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We are currently sourcing for a Vice President, Trading Engineer for Crypto Trading to work in Jersey City, NJ The Role Vice President Trading Engineer will be working in development and delivery of high quality, timely and maintainable software solutions in an agile environment which meet functional and non-functional business requirements. This role will involve partner & stakeholder engagement, design and release support. * Designing and implementing technology solutions for the Fidelity Digital Asset business * High Performance algorithms for trading / crypto trading * Working closely with our business partners to contribute to business-critical initiatives * Demonstrate software engineering excellence through continuous integration, continuous deployment, * Keeps current with IT blueprint, frameworks and technologies that would benefit us and improve our productivity; guides junior team members on technology * Collaborate with multiple stakeholders/large cross functional teams as part of work delivery * Follows practices and contribute towards innovative solutions to increase productivity * This is a hands-on role where you will write code for product features * Set technical direction for software developers by concluding design with other tech leads and architecture. The Expertise and Skills You Bring * Bachelor's degree in computer science or related field required * At least 12 years of software engineering experience * Strong background in designing and developing low latency trading systems. * Experience in building SOR, Algo engine, or exchange-connectivity for Equities or Crypto. * Experience using kernel bypass e.g., Solarflare OpenOnLoad. * Extensive experience with modern Java using zero GC pattern. * Highly proficient in ultra-low latency design patterns and optimizing trading systems. * Hands on experience with low latency messaging products, such as Aeron, Solace or 29West. * Knowledge of FIX protocols * Proficient in SQL and a working knowledge of relational and time series databases * Experience with designing APIs, distributed systems, asynchronous workers and resilient messaging services * An understanding of cloud-based deployments using Kubernetes and AWS * Ability to build reliable software that can withstand unreliable environments * Can provide leadership and mentorship across small, agile teams in a very collaborative environment where your ideas are welcome * Solid analytical, communication, and organizational skills * An interest in and experience with cryptocurrencies and a passion for keeping up to date in the space. * Have the drive and ability to deliver software with a high degree of automation * Proficient with version control systems and can handle development for multiple releases in parallel * Have the spirit and willingness to contribute to org level innovation * Have a learning mindset and is able to demonstrate versatility in addition to your specialization * Should have the ability to work effectively with both partners and project team members * Have Knowledge of Agile methodologies or iterative development processes * Have Knowledge of Acceptance test-driven development a plus. * Have Ability to take ownership * Coach team members and take accountability for the deliverables * Excellent collaboration and Interpersonal skills * Great attitude, being a mentor, team player and effective contributor * You have Focus on productivity * Experience in Capital markets or Crypto Currency specifically with exposure to Trading, Algo Trading. The Team Fidelity Digital Assets®, a Fidelity Investments Company, is developing a full-service enterprise-grade platform for storing, trading and servicing digital assets, such as Bitcoin and Ethereum. Fidelity Digital Assets® adopts an entrepreneurial culture and startup approach while serving as one of the most innovative business units within Fidelity Investments. Our global, diverse team of hundreds of forward-thinking professionals lead with agility and creativity to build solutions that bridge the gap between traditional institutional investors and their exposure to digital assets. The firm’s tenure and experience across multiple business lines present our employees with unprecedented access to knowledge, technology, and resources that help our team reshape the future of finance. As a Software Engineer you will be an integral part of the Trading team. You’ll get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. This is a hands-on role where you will write code for product features. It is a great opportunity to build secure, scalable, resilient cloud-based services utilizing modern software development practices. You will get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. The Fidelity Digital Asset® Trading Team is responsible for platform services and APIs that manage trading of crypto currency. Platform contains a crossing engine and a smart router that would connect and send client orders to other exchanges and liquidity providers. In addition to aggregating market data and routing orders the platform also includes multiple internal/external facing user interfaces and API and services to support the platform. The base salary range for this position is $140,000-285,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position. Information Technology

The Role We are seeking a visionary executive leader to architect, build, and scale the operating platform that will power the future of digital asset investments and on-chain finance — spanning tokenized funds and financial assets, digital asset portfolios, on-chain investments and financial activities, and blockchain-native financial products. This role will lead the design and implementation and ongoing operation of the end-to-end infrastructure for the digital assets fund and portfolio investment services ecosystem, including accounting and valuation, portfolio and fund administration, and transfer agency, integrating blockchain infrastructure with institutional-grade controls, data architecture, and governance across both on-chain and off-chain environments. The successful candidate will combine deep operational expertise in traditional investment accounting and fund and portfolio administration and transfer agency with hands-on experience building blockchain and on-chain financial infrastructure. This candidate will also have a proven ability to lead organizations through complex, multi-stakeholder change. Key Responsibilities Strategic Platform Architecture * Define and execute the multi-year strategic roadmap for the digital asset operating platform — integrating fund administration and transfer agent, and portfolio-accounting functions with blockchain-based systems. * Architect the core infrastructure stack for digital asset investments, tokenized funds and financial assets — including modules for on-chain accounting, valuation, NAV calculation, fund administration, and transfer-agency services. * Design core ledger, data, and oracle frameworks that reconcile off-chain financial records with on-chain smart-contract and blockchain data. * Establish the technical and operational foundations for on-chain accounting, NAV calculation, investor servicing, and settlement. Organizational Design & Leadership * Build and lead multidisciplinary teams across operations, product, technology, accounting, data management, risk, and compliance to deliver the platform vision. * Design and implement organizational and governance structures and operating charters appropriate for digital asset and on-chain financial environments. * Recruit and mentor talent across finance, blockchain, and operations disciplines, fostering a culture of innovation, control, and accountability. * Implement decision-making frameworks and escalation paths that enable agility while maintaining strong institutional governance. Governance and Controls, Technology, Infrastructure & Integration * Lead design and implementation of on-chain fund-accounting and investor-record systems, integrated with enterprise data and record-keeping standards, fund-administration and transfer agent platforms. * Oversee development of accounting and back office administration infrastructure supporting digital asset trading, custody, staking, and yield activities. * Define policies for smart-contract deployment, private-key management, cyber resilience, and operational continuity. * Ensure audit readiness and regulatory compliance aligned with applicable regulatory agencies and authorities, including SEC, CFTC and equivalent global standards. * Establish data-governance, reporting, and control frameworks to ensure transparency, accuracy, and traceability across funds and portfolios. * Champion tokenization frameworks for different asset classes and product structures, including money-market funds, private credit, private equity, ETFs, and structured finance, and interoperability across blockchains. Cross-Functional Leadership & Stakeholder Management * Operate effectively within a large, matrixed organization, aligning functions across technology, operations, investment management, finance, risk, and compliance. * Navigate consensus-oriented cultures, build credibility, and drive alignment among multiple senior stakeholders and governance bodies. * Communicate with clarity across executive committees, board forums, and regulatory stakeholders to secure buy-in for digital-asset platform and product initiatives. * Serve as the internal bridge between traditional and blockchain-native teams, ensuring integrated business design and operational discipline. Industry & Ecosystem Engagement * Represent the firm in industry and regulatory working groups, shaping standards for tokenized fund and digital asset operations. * Establish strategic partnerships with custodians, administrators, oracle providers, and blockchain infrastructure firms. * Provide thought leadership on the future of on-chain fund services, digital-asset governance, and tokenized capital markets. Qualifications Professional Experience * 15+ years of progressive leadership experience in asset management, fund administration, or financial-operations roles, including at least 5 years in digital-asset, cryptocurrency, or blockchain-based finance. * Proven record of designing and implementing large-scale operating platforms supporting both traditional and digital assets. * Direct experience building and scaling teams and organizations, including defining structure, roles, processes, and performance governance. * Demonstrated success working across large, matrixed organizations with multiple senior stakeholders in a consensus-driven culture, achieving alignment and results. * Deep expertise in fund accounting, valuation, investor servicing, and transfer agency for traditional investment products. * Proven track record building infrastructure for cryptocurrency investment operations, including wallet management, custody, settlement, and on-chain reconciliation. Technical & Strategic Competencies * Strong understanding of blockchain architecture, smart-contract design, tokenization standards, and interoperability protocols. * Familiarity with DeFi primitives (staking, liquidity pools, lending protocols) and their integration into institutional frameworks. * Expertise in designing data architecture, reconciliation, and control frameworks. * Proven ability to translate strategic vision into executable programs through structured governance, roadmap execution, and stakeholder management. Leadership Attributes * Visionary yet pragmatic leader who combines strategic insight with operational execution. * Exceptional communicator capable of aligning diverse senior stakeholders around a common mission. * Deep curiosity about how blockchain transforms investment operations and a disciplined approach to risk and compliance. * Strong sense of ownership and commitment to building institutional infrastructure for the next generation of finance. The base salary range for this position is $185,000-$400,000 per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position. Investment Operations

Manager, Data Scientist - Emerging Payments & Airkey Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Emerging Payments organization develops and maintains innovative payment experiences for Capital One customers, including digital wallets, virtual card numbers, merchant checkout experiences, transaction intelligence, and new commercialization opportunities. Our data science team builds machine learning models that help our customers securely facilitate, control, and understand their spend. These models power customer-facing features and experiences that reach tens of millions of customers. We cleanse, enrich, and use large scale card and debit data from Capital One and, more recently, Discover, as well as national metadata datasets around merchants, places, and more. Leveraging the latest approaches and tools, we primarily work with models such as XGBoost, transformers, embeddings, and LLMs, using SQL, Python (and some Scala), tensorflow and pytorch, with Databricks, Snowflake, and other internal platforms and tools. On any given day you’ll be: * Creating machine learning models from development through testing and validation to our 30+ million customers in production * Designing rich data visualizations to communicate complex ideas to customers or company leaders * Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product that customers love * Leverage a broad stack of technologies - SQL, Python, Conda, AWS, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: * Customer first. 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. * 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. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data science. Bonus points for experience with transformers * At least 4 years of experience in Python, Scala for large scale data analysis * At least 4 years of experience with machine learning * At least 4 years of experience with SQL * At least 1 year of experience working with AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Data Science - AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics * At least 2 years of experience leveraging open source programming languages for large scale data analysis * At least 2 years of experience working with machine learning * At least 2 years of experience utilizing relational databases Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 5 years’ experience in Python, Scala, or R * At least 5 years’ experience with machine learning * At least 5 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr Mgr, Data Science New York, NY: $245,900 - $280,600 for Sr Mgr, Data Science San Jose, CA: $245,900 - $280,600 for Sr Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Experience with machine learning and related engineering skill sets - Full stack proficiency (e. As a Lead Software Development Engineer, it’s up to you to define, design and refine the tech that keeps us one step ahead of listeners. As a Lead Software Development Engineer, you will.

Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 3 years’ experience in Python, Scala, or R * At least 3 years’ experience with machine learning * At least 3 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Job Description Salary: $60,000 to $70,000 per year + $12k bonus potential Factory Direct Enterprises LLC (FDE) proudly represents Ashley, the #1 selling furniture brand in the world and the leading retailer of furniture and bedding in the United States. We are committed to "Amazing" our Team Members by supporting their journey toward becoming their best selves through competitive pay, benefits, a strong culture, and growth opportunities. Join a team honored by Furniture Today as one of the Best Places to Work in Furniture for 2025. Who We Are • #1 Selling Furniture Brand in the World, • #1 Retailer of Furniture and Bedding in the United States Our Culture & Team Member Programs At FDE, we pride ourselves on a culture of recognition and growth. We invest in our team and value feedback through programs like Employee Surveys. Our Ashley Cares programs highlight our commitment to our team, guests, and communities: • Hope to Dream: For every mattress sold, a portion of proceeds is used to purchase and donate beds to children in need (ages 3–16), • Give a Day: Paid volunteer day annually with an approved organization, • Corporate Chaplains: Support for grief care, hospital visits, marriage/parenting, aging parents, and stress management, • Life Resources: Quarterly events supporting finances, relationships, health, and wellness, • Team Member Relief Fund: Financial assistance for unexpected life events, • SmartDollar: FREE financial wellness program for budgeting, debt reduction, and saving Position Overview The VM is responsible for executing and achieving all corporate visual merchandising strategies and business goals. The VM is accountable for fostering and maintaining an inclusive and collaborative work environment that drives business results, promotes amazing guest experiences, and maintains a highly engaged team of store employees. The VM may have multiple store responsibilities and effectively manages all day-to-day functions of stores including the guest experience, visual merchandising, operational excellence, and employee engagement. Essential FunctionsMerchandising/Visual * Implement and execute all corporate visual merchandising directives and ensure the execution of effective merchandising strategies. * Lead store merchandising assortment walkthroughs by analyzing sales data to visual merchandising and following up with actionable steps to drive store assortment optimization. * Ensure proper signage is being utilized to market in-store products effectively. * Follow operating visual standard procedures inclusive of signage, presentation of all displays, fixtures, and all furniture collections. * Responsible for the maintenance of all areas in the showroom and warehouse ensuring organization and cleanliness. * Create unique, personalized, memorable, and repeatable experiences by coordinating store facilities maintenance upgrades, and repairs. * You are always on stage (Engage, Educate, Enthusiasm, Ear to ear smile, Eye contact) Organize and conduct store meetings with clear actionable and effective communication and professional presence demonstrating in-depth Product Knowledge of the merchandise. Handle all guest interactions via telephone, email, chat or in person professionally. Operations * Keep a high level of peer-to-peer accountability while managing, driving, and auditing stores to obtain 100% compliance with all visual processes as well as Operations, Guest Experience, Finance, Delivery, and Payroll. * Eliminate waste by improving processes, leading and conducting biannual store inventories in collaboration with the Store Operations Team. * Create unique, personalized, memorable, and repeatable experiences by coordinating store facilities maintenance upgrades, and repairs. * Eliminate waste by improving processes, managing, and conducting store inventories in collaboration with the Store Operations Team. * Over-communicate the "Why" behind everything and Build and maintain effective communication with members of the corporate office, property management, and other store teams. * You are always on stage (Engage, Educate, Enthusiasm, Ear to ear smile, Eye contact) organize and conduct store and corporate meetings with clear actionable and effective communication and professional presence. * Exhibit proficiency in computer programs used by the Company including: Word, Excel Sales Generation * Follow store operating procedures to support the sales team to drive overall sales. * Place a high priority on the needs of our team members by coaching them to best self to deliver an exceptional guest experience utilizing the leadership toolkit to transfer product knowledge. * Be relentless about amazing our guests and passionate about our communities by collaborating with Regionals and Marketing team to maximize all special events such as Holidays, VIP and Grand Openings Customer Service * Follow our standard operating procedures by utilizing work instructions and ensuring that all team members are properly and consistently providing an amazing guest experience. * Be radical about our team members to make guest experience decisions that also support the mission statement & core values of the company by resolving all pending situations quickly and effectively in collaboration with direct stakeholders. * Create unique, personalized, memorable, and repeatable experiences by coordinating store facilities maintenance upgrades, and repairs. Human Capital * Always encourage team members on their best self-journey by Maintaining a focus on continuous learning and development by actively onboarding and training team members in alignment with our core values and the way we play. * Execute and deliver performance appraisals for direct reports to identify opportunities and strengths to place qualified individuals as new openings become available ultimately. * Address conflict quickly, directly, and privately with the intent of building a stronger relationship by leading courageous coaching for successful meetings with store team members in alignment with our core values and mission statement. * Make work enjoyable by coordinating and driving team member benefit programs, engagement events, recognition, and celebrations for store team members. * Participate in manager and cross-training programs to elevate leadership performance and advance on self-best journey. The VM may occasionally perform non-exempt duties, such as unloading trailers or merchandising as needed for proper store operation. The VM will also perform other duties as assigned from time to time; have the ability to lift, lower, push or pull furniture up to and in excess of 100lbs and to stand for long periods of time. Schedule Expectations * The VM is scheduled to work a minimum of 40 hours per week; the number of hours worked will increase during specific Market events, holidays, blackout periods, vacation coverage, or for other business needs. * Regular attendance at home stores and coverage at adjacent regional stores, and support for projects at all stores for business needs are essential functions of this position. * 25-50% travel within the geographic region. Education & Experience Requirements * BA or BS degree in retail management, visual merchandising, graphic design, interior design, marketing or related field required; Equivalent experience may be considered in lieu of education. * Minimum of five years' experience in retail visual merchandising or design required; furniture retail experience preferred. * Three to five years of supervisory experience required. #ANE3

Job DescriptionSalary: About Financial Edge Do you have a passion for finance? Do you enjoy explaining financial concepts and helping individuals? Then read on. Financial Edge specializes in developing the technical skills of finance professionals through a combination of classroom training and eLearning products. Chosen by the worlds top investment banks to deliver their new hire training from interns to associates, last summer alone we taught over 9,000 participants across 4 continents. We are a small, friendly and ambitious team, bringing multi-format content design for unparalleled participant engagement in and out of the classroom. We focus on equipping participants with hands-on practical skills. All of our training, be it live or e-delivered, is centered around case studies and client-specific solutions. The integration of technology into every program helps to create individualized learning paths, taking participants experience and desk needs into account. Job Description Teaching Assistants provide support to the Instructor and participants on entry level programs from interns to associates. All our case studies and workouts have worked solutions. Teaching Assistants work with us through consultancy agreements and are most engaged during our busy season from June through the end of August.Teaching Assistant commitments last one to three weeks at a time and successful applicants will need to be available full-time during these commitments. Main Responsibilities • Support a lead training instructor in a class of 50 150 new hires, • Assist students work through helping with case studies, individual questions and with homework, • Identify and coach struggling students, • Invigilate and debrief exams, • Collate qualitative feedback on participants, • Provide support and feedback to the Account Management Team, • Run small group sessions to solve problems of understanding, • Host evening review sessions independently Essentials • Financial services sector experience (banking, consulting or accounting), • Proficient in financial modeling and valuation methodologies as well as Excel, • Strong analytical skills, • A passion for finance, • Good communication and organization skills essential Daily rate is commensurate with experience

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (FM Hosting, LLM Inference) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (MLX) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description At Aaron School, we serve K–12 students with learning differences in a safe, supportive environment designed to maximize potential. Guided by the values of self-advocacy, respect, and individualized education, we help students gain the confidence to thrive. Join our team and inspire success. As a Special Education Teacher at Aaron School, you will play a key role in shaping a supportive, engaging, and individualized learning experience for students with diverse needs. You will help students build confidence, develop essential skills, and reach meaningful milestones in a collaborative, mission-driven environment. What You'll Need * Master's degree in special education or a related field from an accredited institution * Active New York State Special Education teaching certification * Experience developing and managing individualized learning goals and objectives * Strong communication skills for engaging students, families, and staff * Collaborative mindset with a passion for supporting students with diverse learning needs What You'll Do * Design and deliver engaging lessons aligned to curriculum goals and student needs * Develop and track individualized goals, adjusting instruction based on student progress * Collaborate with faculty and leadership to differentiate and implement curriculum effectively * Implement classroom management strategies and behavior support plans * Partner with families through regular communication to support student success Why You’ll Love Working Here * Enjoy both paid time off and extra paid school breaks (for select roles), plus paid holidays * Wellness perks including gym discounts, mindfulness apps, and prescription savings * Tuition reimbursement, career development programs, and leadership training * 401(k) retirement savings with a 4% company match and immediate vesting * Health, dental, and vision insurance * Free Employee Assistance Program with confidential counseling, life coaching, and mental health resources * Life insurance, disability coverage, and Health Savings Account (HSA) contributions at no cost to you Aaron School is an equal opportunity employer, committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy status, national origin, age, disability, genetic information, or status as a protected veteran, or any other characteristic protected by law. If you require reasonable accommodations during the application or interview process, please contact us at .

