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Gottlieb & Greenspan is a rapidly growing law firm at the forefront of healthcare reimbursement litigation, with a specialized focus on disputes arising under the No Surprises Act (NSA). Our firm is known for its high‑stakes advocacy, strategic litigation approach, and commitment to delivering exceptional results for our clients. We pride ourselves on being ethical, respectful, accountable, positive, driven, and committed to excellence. We are seeking a motivated Paralegal to join our growing State Arbitration and Worker's Compensation team. The ideal candidate will perform a variety of tasks, including legal document preparation, communication with medical offices, and preparing/filing State-Arbitration briefs. As a Paralegal at Gottlieb and Greenspan, you will be an integral part of our legal team, supporting attorneys in a diverse field of various states. Responsibilities: • Draft, review, and/or analyze routine legal documents as requested by attorneys., • Enter arbitration/case calendaring where appropriate to track filings and appropriately distribute information., • Perform elements of case management, including electronic file management and schedule tracking., • Regularly interact with clients to provide updates on their cases and to request further documentation., • Review briefs and filings for conformity with court-specific formatting, citation, and procedural requirements. Requirements: • Bachelor's degree from an accredited college required., • Paralegal certification preferred, not required., • Minimum 2+ years' work experience in a high-volume civil litigation practice as a paralegal. (Ample training on the relevant cases will be provided)., • Proficiency in the Microsoft Office Suite/Excel., • Experience developing and maintaining processes to organize and maintain electronic case files., • Preference in coordinating trial/arbitration logistics in either New York or New Jersey., • Strong knowledge of legal terminology, court procedures, and document management., • Excellent organizational skills and attention to detail., • Strong written and verbal communication skills., • Positive, collaborative outlook, and strong interpersonal skills., • Preference for the ability to read and decipher medical EOBs, • Preferred familiarity with CPT coding Salary Range: $60,000-70,000 / year, commensurate with experience Benefits: • 100% employer paid Medical Insurance for employees, starting day 1, • 100% employer paid Dental and Vision Insurance for employees, starting within 31 days, • 401(k) with Employer Contributions, • Profit Sharing, • Cash Balance Plan (similar to pension), • Competitive PTO & Paid Holidays, • Friendly, team-focused culture where your work matters Visit us at www.gottliebandgreenspan.com to learn more! Gottlieb & Greenspan is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, veteran status, age, or any other protected status under applicable federal, state, or local laws. Candidates must be authorized to work in the United States and not require sponsorship now or in the future for employment‑based visas, including but not limited to H‑1B, TN, O‑1, or E‑3 classifications. Gottlieb & Greenspan is committed to providing reasonable accommodations to individuals with disabilities throughout the application, interview, and employment process. Applicants who require accommodation may contact Human Resources to request support. The duties and responsibilities described above are intended to outline the general nature and level of work performed. They are not an exhaustive or complete list of all tasks, responsibilities, or requirements. Additional duties may be assigned or modified at any time with or without notice.

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams\n, • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems\n, • Lead large-scale ML initiatives with the customer in mind\n, • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale\n, • Optimize data pipelines to feed ML models\n, • Use programming languages like Python, Scala, or Java\n, • Evangelize best practices in all aspects of the engineering and modeling lifecycles\n, • Recruit, nurture, and retain top engineering talent\n, • Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers\n, • Recruit, nurture, and retain top engineering talent\n, • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 3 years of people leadership experience\n, • At least 8 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience managing and leading an engineering team\n, • 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • Ability to communicate complex technical concepts clearly to a variety of audiences\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n, • Experience hiring and developing high-performing ML engineers with an inspiring leadership style \n, • Highly developed interpersonal, presentation, and communications skills\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer\n \n New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Role Overview \n We are seeking an experienced Senior Manager within Market Risk with deep expertise in U.S. structured products, including ABS, MBS, CMBS and related securitized products. \n \n The role requires a strong understanding of the U.S. securitized-products market and the ability to independently assess market risk, pricing and valuation dynamics across complex portfolios. \n \n This is a senior technical and risk-management position requiring sound judgment, market expertise and the ability to challenge trading and valuation assumptions from an independent Market Risk perspective. \n \n Key Responsibilities \n\n • Provide independent Market Risk oversight of structured-product portfolios, with particular focus on ABS, MBS, CMBS and other securitized or mortgage-related instruments.\n, • Monitor and assess market risk exposures across the portfolio, including key sensitivities, spread risk, interest-rate risk, volatility risk, basis risk and other relevant risk drivers.\n, • Develop a deep understanding of portfolio positioning and risk concentrations, identifying emerging risks and potential vulnerabilities under changing market conditions.\n, • Perform rigorous analysis of valuation and pricing, independently assessing whether market prices, model outputs and valuation assumptions appropriately reflect prevailing market conditions and underlying risk characteristics.\n, • Challenge Front Office pricing and valuation methodologies where appropriate, using market data, comparable instruments, model analysis and professional judgment.\n, • Understand and assess the impact of key structural characteristics of securitized products, including prepayment behavior, extension/contraction risk, credit enhancement, collateral performance, tranche structure and optionality.\n, • Monitor developments in the U.S. ABS, MBS and CMBS markets, including changes in liquidity, spreads, issuance activity, investor positioning, collateral performance and macroeconomic drivers.\n, • Evaluate portfolio risk under both normal and stressed market conditions and contribute to the development and interpretation of stress-testing and scenario-analysis frameworks.\n, • Assess the adequacy of risk metrics and methodologies used to capture the specific characteristics and nonlinear behavior of structured products.\n, • Perform independent analysis using industry-standard valuation and analytics platforms, including Numerix and/or Polypaths, as well as other relevant analytical tools.\n, • Support the review and enhancement of market-risk frameworks, limits, controls and monitoring processes applicable to securitized-product portfolios.\n, • Identify material changes in portfolio risk, valuation uncertainty or market liquidity and communicate them clearly to Market Risk management and relevant senior stakeholders.\n, • Partner effectively with Trading, Finance, Model Risk and other control functions while maintaining an independent Market Risk perspective.\n, • Provide senior-level technical expertise and guidance on structured-product risk without requiring the broader organizational or strategic scope expected of a Principal or Director-level role.\n\n \n Required Experience \n\n • 10+ years of relevant professional experience in Market Risk, Trading Risk, Valuation, Product Control or a closely related function within fixed income or structured products;\n, • At least 5–7 years of direct experience covering U.S. securitized products, including ABS, MBS and CMBS.\n, • Demonstrated experience in market risk measurement, valuation and pricing assessment of complex fixed-income and structured-product portfolios.\n, • Strong track record analyzing sensitivities, stress scenarios, spread risk, interest-rate risk, optionality, prepayment risk and extension risk.\n, • Significant exposure to the U.S. structured-products market, ideally within a major bank, broker-dealer, asset manager or other institution with meaningful securitized-products activity.\n, • Hands-on experience using Numerix and/or Polypaths for valuation, cash-flow analysis and risk measurement.\n, • Experience independently challenging Front Office assumptions, pricing and risk assessments from an independent Market Risk perspective.\n, • Prior experience interacting with senior stakeholders across Trading, Risk, Finance, Valuation and Model Risk.\n\n \n Required Qualifications and Expertise \n\n • Deep expertise in ABS, MBS and CMBS, with strong understanding of product structures, cash-flow behavior, embedded optionality and key valuation and risk drivers.\n, • Strong and demonstrable knowledge of the U.S. securitized-products market.\n, • Significant experience analyzing market risk through sensitivities, scenario analysis, stress testing and other quantitative and qualitative risk measures.\n, • Strong valuation and pricing expertise, including the ability to independently assess market levels and critically evaluate model-based valuations.\n, • Strong understanding of fixed-income markets, yield curves, credit spreads, volatility, liquidity and relative-value dynamics.\n, • Excellent analytical and quantitative capabilities, combined with strong commercial and market judgment.\n, • Ability to interpret complex portfolios and translate technical risk analysis into clear conclusions and actionable risk assessments.\n, • Strong communication skills and the ability to engage credibly with senior stakeholders, traders, quantitative teams and other control functions.\n, • Demonstrated ability to work independently and exercise sound judgment in complex or fast-moving market environments.\n\n \n Preferred Background \n\n • Prior experience within a major U.S. or international bank, broker-dealer, asset manager or other institution with significant structured-products activity.\n, • Experience covering trading desks active in U.S. securitized products from a Market Risk or independent risk-management perspective.\n, • Strong familiarity with mortgage analytics, prepayment models, cash-flow modeling and structured-product valuation methodologies.\n, • Knowledge of relevant market data sources, valuation platforms and risk infrastructure used within securitized-products businesses.\n\n \n All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. \n \n With respect to this position in our New York Office, the expected base salary ranges from $190,000 to $210,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. \n \n *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions

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

Investment Operations Associate – New York, NY (onsite) \n Asset management and holding company is looking for an Associate to join the Investment Operations Team. You'll be joining a nimble, experienced team focused on trade operations and reporting across various structured product asset classes, including private credit, broadly syndicated loans, asset-based leases and loans. Specifically, you'll assist in all stages of trade allocation, settlement, life cycle activity, reporting, and reconciliations. This position involves daily cross-functional collaboration, both internally across teams and externally with broker-dealers, custodians, and service providers. \n Key Responsibilities \n\n • Supporting full lifecycle of private credit investments, including trade support, event processing, cash and position reconciliations, deal closings and funding coordination\n, • Liaising with agents, servicers, custodians and counterparties across a range of private credit products to monitor and resolve settlement breaks and exceptions\n, • Partnering with research, portfolio management, fund accounting, and technology to identify process improvements and automate workflows\n, • Working closely with internal and external parties to address operational needs and drive them to resolution\n, • Enhancing the operational infrastructure to drive scalability, while also maintaining a focus on governance and controls\n, • Leveraging AI tools to improve productivity, decision-making and output\n\n Knowledge, Skills, and Abilities \n\n • Ability to work effectively in a time-sensitive environment with daily interactions across multiple business units\n, • Demonstrated self-starter who can balance competing priorities, and work both autonomously and as part of a high performing team\n, • Strong analytical and problem-solving skills including taking the initiative to build and enhance controls\n, • Excellent interpersonal, verbal, and written communication skills\n, • Keen attention to detail and proven ability to manage high transaction volumes and complex allocations\n, • Strong financial markets product knowledge and understanding of trade lifecycle\n, • Experience with order management systems and/or market data a plus\n\n Qualifications \n\n • 1-3 years of relevant experience in Trade Management, Investment Operations, or Finance, ideally within a buy-side environment\n, • Strong understanding of bank loans and the trade lifecycle, including primary and secondary closings for direct investments under LSTA/LMA documentation standards\n, • Familiarity with credit agreement terms and how they translate into day-to-day operational processes\n, • Ability to perform detailed data reconciliations across multiple source systems\n, • Prior use of an enterprise LMS, such as Sentry, Allvue, LoanIQ, Wall Street Office or similar\n, • Bachelor’s degree in Finance, Accounting, Economics, or similar field\n, • Proficiency with Blackrock Aladdin preferred\n\n \n Compensation: $120-140K total (base plus bonus)

Machine Learning Engineer 4 - Finance Tech\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Finance Tech is responsible for transforming Capital One's financial engine into the most trusted, nimble, and insightful in the industry. Our core mission is to engineer outcomes that strategically enable the Finance organization and the broader Enterprise to remain efficient. This mission is driven by four technical and functional pillars: Forecasting & Resiliency, providing advanced decision support; Treasury & Trade managing sophisticated cash and investment lifecycles; and Accounting & Reporting, ensuring the integrity of our general ledger and regulatory commitments. Powering these pillars are our Data and Core capabilities, which manage the orchestration, sourcing, and pipelines for critical financial data products. \n \n By defining the next generation of financial technology, we ensure that every business process is backed by high fidelity tracking and reporting. Together, we are not just supporting the bottom line - we are building a strategic enabler that operates as a world class financial engine. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

