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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

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).

Senior Lead AI Engineer (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 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).

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).

Sr. 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 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 New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $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).

Director, Applied AI Product Manager: At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Director, Applied AI Product Manager to join our Innovation Team and lead AI-driven business transformation initiatives that reimagine how work gets done across the bank. This leader will combine deep technical fluency in AI systems with strong product strategy and execution experience in large, complex organizations. The ideal candidate has successfully built and scaled AI-enabled platforms, led multidisciplinary teams, and driven measurable business outcomes in regulated enterprise environments. This role is located in New York, NY (4 days in office per week). Role Overview: As Director, Applied AI Product Manager, you will define and drive the strategy for AI-powered process transformation across enterprise functions. You will lead cross-functional teams to design, build, and scale agentic and intelligent automation solutions that reduce risk, improve operational efficiency, and enhance client experiences. You will operate at the intersection of Product, Engineering, Data Science, Operations, Risk, and Compliance—ensuring solutions are secure, explainable, scalable, and production-ready. In this role, you’ll make an impact in the following ways: Product Vision & Strategy * Define and own the product vision, strategy, and roadmap for AI-driven business process transformation initiatives with key business stakeholders * Responsible for client segment strategies, market/competitive analysis, pricing, commercialization and GTM, revenue/organic growth objectives * Align roadmap priorities to enterprise modernization, AI strategy, and operational efficiency objectives * Identify high-value opportunities for AI, intelligent automation, LLMs, and agentic architectures to eliminate manual workflows and enhance decision intelligence (transform business processes into digital products) * Translate ambiguous, complex business problems into clear product tenets, PR/FAQs, and scalable execution plans * Champion an AI-first mindset across the organization, embedding modern product thinking and experimentation frameworks AI-Native Process Reimagination at Scale * Oversee orchestration frameworks spanning: * Event-driven architecture * APIs and microservices * Workflow engines and state management * Metadata-aware retrieval systems * Multi-agent coordination models * Balance innovation velocity with enterprise-grade reliability and governance * Partner with Engineering and Data Science to operationalize AI at scale, incorporating model lifecycle management, observability, guardrails, and performance optimization * Ensure responsible AI governance, addressing bias, explainability, privacy, data security, and operational resilience Execution & Cross-Functional Delivery * Influence senior executives on investment prioritization and enterprise adoption * Translate complex AI and agentic concepts into clear, outcome-driven business narratives * Drive adoption through executive storytelling and structured change management * Lead a high-performing product team with strong systems-thinking capabilities * Remove blockers, align stakeholders, and ensure consistent value delivery across concurrent workstreams Enterprise & Stakeholder Leadership * Partner with senior executives and enterprise stakeholders to align AI strategies with business objectives * Role model practice proficiency + liaison responsibilities across product, design, engineering, and commercial practices to communicate vision, strategy, progress, and measurable impact to leadership * Drive field-to-product feedback mechanisms to continuously refine AI solutions for enterprise-grade performance * Enable adoption through playbooks, governance frameworks, and change management strategies Impact Measurement & Outcomes * Define and track clear success metrics including: * Multi-product portfolio integration, trade-off decisioning, portfolio scorecards and enterprise checkpoints (OKRs, controls) * Productivity gains and operational efficiency improvements (e.g., 20-50% time reduction) * Cost savings and automation impact * Risk mitigation and compliance enhancements * Client experience and engagement growth * Demonstrate measurable business impact through scalable AI platforms and intelligent workflow transformation To be successful in this role, we’re seeking the following: Required * Bachelor's degree in STEM, Economics, or related discipline * ~10+ years of progressive experience in Applied AI product management, program leadership, or AI-driven platform delivery * Strong understanding of: * Generative AI and LLM-powered systems * Agentic architectures and orchestration frameworks * Distributed systems and microservices * Event-driven design * APIs and integration layers * Metadata indexing and retrieval systems * AI lifecycle management and model performance metrics * Experience operationalizing enterprise-grade AI systems with: * Secure tenant-aware access controls * Observability and telemetry * Production reliability standards * Demonstrated ability to influence senior leadership and drive alignment across large organizations Preferred * Experience in highly regulated industries * Experience operationalizing AI solutions for Big Tech or Fortune 500 enterprises * Certifications: CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, Generative AI specialization. * Advanced degree preferred At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: * America’s Most Innovative Companies, Fortune, 2025 * World’s Most Admired Companies, Fortune 2025 * “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $100,000 and $260,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

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 (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).

Senior Lead AI Engineer (GenAI Platform) 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 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).