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

Senior Lead AI Engineer (Gen AI Platform Services) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. The AI Foundations – AI Software Engineering team builds scalable, state-of-the-art AI architectures designed to transform the software development lifecycle at Capital One. Our goal is to empower internal engineers by developing multi-agent solutions that streamline design, code generation, system migration, and troubleshooting to operate software more effectively at scale.To achieve this, we leverage a cutting-edge stack including LangGraph, MCP, Knowledge Graphs, agent-to-agent protocols, and advanced model customization. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Agentic AI Research * PhD focused on multi-agent systems, autonomous agents, planning, or reinforcement learning * Hands-on experience developing and deploying multi-agent architectures (e.g., using frameworks like LangGraph or specialized agent protocols) * Experience with techniques like tool-use integration, memory management for agents, or verifiable agent behavior * Knowledge Graph Research * PhD focused on knowledge representation and reasoning, graph neural networks (GNNs), or large-scale data integration * Publications in relevant venues (e.g., ISWC, WWW, KDD, Neurips, ICML) on knowledge graph construction, embedding, querying, or reasoning * Experience in designing, implementing, and deploying industrial-scale Knowledge Graph solutions * Demonstrated expertise with graph databases (e.g., Neo4j, JanusGraph) and graph embedding techniques * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Position: Woodshop Program Specialist Location: Tiger Clubhouse - 565 Morris Avenue, Bronx, NY 10451 Pay Rate: $30-$40/hour Employment Type: Part-Time, Non-Exempt Schedule: 20-25 hours per week Reports To: Associate Clubhouse Director About Us Founded in 1876, The Boys’ Club of New York (BCNY) is a youth development organization with the mission to empower boys and young men, ages 7 to 21, by providing effective programs and a supportive community. BCNY provides evidence-based programs to address the evolving social, emotional, health, creative, educational, and vocational needs of our members in meaningful, lasting ways. BCNY develops programs to cultivate positive qualities in members and strives to continually deepen and broaden our impact. Job Summary Tiger Clubhouse is seeking a skilled and engaging Woodshop Specialist to lead and grow our in-house woodshop program. This role focuses on delivering structured, hands-on learning experiences that introduce members to woodworking fundamentals while encouraging creativity, independence, and craftsmanship. As the primary facilitator of the woodshop, the specialist- will guide members through progressively challenging projects, helping them build technical skills and confidence over time. The role emphasizes safety, consistency, and meaningful engagement within a dedicated indoor workspace. Responsibilities Woodshop Programming & Skill Development • Design and lead engaging, age-appropriate woodworking sessions for members ages 7-18., • Teach foundational skills such as measuring, marking, cutting, assembling, sanding, and finishing through clear demonstrations and guided practice., • Develop project-based learning experiences (e.g., shelves, stools, decorative items, signage, beginner joinery projects) that build skills over time., • Support members in completing projects from concept to completion, encouraging focus, patience, and pride in their work., • Adapt instruction to meet a range of skill levels, from beginners to more advanced participants., • Encourage creativity while reinforcing the importance of planning, accuracy, and craftsmanship. Safety, Supervision & Area Management • Maintain a strong culture of safety by consistently enforcing tool usage guidelines and workshop rules., • Provide close supervision of all tool use, including hand tools and approved power tools, with age-appropriate instruction., • Conduct routine checks to ensure tools, materials, and workspace are clean, organized, and safe., • Model proper tool handling, setup, cleanup, and storage practices., • Prioritize members' understanding and following safety expectations before participating in activities. Youth Engagement & Supervision • Create a welcoming, structured environment that promotes respect, responsibility, and collaboration., • Build positive relationships with members and encourage consistent participation., • Manage group dynamics within the woodshop, addressing minor behavioral issues proactively., • Communicate ongoing or more serious concerns to leadership as needed., • Track member participation, skill development, and overall engagement in the program. Qualifications • Experience working with youth in educational, recreational, or after-school settings preferred., • Background in woodworking, carpentry, construction, or related hands-on disciplines is strongly preferred., • Ability to safely instruct and supervise youth using tools in a structured indoor environment., • Strong organizational and lesson-planning skills., • Clear and effective communicator with a patient, supportive, and restorative teaching style., • Commitment to creating a safe, inclusive, and skill-building environment for young people. Additional Requirements • Ability to lift and carry up to 40-50 pounds., • Reliable, punctual, and adaptable to program needs., • Willingness to contribute to the broader Clubhouse community as needed., • Perform other duties as assigned. The Boys’ Club of New York is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law. If you have a disability or other protected need requiring an accommodation, please contact Human Resources. PI012de75e4b8f-25405-40362542

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Family: Strategy & Transformation Consulting Travel Required: Up to 25% Clearance Required: None Is life sciences in your DNA? Breakthroughs in pharma are helping people live healthier lives, while medical devices enable patients to proactively maintain health – this is undoubtedly a transformative time for health care companies. Guidehouse’s Life Sciences practice is an engine of innovation, helping pharmaceutical, biotech, medical device, and diagnostic companies develop custom solutions that tackle today’s challenges, while anticipating tomorrows. You will have an immediate impact by partnering with our clients, across all levels, to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions. Do you think you are up for the challenge? We continuously strive to foster an inclusive and diverse work culture and thoughtfully develop our people through challenging work, valuable learning and educational programs. We cultivate a culture of mentorship and feedback for professional and personal growth. We help our clients take control of their future. This mission extends to our employee's careers, health and well-being and by the many ways we give back to our communities. If you’re passionately motivated to make a difference and deliver exceptional work, we invite you to learn more about your career opportunities at What You Will Do: The Global Market Access team focuses on value, access, pricing and commercialization strategy projects for pharmaceutical, biotechnology, medical device, and diagnostics companies. Our client services range from pre-commercialization product opportunity assessments to determining and developing launch pricing and access strategies across major and emerging global markets. Responsibilities: You will be responsible for developing and implementing pricing, value, and access strategies for pharmaceutical, biotech, and medical device clients. This will involve working with senior staff to build project proposals, managing consulting teams across multiple large-scale, complex projects to develop and communicate client deliverables, and maintaining client relationships. Key Expectations: * Lead teams to design, execute, and deliver projects across key value and access topics such as pricing and reimbursement studies (inclusive of qualitative & quantitative methodologies), early access opportunity assessments, value communication strategy, and payer engagement strategy * Exhibit clear and deep understanding of how to connect payer value perception and expectations to product evidence needs * Demonstrates ability to conduct gap assessment, comparative analyses and competitive intelligence to inform price and access strategies * Possess strong market research skills, inclusive of primary research qualitative interview as well as quantitative survey experiences and familiarity with various pricing methodologies (i.e., analogue assessment, Van Westerndorps, Gabor Granger, Conjoint, etc) * Demonstrated extensive working experience and understanding of global (e.g., EU, APAC, LATAM) P&MA dynamics, including: * Country HTA Assessment Frameworks * Payer Product Value Assessment Drivers * Payer Pricing and Reimbursement (P&R) Archetypes & Processes * Market Access Pathways and Funding / Reimbursement Requirements * National and regional reimbursement mechanisms * Evidence requirements by market or region * Leverage work experience, business acumen, and subject matter expertise on global market access topics to determine key approach and develop strategic recommendations that efficiently and effectively address client business questions * Proactively manages own and team members’ time effectively and efficiently across multiple complex projects with multi-country, global scopes * Effectively liaise with senior staff to ensure strategically sound and actionable insights are developed as outputs to answer key client business questions on value, access, and pricing * Serves as primary point of contact and engages executive level audience to deliver actionable insights and recommendations * Builds and manages ongoing relationships as client thought partners as well as elevate new business opportunities to senior staff through identification of follow-on projects or new opportunities to further support client needs * Supports the development of new analytical methodologies, capabilities, and intellectual property for use on future client engagements * Develops thought leadership (written or podium) and provides subject matter expertise to clients * Trains and mentors junior team members to enable team development and professional growth What You Will Need: * Requires a Bachelor’s degree. A major course of study in science, biomedical engineering, or healthcare policy and planning. * 4+ years of transferrable consulting or work experience, with demonstrated experience in value, access, pricing and commercialization strategy projects for large global pharma, mid-sized pharma and/or biotech clients. * Strong understanding of the pharmaceutical industry, including drug development and launch. * The ability to analyze complex information, identify key issues, and develop effective strategies. * Excellent communication skills to convey strategic recommendations to various stakeholders, including senior management. * 2-3 + years of direct experience in client management and content delivery roles. * Experience developing designing and executing value, pricing, and access strategy projects for pharmaceutical, biotech and medical device companies * Experience in leadership roles and people development/performance management. * Must demonstrate strong verbal and written communication skills (in English). * Proficiency in Microsoft Office Excel, Word, PowerPoint, and Outlook. * Willingness and ability to travel for client work as needed in the 25% range. What Would Be Nice To Have: * Graduate level degree in business or other health-related fields (e.g., MBA, MPH, MS, PhD). * Extensive experience as project managers, strong team players, take initiative, and think strategically and creatively. * Keen attention to detail. * Superior written and verbal communication skills. #LI-JK1 The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description📌 About Alpaca Health Alpaca Health enables clinicians to be entrepreneurs, starting in autism care. We help clinicians launch and scale their own clinics by providing AI-powered software, payer contracting, and full back-office infrastructure. Our goal is simple: shift power in healthcare away from large consolidated entities and back to clinicians. We are growing quickly and expanding into new states this year. The problems we are solving are operationally complex, high-stakes, and deeply meaningful for families. We've raised over $14M in funding from early-stage investors like Core Innovation Capital, Adverb Ventures, and South Park Commons, and are building for long-term category leadership. More importantly, we're serving hundreds of patients, while growing 30% MoM. 🎯 Role: Strategy and Ops Lead We are hiring a Strategy and Ops Lead to figure out insurance. You'll turn messy, fragmented insurance feedback into clear processes and scalable systems. Bridge ops and product to use technology to standardize workflows, reduce ambiguity, and drive reliable execution. This role is perfect for people who are fascinated by the details -- who think strange edge cases are interesting, not (just) annoying. What You’ll Do Own prior authorization operations Manage day-to-day prior authorization workflows across providers and payers. Partner with providers to resolve issues and ensure timely submissions and approvals. Improve the prior authorization system Track and synthesize provider feedback to identify failure points in the process. Translate insights into product and workflow improvements that increase approval rates and speed. Standardize payer requirements Build and maintain a system of record for payer-specific documentation requirements. Continuously refine documentation standards to reduce denials and rework. Manage reassessments and authorization timelines Track authorization periods and reassessment deadlines across patients. Ensure proactive renewals to prevent gaps in care and revenue disruption. Research complex payer pathways Investigate and operationalize single case agreements and out-of-network billing strategies. Develop playbooks for edge cases and non-standard payer scenarios. Own eligibility operations and escalations Manage eligibility check workflows and resolve escalations quickly. Improve accuracy and turnaround time of benefits verification. Build patient responsibility workflows Develop tools and processes to clearly determine patient financial responsibility. Design and implement systems for collecting copays, coinsurance, and balances. Streamline payer communications Own fax and payer mailbox operations, including intake, triage, and response workflows. Identify and implement automation opportunities to increase speed and reliability. Drive continuous operational improvement Identify bottlenecks across insurance operations and design scalable solutions. Work closely with Product and Engineering to embed these improvements into the platform. 🧠 Who You Are * You are extremely ambitious and want to build something meaningful at high velocity. * You are comfortable working harder and moving faster than most people. * You thrive in environments with little structure and high accountability. * You are a systems thinker who instinctively turns chaos into repeatable processes. * You can manage a large volume of parallel priorities without dropping details. * You communicate with clarity and judgment, internally and externally. * You bring strong analytical horsepower and can move between strategy and execution seamlessly. * You have experience in consulting, investing, startup operations, healthcare strategy, or similarly demanding roles. This role is best suited for someone who wants to become a founder or senior operator and is willing to earn that opportunity through real responsibility. NYC-based candidates (or candidates open to relocation). We work 5 days a week in person. 🚀 Why Join * Direct exposure to company-building at an early stage. * Real ownership of critical initiatives from day one. * The opportunity to materially impact families and clinicians. * A fast learning curve that few roles can match. Compensation 💵 Competitive salary 📈 Meaningful equity 🏥 Health benefits 🏖️ Flexible PTO 🍱 Dinner when working late Compensation Range: $80K - $140K