A career at Whole Foods Market is more than just the work you do- it's about your personal growth and creating meaningful change. Our purpose is to nourish people and the planet. That means improving how people eat, funding grants for school gardens, providing access to fresh and healthy food to people living within food deserts, alleviating poverty in developing countries, and so much more. Working with us means you are making a difference within your community and beyond. We aren't just a grocery store: we're world-changers. And with your help, we will continue to set the standards of excellence and revolutionize the grocery industry. \n\n Provides support as a member of the Customer Service & E-Commerce team to include assisting customers during the check-out process, performing all cash register functions, bagging groceries, and working at the customer service desk. Works to maintain attractive customer service displays and support the Whole Foods Market Customer Service vision. All Whole Foods Market Retail jobs require ensuring a positive company image by providing courteous, friendly, and efficient service to customers and Team Members at all times. All positions must be performed in accordance with team and store Standard Operating Procedures. Customer Service & E-Commerce Team Members must be prepared and able to perform the duties inherent in other Team Member job descriptions, including but not limited to assigned shopper tasks within the Customer Service & E-Commerce Team. All positions must strive to support WFM core values and goals, promote national, company programs and initiatives, and ensure adherence to all applicable health and safety regulations including Food Safety and regulatory duties required in the department. \n \n Job Responsibilities\n \n • Checks out customer groceries efficiently and accurately.\n, • Upholds government regulations concerning sale of alcoholic beverages and taxation.\n, • Follows proper check, ATM, and credit procedures.\n, • Uses proper tares procedures when ringing up scalable items.\n, • Cleans and stocks Front End areas, including own register – changing tapes and ribbon as necessary.\n, • Follows all cash handling procedures – meeting and exceeding regional cashier variance policy.\n, • May assist with training of new Cashier and Cashier Assistant Team Members.\n, • Assists supervisor in controlling customer flow and backed up lines – helping reduce customer waiting time.\n, • Proactively participates in company programs as directed by leadership.\n, • Arrives to workstation on time, appropriately groomed, dressed and ready to work; works all scheduled shifts and attends required trainings and meetings.\n, • Provides excellent customer service, addresses needs of customers in a timely and effective manner and models suggestive selling techniques; answers phones and pages promptly and courteously.\n, • Maximizes sales potential through effective and proper procedures for prepping, storing, rotating, stocking, and merchandising product.\n, • Follows and complies, or ensures compliance, with established procedures, including Weights and Measures, health and sanitation, and safe work practices.\n \n \n \n \n, • Maintains, or ensures maintenance of, a clean and sanitary working and shopping environment; maintains equipment in accordance with WFM cleanliness and safety standards.\n, • Performs opening, mid, and closing duties as assigned; ensures accuracy of signs and pricing.\n, • Immediately reports safety hazards and violations.\n, • Performs other duties as assigned by store or company leadership.\n, • US only – For those hired November 2024 and beyond, cashiers will be assigned shopper training to complete and as needed may be assigned shopper tasks within the Customer Service Team. \n \n Job Skills\n \n • Demonstrates patience in dealing with customers and Team Members.\n, • Maintains proficiency with the Cashier Code Book and PLUs:\n, • Strong basic math skills\n, • Strong to excellent communication skills and willingness to work as part of a team.\n, • Ability to deliver information in a clear and respectable manner to fellow Team Members, customers, and vendors.\n, • Ability to meet customer service expectations and standards in all interactions with customers, vendors, and Team Members.\n, • Ability to follow directions and procedures; effective time management and organization skills.\n, • Passion for natural foods and the mission of Whole Foods Market.\n, • Strong work ethic and ability to work in a fast-paced environment with a sense of urgency.\n, • Understanding of and compliance with WFM quality goals.\n, • Strong attention to detail.\n Experience\n \n, • No prior retail experience required\n Physical Requirements / Working Conditions\n \n, • Must be able to lift 50 pounds.\n, • In an 8-hour work day: standing/walking 6-8 hours.\n, • Hand use: single grasping, fine manipulation, pushing and pulling.\n, • Work requires the following motions: bending, twisting, squatting and reaching.\n, • Exposure to FDA approved cleaning chemicals.\n, • Exposure to temperatures: <32 degrees Fahrenheit (freezing), 32-40 degrees Fahrenheit (refrigerators), >90 degrees Fahrenheit.\n, • Ability to work in a wet and cold environment.\n \n \n \n, • Ability to work a flexible schedule including nights, weekends, and holidays as needed.\n, • Ability to use tools and equipment, including box cutters, electric pallet jacks, and other heavy machinery.\n, • May require use of ladders.\n \n \n Note: The purpose of this document is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. This document does not reflect all job duties or requirements for every position. Requirements build as one progresses through the job levels, so any job duties required at a lower level may be required at the higher level in addition to the duties listed for that higher level. Duties, assignments, and other responsibilities may differ for similar positions based on business conditions, departmental or geographic location, and/or needs for the particular position. An individual must demonstrate successful performance in their current position before being considered for promotion. In addition, in order to promote into a higher-level position, a business need for the promotion must exist and the candidate must be considered the most qualified person for the new position. Completion of certain milestones such as obtaining an advanced degree or certification, time in current position, or developing skills to perform at the higher-level role do not guarantee a promotion. The wage range for this position is $18.75-$25.40 Hourly, commensurate with experience. Whole Foods Market offers "Whole Benefits". Whole Benefits offers a wide range of benefits for Full and Part-Time Team Members, including eligibility for a store discount, paid time off, financial wellness, health & wellness support programs, and access to other Team Member perks. Eligibility for Whole Benefits is determined under the terms of the applicable Whole Benefits plan at a person’s date of hire and may vary based on work location, length of service, and job type (such as regular or seasonal). Click here for benefit details.\n \n \n New entry level Team Members who successfully complete their first 90-days of employment and who remain actively employed in an eligible role, may be eligible for a base rate increase after their 90-day anniversary.\n \n \n At Whole Foods Market, we provide a fair and equal employment opportunity for all Team Members and candidates regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity/expression, age, marital status, disability, or any other legally protected characteristic. Whole Foods Market hires and promotes individuals solely based on qualifications for the position to be filled and business needs.\n \n \n Whole Foods Market works with job sites like Indeed, LinkedIn, and ZipRecruiter to promote opportunities at our company. Please be aware that other career sites may not be accurate or up to date and may even be fraudulent. We encourage and recommend all candidates to apply via our site.\n

The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers. \n \n Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide. Your career with us should reflect your energy and passion. \n \n That’s why, at Apex Group, we will do more than simply ‘empower’ you. We will work to supercharge your unique skills and experience. \n \n Take the lead and we’ll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. \n For our business, for clients, and for you \n \n Client Service Manager, Loan Services \n \n The Role & Key Responsibilities: \n\n • Asset administration: Responsibilities include, but are not limited to performing and coordinating a variety of administrative duties and tasks including\n, • Asset setup\n, • Asset Maintenance and reconciliation\n, • Liaising with 3rd party brokers/custodians/agents\n, • Processing agent notices\n, • Processing corporate actions\n, • Entering and settling trades as required\n, • Preparing and assisting with various reports required by internal teams\n, • Other duties assigned by Management\n, • Cash/Position Reconciliation: Responsibilities include, but are not limited to performing and coordinating a variety of reconciliation duties and tasks including\n, • Preparing daily reconciliation of cash transactions\n, • Preparing daily reconciliation of Apex/Client positions\n, • Ensuring aged breaks ( over 7 days ) are addressed and escalated\n, • Processing and reconciling data in various systems\n, • Actively researching discrepancies with various agents and internal teams\n, • Preparing and ensuring all Reporting is issued within the required timeframes\n, • Preparing and assisting with various reports required by internal teams\n, • Other duties assigned by Management\n, • Support Loan Admin - Middle Office Group:\n, • Lead and participate in weekly client meetings /new onboards and ensure minutes are noted and follow up items are closed out.\n, • Work with the local CRM to ensure monthly operational calls are scheduled and agenda items are monitored and closed out.\n, • Ensure all deal procedures and report checklists are completed.\n, • Ensure KPI reports are monitored and reviewed regularly to ensure they are adapted/updated in line with the business requirements.\n, • Work with the admin team to ensure clients breaks both cash and positions are pushed and assisted where required.\n, • Ensure all monthly deliverables are in line with our SLA and if not record and note clearly the reasons,\n, • Work closely with senior managers to identify and streamline operations where greater efficiencies can be implemented.\n, • Manage the team of analysts and senior analysts supporting in Client service location in Canada\n, • Update and Keeping a track of revenue sheet for clients\n, • Keeping a track deliverables and SLAs\n, • Co-ordinate between various stake holders such as Analytics, Asset admin, Recon and Tableau support team.\n, • Primary contact for escalations.\n\n \n Skills Required: \n\n • Degree in Accounting/Finance, or a relevant qualification\n, • Candidate should have 6+ years’ experience working in loan administration operations\n, • Extensive knowledge of Credit Funds\n, • Understanding or knowledge of various security types – Private Debt, Syndicated Loans, Bonds, Equities, Futures, CDS, CDS Indices, Forwards, ABS, MBS, TRS, etc.\n, • Understanding of trade lifecycle\n, • Knowledge and experience with settlements including DTCC & Euroclear\n, • Knowledge and understanding of securities and other financial instruments Computer proficiency with advanced knowledge of Microsoft Office Suite, familiarity with Solvas (CDO-Suite), Geneva, Aladdin preferred\n\n \n Role-Specific Competencies/Skills: \n\n • Strong communication and analytical skills\n, • Strong organizational skills\n, • Accurate and acute attention to detail\n, • Adaptability - able to change tasks quickly as business needs dictate\n, • Uses discretion when dealing with sensitive and confidential information\n, • Excellent oral and written communication skills and demonstrated ability to adapt communication style to audience\n, • Proven ability to prioritize responsibilities, manage time effectively and meet deadlines accordingly\n, • Self-motivated\n, • Punctuality\n\n \n We pride ourselves in our commitment to fostering a connected and inclusive culture, all our opportunities at Apex have four (4) days in office requirement. \n \n Salary ranges from USD $120,000.00 – USD $135,000.00 plus additional discretionary yearly bonus based on corporate and individual's performance. Compensation within this range is dependent on individual's skills, experience and qualifications. \n \n Disclaimer: Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

AI Engineer 3 (AI Foundations)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics\n, • Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments\n, • Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies\n, • Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets\n, • Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies\n, • At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost)\n, • Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows\n, • Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n R1005255 AI Engineer 3 (AI Foundations) \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $161,800 - $184,600 for AI Engineer 3\n \n New York, NY: $176,500 - $201,400 for AI Engineer 3\n \n San Jose, CA: $176,500 - $201,400 for AI Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Dear Candidates, \n \n Greetings! \n \n We have a contract role with one of our clients. Kindly find the below details. \n \n Job Title: Oracle EBS Finance Functional Consultant \n Location: New York, NY \n Work Mode: Hybrid \n Hiring Type: Contract \n \n Mandatory Skills : Oracle EBS - Finance \n Job description \n Job Summary \n We are looking for an experienced Oracle EBS Finance Functional Consultant. \n 10–15 years of experience in Oracle EBS Finance implementations and support. \n The ideal candidate should have strong functional expertise across General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Fixed Assets, Cash Management, and Bank Integration. \n Key Responsibilities \n\n • Lead end-to-end implementation and support of Oracle EBS Finance modules.\n, • Work with business stakeholders to gather and analyze functional requirements.\n, • Configure and optimize Oracle EBS Finance solutions based on business needs.\n, • Coordinate with technical teams on integrations and data migration.\n, • Troubleshoot complex financial system issues and support system upgrades, patches, and testing.\n, • Prepare functional specifications and process documentation.\n, • Provide end-user training and functional support.\n, • Ensure solutions follow applicable company policies and regulatory requirements\n

