Professional development opportunities\n, • Collaborative and inclusive work environment with opportunities for career growth and advancement\n\n \n Ategrity Specialty Insurance Company is an equal opportunity employer and values diversity in the workplace. We encourage candidates from all backgrounds to apply. \n

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).

About Us \n Kernel Trading Technologies started as a trading group in a hedge fund and is built on a successful track record of trading systematic strategies powered by scientific and cutting-edge technologies. The team is consisted of successful portfolio managers from top quantitative funds, top-notch machine learning researchers, statistics professors from academia and excellent technologist previously from high-frequency trading space. The team focuses on statistical arbitrage strategies trading global futures and has achieved high return and Sharpe every single year since inception. We are constantly looking for improvements to power and evolve our research and trading platform to expand our success story. \n The Role \n We are seeking highly qualified and talented Quantitative Researchers to join our dynamic team. In this role, you will work closely with our team of portfolio managers, quantitative developers and technologists to develop and improve upon our proprietary trading models and strategies. You will have the opportunity to apply your skills in data analysis, statistical modeling, and machine learning to real-world financial data, and contribute to the success of our trading operations. \n What you’ll do \n In this role, you will: \n\n • Develop, test, and implement quantitative models for our trading strategies, using advanced statistical techniques and machine learning models\n, • Analyze large datasets to identify trading opportunities and improve model performance\n, • Collaborate with quantitative developers to implement models and strategies in our trading system\n, • Conduct research to stay current on market conditions and industry trends\n, • Communicate complex quantitative concepts and their implications to non-technical team members\n\n \n What you’ll bring \n What you need: \n\n • Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Engineering\n, • Strong programming skills, preferably in Python or C++\n, • Solid understanding of probability, statistics, and machine learning\n, • Understanding of data structures, algorithmic complexities, and numerical algorithms\n, • Ability to communicate effectively in a collaborative, complex and highly technical team environment\n, • Intellectual curiosity and passion for solving challenging problems using technology\n\n \n Job Type: Full-Time \n \n Pay: $90,000-$350,000 per year \n \n Benefits: \n\n • 401(k)\n, • 401(k) matching\n, • Dental insurance\n, • Flexible schedule\n, • Flexible spending account\n, • Health insurance\n, • Paid time off\n, • Parental leave\n, • Relocation assistance\n, • Retirement plan\n, • Vision insurance\n\n \n Compensation Package: \n\n • Bonus opportunities\n, • Signing bonus\n\n \n Schedule: \n\n • Monday to Friday\n, • Work Location: In person\n

AI Engineer 5 (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 \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 \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, • 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\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 \n Basic Qualifications: \n \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, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n \n \n Preferred Qualifications: \n \n \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 \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 AI Engineer 5\n \n Cambridge, MA: $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).

AI Engineer 5\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 New York, NY: $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 \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).

Seeking an experienced Ontologist and Taxonomist with 5+ years of experience applying the Web Ontology Language (OWL) to financial and economic analysis. The ideal candidate will have strong expertise in ontology development, taxonomy management, semantic technologies, and financial data, along with experience in natural language processing (NLP), named entity recognition (NER), and data science. The role involves maintaining financial ontologies and taxonomies, collaborating with business and technology teams, validating AI/LLM-generated results, and improving document tagging and search accuracy across financial research content. \n \n Required Skills & Qualifications \n 1. Ontologies & Semantic Technologies \n\n • Strong, advanced-level expertise in OWL (Web Ontology Language) and SPARQL.\n, • Familiarity with SKOS and at least one additional industry ontology.\n, • Familiarity with GIST ontology is a plus.\n, • Experience developing and maintaining ontologies, taxonomies, concepts, entity definitions, and semantic relationships.\n, • Excellent written and verbal communication skills, with the ability to create clear, accurate, and comprehensible definitions.\n\n 1. Financial & Economic Knowledge \n\n • Understanding of financial and economic analysis, including:\n, • Company filings, financial statements, and research reports.\n, • Products, services, commodities, and industry analysis.\n, • Macroeconomic factors and economic trends.\n, • Familiarity with financial reference data, including:\n, • Stock tickers and market prices.\n, • Corporate ownership structures and hierarchies.\n, • Knowledge of financial instruments, including stocks, bonds, structured products, currencies, and derivatives.\n\n 1. Natural Language Processing (NLP) & AI \n\n • Experience with natural language processing techniques.\n, • Knowledge of Named Entity Recognition (NER) and regular expressions.\n, • Familiarity with large language models (LLMs) and model-output validation.\n, • Ability to support automated testing and manual validation of AI/model-generated results.\n\n 1. Programming & Technical Skills \n\n • Familiarity with scripting languages such as Python and/or shell scripting.\n, • Some programming experience in at least one major language, such as Java, C++, or C#.\n, • Familiarity with data science and machine learning concepts.\n, • Experience working with search technologies and document-tagging systems is beneficial.\n\n \n Key Responsibilities \n 1. Ontology & Taxonomy Management \n\n • Maintain the Research Ontology and Trending Topics Taxonomy.\n, • Define and incorporate new concepts and entities as they emerge in financial research and analysis.\n, • Align ontology and taxonomy artifacts with internal Morgan Stanley reference data and data imported from external providers.\n\n 1. Business & Technology Collaboration \n\n • Consult with business stakeholders on projects involving NLP, ontologies, taxonomies, and related data.\n, • Act as a bridge between business stakeholders and technology teams to translate business requirements into technical specifications.\n, • Ensure requirements are accurately communicated, implemented, and validated in production systems.\n, • Educate business and technology stakeholders on semantic technologies, ontologies, taxonomies, and relevant industry developments.\n\n 1. LLM & Model Validation \n\n • Support manual and automated validation of outputs generated by LLMs and other machine learning models.\n, • Use automated testing tools, validation techniques, and subject-matter expertise to assess output quality and accuracy.\n, • Help improve the reliability and consistency of model-generated results.\n\n 1. NLP, NER & Document Tagging \n\n • Collaborate with data science teams to integrate quantitative results into unstructured financial content.\n, • Work with technologists supporting the Mondeca platform for named entity recognition and document tagging.\n, • Ensure Mondeca applies NER rules correctly based on the established ontology and taxonomy.\n, • Help troubleshoot and improve entity recognition and document-tagging accuracy.\n\n 1. Search & Information Retrieval \n\n • Collaborate with technologists supporting the Elasticsearch index containing hundreds of thousands of financial research reports.\n, • Ensure the Mondeca platform correctly applies tags to documents and incorporates them into search functionality.\n, • Improve search relevance and result accuracy through effective ontology-driven tagging and taxonomy integration.\n\n \n Ideal Candidate Profile \n The ideal candidate combines strong semantic technology expertise with financial domain knowledge and practical NLP experience. They can translate complex financial concepts into structured ontologies and taxonomies, collaborate effectively across business and technology teams, and help improve the accuracy of AI-driven tagging and financial research search systems. \n \n Key Technical Keywords: OWL, SPARQL, SKOS, GIST, Ontology Development, Taxonomy Management, Financial Services, Financial Instruments, Financial Reference Data, NLP, NER, Regular Expressions, Python, Shell Scripting, Java, C++, C#, LLM Validation, Machine Learning, Data Science, Mondeca, Elasticsearch, Semantic Technologies.

Machine Learning Engineer 4\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, • 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 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 \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 Philadelphia, PA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Wilmington, DE: $179,400 - $204,700 for Machine Learning 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 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)\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 Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \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 • \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 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 6 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 7 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 complex AI systems \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 Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \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 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).

AI Engineer 4 (Vision model (VLM) customization experience)\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).

Applied Researcher 5 (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 • \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 • \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 • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n • \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 • \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 • \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 • \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 • \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 • \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 • \n Has a deep understanding of the foundations of AI methodologies \n • \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 • \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 • \n Experience in delivering libraries, platform level code or solution level code to existing products \n • \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 • \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 • \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 • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \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 • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \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 • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \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 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).