Job DescriptionDescription: Position Summary: The Quality Control Inspector prepares inspection plans and instructions, selects sampling plan applications, analyzes and solves problems, and prepares procedures. Ensures that parts manufactured in-process, and parts at final inspection are inspected accurately, in a timely manner, and documented properly. Also to ensure that our customers receive quality parts to their specifications and requirements. Executes inspection plans at various stages of the process. Requirements: Essential Functions: To accomplish this job successfully, an individual must be able to perform satisfactorily, with or without reasonable accommodation each stated essential function. Reasonable accommodations may be made to help enable qualified individuals with disabilities to perform the essential functions. Duties and Responsibilities • Performs company quality control, technical and customer satisfaction activities., • Implements and follows inspection programs and instructions related to manufacturing objectives., • Responsible for the inspection approval and rejection process of new and existing parts, including receiving inspection, 1st article, process inspection and final inspection operations., • Operates all gages, software, vision systems and related SPC methodologies., • Ability to design and develop inspection methodologies., • Leads and teams with manufacturing and engineering for efficient transfer of data to assist in troubleshooting activities., • Conducts root cause analysis and corrective action activities using techniques including statistical analysis., • Documents and enforces Standard Operating Procedures (SOPs) within the ISO system. Non-essential Responsibilities: • Performs other duties as directed. Position Qualifications and Competency Statements: • Communication – Ability to effectively communicate with others verbally and in writing., • Time Management – Ability to utilize the available time to organize, prioritize and complete work within given deadlines., • Technical Aptitude – Ability to comprehend complex technical and specialized information., • Applied Learning – Ability to participate in needed learning activities in a way that makes the most of the learning experience., • Accountability – Ability to accept responsibility and account for his/her actions., • Analytical Aptitude – Ability to collect and analyze information, problem-solve, and make recommendation for decisions., • Initiative – Ability to stay motivated, ambitious, and curious without the help of others., • Performs under Stress – Ability to critically prioritize work and ensure timely completion of various unrelated projects. Skills and Abilities: • High school diploma or equivalent experience., • Experience with precision measuring equipment such as calipers, micrometers, pin gages, optical comparators, and visual measuring systems., • Experience with engineering drawing and knowledge about GD&T., • Experience with precision metal, stamping or machining is preferred. Work Environment: This position works in an office environment, in proximity to shop work environment. The employee must be cognizant of hazards, including but not limited to variety of physical conditions, such as proximity to moving mechanical parts, moving vehicles, electrical current, and exposure to high heat or exposure to chemicals.

Job Description Bachelor's or Master's degree in Special Education, active Special Education Teacher license and minimum 1+ years Special Education Teacher experience required. Applicants who do not meet these qualifications will not be considered. Step into a dynamic contract opportunity supporting high school students as a Special Education Teacher. Use your subject-matter expertise and inclusive teaching philosophy to make a meaningful impact in classrooms near Newark, NJ. You’ll collaborate with faculty to adapt curriculum, foster student growth, and champion differentiated instruction for learners of all backgrounds. This role is ideal for professionals who thrive in diverse educational settings and are committed to student success. Qualifications/Desired Experience: • Valid certification in Teacher of Students with Disabilities (TOSD) or Teacher of the Handicapped (TOH), • New Jersey state certification in high school math, science, or social studies (or extensive experience in these subjects), • Solid experience working with high school populations in an inclusion, resource, or self-contained classroom, • Familiarity with IEPs and development of individualized learning strategies, • Strong communication and collaboration skills, • Design and implement individualized learning plans based on students’ needs and state core curriculum standards, • Collaborate with general education teachers to modify lessons and support inclusion, • Provide direct instruction in small groups and one-on-one settings for high school math, science, or social studies, • Track student progress and contribute to IEP meetings and documentation, • Foster a supportive, respectful classroom environment that encourages academic and social development Apply today to make a difference and help shape the future for high school students near Newark, NJ! Compensation for this position ranges from $25.97 to $47.97. Eligible candidates may also receive healthcare benefits, housing, and meals/incidentals. Full details of our healthcare benefits plan can be found here. This posting is open for 60 days after the posting date. #p31

Centra Healthcare Allied is seeking a School Services School Special Education Teacher for a travel job in The Bronx, New York. Job Description & Requirements • Specialty: Special Education Teacher, • Discipline: School Services, • Start Date: ASAP, • Duration: 15 weeks, • 40 hours per week, • Shift: 8 hours, days, • Employment Type: Travel Centra Healthcare Solutions is seeking an experienced Special Education Teacher (SPED) that is certified in the state of practice to work in a school setting. This is a contract, full time position. Duties and Responsibilities Include: • Collaborates and provides instruction for small groups and individuals., • Collaborates with necessary personnel to identify and support students who are considered “at-risk.”, • Collaborates with classroom teachers to design and execute individualized education plans for students with special needs., • Utilizes developmentally appropriate and rigorous curricula and instructional materials that are tightly aligned to benchmarks and the Common Core State standards., • Presents students with new ideas and concepts through a variety of strategies, and inspires and guides them to explore, express, and uncover new ideas of their own., • Modifies existing instructional plans as necessary to accommodate individual student’s special needs., • Administers collects and analyzes both qualitative and quantitative data gathered from a variety of assessments., • Builds relationships with his or her students’ families through regular communication about at-risk/ IEP students’ progress and provides ways in which families can support their children’s learning., • Participates in school-wide student assessments in order to diagnose students’ needs., • Provides resources and supports for classroom teachers to implement intervention strategies., • Refers students when necessary for special services., • Participates in meetings to develop and review Individual Education Plans and suggest appropriate supports., • Keeps organized records of student progress and provides up-to-date reports., • Knowledgeable about Special Education law and advocates for students. Requirements include: • New York State Special Education Teacher Certification required., • At least 2 years of teaching experience required., • Bachelor’s Degree required., • Master's Degree preferred., • Candidates who do not meet the above requirements will not be considered About Centra: Centra Healthcares criteria. Benefits of a Local Contract or Travel Assignment through Centra: • Mileage reimbursement to assignment (if applicable), • Highly competitive pay package, • 401(k) plan with matching, • Direct deposit and weekly pay, • CEU reimbursement, • Medical credentials reimbursement, • A chance to explore new places and new opportunities throughout the United States, • The opportunity to make sure that the career you choose is a good fit before committing to a permanent scenario, • High coverage of the premiums of a comprehensive health insurance plan, • Licensure reimbursement, • Housing accommodations or Lodging per diems (if you qualify for reimbursements), • Flexibility of work schedule, including guaranteed hours (if applicable), • Assignment completion bonuses (if applicable) Please apply online for this fantastic opportunity. We look forward to assisting you in finding an optimal position. Centra Healthcare Allied Job ID #896838. Pay package is based on 8.0 hour shifts and 40.0 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Special Education Teacher (SPED) School

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionJob Title: Facilities Technician Classification: Full-time, Non-exempt Pay Rate: $29.08/hour Reports to: Director of Facilities & Maintenance Brooklyn Bridge Park (BBP) is looking to hire a full-time Facilities Technician (Tech). Reporting to the Director of Facilities, the Tech will work collaboratively with other team members and contribute to the general maintenance and repairs of Brooklyn Bridge Park’s many complex systems, in concert with established organizational mission, values, and standards. Systems include indoor facilities, public restrooms, playgrounds, water features, pedestrian bridges, outdoor lighting, HVAC and irrigation systems. Primary Responsibilities: • Work indoors and outdoors year-round and adapt to varying environmental conditions., • Perform general and detailed maintenance tasks, including facility inspections, work order completion, and assisting with special projects and events., • Ensure all park equipment and facilities are maintained in safe, operational condition for visitors., • Complete and document daily work orders efficiently and accurately., • Support ongoing operations and preventative maintenance of all systems and assets within Brooklyn Bridge Park., • Participate in seasonal maintenance activities such as snow removal and water system start-up/winterization., • Collaborate with team members to maintain proper inventory of maintenance supplies, materials, and equipment., • Provide emergency response for park-wide systems including mechanical, electrical, plumbing, and irrigation components., • Coordinate with outside contractors to perform specialized tasks, adjustments, and repairs., • Deliver positive customer service by assisting park visitors and providing accurate park information., • Perform other duties as assigned by management., • Nights and weekends are not required except during extreme weather events or emergencies.Qualifications:, • Hardworking, self-motivated, and dedicated to the details., • Previous experience in facility maintenance, technical operations, and preventative maintenance., • General knowledge of HVAC, electrical, plumbing, carpentry, masonry and general maintenance., • Ability to efficiently troubleshoot and diagnose a variety of repair projects., • Must be punctual, dependable, and trustworthy., • Strong communication and basic computer/smartphone skills., • Comfortable working independently or with a team, and can balance multiple projects and tasks., • Being a team player and having the ability to be flexible when necessary, including with schedule shifts. About You:, • You strive to be inclusive and collaborative. At BBP, we recognize that doing our best work means working together. We have each other’s back – and are helpful, humble and open., • You are committed. At BBP, we approach our work with integrity, positivity, and pride. We are committed to the public, the park and each other., • You are a problem-solver. At BBP, we prioritize learning, evolving and building creative solutions to ensure the Park remains a leader in sustainable green space for generations to come. Benefits (Other company benefits provided in addition to the following): • 403B (retirement plan), • Defined Benefit Plan (company-funded retirement), • Paid vacation time (up to 25 days), • Sick days (12), • Paid holidays/float days (15 days annually), • FMLA and other paid leaves (based on eligibility), • Tuition and professional development reimbursement, • Medical, dental, vision, Healthcare FSA, Dependent FSA, Commuter Benefits, Life, and Long-term Disability Insurance, • BBP vendor discounts at restaurants, food markets, and other eateries Brooklyn Bridge Park is an Equal Opportunity Employer. Brooklyn Bridge Park provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Powered by JazzHR y47Cn9e6V9

$40 - $100/hourpayLMMSSound DesignSound MixingAudio EngineerAudio EditingAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Title: LMMS Expert Job Type: Contract Location: Remote Job Summary: Join our customer's team as an LMMS Expert, where your mastery of music production within LMMS (Linux MultiMedia Studio) will directly shape the way advanced AI learns music creation. You'll demonstrate and articulate your complete workflow, from creative conception to polished final export, showcasing your ability to manage all production phases across any genre or project type. Key Responsibilities: • Produce and document entire music projects within LMMS, from the initial idea to final master export., • Demonstrate creative and technical decision-making throughout composition, sound design, arrangement, mixing, and mastering processes., • Showcase hands-on expertise using LMMS on Linux, Mac, and Windows operating systems., • Work with a variety of genres and project types, including electronic, hip-hop, pop, game audio, experimental, or podcasts., • Utilize and explain advanced LMMS features: MIDI sequencing, effect processing, plugin integration, automation, and problem-solving techniques., • Communicate your workflow, challenges, and rationale via clear written and verbal updates as part of a collaborative documentation process., • Contribute feedback and insights to help refine AI models that aim to emulate authentic, professional music production practices. Required Skills and Qualifications: • Proven, hands-on expertise completing full music production projects using LMMS as the primary DAW., • Comprehensive understanding of sound design, mixing, and music arrangement within LMMS., • Proficiency operating LMMS on Linux, Mac, or Windows platforms., • Strong written and verbal communication skills, with the ability to articulate production concepts and creative choices., • Demonstrated experience taking audio projects from concept to final export, independently managing all phases., • Familiarity working with a wide range of project types and genres., • Problem-solving attitude and ability to document real-world workflows in detail. Preferred Qualifications: • Experience delivering educational content, tutorials, or workflow walkthroughs for music production., • Background in collaborating with interdisciplinary teams, especially on technical or creative projects., • Passion for music technology, digital audio tools, and AI-driven creative solutions.