Applied Researcher 5 (AI Foundations: Evaluation and Agentic Workflows)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • Behavioral Models\n \n, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)\n, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n, • Worked on scaling graph models to greater than 50m nodes \n, • Experience with large scale deep learning based recommender systems \n, • Experience with production real-time and streaming environments \n, • Contributions to common open source frameworks (pytorch-geometric, DGL) \n, • Proposed new methods for inference or representation learning on graphs or sequences \n, • Worked datasets with 100m+ users\n \n, • Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 5\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Francisco, CA: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The Director of Revenue Cycle Management owns the full revenue cycle for a fast-growing personal emergency response system (PERS) business. Our billing is high-volume and recurring for a monthly service for a large, active member base billed to Medicaid, Managed Care Organizations (MCOs), and other payors. \n This leader sets the strategy and runs the daily operation for claims submission, denial and rejection resolution, cash posting, A/R and reporting. Success requires deep payor and Medicaid/MCO knowledge, strong command of HME/DME software, RCM workflows, and the ability to build a team and a set of controls that keep recurring claims clean at scale. \n \n Responsibilities \n \n Strategy & Leadership \n\n • Develop and execute the revenue cycle strategy for PERS recurring billing, aligned with corporate financial goals and growth plans.\n, • Lead, coach and hold accountable the RCM Team Leads and staff across billing, A/R, denials, cash posting and payor portal administration.\n, • Set clear production standards, quality targets and daily operating rhythms for a high-volume team.\n\n \n Recurring Claims and Operations \n\n • Own accurate, timely, on-schedule submission of recurring monthly claims (electronic, paper and portal-based), including rental and service cycle management in Brightree and Office Ally.\n, • Serve as the business owner of Brightree billing configuration: payor setup, billing rules, claim scrubbing edits, recurring-billing runs, ERA/835 auto-posting, reports and user roles. Partner with IT and Brightree on upgrades, enhancements and issue escalation.\n, • Manage clearinghouse relationships and claim-status tools, and drive automation to reduce manual touches per claim.\n\n \n Authorizations and eligibility \n\n • Oversee the authorization and reauthorization process so that recurring services stay covered without gaps, working with intake, operations and payor partners.\n, • Ensure eligibility verification and member-status changes are caught before they turn into denials or write-offs.\n\n \n Denials, rejections and A/R \n\n • Lead denial and rejection resolution: set strategy, ensure daily follow-up, and drive root-cause remediation back to the source (intake, documentation, authorization, billing setup).\n, • Monitor A/R aging, timely filing exposure, appeals and write-offs; run initiatives to reduce aging and improve cash flow.\n, • Track denial trends by payor, plan and denial code, and bring findings and fixes to payors and internal teams.\n\n \n Cash, reconciliation and reporting \n\n • Partner with the Controller and accounting team to reconcile payments and ensure accurate posting of all insurance, partner-pay, ERA/EOB, EFT and non-automated payments.\n, • Review and approve refund and overpayment requests, and ensure posting, deposits and remittances are complete, accurate and on time.\n, • Build and present the KPI package to leadership: clean claim rate, first-pass acceptance, days in A/R, collection rate, denial rate and cash forecast variance.\n\n \n Payors, compliance and process \n\n • Manage payor portal administration, including user access, credentials and compliance, and maintain payor relationships with Medicaid agencies, MCOs and Medicare Advantage plans.\n, • Ensure compliance with payor contracts, state Medicaid rules, HIPAA and applicable DME billing requirements; support audits and payor reviews.\n, • Drive continuous process improvement across billing, collections, denial management, reporting and automation.\n\n \n Qualifications \n \n\n • 7+ years of revenue cycle experience, including 3+ years leading a billing or collections team in a high-volume environment.\n, • Hands-on experience with Brightree (or a comparable DME/HME billing and rental system) and recurring or rental billing cycles.\n, • Deep knowledge of Medicaid reimbursement, state regulatory requirements, and MCO/SNP contract and billing rules.\n, • Working knowledge of ICD-10 and HCPCS coding and CMS-1500 professional claim submission.\n, • Demonstrated success reducing denials and rejections, shortening A/R days and improving clean claim rates.\n, • Experience with authorization and reauthorization workflows, ERA/835 posting and EFT reconciliation.\n, • Strong team management skills, including performance management, training and workflow oversight.\n, • Advanced Excel skills (VLOOKUP/XLOOKUP, pivot tables, SUMIF, macros) and comfort with BI and reporting tools.\n, • Experience applying automation and AI tools to revenue cycle work (for example claim-status automation, AI-assisted denial analysis, coding or documentation review, and workflow bots), with sound judgment on accuracy, human review and PHI/HIPAA safeguards.\n, • Ability to evaluate AI and automation opportunities, build the business case, pilot them with the team and measure results.\n, • Excellent analytical and problem-solving skills, with clear written and verbal communication.\n\n \n How Success is Measured \n\n • Clean claim rate and first-pass acceptance rate on recurring billing runs\n, • Days in A/R and percentage of A/R over 90 days\n, • Denial rate by payor, and time to resolve denials\n, • Net collection rate and cash versus forecast\n\n \n Compensation \n The anticipated base salary range for this position is $125,000-175,000, depending on experience, skills, and other job-related factors. This position is bonus eligible. \n \n We are committed to a diverse and inclusive workforce, one that reflects the varied communities we serve. The services we offer and the products we build greatly benefit from a range of perspectives, which can only come from diversity of all types at all levels of the organization. Achieving true diversity and inclusion is the right thing to do and is also the smart thing for our business. We strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply. \n We are an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. \n

AI Engineer 4\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations: Recommendation Systems)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 - Manager IC\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One—ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.\n, • 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.\n, • 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).\n, • 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are currently seeking candidates for an Investment Trade Operations Analyst(s) at an investment firm with a location in Jersey City, NJ, 07311. The ideal candidate will have internship experience(s) and/or up to 1 year of experience in the financial services and/or asset management industry(s).\n \n \nThese role(s) are temporary (est. 6+ months) with an opportunity for extension and/or an opportunity to become permanent and will pay between $25.00 and $26.00 per hour within a 40-hour work week.\n \n \nOperations/Back Office support of day-to-day mutual fund investment and trading activity.\n \n \nOn-site three days per week.\n \n \nThese jobs start November 23rd, 2026.\n \n Responsibilities \n\n • Research and resolve trade discrepancies by interacting with brokers and custodian banks\n, • Instruct trades and trade amendments\n, • Prepare wire transfers to fund investment activity\n, • Process and reconcile trade activities\n, • Process cash transactions\n, • Perform daily/monthly asset and cash reconciliations\n, • Settle trades and foreign exchanges\n, • Asset position reconciliation\n, • Research and report variances and incorrect holdings\n, • Daily and monthly client reporting\n, • Analyze monthly portfolio asset reports for client accounts\n, • Monitor cash flows, daily expenses, collateral holdings, and income receivables for client portfolios\n, • Use Bloomberg to research portfolio discrepancies \nQualifications \n\n • Bachelor’s Degree (preferably in Finance)\n, • Internship(s) or similar work experience\n, • Team player with a strong focus on getting the job done within established strict timeframes\n, • Knowledge of MS Office applications and spreadsheet proficiency \nFor immediate consideration, interested and qualified candidates, please forward an updated resume in a Word document to: hgorman@daleyaa.com

\n Optum NY, (formerly Optum Tri-State NY) is seeking a Gastroenterologist to join our team in Middletown, NY. Optum is a clinician-led care organization that is changing the way clinicians work and live. \n At Optum, you'll have the clinical resources, data and support of a global organization behind you so you can help your patients live healthier lives. We believe you deserve an exceptional career, and will empower you to live your best life at work and at home. Experience the fulfillment of advancing the health of your community with the excitement of contributing new practice ideas and initiatives that could help improve care for millions of patients across the country. Because together, we have the power to make health care better for everyone. Join us and discover how rewarding medicine can be whileCaring. Connecting. Growing together. \n Position Highlights: \n\n • Physician-led, patient centered team-based environment\n, • Independent practice with strong affiliation with local tertiary care hospital that provides a full range of gastroenterology medicine\n, • Collegial multispecialty group practice with a large referral base and a focus on provider wellness and team-based care\n, • Surgery Center/ASC centers located conveniently down the street from our offices, and ownership opportunities available with tenure\n, • Full complement of excellent support staff (Advanced Practice Clinician, Medical Assistants and Administrative teams) and dedicated practice management systems in place that enable you to practice at the peak of your licensure and assist within patient care\n, • Supported to grow your practice and patient panel\n\n Primary Responsibilities: \n\n • Consult with patients to understand their health concerns and perform specialized tests to diagnose and treat patients\n, • Perform endoscopic and colonoscopy procedures (i.e., ERCP and endoscopic ultrasound procedure experience highly preferred)\n, • Examines patients in clinic, hospital rounds and performs surgical procedures as needed\n, • Consult with patient's primary care physician and other specialists\n, • Serve as collaborating physician to assigned Advanced Practice Clinician(s)\n\n What makes an Optum organization different? \n\n • Value-Based care model; Evidence-Based medicine\n, • Quadruple Aim: Improving Patient Satisfaction; Lowering Costs; Delivery High-Quality Outcomes; Increasing Provider Satisfaction and Well-Being\n, • Providers are supported to practice at the peak of their license\n, • We recognize that if you want to provide good care and do it well, you can't do it alone - this is the foundation of the team-based care model\n, • A culture of Innovation, Collaboration, Transformation, and Growth\n, • We are influencing change on a national scale while still maintaining the culture and community of our local care organizations; putting people first and working together with "Optum-ism" striving to improve everyday with an open mind and an open heart\n\n Compensation & Benefits Highlights: \n\n • Guaranteed, competitive compensation model based on quality, not quantity, with significant earnings potential, annual increases, and bonus eligibility\n, • Financial stability and support of a Fortune 5 Company - United Health Group\n, • Comprehensive Medical, Dental, Life Insurance, and Vision coverage\n, • Excellent PTO package (increasing with tenure) & Paid maternity/paternity leave\n, • Robust retirement options including employer funded contributions\n, • Employee Stock Purchase Plan (ESPP for UGH stock)\n, • Physician partnership opportunities with Optum\n, • Company paid malpractice insurance and tail coverage\n, • Consistent Career Growth, Professional Development, and Supportive Culture\n, • Supportive and appreciative culture\n\n \n Optum NY/NJ was formed in 2022 by bringing together Riverside Medical Group, CareMount Medical and ProHealth Care. The regional alignment combines resources and services across the care continuum - from preventative medicine to diagnostics to treatment and beyond across New York, New Jersey, and Southern Connecticut. As a Patient Centered Medical Home, Optum NY/NJ can provide patient-focused medical care to the entire family. You will find our team working in local clinics, surgery centers and urgent care centers, within care models focused on managing risk, higher quality outcomes and driving change through collaboration and innovation. Together, we're making health care work better for everyone. \n \n You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. \n\n • Fellowship training in Gastroenterology\n, • Residency training in Internal Medicine\n, • Unrestricted medical licensure in the state of New York (or has New York license application submitted and in-process)\n, • Active and unrestricted DEA License (or ability to obtain prior to start)\n, • Board Certification or Board Eligibility in Gastroenterology\n, • CPR certified (or willing to obtain prior to start)\n, • Active and unrestricted CDS permit (or ability to obtain prior to start)\n, • ERCP and Endoscopic Ultrasound procedure experience\n\n Would you thrive with Optum? \n\n • Do you practice evidence-based medicine?\n, • Are you seeking a practice focused on patient-centered quality care, not volume?\n, • Are you a team player - comfortable delegating and empowering teams?\n, • Are you constantly seeking better ways to do things?\n, • Do you want to be part of something better?\n\n \n \n The salary range for this role is $371,000 to $735,500 annually based on full-time employment. Salary Range is defined as total cash compensation at target. The actual range and pay mix of base and bonus is variable based upon experience and metric achievement Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you'll find a far-reaching choice of benefits and incentives. \n \n OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. \n OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. \n