Senior Lead AI Engineer,(MLX, Agentic AI, 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $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 (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) 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 * 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 * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling 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).

Sr. 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. 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).

Lead AI Engineer (GenAI 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 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).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) 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 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience 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 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: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Francisco, CA: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior 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).

Vice President, Client Segment Marketing, Wealth Intermediaries At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Client Segment Marketing, Vice President, Wealth Intermediaries to join our Global Client Marketing team. This role is located in New York NY and Pittsburgh PA. In this role, you’ll make an impact in the following ways: • Develop a deep understanding of the assigned client segment(s), including their needs, pain points, and decision-making behaviors., • Create and execute segment-specific go-to-market strategies aligned with business goals and revenue targets., • Partner with Platform, Communications, and Commercial teams to ensure consistent messaging and alignment with business priorities., • Design and execute multi-channel marketing campaigns, including digital, events, email, and account-based marketing (ABM)., • To be successful in this role, we’re seeking the following:, • 5-10 years of B2B marketing experience, preferably in financial services or a related industry., • Proven experience developing and executing marketing strategies for defined client segments., • Excellent written and verbal communication skills, with the ability to craft compelling narratives for sophisticated audiences. At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $81,000 and $169,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

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).

Sr. Distinguished Applied Researcher 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. 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. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * 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. * 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. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 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 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) 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: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher 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).

Distinguished Applied Researcher 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. 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. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * 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 * 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 * Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 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 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience with common training optimization frameworks (deep speed, nemo) * Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs 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: $278,400 - $317,700 for Distinguished Applied Researcher Cambridge, MA: $306,300 - $349,500 for Distinguished Applied Researcher McLean, VA: $306,300 - $349,500 for Distinguished Applied Researcher New York, NY: $334,100 - $381,300 for Distinguished Applied Researcher San Francisco, CA: $334,100 - $381,300 for Distinguished Applied Researcher 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).