$35 - $100/hourpayStata SEAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Title: Econometric Data Analyst (Stata SE) Job Type: Contract Location: Remote Job Summary Join our customer's team as an Econometric Data Analyst (Stata SE), where you will leverage your expertise in advanced econometric modeling and Stata SE to deliver impactful, reproducible research solutions. You will tackle complex datasets, optimize workflows, and translate data-driven insights for academic and policy-driven environments. This is a unique opportunity for a Stata SE expert to contribute to high-impact projects from a fully remote setting. Key Responsibilities • Design and implement advanced econometric models using Stata SE, with a focus on panel data and causal inference techniques., • Develop, maintain, and optimize do-files for efficient data management, analysis automation, and reproducible workflows., • Conduct rigorous data cleaning, transformation, and validation of large-scale datasets to ensure accuracy and reliability., • Deliver clear, actionable insights through well-documented code, technical reports, and presentations tailored for academic and policy stakeholders., • Collaborate closely with our customer's team to understand project objectives, communicate findings, and iterate on analysis as needed., • Stay updated on best practices in econometric research and Stata SE functionalities, proactively sharing knowledge with peers., • Ensure that all research outputs meet high standards of reproducibility, transparency, and ethical data handling. Required Skills and Qualifications • Expert proficiency in Stata SE with demonstrated experience in econometric modeling and automation via do-files., • Advanced understanding of panel data analysis, causal inference methods, and large dataset optimization techniques., • Strong skills in data cleaning, preparation, and validation for complex statistical analysis., • Exceptional written and verbal communication skills, with a keen attention to clarity and detail., • Proven ability to document processes and present findings to diverse audiences in academic or policy contexts., • Experience in producing reproducible research outputs and ensuring high standards of analytic integrity., • Self-motivated, organized, and capable of thriving in a fully remote environment. Preferred Qualifications • Advanced degree (Master’s or PhD) in Economics, Statistics, Data Science, or a related field., • Prior experience collaborating on projects for academic or policy-focused institutions., • Familiarity with complementary statistical tools or programming languages (e.g., R, Python) is a plus.

$50 - $120/hourpayGodotGame DevelopmentAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Title: Godot Game Engine Expert Job Type: Contract Location: Remote Job Summary Join our customer's team as a Godot Game Engine expert, where you will have the opportunity to work on cutting-edge interactive experiences in a dynamic and collaborative environment. You will leverage your deep knowledge of Godot to drive the technical direction of game projects, ensuring robust architecture and seamless gameplay. This position is ideal for professionals passionate about creating high-quality games and excelling in both communication and technical domains. Key Responsibilities • Design, implement, and optimize gameplay systems and features using the Godot Game Engine., • Collaborate closely with designers, artists, and other developers to deliver polished and engaging player experiences., • Architect and maintain clean, scalable, and well-documented codebases., • Troubleshoot and resolve complex technical issues throughout the development lifecycle., • Contribute to the evaluation and selection of technical solutions and tools related to the Godot ecosystem., • Mentor and support team members in best practices, Godot workflows, and robust coding standards., • Participate actively in sprint planning, code reviews, and quality assurance processes. Required Skills and Qualifications • Deep expertise with the Godot Game Engine (GDScript, C#, or VisualScript)., • Proven track record of shipping commercial or high-quality independent titles using Godot., • Strong understanding of 2D/3D game development pipelines, asset integration, and performance optimization., • Ability to communicate complex technical concepts clearly in both written and verbal form., • Experience collaborating in a remote, distributed team environment., • Solid problem-solving abilities and passion for learning new technologies., • Demonstrated ability to produce clean, maintainable, and efficient code. Preferred Qualifications • Experience contributing to open-source Godot projects or plugins., • Background in gameplay, UI/UX, or multiplayer networking systems., • Exposure to agile development methodologies and tools.

$35 - $100/hourpayEViewsMacroeconomicsAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

Job Description Join JB&B and shape the future of the built environment! Founded in 1915, Jaros, Baum & Bolles has been a pillar of engineering innovation in New York City for over a century. Specializing in mechanical, electrical, plumbing (MEP), JB&B has contributed to some of the most iconic buildings. In October 2025, JB&B joined forces with Trinity Consultants, a global consulting firm focused on the natural and built environments. JB&B now operates within Trinity’s Built Environment division, combining its deep expertise in high-performance building systems with Trinity’s strengths in acoustic design, facility operations, commissioning, and technology strategy. This strategic merger expands JB&B’s capabilities and offers employees: * Access to a broader portfolio of international projects and clients * Enhanced career mobility across Trinity’s global network * Interdisciplinary collaboration with experts in sustainability, environmental science, and digital infrastructure About the Role We are seeking a Project Engineer to join the HVAC department at our New York office. The Project Engineer is a technically skilled and experienced engineer with excellent communication, coordination, project management and leadership skills. The Project Engineer is expected to proactively coordinate, communicate, problem solve across disciplines, and exhibit the ability to balance the client relationship with an understanding of the project’s financial goals. As a Project Engineer, you’ll play a key role in managing and executing electrical engineering projects from design through completion. You’ll collaborate across disciplines, communicate directly with clients, and help ensure that both technical excellence and project financial goals are achieved. Key Responsibilities • Leads the design on Tenant fit-out projects and is a key designer on base building/infrastructure upgrades; assembles riser diagrams, schedules, and floor plans; participates in specification writing, • Assists in establishing design criteria from the project proposal and assembles basis of design documents, • Assembles a complete set of contract documents for their trade including the lay out main equipment rooms, closets, shafts, risers, etc., • Leads design for their trade’s ancillary systems required for a project and can assemble scope associated drawings with these systems (e.g., UPS, generators, fuel oil, secondary water pumps, water reclamation system, etc.), • Reviews shop drawings, RFI’s, Contractor change orders, performs site visits and punch-lists with limited supervision to verify that designs are being implemented accurately, • Bachelor’s degree in mechanical or electrical engineering, • 3-6 years of experience, • Excellent oral and written communication skills, • Proficient in all design calculations and software tools (e.g., Revit and AutoCAD) applicable to their discipline, • Strong understanding of trade-specific scope of project, trade-related codes, and the required coordination with other trades, • Strong understanding of documentation requirements and content for each deliverable phase (e.g., SD, DD, CD and specifications) Legacy + Innovation: Our company blends a rich history with forward-thinking design, including smart building systems and deep carbon reduction strategies. * Collaborative Culture: With over 400 professionals, our company fosters mentorship, teamwork, and continuous learning. * Global Impact: Now part of Trinity, our company offers opportunities to work on transformative projects across commercial, healthcare, aviation, life sciences, and data center sectors. * Multiple office locations: New York, Boston and Philadelphia. What We Offer * Hybrid workplace offering the flexibility to work both from home and the office * Comprehensive benefits package including 401k employer match and stock options * Paid time off (PTO), volunteer program and employee resource groups * Training and professional development courses through JB&B University Estimated compensation range: $93,000-$100,000 annual salary Jaros, Baum & Bolles is an equal opportunity employer. All qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Powered by JazzHR c4hLE2TJT7

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. Currently, we operate multiple elementary and middle schools in the Bronx and Upper Manhattan, and are opening three new elementary schools in Queens for the 2025-26 school year. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children. Our Network office is located at 401 W. 218th St., New York, NY 10034. Our Network team follows a hybrid work schedule: we work in-person from our office on Tuesdays and Thursdays with optional remote days on Mondays, Wednesdays, and Fridays, if your team's scope of work permits. Deliver powerful results To achieve our vision, we are searching for a a Manager of Early Elementary Literacy with a Master's Degree and at least 3 years of experience with a proven record of leading exceptional academic outcomes in early elementary reading, and demonstrated leadership at the school or network level. Responsibilities: • Literacy Vision and Strategy: Design a rigorous and engaging early elementary literacy experience for our students based on inquiry, strong understanding of complex texts, development of foundational literacy skills, and learning how to collaborate and communicate powerful ideas, • Achieve Annual Academic Goals: Lead early elementary literacy with a high bar of excellence to meet rigorous annual goals assessments including comprehension and foundational reading, • Collaboration and Problem Solving: Develop authentic and meaningful relationships across Zeta to collaborate effectively to support growth in service of student learning. View every challenge as an opportunity for root cause analysis and change, • Science of Reading Knowledge and Experience: Demonstrated track record of expertise in the Science of Reading and supporting all students to become excellent readers and writers, • Curriculum and Assessment Management: Create and curate literacy curriculum across curriculum and assessment materials aligned with the New York State Learning Standards and our Zeta Learning Competencies, including unit plans, lesson plans, and assessments. Ensure a coherent sequence of learning through unit and lesson plans grounded in critical thinking, • Professional Learning: Design and lead early elementary literacy professional learning trainings for school principals, assistant principals, and teachers to lead to excellent academic results, • Instructional Management: Develop clear instructional management plans to ensure all early elementary literacy instruction is consistently implemented at a high level. Observe instruction across Zeta schools and develop leaders and teachers in service of ensuring programming is implemented at a high level to lead to exceptional academic outcomes, • Data Analysis: Study data to identify gaps and take action to ensure leaders and teachers are using data to increase learning outcomes, • Feedback Driven: Embrace a growth mindset. Actively seek, provide, and incorporate feedback, while fostering a culture of continuous improvement and collaboration, • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace and free Headspace subscription, • MacBook Air and specified monthly reimbursement for use of a mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team