The Business Analyst is responsible for supporting, enhancing, and optimizing Microsoft Dynamics 365 Finance and Operations across the Cinch / Bel Fuse multi-site, multi-division environment. This role serves as the bridge between business stakeholders and technical teams — both onshore and offshore — translating business requirements into functional solutions across the order-to-cash and procure-to-pay lifecycles. Working as a functional generalist, the Business Analyst will facilitate requirements gathering with business users, coordinate configuration and development with the Dynamics team, support testing and user adoption, and drive accountability across all project phases. \n \n Are You Looking To: \n\n • Serve as the primary liaison between business departments and Microsoft Dynamics 365 Finance and Operations, ensuring system capabilities align with business objectives.\n, • Utilize 2+ years of hands-on experience within the Microsoft Dynamics 365 ecosystem to support, enhance, and optimize ERP operations, ideally within a manufacturing environment.\n, • Configure and personalize Dynamics 365 Finance and Operations, and leverage the Power Platform (Power Apps, Power Automate) where appropriate, to streamline workflows, improve data visualization, and enhance user experience.\n, • Manage reporting tasks within Dynamics 365, including standard and ad-hoc reports, financial reporting (Management Reporter), and Power BI dashboards, to deliver actionable insights to the business.\n, • Oversee Electronic Data Interchange (EDI) processes, with emphasis on managing and troubleshooting transaction sets like 810 (Invoice), 850 (Purchase Order), and 855 (Order Acknowledgment).\n\n \n Are You Ready To: \n\n • Build and maintain form personalizations, workflows, and configurations within Dynamics 365 Finance and Operations, ensuring alignment with business requirements and system standards.\n, • Monitor business systems to assure maximum up-time.\n, • Participate in ERP projects, including new module rollouts, implementations, and platform updates, and ensure thorough testing and user adoption during major upgrades and monthly release cycles.\n, • Collaborate with the offshore India team to manage development projects, coordinate testing efforts, and support system enhancements.\n, • Facilitate user acceptance testing (UAT) with business stakeholders, ensuring new implementations or upgrades meet functional and technical requirements.\n, • Document processes, configurations, and best practices to build knowledge resources for ongoing system support and future enhancements.\n, • Assume other projects and responsibilities from time to time as directed.\n, • Regular and predictable attendance is presumed to be an essential function of all employment.\n, • Establish and maintain a positive working relationship within assigned teams and with all applicable departments, customers, and vendors. Seek mutual agreement on problems involving coordination.\n\n \n What You’ll Need: \n\n • Bachelor's Degree (Business Management, Engineering, Accounting, Computer Science, Manufacturing Systems, etc.), advanced degree desired.\n, • Minimum 2+ years’ experience working within the Microsoft Dynamics 365 ecosystem, with broader business systems or ERP experience preferred.\n, • Prior work experience in a manufacturing environment required.\n, • Must be a US Citizen or Permanent Resident.\n\n \n What You’ll Get: \n\n • Compensation range of $85,000 to $120,000. The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors\n, • Participation in the annual bonus program\n, • 401K and company match\n, • Medical, Dental, Vision\n, • Health Savings Account (HSA)\n, • Flexible Spending Account (FSA)\n, • Company Life Insurance\n, • Short & Long-term disability\n, • Paid Time Off (e.g., Vacation Benefits, Company Holidays, Sick Leave Benefits, Personal Days)\n, • Pet Insurance\n, • Tuition Reimbursement\n\n \n To review a full listing of our benefits, please refer to the 2026 Bel Fuse Benefits Summary and Paid Time Off Benefits, or by visiting the Bel Fuse Careers page. \n \n Work Opportunity \n Bel will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. \n \n Equal Opportunity Employer \n Bel is an Equal Opportunity employer.

\n AMN Healthcare Allied is seeking a travel Physical Therapy Assistant for a travel job in Bronx, New York. Job Description & Requirements\n \n • Specialty: Physical Therapy Assistant\n, • Discipline: Therapy\n, • Duration: 13 weeks\n, • 40 hours per week\n, • Shift: 8 hours, days\n, • Employment Type: Travel\n \n Job Description & Requirements \n Physical Therapist Assistant - Skilled - (PTA) \n StartDate: ASAP Available Shifts: 8 D Pay Rate: $1405.00 - $1448.00 \n Start your next contract as a Travel Physical Therapist Assistant in Bronx, NY with AMN Healthcare. This full-time role offers 40 hours per week in a skilled nursing facility, with a guaranteed 36-hour work week and a 40-mile float radius that includes paid drive time. You will work under the supervision of a licensed physical therapist to support patient rehabilitation and recovery, focusing on therapeutic exercises and progress documentation in a skilled nursing setting. Skilled nursing experience and an active New York license are required, and new graduates are not considered. Bronx, NY blends historic neighborhoods and green spaces with cultural attractions like the Bronx Zoo and New York Botanical Garden, offering plenty to explore during your assignment. AMN Healthcare provides excellent compensation, weekly pay, dedicated recruiters, clinical support, and the AMN Passport app for convenient career management. Apply now to join this Travel Physical Therapist Assistant position in Bronx, NY. \n Required Qualifications \n Physical Therapist Assistant, Skilled \n PTA-NY \n SNF exp \n Active NY License \n ASAP Start Date \n Preferred Qualifications \n SNF exp \n Active NY License \n ASAP Start Date Facility Location \n The northernmost of New York City's five boroughs, The Bronx is one of the city's most storied communities. The Bronx is home to several universities including Fordham and City University of New York. Sports fans will want to pay a visit to Yankee Stadium, which opened its doors in 1923 and is a truly iconic facility. The Bronx has a rich arts history and is widely held as one of the places where hip hop was born. Culture seekers can check out the Hush Hip Hop Tour to see some of the historic sights where the genre blossomed. The Bronx offers a wealth of dining, sports, entertainment and cultural activities and is one of New York City's many intriguing, culturally rich communities. Job Benefits \n Allied travel assignments are typically for 13 weeks and offer generous packages that include: \n \n • Competitive pay rates\n, • Medical, Dental, Vision\n, • 401(k) and Flex Spending\n, • Life Insurance\n, • Accident and Short-term Disability Coverage\n, • Free Continuing Education\n, • Competitive Housing Deal\n, • Refer a friend and earn extra cash!\n \n \n About the Company\n \n At AMN Healthcare, we strive to be recognized as the most trusted, innovative, and influential force in helping healthcare organizations provide quality patient care that continually evolves to make healthcare more human, more effective, and more achievable. \n \n \n Physical therapist assistant, physical therapy assistant, physical therapy, PTA, therapy assistant, allied, allied health, rehabilitation assistant, rehabilitation, skilled physical therapist assistant, skilled PTA, skilled care PTA, skilled\n \n AMN Healthcare Allied Job ID #3606863. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Physical Therapist Assistant - Skilled - (PTA) About AMN Healthcare Allied\n \n AMN Healthcare is a leading force in the healthcare industry, committed to being the most trusted, innovative, and influential partner for healthcare organizations. With a focus on providing quality patient care, AMN Healthcare offers holistic solutions that reduce costs, streamline processes, and improve efficiencies. The company boasts over 30 years of experience and takes pride in staffing leading healthcare facilities with the nation's best travelers. As an industry leader, AMN Healthcare offers a diverse team dedicated to supporting healthcare workers and facilities, ensuring a personalized and supportive experience for both clients and candidates. \n \n Visit https://www.vivian.com/agencies/amn-healthcare-allied/ for more information. \n Benefits\n \n • Company provided housing options\n, • Medical benefits\n, • Dental benefits\n, • Continuing Education\n \n

\n AMN Healthcare Allied is seeking a travel CT Technologist for a travel job in Bronx, New York. Job Description & Requirements\n \n • Specialty: CT Technologist\n, • Discipline: Allied Health Professional\n, • Duration: 13 weeks\n, • 40 hours per week\n, • Shift: 8 hours, days\n, • Employment Type: Travel\n \n Job Description & Requirements \n Computed Tomography Technologist - Positron Emission Tomography - (CT Tech - PET) \n StartDate: ASAP Available Shifts: 8 D Pay Rate: $3135.00 - $3230.00 \n Travel PET CT Tech jobs in Bronx, NY offer an immediate start for a 26-week assignment with weekday 8-hour shifts totaling about 40 hours per week. You will perform PET and CT imaging using GE Optima equipment in a busy diagnostic setting. This role requires a NYS radiologic technologist license and either ARRT (N) or CNMT certification, or alternatively a NYS Nuclear Medicine license and ARRT (CT). Bronx, NY combines urban energy with cultural landmarks, beautiful parks, and waterfront views. Enjoy easy access to New York City attractions, diverse dining options, and vibrant neighborhoods during this extended assignment. AMN Healthcare provides excellent compensation, exclusive discounts and perks, dedicated recruiters and clinical support, and the AMN Passport app for 24/7 career management. Apply now to join this Travel PET CT Tech assignment in Bronx, NY. \n Required Qualifications \n CT Technologist, Positron Emission Tomography \n References: 1 Reference in entire work history Facility Location \n The northernmost of New York City's five boroughs, The Bronx is one of the city's most storied communities. The Bronx is home to several universities including Fordham and City University of New York. Sports fans will want to pay a visit to Yankee Stadium, which opened its doors in 1923 and is a truly iconic facility. The Bronx has a rich arts history and is widely held as one of the places where hip hop was born. Culture seekers can check out the Hush Hip Hop Tour to see some of the historic sights where the genre blossomed. The Bronx offers a wealth of dining, sports, entertainment and cultural activities and is one of New York City's many intriguing, culturally rich communities. Job Benefits \n Allied travel assignments are typically for 13 weeks and offer generous packages that include: \n \n • Competitive pay rates\n, • Medical, Dental, Vision\n, • 401(k) and Flex Spending\n, • Life Insurance\n, • Accident and Short-term Disability Coverage\n, • Free Continuing Education\n, • Competitive Housing Deal\n, • Refer a friend and earn extra cash!\n \n \n About the Company\n \n At AMN Healthcare, we strive to be recognized as the most trusted, innovative, and influential force in helping healthcare organizations provide quality patient care that continually evolves to make healthcare more human, more effective, and more achievable. \n \n \n Computed Tomography Technologist, positron emission tomography, PET, PET/CT, PET-CT, PET Imaging, CT tech, CT technologist, computed tomography tech, CT, radiology, radiologic technologist, radiologic, allied health, healthcare, health care, allied, patie, ct, computed tomography\n \n AMN Healthcare Allied Job ID #3619563. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Computed Tomography Technologist - Positron Emission Tomography - (CT Tech - PET) About AMN Healthcare Allied\n \n AMN Healthcare is a leading force in the healthcare industry, committed to being the most trusted, innovative, and influential partner for healthcare organizations. With a focus on providing quality patient care, AMN Healthcare offers holistic solutions that reduce costs, streamline processes, and improve efficiencies. The company boasts over 30 years of experience and takes pride in staffing leading healthcare facilities with the nation's best travelers. As an industry leader, AMN Healthcare offers a diverse team dedicated to supporting healthcare workers and facilities, ensuring a personalized and supportive experience for both clients and candidates. \n \n Visit https://www.vivian.com/agencies/amn-healthcare-allied/ for more information. \n Benefits\n \n • Company provided housing options\n, • Medical benefits\n, • Dental benefits\n, • Continuing Education\n \n

\n AMN Healthcare Allied is seeking a travel Physical Therapy Assistant for a travel job in Allendale, New Jersey. Job Description & Requirements\n \n • Specialty: Physical Therapy Assistant\n, • Discipline: Therapy\n, • Duration: 13 weeks\n, • 40 hours per week\n, • Shift: 8 hours, days\n, • Employment Type: Travel\n \n Job Description & Requirements \n Physical Therapist Assistant - Skilled - (PTA) \n StartDate: ASAP Available Shifts: 8 D Pay Rate: $1312.00 - $1352.00 \n Travel Physical Therapist Assistant jobs in Allendale, NJ let you support patients in skilled nursing as they recover mobility and function. You will work under the supervision of a physical therapist to implement treatment plans, guide patients through exercises, administer therapies, and document progress. This position requires graduation from an accredited PTA program and an active New Jersey PTA license. Recommended skills include adaptability, strong communication, and attention to detail. Allendale, NJ offers a charming suburban setting with beautiful parks, local dining, and easy access to New York City. Enjoy a welcoming community and convenient travel options in northern New Jersey. AMN Healthcare provides excellent compensation, discounts and perks, dedicated recruiters and clinical support, the AMN Passport mobile app for career management, and high ethical standards. Apply now to join this Travel Physical Therapist Assistant assignment in Allendale, NJ. \n Required Qualifications \n Physical Therapist Assistant, Skilled \n Licenses: PTA(Compact Accepted) \n Certifications: BLS \n SSN Required \n DOB Required \n References: 1 Reference in entire work history \n License and SNF experience are required. \n Preferred Qualifications \n Travel experience is preferred Job Benefits \n Allied travel assignments are typically for 13 weeks and offer generous packages that include: \n \n • Competitive pay rates\n, • Medical, Dental, Vision\n, • 401(k) and Flex Spending\n, • Life Insurance\n, • Accident and Short-term Disability Coverage\n, • Free Continuing Education\n, • Competitive Housing Deal\n, • Refer a friend and earn extra cash!\n \n \n About the Company\n \n At AMN Healthcare, we strive to be recognized as the most trusted, innovative, and influential force in helping healthcare organizations provide quality patient care that continually evolves to make healthcare more human, more effective, and more achievable. \n \n \n Physical therapist assistant, physical therapy assistant, physical therapy, PTA, therapy assistant, allied, allied health, rehabilitation assistant, rehabilitation, skilled physical therapist assistant, skilled PTA, skilled care PTA, skilled\n \n AMN Healthcare Allied Job ID #3592563. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Physical Therapist Assistant - Skilled - (PTA) About AMN Healthcare Allied\n \n AMN Healthcare is a leading force in the healthcare industry, committed to being the most trusted, innovative, and influential partner for healthcare organizations. With a focus on providing quality patient care, AMN Healthcare offers holistic solutions that reduce costs, streamline processes, and improve efficiencies. The company boasts over 30 years of experience and takes pride in staffing leading healthcare facilities with the nation's best travelers. As an industry leader, AMN Healthcare offers a diverse team dedicated to supporting healthcare workers and facilities, ensuring a personalized and supportive experience for both clients and candidates. \n \n Visit https://www.vivian.com/agencies/amn-healthcare-allied/ for more information. \n Benefits\n \n • Company provided housing options\n, • Medical benefits\n, • Dental benefits\n, • Continuing Education\n \n