Director, Medical Science Liaison (Sr. MSL /MSL) – US East Coast Key Cities: New York, NY, Boston, MA, Washington D.C., Charlotte, NC, Atlanta, GA, Miami, FL Territory will include: Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, Connecticut, New York, New Jersey, Pennsylvania, Delaware, Maryland, Virginia, West Virginia, North Carolina, South Carolina, Georgia, Florida, Alabama, Mississippi, Tennessee, District of Columbia Damora Therapeutics is an innovative biotechnology company that aims to fundamentally redefine care for people with hematologic disorders. We are advancing a new generation of biologics to treat mutant calreticulin-driven myeloproliferative neoplasms, including essential thrombocythemia and myelofibrosis, where there is significant medical need for new disease-modifying treatments. With multiple programs with best-in-class potential entering clinical development in 2026, our goal is to rapidly bring forward optimized treatments with broad mutation coverage and exceptional convenience to dramatically improve patient outcomes. This is a unique opportunity to join a science-driven company at a formative stage, where early clinical data will directly shape development strategy and drive long-term value. The right candidate will join a team with significant development experience, with the goal of quickly moving through dose escalation/expansion into pivotal trials. The Role As we enter this important growth stage, we are hiring a Director, Medical Science Liaison to cover the US East Coast, specifically the Northeast, Mid-Atlantic, Southeast, Midwest and Upper Plains. They will be a foundational hire, reporting to the VP of Medical Affairs and joining a small established team to help build and shape our medical affairs function from the ground up. This is a chance to shape the function from day one, where early KOL and investigator scientific engagement and field insight will directly influence development strategy and long-term growth. You will work closely with executive leadership, operating both strategically and tactically to help guide clinical development, medical strategy, and future commercialization planning. This is an individual contributor role, offering the opportunity to make a deep impact through hands-on expertise rather than people management. Success in this position depends heavily on strong communication skills and the ability to build, deepen, and sustain trusted relationships with HCPs. As a scientific face of the company, you will cultivate relationships with KOLs and investigators, support early clinical execution, and translate field insights into actionable strategy. At the same time, you will coordinate meetings, support advisory boards, implement tracking systems, and help build the processes needed to scale. Speed, ownership, and adaptability are essential — this role requires someone equally comfortable engaging in high-level scientific dialogue and managing the operational details that drive execution. The role will evolve as the pipeline progresses. Early on, there will be an emphasis on external scientific engagement. It is anticipated that the role will have an evolving mix of KOL engagement and assisting with internal development of the medical affairs function. What You’ll Do Shape Scientific Engagement • Identify, map, and develop relationships with KOLs, investigators, academic and community centers., • Conduct compliant, high-quality scientific exchange around our investigational Phase I asset., • Support site identification, feasibility assessments, and investigator outreach., • Help develop medical strategy / scientific communications and represent the company at scientific congresses, advisory boards, and investigator meetings. Support Early Clinical Development • Partner closely with Clinical Development to support study execution., • Gather structured and unstructured insights to inform protocol design and long-term strategy., • Contribute to investigator materials and scientific content., • Maintain consistent follow-up and communication with study sites. Build Medical Affairs Operations Infrastructure • Coordinate and schedule KOL meetings (virtual and in-person)., • Support logistics for advisory boards and scientific events., • Track and document field interactions with accuracy and discipline., • Help implement CRM tools, contact databases, and documentation systems., • Assist in developing foundational SOPs and scalable medical processes., • Comfort flexing into non-field responsibilities — e.g. publications, HEOR, medical education — as the role requires Drive Insight & Strategy • Synthesize field intelligence into actionable recommendations for leadership., • Monitor the competitive and scientific landscape., • Contribute to early medical strategy and long-range planning., • Serve as a key voice in shaping the future medical affairs organization. Ensure Compliance & Governance • Maintain adherence to regulatory requirements and company policies., • Document scientific exchanges with clarity and completeness. What You’ll Bring • Advanced degree (PharmD, PhD, MD, or equivalent)., • 5+ years of MSL experience in hematology/oncology., • Experience in a small or emerging biotech., • Experience supporting clinical development and clinical operations (Phase I/II preferred)., • Strong understanding of clinical trial design and medical affairs functions., • Ability to work independently in highly unstructured environments., • Comfort moving between strategic dialogue, scientific exchange, and administrative execution., • Excellent communication and presentation skills., • Strong relationships with heme-onc KOLs, • Experience supporting advisory boards and investigator-initiated interactions., • Willingness to travel (~50%+). A plus if you have: • Experience as an early or first medical hire., • A track record of building processes without established infrastructure. Compensation & Benefits At Damora Therapeutics, we offer competitive compensation and thoughtfully designed total rewards aligned with industry benchmarks. We believe in rewarding impact and building meaningful ownership for our team. Agency Policy We are building our team intentionally and do not accept unsolicited resumes from recruiting or staffing agencies. Agencies should not submit candidates unless directly engaged by Damora’s HR team and operating under a signed agreement. Any resume submitted without prior authorization and a signed agreement will be considered property of Damora Therapeutics, and no referral or placement fees will be paid.

Entry Level Recruiter: \n Sales Position — 50k Base Salary + uncapped commission \n\n • Uncapped commission\n, • 4 days a week in office, 1 day work from home\n, • 360 recruitment placing candidates on a contract/permanent basis**\n\n \n Looking to kick-start your career in sales and recruitment? Look no further than Meet. \n \n What is Meet Recruitment: \n We are a global, Life Sciences focused recruitment company founded in London, with offices now in New York City, San Francisco, San Diego, and Raleigh. Our client’s range across the top Medical Device companies, to Pharma, Biotech and Contract Research Organizations (CROs) as well. \n Here at Meet, we give inexperienced and experienced professionals the opportunity to work in a high performing, fast-paced sales environment which includes hands on onboarding, continuous guidance, career development opportunities, and much more. A few of the things that sets us apart from our industry peers: uncapped commission structure with no draws or thresholds, the ability to receive additional training as you get promoted into senior/lead recruiter and management (if that is of interest), and the ability to work in an award winning environment for our culture. \n \n Meets core values include: Good humans, unapologetically driven, purpose-led, community chemistry, specialized brilliance. \n \n What is Meet looking for within their Entry Level Recruiters? \n\n • Ability to work in a high performing environment.\n, • Eagerness to be involved with both candidate delivery and new business development - proactively cold calling, sourcing, and negotiating contracts with your own potential clients.\n, • Ability to be resilient and proactive in addressing new obstacles.\n, • Ability to be self-directed and work in partnership with team members.\n, • Self-starter with an entrepreneurial spirit who has a proven track record of success in a fast-paced environment.\n, • Drive to succeed and grow in a sales/recruitment career.\n, • Ability to network and engage with people from various backgrounds.\n\n \n Day to day duties of a Meet Entry Level Recruiter: \n\n • Running your own 360 desk - candidate delivery and new business development.\n, • Headhunt candidates utilizing cold calling, LinkedIn Recruiter, Job Adverts, and referrals.\n, • Market research on companies for business development purposes.\n, • Gain insight into the Life Sciences space and become an expert in sourcing high quality and relevant candidates for open positions.\n, • Provide exceptional candidate experiences throughout the entire recruitment life cycle from the initial phone call to closing the offer.\n, • Work with numerous hiring managers while assisting with their staffing needs.\n, • Represent Meet and our global clients in order to appeal to and maintain top talent in the industry.\n, • Administrative tasks in order to keep the pipeline and system up to date.\n, • Perform tasks as assigned by the manager.\n\n \n Benefits of working at Meet: \n\n • Generous PTO package which includes the week off between Christmas and New Year’s along with a free day off for your birthday!\n, • Base salary of $50k in addition to an uncapped commission\n, • Award-winning training process and tools to succeed as a recruiter even for inexperienced team members.\n, • Exciting incentives in which the company covers all expenses including monthly lunches to 5-star restaurants, company vacations, and days out to music festivals.\n, • The opportunity to be a part of an energetic, motivated team that will offer guidance throughout your career.\n\n \n Our success in Life Sciences: \n\n • In December 2021 a private equity firm invested in us\n, • For the first time ever, we had 5 consultants billing over 1 million in 2025\n, • Sept 2024 our Contract team had a record setting month in revenue generated, and then reached a new record of runners out in December 2024.\n, • 4 consecutive quarters of revenue growth since the dip in the market\n, • In 2025 we signed 185 terms as a global business (new and re-engaged)\n, • March 2025 had our highest performing month as a business since August 2022 when the market was booming!\n, • In terms of learning & development, we had 29 promotions, 518 learning & development led trainings, and 940 personal learning & development training sessions in 2025\n, • Life Science companies and Technology companies have grown strong partnerships over the past couple of years, making the North East one of the most stable hub's in Life Sciences\n, • We won the Feefo Platinum Trusted Service Award\n\n \n Qualifications: \n\n • 6+ months of experience in a client facing role (can be full time or internship) OR in an athletic program (required)\n, • Outbound sales experience (highly preferred)\n, • Bachelor's degree\n\n \n Interview Process: \n\n • 15 minute phone screen with internal recruiter -->30 minute Zoom interview with internal recruiter --> 30 minute Zoom interview with hiring manager --> Writing assignment --> Final on-site\n\n \n Email: cedar.casper@meetlifesciences.com \n