Sous Chef – Fine Dining Restaurant $75,000 - $80,000 + Bonus Join this renowned restaurant group as the Sous Chef of an exciting new fine dining restaurant, responsible for supporting all kitchen operations, complete with excellent benefits, competitive salary, and outstanding career growth opportunities. COMPANY: • Known for delivering exceptional guest experiences through creativity, attention to detail, and a commitment to excellence, • Combines innovative concepts, elevated design, and outstanding service across 3 distinct concepts BENEFITS & FEATURES: • Medical insurance paid 100%, • Dental and Vision insurance, • FSA and HSA, • 401k (after 1 year, with 5% matching), • 2 weeks of vacation, 3 weeks after 2+ years, • 7 company holidays, • Dining discounts YOUR ROLE WITH THE COMPANY: The Sous Chef supports the Chef de Cuisine in all BOH operations. Your responsibilities will include: • Assist in managing the kitchen with production and execution, training and mentoring the culinary and FOH staff, as well as managing food and labor costs on a daily basis, • Daily inspections of all food prepared; ensure cleanliness and sanitation procedures are followed by the entire BOH team, • Coordinate training activities with the main kitchen, prep cooks and dishwashers, • Maintain all specialized company equipment and ensure cleaning protocols are followed, • Build lasting relationship with all vendors, • Assist Chef de Cuisine with food and beverage related issues, execution issues and problem solving, • Oversee the ordering of supplies and maintain propery inventory control levels, • Experienced leader to anchor and guide the service team with confidence and efficiency, • Assist in scheduling, training, and performance management of kitchen staff BACKGROUND PROFILE: • 2+ years of experience as a Sous Chef with an $8M+ upscale or fine dining restaurant, • Experience with Italian cuisine strongly preferred, • Have strong interpersonal and communication skills, • Energetic, detail oriented, and a passion for hospitality, • Must be quick to learn, flexible, and comfortable adapting in a fast-changing environment, • Able to pivot swiftly and embrace new challenges with a learning mindset EOE – EQUAL OPPORTUNITY EMPLOYER

Chef de Cuisine – Upscale Italian Restaurant $100,000 - $110,000 + Bonus Join this renowned restaurant group as the Chef de Cuisine, responsible for overseeing all restaurant operations, complete with excellent benefits, salary, and career growth opportunity. COMPANY: • Known for delivering exceptional guest experiences through creativity, attention to detail, and a commitment to excellence, • Combines innovative concepts, elevated design, and outstanding service across 3 distinct concepts BENEFITS & FEATURES: • Medical insurance paid 100%, • Dental and Vision insurance, • FSA and HSA, • 401k (after 1 year, with 5% matching), • 2 weeks of vacation, 3 weeks after 2+ years, • 7 company holidays, • Dining discounts YOUR ROLE WITH THE COMPANY: The Chef de Cuisine oversees all back-of-house operations of the restaurant. Your responsibilities will include: • Lead the culinary team with passion and professionalism, inspiring excellence and upholding the highest standards of food and hospitality, • Oversee all back-of-house operations, including inventory management, ordering, COGS control, and adherence to standard operating procedures, • Ensure consistency and refinement in every dish, maintaining exceptional quality, flavor, and presentation across all menu items, • Collaborate with leadership on menu development, seasonal changes, and special offerings that reflect creativity and ingredient integrity, • Foster a culture of learning and teamwork through coaching, mentoring, and hands-on training, • Maintain full compliance with health, safety, and sanitation standards, ensuring a clean, efficient, and organized kitchen environment, • Partner with the management team to achieve operational goals, control costs, and uphold the restaurant’s reputation for excellence BACKGROUND PROFILE: • 3+ years of experience as a Chef de Cuisine with a $6M+ upscale or fine dining restaurant, • Proven experience in authentic Italian cuisine, with a strong background in fresh pasta production and execution is required, • Genuine passion for Italian culinary traditions and contemporary interpretations of regional dishes, • Comprehensive knowledge of sanitation practices, food safety, and health department regulations, • Demonstrated ability to develop and execute ingredient-driven menus with creativity and balance, • Skilled in managing inventory, food costs, and labor to achieve operational efficiency and profitability, • Collaborative and positive leadership style, fostering teamwork and a culture aligned with hospitality and excellence EOE – EQUAL OPPORTUNITY EMPLOYER

HEAD OF PRODUCTION We are UNR — an award winning, tech-forward, full service creative production company that supports agencies, brands and distributors alike across all media, genres, channels and formats globally at scale. We are ambitious, growing and shaping the next era of integrated production. We bridge the gap between the entertainment and brand worlds, and are equally respected and acknowledged in both. We’re seeking a Head of Production to lead our global expansion, with a primary focus on North America. With studios in NYC, LA, DET & TOR, this person will lead our production teams, grow our revenue and represent UNR’s creative, strategic and cultural vision. This is the person responsible for ensuring UNR delivers world-class creative work across everything we make, operates effectively and efficiently with our external clients and our internal disciplines, and continues expanding our capabilities and reputation as a future forward, next generation production company. This is a leadership role for someone who thrives in a creatively driven, hybrid environment—part executive, part producer, part creative, part technologist and part culture-builder. ROLE OVERVIEW The Head of Production will oversee all production disciplines—Live Action, Photo, Post, AI, Experiential and Integrated Content—and serve as the primary executive steward for UNR’s creative output and production business. You will guide creative and strategic decision-making, manage senior client and agency relationships, build and optimize high-performing production teams, and drive commercial growth in each office. This role requires a solutions minded, creatively oriented, resourceful, practitioner who can operate within the work and the client meetings, not just above them. The ideal candidate brings diplomatic excellence, deep production and post production expertise, digital and generative technology knowledge, financial acumen and a highly collaborative leadership style. Our Unreasonable Head of Production will focus predominantly on always elevating Production & Post Production. This means a thorough understanding of the marketplace, interest and experience with well known production companies, best in class and emerging talent whether directors, DPs, editors, special effects talent, producers as well as the clients and their often complex needs in an ever evolving production environment. KEY RESPONSIBILITIES 1. Function Leadership • Provide overall production leadership for UNR — operationalising production capabilities, ensuring creative excellence and accuracy and diligence in delivery in all instances., • Serve as the senior-most representative in Production for UNR across all global clients, partners and agency collaborators., • Demonstrate thought leadership and practical implementation across AI and generative tech, video, post, social, photo, design and other emerging technologies., • Collaborate with global UNR leadership including Finance, Operations, Talent, etc. to align practice, culture and standards across all offices, clients and partners., • Serve as our public facing ambassador when it comes to clients, consultants, conferences, creative delivery and the community of production. 2. Oversight of Production & Post • Oversee production across all disciplines and formats—from brief, bidding, creative treatment, budgeting, shooting, editorial and finishing through execution and delivery—ensuring efficiency, profitability, and world-class quality and creative standards we are known for., • Provide management, guidance and oversight to Executive Producers, Integrated Producers and Post teams., • Create and uphold production frameworks, processes, project management and workflows using the latest tools, technology and software to their greatest effect. Demonstrate excellence in customization not just automation., • Maintain accountability for on-time, on-budget and on-scope delivery across the entire portfolio., • Drive the strategic adoption of Generative AI and machine-learning tools across the production lifecycle—from AI-assisted storyboarding and pre-visualization to automated rotoscoping, dialogue cleanup and "vanity" VFX in post—ensuring UNR remains at the frontier of production efficiency., • Move AI from "experimentation" to "standard operating procedure" by building robust guardrails for ethical AI use, IP protection, and quality control, ensuring that AI-enhanced outputs meet our world-class creative standards., • Be a leader in standardizing and optimizing the Adobe Creative Cloud ecosystem across all global hubs (NYC, LA, DET, TOR, LON), leveraging Adobe Creative Cloud, Workfront, AEM and Frame.io to ensure a Chase the Sun talent optimization, seamless asset sharing, real-time collaboration and version control across time zones., • Lead the ongoing evolution of our post-production stack, ensuring teams are trained on the latest Adobe features (such as Firefly-powered Generative Fill or AI-based audio enhancement) to reduce manual labor and maximize creative "maker" time. 3. Team Leadership, Development & Culture • Mentor and inspire all production personnel to produce the very best work across the entire production eco-system ensuring exceptional creative delivery and flawless execution., • Build the next wave of UNR talent: recruit, hire, coach, and develop producers, coordinators, creative production specialists and beyond., • Foster a proactive, highly creative, supportive, accurate and solutions-oriented environment. Build on our “maker’ mentality and craft culture., • Model leadership and mentorship at all times—setting the standard for how UNR shows up on set, with clients, and with each other., • Develop best-in-class client service and hospitality on behalf of UNR around productions, new studios, major industry events and conferences, etc. 4. Financial Management & Commercial Growth • Own the financial performance of production jobs including revenue forecasting, cost controls and profitability targets., • Partner closely with CEO, Finance & Operation to build regular business reports, revenue analysis and annual planning., • Create pricing models, rate cards, SOW frameworks, partnership agreements and scalable commercial systems., • Expand external client revenue within the Stagwell network; build relationships with brands, agencies and production partners to grow the UNR pipeline., • Adept at leveraging emerging production technologies to modernize workflows, reduce manual effort and elevate the quality and consistency of outputs. 5. Client & Agency Relationship Leadership • Serve as the senior point of production contact for key stakeholders at all Stagwell agencies, • Build long-term relationships with agency partners and external clients; ensure UNR is seen as an indispensable creative production partner., • Deliver executive oversight on pitches, treatments, creative decks, and major production approaches., • Champion a “find a way” mindset—warm, collaborative, fast and solutions-oriented. 6. Business Development & Brand Expansion • Showcase new talent, new projects, new technologies, new techniques that will help UNR develop new business., • Identify new revenue streams, new services, strategic partnerships and new categories where UNR can excel., • Attend industry events, festivals and emerging-tech environments on behalf of UNR, representing our capabilities and creative point of view. 7. Cross-Office Leadership & Travel • Maintain a strong presence across all N.A. offices; expect to be on the road visiting offices, sets, clients and partners, • Ensure cohesion across time zones, teams and active productions., • Train leadership, improve communication systems and ensure all offices work as one UNR. WHO YOU ARE • A seasoned production executive with 12–15+ years across live action, post, photo, animation integrated content and emerging/generative tech., • Experience beyond advertising agencies, very ideal in clear production first environments and/or in-house set ups., • A natural leader who balances creative ambition with operational rigor., • Comfortable balancing craft, commerce, creativity and culture., • Hands on vs hands off. Rolls sleeves up and works through problems on eye level., • Entrepreneurial, resourceful and excited to grow a new business., • A trusted advisor to agencies, directors, creatives and brand clients., • A mentor and culture builder—someone people love working with., • Calm under pressure; decisive; endlessly solutions-oriented., • Ideally based in New York, Detroit or Los Angeles.