\n AMN Healthcare Allied is seeking a travel Long Term Acute Care Registered Respiratory Therapist for a travel job in Rochelle Park, New Jersey. Job Description & Requirements\n \n • Specialty: Registered Respiratory Therapist\n, • Discipline: Allied Health Professional\n, • Duration: 13 weeks\n, • 36 hours per week\n, • Shift: 12 hours, nights\n, • Employment Type: Travel\n \n Job Description & Requirements \n Registered Respiratory Therapist - Long-term Acute Care - (RRT - Acute) \n StartDate: ASAP Available Shifts: 12 N Pay Rate: $2018.00 - $2080.00 \n CRT / RRT with ACLS and BLS at start - adult IP exp needed asap REQUIRED SKILLS EPIC LICENSE REQUIRED: Yes Travel Respiratory Therapist jobs in Northeast New Jersey let you care for patients with pulmonary diseases and acute respiratory conditions. You will assess breathing function, manage oxygen delivery devices, and respond to emergencies to provide respiratory support. Northeast New Jersey offers easy access to New York City, diverse neighborhoods, and outdoor recreation. Required qualifications include an associate degree in respiratory therapy and New Jersey state licensure. Recommended skills are ventilator management, strong communication, and experience with adult ICU and intermediate care. With AMN Healthcare, you receive excellent compensation, exclusive discounts, dedicated recruiters, and support from the AMN Passport app, all backed by the high ethical standards of a publicly traded company. Apply now to join this Travel Respiratory Therapist assignment in Northeast New Jersey. \n Required Qualifications \n Certified Respiratory Therapist, Long Term Acute Care \n Experience: 2 years \n Licenses: RT-NJ \n Certifications: CRT-NBRC; BLS-AHA; ACLS-AHA \n OR \n Registered Respiratory Therapist, Long Term Acute Care \n Experience: 2 years \n Licenses: RT-NJ \n Certifications: RRT; BLS-AHA; ACLS-AHA \n SSN Required \n DOB Required \n References: 1 Reference in entire work history Job Benefits \n Allied travel assignments are typically for 13 weeks and offer generous packages that include: \n \n • Competitive pay rates\n, • Medical, Dental, Vision\n, • 401(k) and Flex Spending\n, • Life Insurance\n, • Accident and Short-term Disability Coverage\n, • Free Continuing Education\n, • Competitive Housing Deal\n, • Refer a friend and earn extra cash!\n \n \n About the Company\n \n At AMN Healthcare, we strive to be recognized as the most trusted, innovative, and influential force in helping healthcare organizations provide quality patient care that continually evolves to make healthcare more human, more effective, and more achievable. \n \n \n registered respiratory therapist, respiratory therapist, respiratory, RRT, respiratory care, allied health, allied, healthcare, health care, patient care, long term acute care RRT, long term respiratory therapist,\n \n AMN Healthcare Allied Job ID #3619479. Pay package is based on 12 hour shifts and 36 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Registered Respiratory Therapist - Long-term Acute Care - (RRT - Acute) About AMN Healthcare Allied\n \n AMN Healthcare is a leading force in the healthcare industry, committed to being the most trusted, innovative, and influential partner for healthcare organizations. With a focus on providing quality patient care, AMN Healthcare offers holistic solutions that reduce costs, streamline processes, and improve efficiencies. The company boasts over 30 years of experience and takes pride in staffing leading healthcare facilities with the nation's best travelers. As an industry leader, AMN Healthcare offers a diverse team dedicated to supporting healthcare workers and facilities, ensuring a personalized and supportive experience for both clients and candidates. \n \n Visit https://www.vivian.com/agencies/amn-healthcare-allied/ for more information. \n Benefits\n \n • Company provided housing options\n, • Medical benefits\n, • Dental benefits\n, • Continuing Education\n \n

\n AMN Healthcare Allied is seeking a travel Occupational Therapist for a travel job in Bronx, New York. Job Description & Requirements\n \n • Specialty: Occupational Therapist\n, • Discipline: Therapy\n, • Duration: 13 weeks\n, • 40 hours per week\n, • Shift: 8 hours, days\n, • Employment Type: Travel\n \n Job Description & Requirements \n Occupational Therapist - Skilled - (OT) \n StartDate: ASAP Available Shifts: 8 D Pay Rate: $1933.00 - $1991.00 \n Start your next contract as a Travel Occupational Therapist in Bronx, NY with AMN Healthcare. This assignment offers 40 hours per week in a skilled nursing facility setting, with a guaranteed 36-hour work week and a float radius of 40 miles. You will help patients regain or improve daily living skills, provide therapy for injuries and disabilities, and collaborate with interdisciplinary teams. Required qualifications include skilled nursing facility experience and an active New York license. New grads and assistants are not considered for this role. Bronx, NY offers a vibrant mix of culture and recreation, including the Bronx Zoo, New York Botanical Garden, diverse restaurants, live music venues, and beautiful parks. AMN Healthcare provides excellent compensation, weekly pay, dedicated recruiters, a clinical support team, and the AMN Passport app for 24/7 career management. As a publicly traded company, AMN Healthcare upholds high ethical standards. Apply now to join this Travel Occupational Therapist assignment in Bronx, NY. \n Required Qualifications \n Occupational Therapist, Skilled \n OT-NY SNF exp \n Active NY License \n ASAP Start Date \n Preferred Qualifications \n SNF exp \n Active NY License \n ASAP Start Date Facility Location \n The northernmost of New York City's five boroughs, The Bronx is one of the city's most storied communities. The Bronx is home to several universities including Fordham and City University of New York. Sports fans will want to pay a visit to Yankee Stadium, which opened its doors in 1923 and is a truly iconic facility. The Bronx has a rich arts history and is widely held as one of the places where hip hop was born. Culture seekers can check out the Hush Hip Hop Tour to see some of the historic sights where the genre blossomed. The Bronx offers a wealth of dining, sports, entertainment and cultural activities and is one of New York City's many intriguing, culturally rich communities. Job Benefits \n Allied travel assignments are typically for 13 weeks and offer generous packages that include: \n \n • Competitive pay rates\n, • Medical, Dental, Vision\n, • 401(k) and Flex Spending\n, • Life Insurance\n, • Accident and Short-term Disability Coverage\n, • Free Continuing Education\n, • Competitive Housing Deal\n, • Refer a friend and earn extra cash!\n \n \n About the Company\n \n At AMN Healthcare, we strive to be recognized as the most trusted, innovative, and influential force in helping healthcare organizations provide quality patient care that continually evolves to make healthcare more human, more effective, and more achievable. \n \n \n occupational therapist, occupational therapy, OT, therapist, patient care, healthcare, health care, skilled care, skilled occupational therapist, skilled care occupational therapist, skilled\n \n AMN Healthcare Allied Job ID #3606838. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Occupational Therapist - Skilled - (OT) About AMN Healthcare Allied\n \n AMN Healthcare is a leading force in the healthcare industry, committed to being the most trusted, innovative, and influential partner for healthcare organizations. With a focus on providing quality patient care, AMN Healthcare offers holistic solutions that reduce costs, streamline processes, and improve efficiencies. The company boasts over 30 years of experience and takes pride in staffing leading healthcare facilities with the nation's best travelers. As an industry leader, AMN Healthcare offers a diverse team dedicated to supporting healthcare workers and facilities, ensuring a personalized and supportive experience for both clients and candidates. \n \n Visit https://www.vivian.com/agencies/amn-healthcare-allied/ for more information. \n Benefits\n \n • Company provided housing options\n, • Medical benefits\n, • Dental benefits\n, • Continuing Education\n \n

\n AMN Healthcare Allied is seeking a travel Home Health Physical Therapist for a travel job in East Elmhurst, New York. Job Description & Requirements\n \n • Specialty: Physical Therapist\n, • Discipline: Therapy\n, • Duration: 13 weeks\n, • 40 hours per week\n, • Shift: 8 hours, days\n, • Employment Type: Travel\n \n Job Description & Requirements \n Physical Therapist - Home Health - (PT - HH) \n StartDate: ASAP Available Shifts: 8 D Pay Rate: $2417.00 - $2491.00 \n Travel Physical Therapist Home Health jobs in Queens, NY offer an immediate start for a 13-week assignment with weekday 8-hour shifts totaling about 40 hours per week. You will provide home-based therapy to a geriatric population, completing 5–6 visits per day using Homecare Homebase for documentation. This role requires an active New York license, and home health experience is preferred but not required. Queens, NY blends vibrant city living with diverse neighborhoods, great food, and easy access to Manhattan’s attractions. Enjoy cultural experiences, parks, and community charm throughout your stay. AMN Healthcare provides excellent compensation, exclusive discounts and perks, dedicated recruiters and clinical support, and the AMN Passport app for 24/7 career management. Apply now to join this Travel Physical Therapist Home Health assignment in Queens, NY. \n Required Qualifications \n Physical Therapist, Home Health \n Licenses: PT-NY \n References: 1 Reference in entire work history \n Preferred Qualifications \n Great attitude \n Home Health experience Job Benefits \n Allied travel assignments are typically for 13 weeks and offer generous packages that include: \n \n • Competitive pay rates\n, • Medical, Dental, Vision\n, • 401(k) and Flex Spending\n, • Life Insurance\n, • Accident and Short-term Disability Coverage\n, • Free Continuing Education\n, • Competitive Housing Deal\n, • Refer a friend and earn extra cash!\n \n \n About the Company\n \n At AMN Healthcare, we strive to be recognized as the most trusted, innovative, and influential force in helping healthcare organizations provide quality patient care that continually evolves to make healthcare more human, more effective, and more achievable. \n \n \n physical therapist, physical therapy, PT, physiotherapy, rehabilitation therapist, physician rehab therapist, rehabilitation, rehab, allied health, allied, home health physical therapist, home care physical therapist, home health PT\n \n AMN Healthcare Allied Job ID #3624112. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Physical Therapist - Home Health - (PT - HH) About AMN Healthcare Allied\n \n AMN Healthcare is a leading force in the healthcare industry, committed to being the most trusted, innovative, and influential partner for healthcare organizations. With a focus on providing quality patient care, AMN Healthcare offers holistic solutions that reduce costs, streamline processes, and improve efficiencies. The company boasts over 30 years of experience and takes pride in staffing leading healthcare facilities with the nation's best travelers. As an industry leader, AMN Healthcare offers a diverse team dedicated to supporting healthcare workers and facilities, ensuring a personalized and supportive experience for both clients and candidates. \n \n Visit https://www.vivian.com/agencies/amn-healthcare-allied/ for more information. \n Benefits\n \n • Company provided housing options\n, • Medical benefits\n, • Dental benefits\n, • Continuing Education\n \n