Director AI Engineer\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, • 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, • 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, • 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, • 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, • Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline\n, • Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks\n, • Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness\n, • Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards\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 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, • 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 8 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 6 years of experience developing AI and ML algorithms or technologies\n, • At least 3 years of people leadership experience\n\n \n Preferred Qualifications: \n\n • 5+ years of experience managing and leading an engineering team\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 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 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 building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently\n, • Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks\n, • Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews)\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: $269,100 - $307,200 for Director, AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Director, AI Engineer\n \n New York, NY: $293,600 - $335,100 for Director, AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Director, 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).

Position Overview: We are seeking an experienced R&D Director to establish and lead our first US-based R&D Center in New Jersey. This role will drive the creation and enhancement of breakthrough cosmetic products, integrating cutting-edge technologies and global consumer insights to advance RéVive’s innovation pipeline. Key Responsibilities: • Build & Lead US R&D Center (0-1): Establish and manage the US R&D Center from inception. Spearhead end-to-end development of innovative cosmetic products, refine R&D processes, and ensure alignment with corporate objectives. Includes market data analysis, project design, and execution., • Consumer-Driven Innovation: Translate consumer insights into actionable R&D strategies to deepen category understanding, anticipate market trends, and refine product concepts/formulations., • Technology Scouting & Application: Proactively identify and integrate novel technologies, ingredients, and methodologies into skincare development. Collaborate with global R&D teams on cross-regional innovation projects to drive technology transfer and deployment., • Global Collaboration: Foster seamless communication and knowledge-sharing with international R&D centers. Co-lead global projects, optimize resource utilization, and elevate collective R&D efficiency and innovation output. Qualifications: Education & Experience: • Master’s degree or higher in Chemistry, Cosmetic Science, Chemical Engineering, or related field., • 8+ years of product development experience within the cosmetics industry., • Proven expertise in premium/luxury anti-aging skincare (mandatory). Skills & Attributes: • Global Mindset: Ability to operate effectively across cultures and time zones., • Strategic Vision: Deep understanding of global skincare trends, technologies, and competitive landscape., • Leadership: Experience building/scaling R&D teams and infrastructure., • Technical Excellence: Strong formulation expertise and scientific acumen., • Collaboration: Exceptional communication skills for cross-functional and global teamwork., • Location: Must be based in/relocate to the New York/New Jersey area.

Chantecaille’s mission is to create luxurious botanical beauty with impact. For the past 25 years, the brand has been at the cutting-edge of some of the industry’s most exciting innovations in skincare and cosmetics, creating iconic products like Just Skin, Future Skin, Bio Lifting Serum+ and more that are beloved worldwide. Founded by beauty pioneer Sylvie Chantecaille in 1998, the brand is known around the world for its natural-infused skincare and makeup, as well as its' impactful conservation program that supports nonprofits worldwide. Always cruelty-free and PETA-certified, products crafted by Chantecaille are the epitome of forward-thinking and created with a sustainable approach. A Beiersdorf luxury brand, Chantecaille’s global teams include some of the beauty industry’s best-in-class talent, from product formulation to creative direction, marketing and more. The culture of the workplace is collaborative, exciting, and inclusive. Position Information Ensure compliance and coordinate regulatory product registration globally. Guarantee that our brand Chantecaille meets global relevant cosmetic regulations, with frequent communication between global and local company. Owns portfolio maintenance responsibility, keeping tracking of all regulatory product changes, updating dossiers, artworks, and keeping all countries updated of any registration change. Position Responsibilities • Ensures timely and accurate product registration globally, • Refine and implement registration guidelines, processes and samples preparation, • Manage, assess, legalize and compile product data for global markets, • Review documentation for accuracy and compliance with US and international markets, • Establish synergies and maintain information exchange with third party registration consultants, affiliates, and team members, • Coordinate formula compliance check and product registration/notification, • Coordinate the product portfolio maintenance, updating dossiers, artworks and registers, • Ensures solid procedures according to the cosmetic regulation requirements and product compliance, • Maintains and optimizes cosmetic system to keep track of all registration, new regulations, and government guidelines, • Update and maintain Product Information File (PIF), • Gives advice to the stakeholders (R&D, Marketing, Legal, Supply Chain and Projects) regarding changes in the registration and impact, informing with clear direction, risk assessment and deadlines Position Qualifications • Bachelor’s degree in science or above, • 2-3 years of experience in regulatory affairs, Global product registration and notifications in cosmetics, or over-the-counter pharmaceutical industry experience (submissions, operations work a plus), • Strong interpersonal and communication skills are also essential to effectively interact with all teams, areas, and levels of business, • Proactive approach, while being detail and solution oriented, very well organized and having strong analytical skills

Tidepoint Healthcare Staffing is hiring an Interim - Nurse Manager - Patient Care Service Shift: Non-Exempt / Days 8's or 10's (MUST BE FLEXIBLE FOR BOTH) Length: 13 Weeks Requirements: • NY License, • Three (3) to Five (5) years of nursing clinical care with Charge Nurse/Supervisory experience, • Must have relevant clinical competence in area of nursing practice assigned, • Bachelor of Science with a major in nursing, • Masters in nursing or health related field, • LOOKING FOR CRITICAL CARE/MED SURG/STEPDOWN EXPERIENCE IS REQUIRED, • MSN required, • BLS Tidepoint Healthcare Staffing • Medical, dental and vision insurance with a range of coverage options, • 401(k) matching program, • Weekly direct deposit, • Industry leading allowances and reimbursements, • Referral program with cash bonuses and additional perks, • Exclusive job openings Stone Harbor Staffing Group 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, genetic information, veteran status, or any other characteristic protected by law. We also consider qualified applicants with criminal histories, consistent with applicable law. If you need assistance or an accommodation during the application process, please contact us. By applying for this position, you agree that any calls from Stone Harbor Staffing Group and its subsidiaries may be monitored or recorded for training and quality assurance purposes. The Pay Range for this position is $1,800 - $3,200. Please note that all pay rates are gross weekly pay estimates. Actual compensation is influenced by a wide array of factors including, but not limited to, shift, skill set, location and stipends, etc. Pay rate is estimated based on weekly gross income. Weekly gross pay based on qualifications and experience. Rate applies to travel positions only (50+ miles from permanent address). Estimated Weekly Rate: $1800 per week Job ID: 1150940

Machine Learning Engineer 5 (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 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/ML 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 ML 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 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 Machine Learning Engineer 5\n \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 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, 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).

AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \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).