Application Deadline: Address: 151 W 42nd Street Job Family Group: Capital Mrkts Sales & Service Provides a combination of deep industry sector expertise, innovative thinking in a team-based approach and world class execution across full equity-linked product suite to clients through an integrated Capital Markets platform using a sector ecosystem approach. Collaborates to generate creative, client-focused solutions to prospective and current clients. • Participates in deal teams to develop, present, and win mandates for new opportunities., • Creates pitch books for clients with respect to financial solutions and participate in their presentation to clients., • Assist in preparing origination / marketing materials to pitch new transaction ideas to clients. You will be involved in the Equity-Linked Capital Markets coverage effort for a variety of corporate clients across industries and countries, • Understand the pricing of various convertible and derivative structures and help with the development of analysis tools, • Utilize financial analysis to proactively identify opportunities to cross-sell, • Monitors client, client industry, and regulatory agencies for potential changes that may affect client portfolio and business needs., • Initiates contact with partners for new client sales., • Directly manages a diverse portfolio of private and middle market companies with progression toward increasing client responsibility., • Reviews and continually monitors performance of existing accounts and client relationships., • Conducts due diligence (e.g. client visits, business model analysis, and comprehensively reviewing industry trends and related regulations)., • Identifies opportunities to diversify client portfolios., • Identifies opportunities for increased efficiency and improved service to internal and external clients., • Provides analytical findings to deal teams., • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders., • Builds effective relationships with internal/external stakeholders., • Ensures alignment between stakeholders., • Uses financial analysis to proactively identify opportunities to cross-sell., • Generates updated financial models / analyses as dictated by business needs and industry requirements., • Analyzes/ assesses industry compilations., • Applies appropriate technical concepts and completes/leads consistent and reliable technical and financial reports/analyses to support client deliverables., • Understands the complexity of transactions and related risk (credit, market, operational, legal/compliance, etc.)., • Provides feedback on, and supports continuous improvement opportunities., • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting., • Provides direction and feedback to Analysts; accountable for development and mentoring of Analysts., • Delivers financial modeling to support strategic recommendations to clients., • Considers risk, internal controls and compliance as part of day-to-day accountabilities and adheres to policies and procedures., • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus., • Exercises judgment to identify, diagnose, and solve problems within given rules., • Development of relationships with buyside, • Works independently on a range of complex tasks, which may include unique situations., • Broader work or accountabilities may be assigned as needed., • Typically between 2 - 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience., • An undergraduate degree with academic coursework in finance, economics, or accounting and an outstanding academic achievement., • 2+ years of investment banking or valuation experience at a financial analyst level., • Knowledge of capital markets, investment banking products and applicable regulations., • Credit analysis experience/ understanding., • Derivatives background/experience helpful, • Good knowledge of the organizational portfolio management policies and objectives., • Demonstrates solid deal/transaction execution and/or project management skills., • Exceptional skills in quantitative analytics, financial modeling and credit analysis skills., • Expertise in financial computer applications and database management tools., • Technical proficiency gained through education and/or business experience., • Ability to work independently and to take initiatives, • Ability to work within a team in a fast-moving, results-driven environment, • Verbal & written communication skills - In-depth., • Collaboration & team skills - In-depth., • Analytical and problem solving skills - In-depth., • Influence skills - In-depth., • Data driven decision making - In-depth. The salary range for this role is $175,000.00 up to $225,000.00 USD (subject to the candidate meeting the specific skills, experience, education, and qualification requirements) Salary: Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: ___ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at ___ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ___ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Application Deadline: Address: 151 W 42nd Street Job Family Group: Capital Mrkts Sales & Service Provides a combination of deep industry sector expertise, innovative thinking in a team-based approach and world class execution across full equity-linked product suite to clients through an integrated Capital Markets platform using a sector ecosystem approach. Collaborates to generate creative, client-focused solutions to prospective and current clients. • Develops written internal and external marketing on pitch material., • Supports deal teams in development, presentation, and winning mandates., • Seeks to develop an understanding of client needs and outcomes., • Provides materials to support an outstanding client experience., • Identifies opportunities for increased efficiency and improved service to internal and external clients., • Provides analytical findings to deal teams., • Assist in preparing origination / marketing materials to pitch new transaction ideas to clients. You will be involved in the Equity-Linked Capital Markets coverage effort for a variety of corporate clients across industries and countries, • Understand the pricing of various convertible and derivative structures and help with the development of analysis tools, • Utilize financial analysis to proactively identify opportunities to cross-sell, • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders., • Builds effective relationships with internal/external stakeholders., • Ensures alignment between stakeholders., • Researches and analyzes company and industry financial and operating information., • Applies technical concepts and understands implication of work to client/transaction., • Develops an understanding of and proficiency in using all required systems and models., • Participates in defining the communication plan designed to positively influence or change behaviour and develops tailored messaging, • Provides feedback on, and supports continuous improvement opportunities., • Integrates information from multiple sources to enable more efficient processes, enhanced analysis, and/or streamlined reporting., • Delivers financial modeling to support strategic recommendations to clients., • Considers risk, internal controls and compliance as part of day-to-day accountabilities and adheres to policies and procedures., • Focus may be on a business/group., • Thinks creatively and proposes new solutions., • Exercises judgment to identify, diagnose, and solve problems within given rules., • Works mostly independently., • Broader work or accountabilities may be assigned as needed., • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations. Qualifications: • Typically between 1 - 3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience., • An undergraduate degree with academic coursework in finance, economics, or accounting with outstanding academic achievement., • Financial analysis training and experience., • 1+ years of successive relevant experience within investment and/or corporate banking., • Derivatives background/experience helpful, • Shows initiative, prioritizes work, multi-tasks effectively., • Excellent analytical skills to include business, financial, and credit analysis areas, • Expertise in using financial computer applications and database management tools., • Skilled in creating statistical presentations., • Creative, insightful, and resourceful., • Strong interpersonal skills within a demanding team environment., • Strong ability to review and assess detailed information daily on multiple projects in an organized manner., • Ability to work within a team in a fast-moving, results-driven environment, • Ability to work independently and to take initiatives, • Verbal & written communication skills - In-depth., • Collaboration & team skills - In-depth., • Analytical and problem solving skills - In-depth., • Influence skills - In-depth. The salary range for this role is $110,000.00 up to $135,000.00 USD (subject to the candidate meeting the specific skills, experience, education, and qualification requirements) Salary: Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: ___ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at ___ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ___ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Applied Researcher I (AI Foundations) 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 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).

Applied Researcher II 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 [choose correct set based on focus of role]: * 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 * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * 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 * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling 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: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II Cambridge, MA: $262,500 - $299,600 for Applied Researcher II San Francisco, CA: $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).