\n AMN Healthcare Allied is seeking a travel RDN - Registered Dietitian Nutritionist for a travel job in Staten Island, New York. Job Description & Requirements\n \n • Specialty: RDN - Registered Dietitian Nutritionist\n, • Discipline: Allied Health Professional\n, • Start Date: 12/14/2026\n, • Duration: 13 weeks\n, • 40 hours per week\n, • Shift: 8 hours, days\n, • Employment Type: Travel\n \n Job Description & Requirements \n Clinical Dietitian - Acute Care - (CDT - Acute) \n StartDate: 12/14/2026 Available Shifts: 8 D Pay Rate: $2246.00 - $2314.00 \n Required Qualifications \n Clinical Dietician, Acute \n Experience: 1 year \n SSN Required \n DOB Required \n References: 1 Reference in entire work history Job Benefits \n Allied travel assignments are typically for 13 weeks and offer generous packages that include: \n \n • Competitive pay rates\n, • Medical, Dental, Vision\n, • 401(k) and Flex Spending\n, • Life Insurance\n, • Accident and Short-term Disability Coverage\n, • Free Continuing Education\n, • Competitive Housing Deal\n, • Refer a friend and earn extra cash!\n \n \n About the Company\n \n At AMN Healthcare, we strive to be recognized as the most trusted, innovative, and influential force in helping healthcare organizations provide quality patient care that continually evolves to make healthcare more human, more effective, and more achievable. \n \n \n Clinical dieticians, dietician, acute, acute care, hospital, nursing care, healthcare, health care, nutrition, nutritional, nutrition programs, medical, weight management, patient care\n \n AMN Healthcare Allied Job ID #3623376. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Clinical Dietitian - Acute Care - (CDT - Acute) About AMN Healthcare Allied\n \n AMN Healthcare is a leading force in the healthcare industry, committed to being the most trusted, innovative, and influential partner for healthcare organizations. With a focus on providing quality patient care, AMN Healthcare offers holistic solutions that reduce costs, streamline processes, and improve efficiencies. The company boasts over 30 years of experience and takes pride in staffing leading healthcare facilities with the nation's best travelers. As an industry leader, AMN Healthcare offers a diverse team dedicated to supporting healthcare workers and facilities, ensuring a personalized and supportive experience for both clients and candidates. \n \n Visit https://www.vivian.com/agencies/amn-healthcare-allied/ for more information. \n Benefits\n \n • Company provided housing options\n, • Medical benefits\n, • Dental benefits\n, • Continuing Education\n \n

\n AMN Healthcare Allied is seeking a travel Long Term Acute Care Respiratory Therapist for a travel job in Rochelle Park, New Jersey. Job Description & Requirements\n \n • Specialty: Respiratory Therapist\n, • Discipline: Allied Health Professional\n, • Duration: 13 weeks\n, • 36 hours per week\n, • Shift: 12 hours, nights\n, • Employment Type: Travel\n \n Job Description & Requirements \n Certified Respiratory Therapist - Long-term Acute Care - (CRT - Acute) \n StartDate: ASAP Available Shifts: 12 N Pay Rate: $2027.00 - $2088.00 \n CRT / RRT with ACLS and BLS at start - adult IP exp needed asap REQUIRED SKILLS EPIC LICENSE REQUIRED: Yes Travel Respiratory Therapist jobs in Northeast New Jersey let you care for patients with pulmonary diseases and acute respiratory conditions. You will assess breathing function, manage oxygen delivery devices, and respond to emergencies to provide respiratory support. Northeast New Jersey offers easy access to New York City, diverse neighborhoods, and outdoor recreation. Required qualifications include an associate degree in respiratory therapy and New Jersey state licensure. Recommended skills are ventilator management, strong communication, and experience with adult ICU and intermediate care. With AMN Healthcare, you receive excellent compensation, exclusive discounts, dedicated recruiters, and support from the AMN Passport app, all backed by the high ethical standards of a publicly traded company. Apply now to join this Travel Respiratory Therapist assignment in Northeast New Jersey. \n Required Qualifications \n Certified Respiratory Therapist, Long Term Acute Care \n Experience: 2 years \n Licenses: RT-NJ \n Certifications: CRT-NBRC; BLS-AHA; ACLS-AHA \n OR \n Registered Respiratory Therapist, Long Term Acute Care \n Experience: 2 years \n Licenses: RT-NJ \n Certifications: RRT; BLS-AHA; ACLS-AHA \n SSN Required \n DOB Required \n References: 1 Reference in entire work history Job Benefits \n Allied travel assignments are typically for 13 weeks and offer generous packages that include: \n \n • Competitive pay rates\n, • Medical, Dental, Vision\n, • 401(k) and Flex Spending\n, • Life Insurance\n, • Accident and Short-term Disability Coverage\n, • Free Continuing Education\n, • Competitive Housing Deal\n, • Refer a friend and earn extra cash!\n \n \n About the Company\n \n At AMN Healthcare, we strive to be recognized as the most trusted, innovative, and influential force in helping healthcare organizations provide quality patient care that continually evolves to make healthcare more human, more effective, and more achievable. \n \n \n certified respiratory therapist, respiratory therapist, CTR, rehabilitation, cardio rehabilitation, pulmonary, cardiopulmonary, allied health, healthcare, health care, allied, respiratory care, acute, acute care, long term, patient care\n \n AMN Healthcare Allied Job ID #3619478. Pay package is based on 12 hour shifts and 36 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Certified Respiratory Therapist - Long-term Acute Care - (CRT - Acute) About AMN Healthcare Allied\n \n AMN Healthcare is a leading force in the healthcare industry, committed to being the most trusted, innovative, and influential partner for healthcare organizations. With a focus on providing quality patient care, AMN Healthcare offers holistic solutions that reduce costs, streamline processes, and improve efficiencies. The company boasts over 30 years of experience and takes pride in staffing leading healthcare facilities with the nation's best travelers. As an industry leader, AMN Healthcare offers a diverse team dedicated to supporting healthcare workers and facilities, ensuring a personalized and supportive experience for both clients and candidates. \n \n Visit https://www.vivian.com/agencies/amn-healthcare-allied/ for more information. \n Benefits\n \n • Company provided housing options\n, • Medical benefits\n, • Dental benefits\n, • Continuing Education\n \n

\n AMN Healthcare Allied is seeking a travel Physical Therapist for a travel job in Yonkers, New York. Job Description & Requirements\n \n • Specialty: Physical Therapist\n, • Discipline: Therapy\n, • Duration: 13 weeks\n, • 40 hours per week\n, • Shift: 7 hours, days\n, • Employment Type: Travel\n \n Job Description & Requirements \n Physical Therapist - Rehabilitation - (PT - Rehab) \n StartDate: ASAP Available Shifts: 7 D Pay Rate: $2131.00 - $2196.00 \n Take your next travel Physical Therapist job in Yonkers, NY and enjoy a vibrant city with easy access to New York City. Yonkers offers a mix of quiet, tree-lined neighborhoods and lively city living. You can explore Untermyer Gardens, the Hudson River Museum, and Tibbetts Brook Park for outdoor activities. The Downtown Waterfront district features dining and nightlife, while Ridge Hill and Cross County Shopping Center provide shopping and entertainment. Yonkers is also close to Manhattan, making cultural excursions and weekend adventures simple. As a Physical Therapist working with children, you will help young clients improve mobility and function through personalized treatment plans. Recommended qualifications include a degree in Physical Therapy and a valid New York State PT license. Experience with pediatric care and strong communication skills are preferred. AMN Healthcare offers excellent compensation, exclusive discounts and perks, dedicated recruiters and clinical support, the AMN Passport app for 24/7 career management, and a commitment to ethical business practices. Apply now to join this travel Physical Therapist job in Yonkers, NY and experience a rewarding career in a dynamic city with plenty to explore. \n Required Qualifications \n Physical Therapist, Rehab Licenses: PT-NY Certifications: BLS References: 1 Reference in entire work history \n Master’s Degree or Doctorate in PT \n • NYS licensure and registration certificate \n * NPI Number \n • CPR Certification \n Must be able to push, pull, move, and/or lift a minimum of fifty (50) pounds. \n • Perform tasks that may involve exposure to the resident’s blood/body fluids. \n • Must be able to assist in the evacuation of residents, if necessary. \n Preferred Qualifications \n • Minimum of 1-2 year’s pediatric PT experience preferred \n • Completion of a pediatric clinical affiliation \n * New grads with Pediatric exp considered Job Benefits \n Allied travel assignments are typically for 13 weeks and offer generous packages that include: \n \n • Competitive pay rates\n, • Medical, Dental, Vision\n, • 401(k) and Flex Spending\n, • Life Insurance\n, • Accident and Short-term Disability Coverage\n, • Free Continuing Education\n, • Competitive Housing Deal\n, • Refer a friend and earn extra cash!\n \n \n About the Company\n \n At AMN Healthcare, we strive to be recognized as the most trusted, innovative, and influential force in helping healthcare organizations provide quality patient care that continually evolves to make healthcare more human, more effective, and more achievable. \n \n \n physical therapist, physical therapy, PT, physiotherapy, rehabilitation therapist, physician rehab therapist, rehabilitation, rehab, allied health, allied, physical therapist rehabilitation, rehabilitation physical therapist\n \n AMN Healthcare Allied Job ID #3568129. Pay package is based on 7 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Physical Therapist - Rehabilitation - (PT - Rehab) About AMN Healthcare Allied\n \n AMN Healthcare is a leading force in the healthcare industry, committed to being the most trusted, innovative, and influential partner for healthcare organizations. With a focus on providing quality patient care, AMN Healthcare offers holistic solutions that reduce costs, streamline processes, and improve efficiencies. The company boasts over 30 years of experience and takes pride in staffing leading healthcare facilities with the nation's best travelers. As an industry leader, AMN Healthcare offers a diverse team dedicated to supporting healthcare workers and facilities, ensuring a personalized and supportive experience for both clients and candidates. \n \n Visit https://www.vivian.com/agencies/amn-healthcare-allied/ for more information. \n Benefits\n \n • Company provided housing options\n, • Medical benefits\n, • Dental benefits\n, • Continuing Education\n \n

Job Description About Bell and Howell Bell and Howell delivers technology-driven Automation Services and Automation Solutions that help businesses optimize performance, reduce downtime, and improve customer experiences. Our Automation Services bring a dedicated team of expert mechatronic service engineers completely covering North America and backed by our Integrated 360™ advanced technology enabling remote repair, diagnostics, automated SmartOps Dispatch™ and 24/7/365 technical assistance for our clients. We provide a comprehensive and certified level of support for thousands of diversified clients. Our Automated Solutions product portfolio consists of next-generation equipment delivering best-in-class performance enhancing workflow efficiency and elevating customer experiences across multiple markets including retail, pharmaceuticals, packaging, mail production, ecommerce and manufacturing – all backed by the best service in the industry. Location: Tristate area from NYC to end of Long Island Pay: 25/hr Saturday and Sunday's Only (first shift) Job Summary: Associate Customer Service Technician serves as primary customer contact on technical and service related problems on a wide range of industrial, robotic and printing equipment. Diagnoses electronic, mechanical, software and system failures, using established procedures provided by our highly rated service training department. This job may include any aspect of field support, including hardware, software, PC's, and wireless networking. Provides technical support to customers on operational or maintenance aspects of system equipment. Determines most cost-effective repair/resolution to minimize customer downtime. Note: This is not an IT role. The position requires hands-on electrical and mechanical troubleshooting with experience using Digital Multi Meter (DMM) and more. Job Responsibilities: • Primary responsibility will be to troubleshoot and repair a variety of industrial products that include, but are not limited to; printing equipment, cash recycling products, mailing and sorting machines, credit card embossing, and processing and any other applicable third-party accessories attached as part of the system., • Schedule and perform regular predictive/preventive maintenance inspections on equipment., • Provide support by managing parts inventory, customer service calls and preventative maintenance schedules., • Foster positive customer relations and a high degree of customer satisfaction by communicating effectively with customers., • Act as a liaison between the customer and other departments/functions of the company., • May need to provide an "on call" level of service up to seven (7) day/week twenty-four (24) hour/day for emergency customer assistance; respond to emergency and non-scheduled calls for service within established response time goals. Supervisory Responsibilities: N/A Competencies (Skills, Knowledge and Abilities): • Requires understanding of computer program functionality and software troubleshooting skills., • Strong interpersonal/customer relation skills., • Ability to effectively resolve conflict internally and externally., • Ability to accomplish the describe duties through appropriate hand, power, and testing tools/equipment., • Ability to reason logically and make sound decisions along with considering alternative and diverse perspectives., • Strong analytical, problem-solving, quantitative, and time management skills., • Ability to communicate effectively both orally and in writing., • Ability to understand, remember and follow verbal and written instructions., • Ability to work as an integral part of a team., • Ability to read and understand written procedures and diagrams for assembly and test., • Ability to develop and implement solutions to assembly problem., • Ability to maintain regular attendance and be punctual. Education and Experience: • High School degree or equivalent., • Degree in electronics, advanced mechanics and/or software training with 1+ year related industry/equipment experience or equivalent combination of education and experience., • Associate degree preferred. Travel: This position requires some travel in the United States and Canada. Physical Requirements: • Ability to use standard and specialized hand, power and diagnostic tools and measuring equipment, such as oscilloscopes, DMM, gauges, etc., • Requires lifting to seventy (70) pounds., • Requires walking and standing; using hands to feel objects; reaching; and requires balance., • Requires stooping, kneeling, crouching and/or crawling., • Ability to work in a loud environment., • Ability to work in small, cramped areas., • Ability to work in elevated environment up to twenty (20) feet., • Work is performed in a controlled office, retail, and manufacturing environment; noise within acceptable safety levels; paper dust prevalent; cleaners and solvents used to clean machines; machines contain moving parts. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The Company is an Equal Opportunity Employer. It is the policy of the Company to administer employment based solely on an individual’s qualifications, ability and performance without regard to race, color, religion, gender identity, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, age, national origin or ancestry, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, marital status, or any other characteristic protected by federal, state or local law.