Project Description: DXC-Luxoft has one of the world's leading Solutions practices. We are a top-tier Murex Alliance Partner and a market leader in implementation, integration, upgrade and migration. We provide end-to end project services and have delivered over 200 successful Murex projects across all major asset-classes and sectors including investment banking, asset management, corporate treasury and insurance. Compensation for NYC: 150000 - 230000 USD Gross per year based on your interview results. Whether you possess a background in finance, technology or Mathematics, your experience in the capital markets industry would be of high interest to us. Responsibilities: • Level 3 support of Murex, • o Ability to trouble shoot the Murex system for issues with the quantitative models utilizing computational finance software skills, • o Ability to explain P&L on complex derivative positions via first and second order sensitivities, • Level 3 support of the Derivatives systems in support of the trading desk, • Analysis and implementation of new Murex functionality and new product enablement initiatives, leading the FO aspect and coordinating with other supporting functions, • Identify and drive process improvements through Murex expertise, and influence evolution of Murex product Mandatory Skills Description: • 5 to 10 years working with Murex implementations and trade floor support, • 5 to 10 years Murex configuration and development skills, • Quantitative knowledge of pricing and risk management models, • Ability to implement computational finance systems, • Strong SDLC and testing skills in support of RAD development, • Possess effective communication and presentation skills to engage with stakeholders of various levels and functional groups (Traders, Quants, Middle Office), • Ability to multitask and troubleshoot complex issues in a high-pressure trading environment, • Ability to elicit and understand complex business processes/requirements from FO, and translate into Murex technical requirements, • Exhibits an ownership mindset and have proven track record of successful delivery of high impact projects Nice-to-Have Skills Description: • BS or higher degree in Finance, Mathematics, Computer Science or equivalent, • Experience with Flex, • Implementations and upgrades: MXpress; MXplus updates and MX.3 main-branch upgrades, • Test management, • Market Data management, • Good product knowledge in IRD, CRD, • Good understanding on P&L concept overall and its components Languages: • English: B2 Upper Intermediate

Head of AI Product We have a search for a Head of AI for our large alternative investment firm. They have begun with a small team who has built proprietary LLM’s and Bot’s are already used by 80% of the firm. The success has created an appetite for more. The spirit around this function is to scaling AI technologies across all business groups mainly to create alpha and secondarily, to drive efficiency. As Head of AI, you will lead the enterprise-wide strategy, across every aspect of the business, from Portfolio Management to Investor Relations. Your mandate is to scale AI solutions across business groups, putting people in place to understand the business needs and then execute them with the latest tools. This includes building scalable AI infrastructure, fostering cross-functional collaboration. You will report to the CTO and oversee and build a team of AI specialists, data scientists, and engineers. Key Responsibilities • Develop and execute a comprehensive AI strategy aligned with the organization’s business objectives, prioritizing high-impact use cases for scaling across all business units., • Lead the scaling of AI technologies enterprise-wide, including designing MLOps pipelines, real-time inference systems, and integration with existing workflows., • Collaborate with C-suite, business group leaders, and portfolio managers to identify AI opportunities, break down silos, and drive adoption., • Oversee AI infrastructure and operations, including vendor partnerships, budget management, and performance metrics to achieve efficiency gains like reducing operational costs or improving decision accuracy., • Champion innovation by piloting and scaling advanced AI technologies (e.g., generative AI, agentic systems)., • Represent the organization as an AI thought leader, building external partnerships and navigating industry-specific challenges in finance or multi-unit operations. Qualifications and Skills • Software Engineering leadership experience with an new focus on in AI/ML, with a proven track record of scaling AI initiatives.(, • Deep technical expertise in AI technologies, including machine learning, LLMs, MLOps., • Advanced degree (MS/PhD preferred) in Computer Science, AI, or a related field; executive presence for C-suite and board interactions., • Excellent communication and change management skills to foster an AI-literate culture across business groups.

Company Description Doorlist is a social platform that empowers hosts to create events and makes it easy for guests to receive invites and see what friends are up to. Designed to make hosting as fun as possible, Doorlist offers an intuitive solution for planning gatherings and connecting people. We strive to enhance social experiences by streamlining the processes of hosting and inviting guests to any IRL event. Doorlist is used by millions of passionate users across the United States Role Description Doorlist is hiring a full-time Frontend Software Engineer (Web) to join our on-site team in New York, NY. In this role, you will implement, measure, and optimize user-facing features for our web platform while collaborating closely with the product team, mobile app engineers, and backend developers. Responsibilities include writing clean, scalable, and maintainable code, debugging and solving technical challenges, and ensuring a seamless and engaging user experience across devices. Qualifications • 1-2 years of experience in a Software Engineering role, • Experience with React, • Strong foundation in Computer Science principles with practical experience in Software Development, • Proficiency in Frontend Web Development skills, including responsive design and user interface programming, • Experience collaborating with backend development teams to integrate APIs and services, • Knowledge of industry standard tools and frameworks for frontend development, • Effective problem-solving skills and a commitment to writing high-quality code, • Bachelor’s degree in Computer Science, Software Engineering, or a related field