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Stationary) specializes in completing repairs and utilizes preventive maintenance on motors and controls, Programmable Logic Controllers (PLC), pneumatic systems, conveyor systems, and machine shop equipment. The ideal candidate is proficient in the use of diagrams, sketches, operations manuals, manufacturer's instructions, and engineering specifications to resolve malfunctions and maintain equipment. Summary of responsibilities: Locates sources of problems by observing mechanical devices in operation and repair with precision measuring and testing instruments. Determines changes in dimensional requirements of parts by inspecting used parts and using rulers, calipers, micrometers, and other measuring instruments. Ensures the proper functioning of mechanical, electro-mechanical, and electronic equipment by troubleshooting, repairing, maintaining, and calibrating industrial equipment and test equipment throughout Stationary GSE in accordance with approved manuals and procedures. Maintains equipment, parts, and supplies inventories by checking stock to log inventory levels; anticipating need; placing and expediting orders; and verifying receipt. Prepares maintenance reports by collecting, analyzing, and summarizing information and trends. External Applicants Only – Ground Maintenance Technician (Stationary) hired to work at the LGA airport receive a $5,000 sign-on bonus. You will receive $2,500 after 90 days of employment and the remaining $2,500 after 180 days of employment. The minimum starting hourly rate for this position is $36.22 with the ability to increase your hourly rate within 6 months of your start date, based upon premiums offered. Examples include but are not limited to CIMM Certification, Shift differential, and Skill differential. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Qualified candidates must also possess at least one of the following: Electrical/Relay knowledge: Understanding and proficiency in repairing 12 to 50 VAC/DC control circuits, 120 VAC single-phase electrical circuits and control circuits, 480 VAC 3-phase electrical systems. PLC Controls/Network: Proficiency and knowledge of repairing PLC and the associated computer network systems. Allen Bradly PLCS, SLC 500, SLC 5000 and Micro Logix systems. Industrial Maintenance/Conveyor Systems/Passenger Loading Bridges (PLB): Knowledge of system operations for PLB, system operation for conveyor systems and heavy equipment maintenance on hydraulics/electrical/mechanical on large industrial machinery. Industrial A/C refrigeration: Knowledge of high-pressure point-of-use pre-condition air systems, low-pressure glycol chiller systems, and repair and isolate system failures, as well as the related software for both high- and low-pressure control circuits systems. 400 Hz Generator/Inverter Ground Power: Strong understanding of electronic and electrical components and proficiency at identifying problems and repairing and rebuilding them. A background in 400 Hz, testing equipment as needed to perform repair/overhaul, and the ability to read electrical schematics and drawings are required. Familiarity with Jetpower II, Jetpower Plus, and CSI units. Experience operating passive and resistive load banks and working in an electronics environment. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Completion of a two-year degree at a post-secondary technical school or have a minimum of three years of demonstrated ability. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. What will give you a competitive edge (preferred qualifications) Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

This job is with Aristocrat, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Our Field Service Operations team is responsible for providing technical support to drive the success of our customers at Aristocrat Gaming. As a Field Service Technician, you will be part of a team with employees across the United States and Canada. Our team prides itself on Aristocrat’s people-first culture and bringing fun and passion into the work we do daily. Whether it’s driving to a casino, troubleshooting a problem, or installing a new cabinet, we always bring the power of play to life. If you enjoy solving problems, working with a team, and engaging with customers, this is the role for you! We are in search of a hardworking, customer-focused Field Service Technician to join our upbeat team in Field Operations. As a Field Service Technician for Aristocrat Gaming, you will be responsible for troubleshooting, converting, installing, maintaining, repairing, and removing gaming machines, signs, and gaming controllers with little assistance. You will bring immediate value to the organization by ensuring the seamless operation of our customers’ gaming facilities through timely and efficient technical support. This is an entry-level position. You will complete a robust, hands-on, and virtual training program throughout your first 6 months. What You’ll Do Install, convert, troubleshoot, repair, and remove Aristocrat gaming machines, signs, and gaming controllers. Perform routine maintenance on gaming machines. Respond promptly to customer calls and emergency requests, prioritizing critical issues. Complete Pre-Site Surveys, follow the schedule, and perform service activities assigned. Maintain inventory accuracy and follow the parts inventory process. Support customers with technical inquiries and documentation. Report on trends, needs, and service challenges. Review pre-install documents to determine if parts will be needed to complete the installation. Gather and report accurately on service activities by using field service management reporting tools. Uphold high standards of professionalism, integrity, and customer service daily. Self-direct and carry out day-to-day tasks with little direction. Follow Aristocrat’s Safety Guidelines. What We're Looking For High school diploma, GED, or equivalent work experience. At least 21 years of age. Have a clean and valid driver’s license and maintain an insurable driving record. Able to acquire a gaming license as required (Gaming License requirements will vary depending on location). Upon hire, Aristocrat will assist with application, payment, and renewal. Willing to do daily travel in the assigned territory. Regional and national travel may be up to 30%. Self-starter, flexible, adaptable, highly organized, and proactive. Passion for technology and solving problems. Able to remain calm in a fast-paced work environment, prioritize multiple tasks, and accomplish goals. Able to communicate effectively and constructively with customers and coworkers. Preferred Qualifications Experience as a slot technician, field service of technical products, or other diagnostic work. Experience working in the field, being on call, and traveling for work. Experience with electronics, mechanics, and troubleshooting Physical Requirements Can lift and move a minimum of 50 pounds. Able to push up to 250 pounds with the assistance of moving equipment. Able to climb and balance on ladders. Have good manual dexterity, hand/eye coordination, and good eyesight. Able to drive and operate a vehicle for extended periods. Work Conditions Operate designated service vehicles equipped with GPS and real-time camera monitoring systems. Operate a box truck safely and efficiently. Work in a crowded, noisy, and smoky casino environment. Travel with little or no notice and for a possible extended period Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V World Leader in Gaming Entertainment Robust benefits package Global career opportunities Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations Up to 75% Pay Range $22.00 - $32.00 per hour Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity. This position offers a comprehensive benefits package, including health, dental, and vision insurance, paid time off, and a 401(k) plan with employer matching, more details available at . Additional Information This role is subject to mandatory background screening and regulatory approvals. As part of your employment with Aristocrat, you may be required to complete a criminal background check, submit fingerprints, and obtain licenses or registrations with applicable gaming regulatory authorities. Aristocrat operates in a highly regulated environment and holds licenses in over 340 gaming jurisdictions worldwide. To meet our global compliance obligations, you will be required to provide the disclosure of relevant personal and background information to government agencies, sovereign nations/tribal regulators, and other applicable gaming regulatory bodies. This is a condition of Aristocrat’s gaming licenses. The specific information required may vary depending on the jurisdiction and project assignment. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. ]]>