Job Description About Bell and Howell Bell and Howell delivers technology-driven Automation Services and Automation Solutions that help businesses optimize performance, reduce downtime, and improve customer experiences. Our Automation Services bring a dedicated team of expert mechatronic service engineers completely covering North America and backed by our Integrated 360™ advanced technology enabling remote repair, diagnostics, automated SmartOps Dispatch™ and 24/7/365 technical assistance for our clients. We provide a comprehensive and certified level of support for thousands of diversified clients. Our Automated Solutions product portfolio consists of next-generation equipment delivering best-in-class performance enhancing workflow efficiency and elevating customer experiences across multiple markets including retail, pharmaceuticals, packaging, mail production, ecommerce and manufacturing – all backed by the best service in the industry. Location: NYC/Brooklyn/Queens & Long Island Areas Hourly Range: 23-30/hr. Summary: The Field Customer Service Engineer serves as primary customer contact on technical and service-related problems on a wide range of industrial, robotic and printing equipment. Diagnoses electronic, mechanical, software and system failures, using established procedures provided by our highly rated service training department. This job may include any aspect of field support, including electrical/electronics, hardware, software, PC’s, and networking. Provides technical support to customers on operational or maintenance aspects of system equipment. Determines most cost-effective repair/resolution to minimize customer downtime. Note: This is not an IT role. The position requires hands-on electrical and mechanical troubleshooting with experience using Digital Multi Meter (DMM) and more. Duties and Responsibilities: • Primary responsibility will be to install, troubleshoot and repair a variety of industrial products that include, but are not limited to; printing and packaging equipment, cash recycling products, inserting and sorting machines, credit card attaching and processing systems, robotics and any other applicable third-party accessories attached as part of the system., • Schedule and perform regular predictive/preventive maintenance inspections on equipment., • Provide support by managing parts inventory, customer service calls and preventative maintenance schedules., • Foster positive customer relations and a high degree of customer satisfaction by communicating effectively with customers., • Act as a liaison between the customer and other departments/functions of the company., • May need to provide an “on call” level of service up to seven (7) day/week twenty-four (24) hour/day for emergency customer assistance; respond to emergency and non-scheduled calls for service within established response time goals. Supervisory Responsibilities: N/A Competencies (Skills, Knowledge and Abilities): • Requires understanding of computer program functionality and software troubleshooting skills., • Strong interpersonal/customer relation skills., • Ability to build and maintain strong customer relationships by understanding their operations and instilling confidence with effective proactive communication., • Ability to effectively resolve conflict internally and externally., • Ability to accomplish the describe duties through appropriate hand, power, and testing tools/equipment., • Ability to reason logically and make sound decisions along with considering alternative and diverse perspectives., • Strong analytical, problem-solving, quantitative, and time management skills., • Ability to communicate effectively both orally and in writing., • Ability to understand, remember and follow verbal and written instructions., • Ability to work as an integral part of a team., • Ability to read and understand written procedures and diagrams for assembly and test., • Ability to develop and implement solutions to assembly problem., • Ability to maintain regular attendance and be punctual. Education and Experience: • High School degree or equivalent with 2-year degree or diploma in electronics/advanced mechanics/software training with 1+ years related industry/equipment experience, or equivalent combination of education and experience., • Requires strong electronics and mechanical background, understanding of computer program functionality and software troubleshooting skills, • Associate degree preferred. Travel: This position requires minimal travel in the United States and Canada for training and other requirements. For field only, local travel time could be greater than 50%. Physical Requirements: • Ability to use standard and specialized hand, power and diagnostic tools and measuring equipment, such as oscilloscopes, DMM, gauges, etc., • Requires lifting to waist seventy (70) pounds., • Requires walking and standing; using hands to feel objects; reaching; and requires balance., • Requires bending, stooping, kneeling, crouching and/or crawling for periods of time., • Ability to work in a loud environment., • Ability to work in small, cramped areas., • Ability to work in elevated environment up to twenty (20) feet., • Work is performed in a controlled office, retail, and manufacturing environment; noise within acceptable safety levels; paper dust prevalent; cleaners and solvents used to clean machines; machines contain moving parts. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Bell and Howell is an Equal Opportunity Employer. It is company policy to administer employment based solely on an individual’s qualifications, ability and performance without regard to race, color, religion, gender identity, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, age, national origin or ancestry, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, marital status, or any other characteristic protected by federal, state or local law.

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI SDK: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Who We Are OWL Services is the premier sales, installation, program management and service provider to retail, commercial, fleet, aviation and marine, and emergency power generation companies across the U.S. With 33 offices and distribution centers and more than 1,400 field service professionals, OWL delivers on a service platform that includes construction, compliance and testing, maintenance and repair, modernization and re-imaging, and EV charging solutions to keep businesses and people moving 24 hours a day, 7 days a week, 365 days a year. OWL Services’ companies have received numerous awards over the years for exemplary customer service. Most recently it was the recipient of EVgo’s Deployment Excellence Award in its first-ever class of awardees in the National EV Charging Recognition Program. Come join us! For more information visit OWLServices.com and follow us on LinkedIn. The Roles The position is responsible for servicing and installing various electronic equipment to include security point of sale, as well as EV charging stations. Essential Duties and Responsibilities • Troubleshoots, inspects, replaces/repairs a wide variety of electro-mechanical devices such as cash registers, coin changers, security equipment, alarms, and point of sale equipment., • Manage various EV charger testing requirements such as torque, thermal imagery, insulation (megger) and performance reports., • Locate system performance issues and fix ground faults., • Complete service requests and maintenance repair items in a timely manner and ensures all requests are handled in a professional manner., • Correctly review work orders, manuals, and drawings to properly perform maintenance and service of equipment., • Utilize various testing devices, multiple hand and power tools related to the job., • May be temporarily assigned to other geographical area to provide support with new installations and upgrades., • Other duties as required.Minimum Qualifications, • Mechanical aptitude and troubleshooting skills required., • One+ years’ experience working in an electrical capacity is preferred., • Must be able to work independently and be a strong problem-solver., • Strong attention to safety and willingness to follow all safety protocols., • 24/7 on-call rotation with other techs in your area., • Must be able to travel up to 30-40% overnight., • Experience with various POS systems (Verifone/NCR) a plus., • Experience with Alarms a plus., • High school diploma or equivalent., • Good driving record is required., • Ability to travel and possessing air travel documents, i.e., REAL ID, Passport, etc., • Ability to use a computer and smartphone proficiently.Physical Demands and Work Environment The physical demands include moderate with some strenuous physical exertion including the ability to walk, climb, stand, carry materials, stoop, kneel, bend at waist. Must be able to climb a ladder and lift/carry up to 70 lbs. Work will be performed both outdoors and indoors. Compensation and Benefits • 10 Paid Holidays, • Flexible Time Off, • 401(k) Company Match, • Health, Dental, and Vision Insurance, • HSA and FSA, • Disability & Occupational Accident Insurance, • Company-Paid Life Insurance Policy, • Employee Assistance Program (EAP), • World-class paid training program for you to learn the skills for long term career success

ANV is a global specialty insurance platform operating across the United States, United Kingdom, and Europe. Backed by AmTrust Financial Services and Blackstone Credit & Insurance, we bring together a portfolio of established MGAs and specialist underwriting businesses delivering innovative insurance solutions across multiple markets. \n \n As a rapidly growing platform, ANV combines the strength of established insurance businesses with the opportunity and energy of a scaling organization. We are committed to underwriting excellence, entrepreneurial thinking, and empowering our people to make a meaningful impact as we continue to build the next generation of specialty insurance businesses. \n \n The Company seeks a commercially astute real estate executive to lead its global real estate and workplace services. Reporting to the CFO, the VP, Global Head of Real Estate will align the portfolio with business priorities, execute commercially competitive transactions, deliver exceptional office environments, and establish a consistently high standard of workplace and client service. \n \n This is a hands-on leadership role spanning portfolio strategy, transactions, design and construction, lease administration, facilities, hospitality, physical security, and health and safety. The successful candidate will combine financial discipline and sophisticated deal-making with strong design judgment and the discretion, responsiveness, and attention to detail expected in a demanding financial services environment. \n \n Key Responsibilities \n Business Partnership and Portfolio Strategy \n\n • Serve as the principal real estate advisor to the CFO and executive leadership, translating business strategy, workforce plans, and growth opportunities into actionable location and occupancy decisions.\n, • Develop a global portfolio strategy that balances cost, flexibility, talent access, operational resilience, and the quality of the employee and client experience.\n, • Present clear recommendations and business cases for investment, consolidation, expansion, and relocation, including real estate implications of M&A activity.\n\n Transactions and Commercial Negotiation \n\n • Lead site selection and negotiations for leases, renewals, expansions, relocations, and exits, directing brokers and partnering with Legal on documentation and risk.\n, • Evaluate total occupancy cost, cash flow, capital requirements, landlord incentives, and alternative deal structures; negotiate favorable economics and terms that preserve business flexibility.\n, • Own landlord and broker relationships and oversee lease administration, critical dates, obligations, and occupancy cost reviews across jurisdictions.\n\n Design and Construction \n\n • Lead projects from feasibility and programming through design, procurement, construction, commissioning, and occupancy, with accountability for budget, schedule, quality, and business continuity.\n, • Set elevated standards for architecture, interiors, furniture, lighting, acoustics, meeting technology, and client-facing environments; translate executive expectations into coherent, practical designs.\n, • Select and direct architects, engineers, project managers, contractors, and specialist vendors. Challenge estimates, procurement strategies, and change orders while protecting design intent and long-term value.\n\n \n Workplace Operations and Client Service \n\n • Oversee facilities, reception, meeting and event support, food and beverage, mail and shipping, and other workplace services through internal resources and external partners.\n, • Deliver high-touch service for executives, employees, and visiting clients, with particular attention to discretion, anticipation of needs, presentation, and prompt resolution of issues.\n, • Establish service standards, preventive maintenance programs, vendor performance measures, and escalation procedures that provide consistent quality across a geographically dispersed portfolio.\n, • Partner with IT on reliable audiovisual and workplace technology, and oversee physical security, access control, and health and safety in coordination with relevant internal specialists and local advisors.\n\n \n Financial Stewardship and Functional Leadership \n\n • Own global real estate operating and capital budgets, forecasts, and reporting. Explain variances, identify savings, and make disciplined trade-offs between cost, quality, and service.\n, • Build an effective operating model with clear accountability, appropriate staffing, strong vendor governance, and practical procurement and approval controls.\n, • Lead the real estate transition from the former parent, including TSA exit planning, knowledge transfer, systems and data readiness, and continuity of services.\n, • Lead and develop employees and service partners; establish meaningful measures of portfolio efficiency, project delivery, service quality, and stakeholder satisfaction.\n\n \n Qualifications \n\n • 12 or more years of progressive corporate real estate and workplace experience, including senior responsibility for a multinational portfolio and direct engagement with executive leadership.\n, • Demonstrated commercial acumen and a strong record of personally leading complex negotiations, evaluating transaction economics, and presenting persuasive investment recommendations to finance leaders.\n, • Substantial experience delivering premium corporate interiors and technically complex office projects, with the ability to assess design quality, scrutinize construction costs, and hold delivery teams accountable.\n, • Experience in hedge funds, asset management, private equity, financial services, or similarly demanding professional environments is strongly preferred. A proven high-touch service orientation is essential.\n, • Broad operational capability across facilities, hospitality, lease administration, vendor management, security, and workplace services, including experience working across countries and cultures.\n, • Executive presence, sound judgment, discretion, and strong communication skills, coupled with a willingness to engage directly in negotiations, project details, and operational issues.\n, • Bachelor’s degree in real estate, business, finance, architecture, construction management, or a related discipline, or equivalent relevant experience.\n, • Ability to travel internationally as business needs require.\n\n