Data Engineering Lead Architect – Azure Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit _ for more information about Fractal. Note: This position is not eligible for Immigration Sponsorship at this time. Location: New York City, NY Position Overview: If you are an extraordinary architect who loves pushing boundaries to solve complex business problems through creative, scalable solutions, we would like to speak with you. As a Data Engineering Lead Architect - Azure, you will join our Technology team and help deliver enterprise-scale data engineering platforms and data products for Fortune clients worldwide. In this highly visible leadership role, you will define data strategy, architecture standards, and governance frameworks while driving the delivery of secure, resilient, and business-ready data products on Microsoft Azure and Microsoft Fabric. You will lead complex programs from architecture through release, partner with senior business and technology stakeholders, and mentor engineering teams to build reusable capabilities that accelerate data and analytics transformation. Job Responsibilities: Architecture & Data Product Strategy • Design and build cloud-native data platforms and data products on Microsoft Azure, selecting the services, tools, architecture patterns, and engineering methodologies best suited to each client’s needs., • Define enterprise data architecture standards, reference architectures, design patterns, guiding principles, and platform blueprints for scalable, reusable, secure, and governed data products., • Architect and deliver data products on Microsoft Fabric, using enterprise master data and SAP product hierarchies as foundational data assets., • Translate business requirements into technology specifications, target-state architectures, data models, delivery plans, release strategies, and operational roadmaps. Technical Delivery & Engineering Excellence • Lead technical programs end to end, from discovery and solution design through build, testing, release, and production support, with ownership of the complete delivery lifecycle., • Develop scalable software, reusable frameworks, and engineering practices required for the end-to-end execution of large data programs., • Apply software engineering principles across all phases of the SDLC to build resilient, observable, maintainable, and high-performing solutions., • Guide the implementation of batch, streaming, lakehouse, warehouse, and real-time data processing solutions across the Azure ecosystem., • Establish and advance CI/CD, DevOps, Infrastructure as Code, containerization, release management, and automated testing practices. Data Governance, Quality & Trust • Drive enterprise data governance initiatives and partner with business stakeholders to establish clear ownership, accountability, stewardship, and decision rights across functions., • Establish and enforce data quality frameworks, controls, validation rules, observability, lineage, monitoring standards, and certification processes that produce trusted, business-ready data., • Lead the development and certification of data products aligned with organizational quality, governance, business validation, and compliance requirements., • Promote effective metadata management, master data management, cataloging, and lifecycle governance across the data platform. Client Leadership & Team Development • Partner with senior business and technology leaders to align data architecture decisions with measurable business outcomes and enterprise priorities., • Be an integral part of large-scale client business development, solutioning, estimation, proposal, and delivery engagements., • Mentor architects and engineering teams, provide hands-on technical direction, and ensure adherence to architecture standards and engineering best practices., • Collaborate with global consulting teams across multiple projects, workstreams, and geographies., • Build the knowledge base, reusable assets, and delivery playbooks required to execute increasingly complex data and analytics transformation programs. Minimum Qualifications: • 10-15 years of technology experience, including significant leadership experience in enterprise data architecture, data engineering, data platforms, data warehousing, or analytics transformation programs., • Extensive experience designing and implementing cloud-native data solutions on Microsoft Azure., • Hands-on expertise with Microsoft Fabric, including Lakehouse architecture, OneLake, Data Factory, Data Engineering, Data Warehousing, and Real-Time Analytics capabilities., • Proven success defining enterprise architecture standards, reference architectures, design patterns, and data platform blueprints., • Strong command of enterprise data governance, metadata management, master data management, data cataloging, data stewardship, and data product operating models., • Expertise in data quality management, data validation frameworks, observability, lineage, monitoring, and data product certification., • Experience integrating SAP master data, product hierarchies, and enterprise systems into modern cloud data platforms., • Deep experience with Azure data services, including Databricks, Azure Data Lake Storage, Azure Data Factory, Event Hubs or Kafka, Synapse Analytics, Cosmos DB, and related platform services., • Strong proficiency in SQL and experience with relational and NoSQL technologies such as PostgreSQL, MongoDB, Cassandra, and MySQL., • Hands-on experience with distributed processing and streaming technologies, including Spark and Kafka., • Expertise in Python, Spark, data modeling, and modern data engineering frameworks., • Strong experience with CI/CD, DevOps, Infrastructure as Code, Docker, and Kubernetes., • Excellent stakeholder management, consulting, communication, and presentation skills, with the ability to engage senior business and technology leaders., • Ability to lead and collaborate with global consulting teams across multiple projects and geographies. Preferred Qualifications: • Experience with Microsoft Purview, enterprise data catalogs, metadata management platforms, and Master Data Management solutions., • Knowledge of Data Mesh, domain-oriented data products, event-driven architecture, and real-time analytics patterns., • Experience with Snowflake, SAP Datasphere, SAP BW, or adjacent enterprise data platforms., • Azure or Microsoft Fabric certifications., • Experience in the consumer goods industry or with product, customer, and commercial data domains., • Experience establishing data product certification frameworks and governance processes at enterprise scale. Education & Experience: • Bachelor’s degree in Computer Science, Engineering, or a related technical field; a master’s degree is preferred., • B.E., B.Tech., M.Tech., or an equivalent combination of education and relevant professional experience., • 10-15 years of relevant technology experience in data architecture, data engineering, cloud platforms, or enterprise analytics transformation. Core Technology & Leadership Skills: Microsoft Fabric, Azure Data Engineering, Azure Data Factory, Azure Data Lake Storage, Databricks, Enterprise Data Architecture, Data Product Development, SAP Master Data Integration, SAP Product Hierarchies, Data Governance, Data Quality Management, Data Modeling, SQL, Python, Spark, Kafka, CI/CD, DevOps, Docker, Kubernetes, Stakeholder Management, and Solution Architecture. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $145,000 - $190,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Applied AI Engineer NYC, hybrid We're partnered with a leading quantitative investment and technology firm that is building out a new generation of AI-powered tooling and looking to hire an AI Engineer to help drive the initiative. This is a highly hands-on role focused on identifying real business problems and building AI-driven solutions that improve how engineers, researchers, and domain experts work. Rather than conducting pure AI research, you'll design and deploy production-grade systems that leverage modern LLMs, agents, and workflow automation to create measurable impact. What You'll Work On: • Agentic AI systems and multi-agent workflows, • Internal copilots and knowledge assistants, • Workflow automation and AI-powered productivity tools, • RAG applications and retrieval systems, • LLM integrations and business-facing AI solutions, • Developer tooling and internal platforms, • End-to-end AI product development from concept to production Required: • BS or higher from a top-tier academic institution in Machine Learning, AI, Computer Science, Mathematics, Statistics, or a related field, • Strong software engineering fundamentals, • Expert-level Python development experience, • Experience building and deploying AI applications in production, • Hands-on work with agents, LangGraph, LangChain, MCP, RAG, or similar frameworks, • Experience partnering with stakeholders to solve business problems through technology, • Ability to operate independently and take ownership of projects from idea to delivery, • Excellent communication skills Ideal Backgrounds: • AI startups, fronier AI labs, or top AI tech teams, • Developer productivity platforms, • Internal tooling organizations, • AI platform and infrastructure teams, • Enterprise AI product teams, • Applied AI and automation-focused engineering groups This is an opportunity to join a small, high-impact team where you'll have significant ownership over both technical direction and product outcomes while working on some of the most interesting AI challenges in industry. Apply now if this sounds like a great fit! Applications remain confidential No contractors

Head of Product New York City | San Francisco About MatterMore MatterMore's mission is to provide our clients with frontier workforce intelligence, steering how humans work with each other and with AI by applying advanced research techniques from data science, I/O psychology, and other fields to an expanding set of workforce data. About the role MatterMore delivers intelligence that companies use to make critical decisions for transforming their workforce. We enable business leaders to skillfully navigate AI transformation to empower human and economic flourishing. We distill vast amounts of enterprise data into truth, turn that truth into actionable insights, and compose those insights into stories that move executive stakeholders to make informed, high-impact decisions. We are a dedicated team of researchers and engineers working with global Fortune 500 enterprise customers. We are looking for someone who can fuse product-building, analytics, and design. You will lead product direction for our workforce intelligence & transformation platform – prototyping new ideas and continuously shipping production-quality features to customers. You will guide our data scientists, engineers, and data analysts through close collaboration. You'll need strong taste and intuition and an opinionated perspective – thriving under intense ambiguity. We have customers and a working delivery model. You will turn the feedback of what’s working into product that scales across accounts while shaping what our holistic platform becomes. We're seeking a highly technical product leader, with the analytics background to understand what we can do with our rich datasets and team’s capabilities, along with the product and business chops to determine what we should do, to provide transformative value to our industry-leading customers. If this sounds like you – let’s talk! Responsibilities • Ship enterprise-grade product that helps users make critical workforce decisions and get the answers they need – measuring success by impact and stakeholder adoption, • Run prototype-first cycles to test new product surfaces and new ways of presenting data to executives, • Shape product vision, strategy, and roadmap based on highest-leverage opportunities across custom ers and emergent capabilities, • Pull customers toward frontier thinking on what's possible, and synthesize feedback streams into product requirements that work across deployments, • Guide Research, Engineering, and Analytics teams to define what ships and when – shaping sprint cadence, calibrating scope, and holding the line on quality You may be a good fit if you have Strong full-stack data product capability with design intuition • 6+ years building and shipping data/analytics products, applied in mission-critical organizational or business-operational context, • Strong product craftsmanship: familiarity with AI-collaborative building, UX research, interaction design, and PRDs, • Strong data/analytics experience: developing new metrics, analyzing behavior, and translating findings into product decisions, • Skepticism of vanity metrics; interest in measuring true-impact outcomes, • Track record of independently driving features from prototype to production at scale Deep conviction about human capability and perspectives on AI • Deep curiosity about how humans and AI work together, • Strong perspective on how technology should enhance human capabilities rather than diminish them, • A point of view on what humane approaches to AI deployment look like – and willingness to make that case to customers whose first instinct is to cut headcount Research mindset with product execution • Comfort with ambiguity and exploring undefined problem spaces, • Ability to rapidly prototype, test with users, navigate ambiguity, and iterate toward production, • Strong instincts for product design and user experience, even without formal design training, • Rigorous about measurement – defining success up front and updating beliefs based on insight and feedback Strategic leadership and customer credibility • Elite communicator capable of interfacing with our engineers, analysts, non-technical teammates, and our customer stakeholders who sit across that spectrum, • Experience setting vision, shaping team strategy, and building conviction across cross-functional stakeholders, • Strong sense of prioritization – knowing what to build now, what to defer, and what to cut, • Track record of influencing roadmaps and decisions beyond your immediate team Strong candidates may also have • Founder or early-stage operator experience where scope was wide and you wore many hats, • Strong technical data fluency – comfortable in SQL, modern data tools (dbt, BigQuery, semantic modeling), and reading code well enough to be a credible counterpart to engineers, • Experience building AI-native product experiences or working with LLMs in production, • Background in people analytics or organizational psychology; built data or analytics products with organizational data, behavioral telemetry, sentiment, or some combination What this role is not This is a hands-on, founding-team product lead role with broad scope and high autonomy at a startup’s inflection point. You'll define the function, ship the work, and steer what MatterMore becomes by interfacing directly and closely with customers. If you're looking to step into an established function with direct reports and limited customer interaction, this isn't the right fit. Final notes There are way too many AI submissions so if you're interested please (1) connect with our CEO on LinkedIn and send us a DM and (2) email careers@mattermore.ai and we'll be sure to review your application!