$20 - $70/hourpayLibrespritePixel ArtGraphic DesignIllustrationAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Title: LibreSprite Expert Job Type: Contract Location: Remote Job Summary Our customer’s team is seeking a skilled LibreSprite Expert to play a pivotal role in professional pixel art and animation projects. You’ll capture your creative process, providing valuable insights into your workflow while helping to teach AI how top-tier Libresprite users operate. This role is perfect for experienced artists who thrive in end-to-end project management and are passionate about sharing both their artistry and thought process. Key Responsibilities: • Drive complete pixel art and animation projects from concept through final asset export using LibreSprite., • Demonstrate real-time animation previews, refining motion and timing to studio-quality standards., • Utilize onion skinning, layers, and complex sprite composition features to create smooth, dynamic animations., • Design and develop cohesive asset sets, sprite sheets, character animations, tilesets, UI elements, and retro-style illustrations., • Leverage tiled drawing mode, palette customization, and pixel-precise tools for intricate patterns and detail work., • Export optimized sprites and animations in required production formats, adhering to technical and artistic specifications., • Clearly articulate workflow decisions, creative choices, and technical approaches—both in writing and verbally. Required Skills and Qualifications: • Expert-level proficiency with LibreSprite, with a proven track record of production usage., • Strong portfolio showcasing professional pixel art, animation, and graphic design., • Exceptional written and verbal communication skills, able to explain concepts and workflow logic clearly., • Experience independently managing end-to-end projects, from concept through asset delivery., • Deep understanding of sprite composition, animation techniques, and stylistic nuances in pixel art., • Proficient in customizing color palettes, tile creation, and managing complex layers and animation frames., • Ability to work autonomously within a remote, collaborative environment. Preferred Qualifications: • Prior experience capturing or teaching creative workflows for training, tutorials, or educational initiatives., • Familiarity with retro game art pipelines or production environments., • Experience contributing to open-source or collaborative art projects.

$20 - $80/hourpayArdourMixingSound DesignSound EditingMusic ProductionSoftware DeveloperAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Title: Ardour Expert Job Type: Contract Location: Remote Job Summary Join our customer's team as an Ardour Expert and help shape the future of intelligent audio production. We are seeking a seasoned professional with hands-on mastery of Ardour, capable of managing end-to-end audio projects from live multitrack recording to polished master export. Your expertise will drive innovative workflows and teach AI to understand real-world audio engineering decisions. Key Responsibilities • Lead full-cycle audio production projects within Ardour, from session setup to final mix and master., • Demonstrate and document live multitrack recording workflows—capturing bands, orchestras, church services, concerts, or other live events., • Showcase advanced session management: mic placement, routing, latency troubleshooting, gain staging, and live session adaptation., • Edit and comp takes, apply plugins, configure buses, automate mixes, and creatively solve session-specific challenges., • Explain and model both technical and artistic decision-making in Ardour for educational and AI-training purposes., • Collaborate closely with the team to ensure detailed capture of your workflow and reasoning., • Contribute to process documentation and feedback to continually improve our AI learning systems. Required Skills and Qualifications • Extensive, professional experience using Ardour for audio production, with a proven portfolio of end-to-end projects., • Expertise in multitrack live recording scenarios, including venue capture and real-time problem-solving., • Strong background in sound design, mixing, mastering, and sound editing using Ardour., • Ability to clearly articulate workflow processes and technical reasoning, both verbally and in writing., • Familiarity with session routing, plugin chains, effects application, automation, and mastering export within Ardour., • Demonstrated ability to troubleshoot and resolve technical issues in high-pressure environments., • Professional communication skills, with a focus on clarity and collaboration. Preferred Qualifications • Experience developing software or tools for audio production environments., • Background in music production, post-production, podcasting, film scoring, or sound design using Ardour., • Previous experience teaching, mentoring, or documenting technical audio workflows.

$40 - $100/hourpayQGISGeographyMappingAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Title: QGIS Expert Job Type: Contract Location: Remote Job Summary: Join our customer's team as a QGIS Expert, where your deep expertise with QGIS will have a direct impact on the next generation of spatial analysis technology. This is a unique opportunity to not only showcase your mapping and project management abilities, but also contribute to teaching AI how top QGIS professionals think, reason, and solve complex spatial challenges. Key Responsibilities: • Lead end-to-end projects in QGIS, from raw spatial data acquisition and cleaning to final map outputs and comprehensive deliverables., • Document your workflow and reasoning in real-time as you perform data management, spatial analysis, and map production tasks., • Organize, clean, and validate diverse spatial datasets, ensuring high accuracy and consistency throughout the process., • Manage projections, coordinate systems, and spatial references to optimize data interoperability and output quality., • Style and symbolize map layers for clarity, interpretability, and professional presentation in various contexts., • Build advanced layouts and cartographic products, explaining your design decisions along the way., • Troubleshoot issues and explain problem-solving strategies as they arise within QGIS workflows. Required Skills and Qualifications: • Extensive hands-on experience with QGIS, including managing full GIS projects independently., • Proven track record of delivering high-quality spatial analyses, maps, and geospatial outputs using QGIS., • In-depth understanding of spatial data formats, coordinate systems, projections, and related GIS principles., • Exceptional written and verbal communication skills, with the ability to clearly explain technical decisions and workflow rationale., • Strong data organization, cleaning, and transformation skills within QGIS., • Experience troubleshooting and resolving complex challenges in GIS workflows., • Comfortable working remotely while maintaining consistent project documentation and communication with the broader team. Preferred Qualifications: • Experience documenting GIS processes for training, teaching, or AI research purposes., • Background in mentoring or collaborating within multi-disciplinary GIS teams., • Familiarity with integrating QGIS with other geospatial tools or programming languages.

POSITION TITLE: Center Director (MA Early Childhood Education and Current NYS Birth-Grade 2 certification req. ) DEPARTMENT: Early Childhood LOCATION(S): Bronx REPORTS TO: Bronx Regional Director SALARY RANGE: $87,000 - $93,000 DATE: January 2026 Schedule: This full-time, in-person role is Monday through Friday, with shifts from 8 am to 4 pm, 9 am to 5 pm, or 10 am to 6 pm. Hours may vary based on program needs. Grand St. Settlement is significantly growing in the Bronx, opening six early childhood education centers. We seek Center Directors for two sites to lead operations, mentor staff, and deliver high-quality early learning experiences so children thrive and achieve lifelong success. As Center Director, you will manage a Child and Family Center, including staff recruitment and development, promoting a culture of excellence, and delivering culturally responsive child development services. You will oversee program operations, budgets, and partnerships, ensure compliance with all regulatory requirements and contracts, and use data to drive continuous improvement. During the first two years, this role will evolve as we open these center-based sites. We seek entrepreneurial, hands-on leaders. You must be adaptable to change and remain resourceful under pressure. We seek individuals committed to developing scalable systems. This position offers the opportunity to shape processes, address challenges, and implement our vision. Titles and duties will be finalized once all sites are fully operational. ESSENTIAL DUTIES AND RESPONSIBILITIES: The Center Director will be responsible for: Planning: • Approve and oversee daily lesson plans and individualized goals for each child., • Ensure the implementation and incorporation of early childhood development and the Developmental Continuum, including close child observation and anecdotal record-keeping., • Maintain 97% enrollment in partnership with Family Services, approving eligibility under ERSEA., • Help teaching staff develop systems to engage parents in child observation., • Lead team meetings and participate in case conferences to coordinate services., • Ensure compliance with Head Start education standards., • Participate in assessments, programs, and policy reviews as needed., • Provide ongoing feedback aligned with staff development plans and Head Start standards., • Clearance through DOI and DOE fingerprint screening, NYS Central Registry, Sex Offender Registry clearance; 3 reference checks; physical examination with updated TB test, varicella, Tdap, MMR (fees may apply), • Obtain Mandated Reporter training certificate (every 2 years) and comply with the agency’s policy and procedure regarding identification and reporting of child abuse and neglect., • Obtain First Aid/CPR and Preventive Infectious Diseases certificate within the first year of employment., • Master’s Degree in Early Childhood Education or related field, • Current New York State Birth-Grade 2 certification, • Excellent oral and written skills, and computer literacy in Microsoft Word and Excel, • Strong background in management and program design, • Strong background in the management of early childhood professionals, • Proven commitment to working with diverse communities and populations, • Strong team engagement that includes enthusiasm, vision, creativity, and initiative EQUAL OPPORTUNITY EMPLOYER (EOE) BENEFITS Full-time employees receive health, vision, dental, and life insurance, a 401(k) plan, and a generous paid time off policy. TO APPLY To apply, email your cover letter and résumé with the subject line “GSS Bronx Center Director” to . Applications are reviewed on a rolling basis.

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Business Overview KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at . Position Summary In this role, you will demonstrate significant knowledge of organic search including content strategy, technical knowledge, and tactics necessary for delivery of complex SEO programs. Just as important for this role as discipline knowledge will be the ability to build client relationships as a key day-to-day point of contact. This involves presenting training sessions, leading conference calls, adhering to action plans, guiding clients to completing their projects, and writing strategic points of view. The associate director will also be expected to contribute research to benefit both clients and the internal team. The right person for the role will be a confident, entrepreneurial self-starter who has proven success and can thrive in a fast-paced environment. It is expected that the candidate will be ready to manage people and pull in other help when needed. Responsibilities • Lead the strategy for presentation of audits, training, and reporting., • Build out cutting edge SEO services such as search as business intelligence and reputation management., • Lead, develop, and manage Manager, Sr. Analyst, and Analysts., • Offer guidance, support, and direction as well as provide development opportunities and ongoing feedback., • Accountable for team development, including utilizing organizational tools such as learning and development, creating internal opportunity and challenges for staff, and maintaining positive morale., • Identify opportunities to improve efficiencies and templatize/automate tactical work., • Clearly define elements of SEO projects to set expectations of what is and is not in scope., • Aid the director and VP in scoping both future projects and staffing., • Work seamlessly with cross-functional teams including paid search, paid social, content production, and web development from multiple agencies within the IPG family., • Verbally, literally, and visually provide strategic and tactical guidance on SEO best practices., • Identify new opportunities for service line evolution and development., • Maintain good working relationships and sell in new projects where it benefits the client., • Share new developments (brand updates, team changes, industry news, etc.) within the team and thereby enable superior service to our clients., • Ensure direct reports are trained on research and reporting platforms to excel in their roles., • Main point of escalation for internal team questions and problem solving., • Aid team directors and client business leads with conflict resolution both internally and with clients, where necessary., • Evaluate team performance and make recommendations for direct reports’ training and development., • Support and drive corporate culture initiatives. Required Skills & Experience • Substantial experience in digital marketing with an emphasis on SEO., • Substantial experience with tools relating to web analytics, SEO reporting, link, and technical analysis., • Experience collaborating or working in Paid Search and Social., • Strong grasp of Microsoft Outlook, Excel, PowerPoint, and Word., • Excellent written and verbal communication skills with the know-how to translate detailed knowledge into key takeaways for all positions from analysts to C-level executives., • Demonstrated track record of moving client partnerships forward to generate results and new business opportunities. Desired Skills & Experience • Comprehension of site development from conception and wireframes to build and development., • Solid understanding of HTML and dedication to white hat techniques., • Highly analytical with the ability to internalize the importance of performance KPIs such as ROI., • Familiarity with how both front end design and back-end servers can affect SEO performance., • Reliability to develop agendas, set up conference calls, and present either in-person or by phone., • Consistent organizational skills, attention to detail, and accuracy when working with numbers. Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is the policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. 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 employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position, please email .