Sr. Manager, 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 enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts\n, • Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems\n, • Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \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 This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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 1 year of people leadership experience\n\n \n Preferred Qualifications: \n\n • 3+ years of experience managing and leading an engineering team\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 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 leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery\n, • Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance\n, • Track record mentoring engineers/scientists to productize prototypes and meet production SLOs\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 Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Associate Architect | Real Estate Investment Firm | Hybrid – Strong Benefits \n \n We’re working with a leading real estate investment and development firm seeking an Associate Architect to join its development team. This is a hands-on opportunity for an architect with strong design sensibility and technical experience to work on high-profile commercial and high-end residential projects in New York. The Associate Architect will partner closely with the Development team, coordinating outside design professionals and consultants while helping guide projects from early design development through completion. The role will have meaningful involvement in design direction, construction documentation, project coordination, and field execution. \n \n Key Responsibilities: \n\n • Manage high-profile projects through construction\n, • Lead coordination with outside architects and engineers\n, • Manage consultants, vendors, and project teams throughout design and construction\n, • Review design presentations and provide client feedback\n, • Assist with scopes of work, RFPs, schedules, and project planning\n, • Monitor project scope, schedules, budgets, and work plans\n, • Support construction administration and field execution\n, • Work closely with the Head of Development on creative direction and project strategy\n, • Assist with organizational initiatives, including meeting follow-ups and action-item tracking\n\n \n Qualifications & Experience \n\n • 4+ years of professional architecture experience following completion of an undergraduate or graduate degree\n, • Experience supporting commercial, luxury residential, or other high-end development projects\n, • Strong understanding of design development, space planning, and architectural documentation\n, • Comfortable coordinating multiple project stakeholders, including consultants, outside design teams, and vendors\n, • Hands-on knowledge of construction documentation and project administration through the construction phase\n, • Highly organized with strong communication, problem-solving, and project management abilities\n, • Advanced proficiency with AutoCAD, Bluebeam, Microsoft Office, and 3D design/modeling platforms\n, • Experience with Adobe Creative Suite and Revit is a plus\n, • Bachelor’s or Master’s degree in Architecture required\n\n \n Compensation: $120k-$150k plus benefits, 401k and other perks! \n \n The above salary range represents Advice's good faith and reasonable estimate of the possible base compensation range at the time of posting and is not reflective of the total compensation package, which may also include benefits, equity and other non-cash incentives. \n \n Please send your resume for immediate consideration to: ageorge@adviceny.com \n \n If this particular role isn’t the right fit, please feel free to send your resume to the email above so we can keep you in mind for other opportunities. And if you know someone in your network who may be interested, please feel free to share the posting with them. Referrals are always appreciated. \n \n Advice Personnel *Celebrating 40 years as New York’s trusted boutique executive recruiting & staffing firm

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).

Position Overview: A successful Seasonal Retail Store Associate will strive to go for WOW! Go for WOW! is the standard of customer service at Duluth Trading Company. It is treating the customer right and looking for opportunities to go above and beyond to create special experiences. Position Details: What You’ll Do: • Develop an exceptional familiarity with the Duluth brand and comprehensive product knowledge to provide solution-oriented, friendly service to customers. Understand the customer is the center of what we do., • Understand how to layer personalized service into each area of interaction from greeting to fitting room to register., • Effectively communicate sales and promotions., • Understand the importance of email capture as part of sales and service and executes to standard., • Respond proactively and be empowered to provide positive resolutions to customer concerns., • Answer telephone in a courteous and friendly manner including, but not limited to, giving store greetings, directions to store location, and receiving and filling customer orders., • Assist in receiving, processing and replenishing merchandise., • Maintain merchandising, presentation and display standards. Ensure the sales floor is customer ready., • Ensure company standards for cleanliness for the sales floor, stockroom, restrooms, cash wrap and hospitality area., • Accurately and efficiently process all register transactions., • Adhere to all company policies, procedures and practices., • Perform any other duties as directed by management. What We’re Looking For: • High school diploma or equivalent., • Retail experience is preferred but not necessary., • Customer Centric., • Takes pride in a job well done and shows ownership in the store., • Operates with integrity and trust., • Excellent communicator and listener., • Collaborates and functions as part of a team., • Performs other duties as directed., • Authorized to work in the United States without sponsorship. Environmental Factors: • Must be able to stand or walk for up to eight hours a day., • Frequent reaching and bending and twisting – below waist and above shoulders., • Frequently required to use repetitive hand-to-finger motions and reach with hands and arms., • Frequently lifting up to twenty pounds, occasionally lifting up to 40 pounds. Push/pull up to 20 lbs., • Ability to climb ladders, reach and bend., • Work in temperatures ranging from 50 - 85 degrees – especially in our stock room areas., • Use of a computer up to 60 % of the time throughout the day. Position Benefits and Perks Our pursuit of a better way isn't just about our products—it's about our people too. That's why our Dam Good Crew enjoys a comprehensive benefits package, designed to support their well-being and success. Daily pay available 40% Employee Discount Eligible to participate in the 401(k) Plan Flexible Scheduling Position Compensation Outline Compensation: $16.00 to $16.50/hour Compensation listed is for this specific location and is based on several factors, including location, experience, and qualifications. Benefits and perks may have eligibility requirements and are subject to change. The responsibilities outlined in this position description are a guideline for the general duties of the position and are not exhaustive of all duties inherent in the job. Duluth Trading Company is an Equal Opportunity Employer. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions. About Duluth Trading Company: Started in 1989, Duluth Trading Company exists to enable hard-working individuals to take on life with their own two hands. Folks that revel in doing it the hard way and celebrate finding a better way. We seek talented individuals who share these beliefs and are excited to further the Duluth Trading legacy with a digital-first mindset, always moving forward and always innovating. From ingenious Duluth workwear, to comfortably capable Buck Naked Underwear, to outside-embracing AKHG, it’s all about the innovative gear and gadgets that equip customers for a more hands-on way of life. Top-notch quality, immersive storytelling, outstanding customer service, and the shared belief that the go-all-in-and-dig-deep spirit exists with everyone are what sets Duluth Trading Co. apart. We seek talented folks looking to be part of a can-do team that’s hellbent on helping the world to gear up, get its hands dirty, and do.

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 \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).

Controller | $150K–$175K + B \n Mount Vernon, NY | On-Site \n \n Atrium is seeking a Controller for a growing, technology-enabled mechanical and building-services company in Mount Vernon, NY. \n \n This isn't a "keep the books moving" Controller position. \n Reporting directly to the CFO, you'll take ownership of the accounting operation of a growing business while helping determine what the finance function should look like next. That includes financial reporting, close, project accounting and WIP, cash, controls, systems, process improvement and people leadership. \n \n The company is also actively investing time in AI and workflow automation, so we're looking for someone who is comfortable challenging old processes, learning new technology and thinking about how accounting can operate better as the business grows. \n \n Compensation: $150,000–$175,000 + B \n Schedule: Full-time, on-site \n Location: Mount Vernon, NY \n \n A background check may be run only after a conditional offer is made, where permitted by law. \n What You'll Do \n\n • Own the monthly and annual close and financial reporting process.\n, • Prepare and review P&L, balance sheet and cash flow statements and variance analysis.\n, • Oversee cash, reconciliations and support treasury forecasting.\n, • Provide oversight of payroll and related accounting.\n, • Lead billing, AR and collections.\n, • Own job costing, WIP, project financials and revenue recognition.\n, • Partner with operations on cost-to-complete, project margins and financial performance.\n, • Support tax filings, audits and regulatory requirements.\n, • Own and improve accounting processes across Sage Intacct, BuildOps and Coast.\n, • Manage and develop the accounting team.\n, • Work directly with the CFO on process improvement, automation and the continued evolution of the finance organization.\n\n \n What We're Looking For \n\n • Bachelor's degree in Accounting or Finance.\n, • Active CPA certification required.\n, • 7+ years of progressive accounting experience.\n, • Full-cycle close and financial statement preparation experience.\n, • Controller, Assistant Controller or Accounting Manager experience.\n, • Proven people-management experience.\n, • Strong US GAAP and internal-controls knowledge.\n, • Advanced Excel and mid-market ERP experience.\n, • Must be legally authorized to work in the United States.\n\n \n Great to Have \n\n • Construction, MEP or specialty-contractor accounting.\n, • Job costing, WIP, percentage-of-completion and retainage experience.\n, • AIA-style billing.\n, • Sage Intacct and/or BuildOps.\n, • Experience improving processes, implementing systems or introducing automation.\n\n \n Coming from another industry? Don't automatically count yourself out. Strong technical accountants who have worked in complex operating environments and can demonstrate curiosity, leadership and the ability to learn quickly are encouraged to apply. \n \n Why Join? \n Work directly with the CFO. You'll have real access to leadership and visibility into how the business operates. \n Build something. The accounting function is evolving, and you'll have an opportunity to influence the team, processes, systems and controls. \n Get hands-on with AI and automation. Leadership is actively exploring how emerging technology can improve finance workflows, giving you the chance to learn and build alongside them. \n Broaden your experience. You'll touch financial reporting, operations, WIP, project accounting, cash, systems, controls and people rather than one small area of accounting. \n Grow with the business. This is an environment where responsibility can expand significantly as the company and individual develop. \n \n Benefits \n If eligible under the ACA, medical, dental and vision benefits and time off in accordance with local paid sick time laws will be offered. Additional benefits may include paid holidays, a 401(k)-retirement plan, life insurance, disability coverage, and an employee assistance program, where applicable. Other compensation programs may include overtime, shift differentials, bonuses, commissions, or other incentive compensation, where applicable. \n \n Commitment to Diversity \n As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. \n We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please contact us to request an accommodation. \n \n EOE/M/F/D/V/SO \n Applicant Communication Consent \n By applying to this job, you agree to receive calls, AI-generated calls, text messages, and/or emails from Atrium and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to opt out on any message you receive. \n For more details, please review our Terms of Use and Privacy Policy. \n \n Job Wrapping ID: #LI-AJ3

Job Description Accounts Receivable Specialist Industry: Produce / Food Distribution Position Type: Full-Time Department: Accounting / Finance Reports To: Accounting Manager / Controller Position Summary We are seeking a detail-oriented and organized Accounts Receivable Specialist to join our accounting team. The ideal candidate will be responsible for managing customer accounts, processing invoices, following up on outstanding balances, reconciling accounts, and assisting with collections. The successful candidate will be comfortable working in a fast-paced environment, handling a high volume of transactions, and communicating professionally with customers and internal departments. Experience in the produce, food distribution, agriculture, or wholesale industry is a plus, but is not required. Key Responsibilities • Process and issue customer invoices accurately and in a timely manner., • Monitor customer accounts and follow up on past-due balances., • Perform daily and monthly account reconciliations., • Post and apply customer payments to the appropriate accounts., • Research and resolve billing discrepancies, short payments, credits, and deductions., • Communicate with customers regarding invoices, payments, account balances, and discrepancies., • Work closely with Sales, Operations, Shipping, and Accounting to resolve customer account issues., • Maintain accurate and organized customer account records., • Prepare aging reports and assist with collection activities., • Investigate and resolve unapplied cash and payment discrepancies., • Process credit memos, adjustments, and account corrections as needed., • Assist with month-end closing and AR reporting., • Maintain confidentiality of financial and customer information., • Perform other accounting and administrative duties as assigned. Qualifications • 2+ years of Accounts Receivable, billing, collections, or related accounting experience preferred., • Strong attention to detail and accuracy., • Excellent organizational and time-management skills., • Strong communication and customer-service skills., • Ability to research discrepancies and resolve issues independently., • Proficiency with Microsoft Excel and Microsoft Office., • Experience with accounting or ERP software preferred., • Ability to work effectively in a fast-paced, deadline-driven environment., • Ability to handle multiple priorities while maintaining accuracy. Preferred Experience • Experience working in the produce, food distribution, agriculture, wholesale, or related industry is a plus., • Familiarity with produce/food distribution billing, customer deductions, credits, freight charges, or short-payments is highly desirable., • Experience working with high-volu