Senior AI/ML Engineer Location: New York, NY Compensation: $180,000 – $250,000 base + bonus + comprehensive benefits (including pension, 401(k), and more) Industry: Global P&C Insurance About the role and client James Search Group is excited to partner with a leading global property and casualty insurance carrier to identify a Senior AI/ML Engineer to join a high-impact enterprise data and artificial intelligence team. This group is at the forefront of transforming how the insurance industry leverages data, analytics, and emerging AI technologies to enhance decision-making and drive profitability across the organization. As a key contributor, you will design and implement scalable machine learning and AI-driven solutions to solve complex business challenges. This role is ideal for a hands-on, innovative professional passionate about delivering real-world business impact through advanced data modeling and machine learning strategies. Key Responsibilities: • Develop and deploy end-to-end AI/ML models—including classification, forecasting, uplift modeling, and fine-tuning of foundational models., • Identify use cases for AI across areas such as underwriting, claims, risk evaluation, and customer experience., • Work cross-functionally with technical and business stakeholders to deliver actionable insights and scalable solutions., • Translate sophisticated AI/ML outputs into clear business recommendations for non-technical stakeholders., • Stay current with the latest trends in AI/ML, incorporating new tools and methodologies to enhance the organization’s data capabilities. Required Qualifications: • Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Operations Research, or a related field., • Minimum of 5 years of hands-on experience in data science and machine learning, including techniques like regression, decision trees, neural networks, and ensemble models., • At least 2 years of experience working with large language models (LLMs) and foundational AI systems., • Strong programming skills in Python and SQL, with experience using popular data science libraries and frameworks., • Background in building and deploying ML models in cloud environments (e.g., Azure, AWS)., • Proficient in handling and integrating large structured and unstructured datasets., • Strong analytical skills with a demonstrated ability to extract actionable insights from complex data., • Excellent verbal and written communication skills; capable of simplifying complex technical concepts for business audiences. Preferred Qualifications: • Expertise in natural language processing (NLP) and natural language understanding (NLU)., • Experience leading multi-functional AI projects or initiatives., • Background in insurance, particularly within claims, underwriting, or risk analytics., • Familiarity with actuarial data, insurance KPIs, or related industry-specific datasets., • Collaborative mindset with the ability to drive change and build consensus. Apply now to take the next step in a high-impact, forward-thinking role within a dynamic and innovative insurance environment.

About the ANA The ANA’s (Association of National Advertisers) mission is to drive growth for marketing professionals, brands and businesses, the industry, and humanity. Founded in 1910, the ANA provides leadership that advances marketing excellence and shapes the future of the industry. Our membership includes more than 20,000 brands and 50,000 industry professionals that collectively invest $400 billion in marketing and advertising annually. It consists of U.S. and international companies, including client-side marketers, nonprofits, universities, and marketing solutions providers, which include ad agencies, marketing data science and technology suppliers, law firms, consultants, and vendors. We are obsessed with delighting our members through superior products and services and an unwavering commitment to helping them become more effective marketers, build stronger brands, develop a more productive industry, and benefit humanity through bold leadership and innovation programs. Location New York City Position Summary The Executive Vice President, Measurement for Marketers (MFM), will lead ANA’s efforts to shape the future of marketing and media measurement. This senior executive will establish and advance a clear, marketer-led vision, helping marketers navigate an increasingly fragmented, data-driven, and AI-enabled ecosystem while strengthening their ability to demonstrate marketing’s contribution to business growth and enterprise value. This is a highly visible industry leadership role. The EVP will represent the priorities of marketers to senior executives across the marketing and advertising ecosystem and build strong relationships with measurement providers, platforms, media companies, agencies, standards-setting organizations, and industry associations. The executive will convene diverse stakeholders, foster cross-industry collaboration, and lead efforts to improve the quality, transparency, consistency, comparability, and business relevance of measurement. The EVP will set the strategy and priorities of the Measurement for Marketers practice and lead a three-person team responsible for translating that direction into member and industry value. The portfolio includes major strategic initiatives, proprietary research and guidance, the Enterprise Marketing Measurement Leadership Council, a national industry conference, additional member events, and other educational and thought-leadership programs. As a member of the CEO’s senior leadership team, the EVP will contribute strategic thinking and executive judgment to the broader leadership and operations of the ANA. The successful candidate will bring the credibility, relationships, judgment, and subject-matter expertise required to shape industry priorities and move the measurement ecosystem toward practical solutions that better serve marketers. Essential Functions and Responsibilities Strategic and Industry Leadership • Establish and lead the strategic agenda for the Measurement for Marketers practice, advancing its focus beyond paid-media measurement to encompass the holistic measurement of marketing’s contribution to business growth and enterprise value. Identify and prioritize the measurement issues most consequential to marketers and translate them into focused industry initiatives, research, guidance, and member value., • Serve as ANA’s senior subject-matter expert and external representative on marketing and media measurement, articulating a clear marketer perspective with senior executives, industry organizations, standards bodies, and other influential stakeholders., • Build trusted relationships and foster collaboration with marketers, agencies, media companies, platforms, measurement providers, industry associations, and standards-setting organizations. Maintain and advance ANA’s strategic relationship with the Media Rating Council, supporting rigorous industry standards, independent verification, and accreditation that strengthen confidence in measurement., • Lead initiatives that improve the quality, transparency, consistency, comparability, and business relevance of measurement, addressing both holistic enterprise marketing impact and the effectiveness of paid-media investments. Strengthen marketers’ ability to connect marketing activity and investment to incremental growth, brand and customer value, market share, profitability, and other enterprise outcomes., • Lead the Enterprise Marketing Measurement Leadership Council and other executive and industry forums that identify marketer priorities, inform the MFM agenda, and help build support for meaningful industry progress., • Monitor developments in media, data, technology, privacy, artificial intelligence, and measurement methodologies; assess their implications for marketers; and ensure that MFM remains at the forefront of emerging industry needs. Practice and Organizational Leadership • Lead, develop, and support a high-performing three-person team, translating strategy into clear priorities and ensuring the effective delivery of MFM initiatives, research, programs, and member services., • Provide strategic oversight of the practice’s portfolio, including the national industry conference, additional member events, webinars, committees, executive engagement, educational programming, and thought-leadership content., • Collaborate across ANA practices and functions to advance shared organizational and member priorities. Competencies Sought • Executive and industry leadership: Established credibility, executive presence, and sound judgment, with the ability to represent ANA effectively with CMOs, senior industry leaders, measurement and media executives, standards-setting organizations, and other influential stakeholders., • Member orientation: Deep commitment to understanding and serving the needs of ANA members, with the ability to translate their priorities and challenges into meaningful initiatives, practical resources, and broader industry progress., • Strategic vision: Ability to anticipate consequential changes in marketing, media, data, technology, and measurement; establish a clear, marketer-led vision; and translate that vision into focused priorities and a coherent strategic agenda., • Measurement and business expertise: Deep understanding of the marketing and media measurement ecosystem, with the ability to connect measurement methodologies and technical issues to marketing effectiveness, business growth, financial outcomes, and enterprise value., • Influence and coalition building: Demonstrated ability to convene organizations with different interests, build trusted relationships, create alignment, and advance complex industry initiatives through influence rather than direct authority., • Communication and thought leadership: Exceptional written, verbal, presentation, facilitation, and listening skills, including the ability to make complex technical and methodological subjects accessible and relevant to senior business leaders and varied industry audiences., • Strategic execution: Ability to move fluidly between long-term industry strategy and the practical decisions required to translate that strategy into high-quality research, guidance, initiatives, events, and member value., • People and team leadership: Collaborative and accountable leadership style, with the ability to set clear priorities, mentor and develop team members, delegate effectively, and enable a small, high-performing team to deliver a broad and ambitious portfolio., • Personal integrity and accountability: High degree of personal ownership, intellectual curiosity, diplomacy, discretion, and integrity, with the maturity and judgment required to represent ANA in complex and highly visible industry settings. Minimum Requirements • Bachelor’s degree from an accredited institution; advanced degree in a relevant field preferred., • At least 15 years of progressively responsible experience in marketing and/or media measurement, marketing effectiveness, research, analytics, advertising, or a related field., • Significant senior leadership experience setting strategy, leading complex initiatives, and engaging with senior executives and industry stakeholders., • Deep knowledge of both enterprise marketing measurement and paid-media measurement, including their connection to marketing effectiveness, business growth, and enterprise value., • Demonstrated success building relationships, convening diverse stakeholders, and advancing multi-organization initiatives through influence and collaboration., • Proven experience leading, mentoring, and developing a high-performing team, combined with strong executive communication, public speaking, and facilitation skills., • Ability and willingness to travel as required. Salary and Total Rewards Package Starting pay range: $325,000 to $350,000, based on relevant experience and qualifications. Comprehensive health and wellness benefits, 401k with company match, flexible scheduling, generous paid time off program, casual dress code, incentives, and rewards. To Apply If your skills, experience, and enthusiasm align with the requirements and responsibilities of this position, please forward your resume with a cover letter and salary requirements to careers@ana.net. Note: only applicants who include salary requirements will be considered.