Senior AI Engineer New York, NY - 4 days onsite $250,000 - $275,000 + bonus; $400,000-$500,000 total THE COMPANY Harnham is partnering with a niche PE firm in the NYC area, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying automation and optimization opportunities throughout the portfolio. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment. RESPONSIBILITIES • Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions., • Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability., • Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing., • Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations., • Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use. SKILLS AND EXPERIENCE • BS/MS degree in Computer Science, Machine Learning or a related field., • Over 4 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring., • Background in Software Engineering required., • Enterprise-level application experience, ideally in real-time preferred., • Expertise in cloud infrastructure, machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments., • Experience as a tech-lead for scaling MLE teams preferred., • Commercial experience in smaller teams, scaling startups / scrappy environments a plus. BENEFITS The compensation package contains a base salary, bonus and a comprehensive benefits package. HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. KEY TERMS Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Private Equity | PE | Portfolio | Anomaly Detection | Fintech | Agentic AI | AI Agents | Software Engineering | Software Engineer

About us Zara offers the latest fashion trends for all. An international brand with stores in the main cities of the world and online. Our business model is centered in our customers, constantly adapting to their needs. We love what we do. Teamwork, passion, curiosity, diversity, sustainability, creativity and humility are our daily motivation. Does it sound like you? Maybe you are a Zara person. Purpose The role serves as a strategic partner to the Talent Center team, leading end to end recruitment initiatives for corporate functions and senior retail leadership across Inditex US & PR. This includes cultivating strong, collaborative relationships with Hiring Managers and HR, ensuring seamless alignment and communication throughout all stages of the hiring process. Through the development of forward-thinking sourcing strategies and targeted attraction efforts, the role drives a robust talent pipeline, strengthens employer branding, and delivers a best-in-class candidate experience while securing high caliber talent for both current and future organizational needs. Key Responsibilities • Lead high‑volume, full‑cycle recruitment for corporate functions and senior retail roles, managing a large portfolio of vacancies with speed, accuracy, and strategic prioritization., • Build and sustain a proactive, high‑quality talent pipeline by screening large volumes of resumes, identifying strong profiles, and maintaining consistent engagement across multiple channels., • Conduct in‑depth role discovery by analyzing job descriptions, meeting with hiring managers, and gaining a deep understanding of technical, behavioral, and operational role requirements., • Perform ongoing market, competitor, and industry analysis to ensure informed hiring decisions and alignment with evolving labor trends across all operating markets., • Source top talent through diversified strategies, including local market networking, colleges and universities, workforce development partners, NGOs, and innovative digital platforms., • Partner closely with HR Managers and store leadership to understand talent gaps, workforce planning needs, and operational realities within assigned regions., • Drive seamless recruitment operations, including job postings, social media content, interview scheduling, and all administrative components of the hiring lifecycle., • Maintain accurate, data‑driven applicant tracking, producing dashboards, reports, and insights to evaluate recruitment performance and inform strategy., • Identify and test new sourcing channels, continuously enhancing outreach methods to access untapped or emerging talent pools., • Ensure recruitment processes are executed with efficiency and excellence, supporting broader HR initiatives and cross‑functional projects as needed., • Design and deploy creative, out‑of‑the‑box attraction tactics that elevate employer branding and strengthen the company’s visibility as a destination for top talent., • Deliver a best‑in‑class candidate experience, managing interviews, feedback loops, and communication touchpoints with professionalism and clarity., • Build strategic external partnerships with educational institutions, professional organizations, and community groups to expand long‑term talent reach., • Champion employer brand initiatives, supporting ongoing attraction campaigns and maintaining a consistent, positive presence in the talent marketplace., • Collaborate on special projects and continuous improvement efforts assigned by the Recruitment Manager, contributing to innovation within the Talent Center function. Experience and qualifications • Minimum of 5 years recruitment experience preferably in a high-volume retail environment., • Bachelor’s Degree in related field strongly preferred, • Self-starter motivated to drive results and promote innovative ideas, • Proven success delivering results in a fast-paced, high-growth environment., • Excellent interpersonal and communication skills - written and verbal., • Strong organizational skills., • Ability to multi-task., • Must work well under pressure., • Proactive problem solving with a strategic approach, • Must be able to travel within the west coast for recruitment events when needed What we offer In addition to a competitive salary, you will also receive 25% discount to buy the latest trends in any of our brands and a variety benefit package where you can find a wide range of discounts. Our internal talent is our greatest asset, and we are proud of offering internal promotion programs where you will find opportunities to grow, e-learning and training programs as well as social projects to get involved and contribute to a better society, and much more! Annual compensation range $90,000 - $110,000 + discretionary annual bonus • Zara, in good faith, believes that this posted rate of compensation is the accurate range for this role at this location at the time of this posting. This range may be modified in the future. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and applicable laws. Zara USA, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, sexual orientation, gender, gender identity, gender expression, disability, age, citizenship status, veteran status or any other characteristic protected by applicable federal, state or local laws. EOE/DFW

Job Summary: As an Assistant Manager focused on fitness programming, you will design and implement cutting-edge workouts, lead a team of fitness professionals, and inspire our members to reach their full potential. Responsibilities: • Perform fitness assessments, determine exercise prescriptions, and design workout programs for a diverse population, including a variety of high-risk clientele, • Design, implement, and manage a wide range of fitness programs, including group exercise classes, personal training, and specialized offerings., • Build strong relationships with members, providing exceptional customer service and addressing their fitness goals., • Mentor and supervise fitness staff, fostering a positive and supportive work environment., • Stay up-to-date with the latest fitness trends and industry best practices to ensure our programs remain cutting-edge., • Oversee day-to-day operations of the fitness center, including facilities and maintenance, • Instruct group exercise classes, and at some facilities, manage the group exercise scheduling and staffing, • Assist the Program Manager with strategic planning, budgeting, and reporting. Qualifications: • Bachelor’s Degree in Exercise Science, Kinesiology, or a related field., • Current CPR/AED/First Aid certification is required., • Current certification from a nationally accredited industry association such as NASM, ACSM, NSCA, ACE is required., • At least 1 year of experience in the fitness industry. Experience leading group classes is a plus., • A passion for developing others, with a proven track record of mentoring and coaching team members., • Excellent interpersonal and communication skills with an outgoing personality, strong customer service abilities, and a talent for building lasting client relationships. Per pay transparency requirements, the compensation for this position ranges from $21 - $36/hour. Minimum rates may vary based on local wage laws. Pay is dependent on factors including site location, specialty, certifications and work experience as well as other business needs. Exos offers a comprehensive benefits package for all full time employees (all benefits are subject to eligibility requirements), which includes health insurance, life and disability benefits, 401(k) plan, and paid time off. Additionally, Exos offers a variety of part time benefits (subject to eligibility requirements). WHO WE ARE For nearly 30 years, Exos has been dedicated to getting people ready for the moments that matter by promoting a holistic approach to health. As an elite coaching company, Exos applies its evidence-based methodology to programming designed to unlock the potential in everyone from corporate employees, to elite athletes, military operators, and beyond. Simply put, we “get you ready” for the moments that matter — whether that’s striving to excel at work, or training for a major athletic event. How do we do it? Our employer solutions include fitness center management, on-site coaching and classes, and the Exos app, as well as immersive team-building experiences, executive coaching, and personal development programming. Our professional athlete training programs propel elite athletes to new heights in the NFL combine and NBA Draft each year, and our practitioner education courses and workshops provide industry professionals ongoing opportunities for development. We’ve never been the type to accept the status quo. We’re all about studying, learning, innovating, and making waves. And we feel that it’s our responsibility to help others because we know there’s a better way. That better way is Exos Readiness. We are an equal opportunity employer EXOS is proud to be an equal opportunity employer. We are committed to creating an inclusive and welcoming workplace for all. We invite applicants from a wide variety of identities, ideas, perspectives and experiences and encourage people from underrepresented backgrounds to apply. Exos offers reasonable accommodations to job applicants with disabilities. Learn more here: • EEO is the Law, • EEO is the Law Supplement

Who we are We are a tightly knit company of good people coming together to do exceptional work in the audiovisual events, livestream, and system design spaces. Our mission is to provide an unparalleled professional experience through a synthesis of creativity, technical ability, and personability. Why join us? We’ve been around for 19 years and have a roster of excellent clients and team members. We’re actively seeking smart, passionate, good-natured people to join our NYC-based team. We are people-focused, strive for a positive work environment, and take pride in our work. To be the best, we seek to surround ourselves with the best. And to us that not only means top notch technical abilities, but also a high level of creativity and team-forward interpersonal skills. At Park Boulevard we aim to: • Inspire everyone we encounter to want to work with us again, • Challenge industry conventions, norms, and traditions, • Think from the client/user perspective, • Build teams that hold individual uniqueness and ingenuity in high esteem What we offer We are a small company that seeks to offer big things to our staff, so in turn we can offer big things to our clients. We are proud to offer the following benefits: • Competitive starting salary, • Health insurance benefits, • Employer-matching 401(k) retirement plan, • Flexible and generous PTO, • Comprehensive training and continuing education opportunities About this job We are seeking a skilled Driver/Loader & Gear Wrangler to join our team. We need an independent, motivated driver to manage our deliveries and pick-ups of equipment with our company van and box trucks for live events and audio/visual installations. Candidates with prior shop experience in the events/tech field are a perfect fit. This is a full time position with at least half the hours in the afternoons and evenings. Some weekend work is also required. You’re an ideal candidate if you have at least one year of experience with: • Driving large vehicles (a clean driving record and NYS driver’s license are required; CDL not essential), • Packing trucks and operating lift gates, • Lifting heaving items (up to 75 lbs) safely, • Navigating NYC, • Working in the event production industry as stagehand or AV tech (preferred, but not required) And are: • Friendly and down-to-earth, • A team-player, • Dependable, trustworthy, and reliable, • Great with time management, • A good communicator, • A creative thinker, • One who takes pride in their work, • Interested in learning new devices and technologies, • Able to work an erratic non-traditional work schedule. Most often evenings and late nights during the week. Some early mornings, and weekends.