OVERVIEW OF THE COMPANY Fox News Media FOX News Media operates the FOX News Channel (FNC), FOX Business Network (FBN), FOX News Digital, FOX News Audio, FOX News Books, the direct-to-consumer digital streaming services FOX Nation and FOX News International and the newly announced platform FOX Weather. Currently the number one network in all of cable, FNC has also been the most watched television news channel for 20 consecutive years, while FBN currently ranks among the top business channels on cable. Owned by FOX Corporation, FOX News Media reaches 200 million people each month. JOB DESCRIPTION Fox News Media is seeking an experienced Senior Systems Design Engineer to develop, maintain, and implement broadcast systems designs across our media facilities. This role will establish engineering standards, produce and review technical documentation, and ensure that system designs are accurately implemented in our in house NDOX documentation tool. The ideal candidate has strong broadcast engineering experience, exceptional attention to detail, and the ability to translate operational requirements into clear, scalable, and supportable systems designs. A SNAPSHOT OF YOUR RESPONSIBILITIES • Design broadcast systems for studios, control rooms, production spaces, technical facilities, and supporting infrastructure., • Define and maintain systems design standards, engineering guidelines, documentation requirements, drawing conventions, and design workflows., • Develop system architectures, signal-flow diagrams, block diagrams, equipment lists, rack elevations, wiring documentation, network requirements, and technical specifications., • Implement and maintain systems designs in NDOX, ensuring that design data, equipment information, system relationships, and documentation remain accurate and current., • Review engineering drawings, system designs, technical specifications, bills of materials, vendor submittals, and installation documentation for accuracy, completeness, and compliance with established standards., • Perform design reviews and provide technical feedback to engineering teams, vendors, contractors, and project stakeholders., • Ensure that approved designs are implemented consistently during installation, integration, testing, commissioning, and operational handoff., • Design and support baseband, IP, and hybrid broadcast systems using current industry practices and technologies., • Develop solutions incorporating SMPTE ST 2110, NMOS, PTP, multicast networking, routing, storage, monitoring, control, and facility infrastructure., • Collaborate with broadcast engineering, operations, IT, networking, facilities, and vendors to validate requirements and ensure system interoperability., • Evaluate proposed technologies and equipment for technical suitability, lifecycle support, scalability, reliability, and alignment with engineering standards., • Maintain accurate as-built documentation and update NDOX records following system modifications, upgrades, migrations, and commissioning activities., • Participate in system testing, troubleshooting, acceptance reviews, and post-implementation assessments., • Support continuous improvement of design processes, documentation quality, and system lifecycle management. WHAT YOU WILL NEED • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Broadcast Engineering, or a related field., • At least five years of experience designing, integrating, or supporting complex broadcast, media, audiovisual, or technical infrastructure systems., • Strong knowledge of broadcast system architecture, signal flow, routing, synchronization, monitoring, control, and facility infrastructure., • Experience developing and reviewing detailed engineering documentation and technical drawings., • Experience defining or applying engineering standards, design criteria, documentation practices, and quality-control processes., • Experience working with systems databases, documentation platforms, or facilities engineering management tools; experience with NDOX is preferred., • Hands-on experience with IP-based broadcast technologies, including SMPTE ST 2110, NMOS, PTP, multicast, and networked media systems., • Experience designing baseband, IP, and hybrid broadcast environments., • Working knowledge of broadcast control systems, media asset management, storage, automation, monitoring, and cloud-based media workflows., • Proficiency with technical design and documentation tools such as AutoCAD, Visio, Lucidchart, or similar platforms., • Strong understanding of networking, VLANs, routing, switching, storage, cybersecurity principles, and system interoperability., • Experience reviewing vendor designs, submittals, installation drawings, test documentation, and as-built records., • Strong communication, collaboration, presentation, and problem-solving skills., • Ability to explain complex technical concepts clearly to technical and non-technical stakeholders., • Project coordination experience and PMP certification are preferred but not required. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law. Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $114,000.00-160,000.00 annually. This role is also eligible for various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.

Client Overview A leading organization focused on operational excellence and technology-driven business transformation, leveraging enterprise SAP solutions to support its supply chain, logistics, and financial operations. Our client is seeking a Manager, SAP Applications to lead SAP application support, optimization, and strategic initiatives across Supply Chain, Logistics, and Finance. Salary/Hourly Rate $130k - $150k Position Overview The Manager, SAP Applications will lead SAP application support, optimization, and strategic initiatives across Supply Chain, Logistics, and Finance. Following a recent SAP S/4HANA go-live, this role will take ownership of SAP Logistics, beginning with Materials Management (MM), while helping drive system stability, continuous improvement, and future roadmap development. The ideal candidate brings deep SAP MM functional expertise, broad cross-module knowledge, and proven leadership experience managing teams, implementations, and production support in a complex enterprise environment. Responsibilities Of The Manager, SAP Applications • Lead and develop the SAP applications team, providing direction, coaching, and technical guidance across onshore and offshore resources., • Own SAP Logistics capabilities, initially focusing on Materials Management (MM), while supporting integration across Finance, Supply Chain, and other business functions., • Manage SAP implementation, enhancement, and support initiatives, ensuring alignment with business priorities, timelines, budgets, and delivery standards., • Oversee project planning, resource allocation, vendor relationships, and budget management for SAP application initiatives., • Partner with business stakeholders to gather requirements, translate operational needs into SAP solutions, and prioritize enhancements., • Drive SAP S/4HANA optimization following go-live, improving system performance, process efficiency, and user adoption., • Troubleshoot complex production issues, lead root-cause analysis, and manage escalations to ensure reliable business operations., • Develop and maintain the SAP applications roadmap, identifying opportunities for automation, process improvement, and emerging technologies., • Support integration across SAP MM, FI/CO, SD, and PP to maintain end-to-end process consistency., • Evaluate and implement relevant capabilities involving SAP Fiori, embedded analytics, planning solutions, RPA, and GenAI. Required Experience/Skills For The Manager, SAP Applications • 8+ years of SAP implementation, application support, or related enterprise SAP experience., • 5+ years of hands-on SAP MM functional configuration and production support experience., • 3+ years in a people-management, team-lead, or equivalent leadership role., • Experience participating in at least two full lifecycle SAP implementations., • Strong knowledge of Materials Requirements Planning (MRP), material master data, classification, bills of materials (BOMs), and inventory valuation., • Experience with SAP ECC and SAP S/4HANA, including integration across MM, FI/CO, SD, and PP., • Proven ability to manage SAP projects, coordinate cross-functional stakeholders, and oversee support and delivery activities., • Strong problem-solving, communication, prioritization, and escalation-management skills. Preferred Experience/Skills For The Manager, SAP Applications • Experience with SAP RISE Private Cloud environments., • Familiarity with SAP Fiori and embedded analytics., • Knowledge of SAP APO and supply chain planning processes., • Consumer Packaged Goods (CPG) industry experience., • Exposure to SAP IBP, o9 Solutions, or other supply chain planning platforms., • Experience introducing automation, robotic process automation (RPA), or GenAI capabilities into enterprise workflows., • Experience managing onshore and offshore teams and external implementation partners. Education Requirements • Bachelor’s degree in Information Technology, Computer Science, Business, Supply Chain Management, or a related discipline preferred., • Equivalent relevant SAP experience and demonstrated leadership capability may be considered. Benefits • Client-provided benefits available, upon eligibility., • Opportunity to lead SAP application strategy and optimization following a major S/4HANA go-live., • High-impact leadership role with exposure to enterprise-wide supply chain, logistics, and finance initiatives.

Software Builder Employment Type: Direct Hire Location: Primarily Remote, U.S. | Eastern Time hours preferred Compensation: $120,000-$140,000 base, depending on experience Travel: Minimal Position Overview We are seeking a Builder / Builder Lead to deliver technology solutions for healthcare payer clients using a no-code, configuration-driven platform. This role is ideal for a full-stack engineer who enjoys solving complex technical problems but wants to work beyond traditional application development. You will partner with client IT teams and internal product and engineering teams to translate business requirements into technical configurations, API integrations, and workflows. While the role is configuration-focused rather than coding-intensive, strong software engineering fundamentals are essential. Key Responsibilities • Gather requirements from client IT teams and translate them into technical solutions., • Configure workflows, business logic, and API integrations within the company's no-code platform., • Determine API calls, parameters, response handling, and application workflows., • Troubleshoot and resolve production and implementation issues., • Collaborate with product analysts, product managers, and platform engineering teams., • Create reusable implementation standards, patterns, and best practices., • Provide technical guidance to other Builders and take ownership of complex client challenges. Required Qualifications • 2-4+ years of full-stack software engineering experience across front-end and back-end technologies., • Strong understanding of modern front-end concepts and technologies such as JavaScript, React, Angular, or Next.js., • Strong knowledge of REST APIs, including requests, responses, parameters, and status codes., • Ability to understand how front-end applications, back-end services, and APIs interact., • Experience translating business requirements into technical designs and solutions., • Strong debugging, production support, and problem-solving skills., • Understanding of application and system architecture., • Strong communication skills and ability to work directly with client IT teams., • Self-starter with a high degree of ownership and comfort working in a fast-paced environment. Preferred Qualifications • Experience in U.S. healthcare, particularly the payer/health insurance space., • Experience with low-code, no-code, or configuration-driven platforms., • Client-facing implementation or solutions engineering experience., • Familiarity with AI-assisted development/productivity tools., • Experience developing technical standards, reusable patterns, or implementation playbooks., • Bachelor's degree in Computer Science, Engineering, or a related technical field preferred. What Makes Someone Successful The strongest candidates combine software engineering fundamentals with an analyst and solutions mindset. They can quickly learn new technology, independently solve ambiguous problems, communicate effectively with technical clients, and translate business needs into scalable technical solutions. Why Join? • High-impact role with direct ownership of client delivery., • Exposure to a growing product-based technology environment., • Opportunity to develop deep expertise in the U.S. healthcare industry., • Work at the intersection of engineering, product, solutions, and client delivery., • Exposure to modern no-code and AI-assisted technologies., • Opportunity to help define standards and best practices for a growing team.

Our client, a major bank, is looking to hire a Business Automation Analyst in New York, NY or Jersey City, NJ. Pay Rate Range: $60-65/hr W2, based on experience Responsibilities: LOCATION: can sit in either Jersey City or NYC (1 NY Plaza) • Hybrid: 3 days in office, 2 days remote Automation Initiatives – Wealth Management Operations Job Summary: We are seeking an Associate to support and drive automation initiatives within our Wealth Management Operations division. In this role, you will balance technical development skills with business analysis and stakeholder engagement. You will work closely with operations teams to identify high-impact process automation opportunities and implement solutions using RPA platforms (such as UiPath, Power Automate, etc..) and scripting languages (Python, VBA, SQL, etc.). The ideal candidate has a strong understanding of operational processes and controls, experience delivering automation projects, and excellent communication skills to ensure successful adoption of new solutions. Responsibilities & capabilities • Process Analysis & Opportunity Identification: Work with TEMCO teams to uncover automation use cases, evaluate feasibility and potential value, and prioritize quick-win opportunities. Clearly document business requirements, acceptance criteria, and expected outcomes for each initiative., • Automation Solution Design & Development: Translate business and control requirements into robust automation solution designs. Design, build, test, and deploy automation solutions using RPA tools, workflow automation software, and scripting technologies. Ensure solutions are scalable, resilient, and meet performance expectations. Support user acceptance testing (UAT), rollout, and operational readiness for all automation deployments., • Stakeholder Engagement & Change Adoption: Serve as a liaison between technology teams and business stakeholders in operations. Provide training and guidance to operations staff adopting new automated processes to ensure smooth transitions. After implementation, highlight achieved improvements and value to encourage organization-wide support for automation initiatives., • Production Support & Continuous Improvement: Monitor and support production automations, promptly investigating and resolving any incidents or exceptions to minimize business disruption. Perform root-cause analysis on automation failures and implement enhancements to prevent recurrence. Gather feedback post-implementation and drive continuous improvement of automation solutions and processes. Identify opportunities to reuse components and implement best practices to increase efficiency and consistency across Wealth Management Operations automation projects., • Communication & Reporting: Provide transparent updates on project status, risks, and realized benefits to stakeholders and leadership. Ensure any risks or issues are escalated in a timely manner and that project milestones are well-communicated. Requirements: * HM: "Consulting experience is a plus however the role is primarily an automation and data analytics position. We are looking for someone with advanced technical background in building automation solutions. " TOP SKILLS 1. Minimum 5 years' experience, 2. BACHELOR'S REQUIRED in Business or Computer Science or related field, 3. Data fluency, 4. Certification in automation tools preferred Qualifications • Education & Experience: Bachelor's degree or equivalent experience. Approximately 5+ years of experience designing and delivering process automation solutions in the financial services industry (preferably within Wealth Management Operations)., • Automation Tools Expertise: Hands-on experience with leading RPA/automation platforms – such as Alteryx, UiPath & Microsoft Power Automate for developing automated workflows. Strong scripting/programming skills in languages like Python, VBA, or SQL for building custom automation scripts and integrations., • Domain Knowledge: Solid understanding of Wealth Management Operations processes, including areas like trade processing, settlements, reconciliations, client reporting, reference data, and exception management., • Analytical & Problem-Solving Skills: Demonstrated strength in business analysis, process mapping, and problem-solving. Ability to analyze complex operational workflows, identify inefficiencies, and define improvement solutions. Critical thinking skills to challenge assumptions, validate automation outcomes, and ensure solutions are robust and error proofed by design. Education Level Bachelor's Degree Experience Level Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.