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Mechanic (GMM) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. The GMM (Stationary) is responsible for the maintenance of stabilized stationary machinery and equipment. Your key maintenance functions include inspections, minor troubleshooting, repairing, removing, and replacing components, cleaning, and assembly. This opportunity requires a minimum of 6 months of experience in an industrial powered mechanical environment and an understanding of mechanical, electrical, hydraulic, and pneumatic disciplines as they apply to industrial powered systems. If you have experience as a semi-skilled industrial maintenance mechanic, then this role is right for you. You will perform all routine and non-routine maintenance on the following while reporting any issues to GSE Supervision: Passenger loading bridges (interior, exterior, console, and dock lights) and interior and exterior painting (including bulb and lens replacement). Air handler hoses, adapters, air filters, condensate pans, and indicator bulbs and lenses. Gear boxes, bearings and shafts, roller replacements, belt re-lacing, and belts replacements. Staff’s baggage handling system (BHS) control rooms as well as reconciling bag jams to keep BHS flowing. Ground power cables and associated clamping/saddles. Stationary equipment like water cabinets, loading bridges, air handling systems, baggage conveyor systems, and 400 Hz gate power. Small component repair and build-up of non-specialized components on specialized equipment like air conditioning adapters, water cabinet adapters, baggage carrousel bumpers, and dock light controllers. External Applicants Only – Ground Maintenance Mechanic (Stationary) hired to work at the LGA airport receive a $2,500 sign-on bonus. You will receive $1,250 after 90 days of employment and the remaining $1,250 after 180 days of employment. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other Delta personnel and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Completion of a two-year degree at a post-secondary technical school and/or related Military experience. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Mechanic (GMM) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. The GMM (Stationary) is responsible for the maintenance of stabilized stationary machinery and equipment. Your key maintenance functions include inspections, minor troubleshooting, repairing, removing, and replacing components, cleaning, and assembly. This opportunity requires a minimum of 6 months of experience in an industrial powered mechanical environment and an understanding of mechanical, electrical, hydraulic, and pneumatic disciplines as they apply to industrial powered systems. If you have experience as a semi-skilled industrial maintenance mechanic, then this role is right for you. You will perform all routine and non-routine maintenance on the following while reporting any issues to GSE Supervision: Passenger loading bridges (interior, exterior, console, and dock lights) and interior and exterior painting (including bulb and lens replacement). Air handler hoses, adapters, air filters, condensate pans, and indicator bulbs and lenses. Gear boxes, bearings and shafts, roller replacements, belt re-lacing, and belts replacements. Staff’s baggage handling system (BHS) control rooms as well as reconciling bag jams to keep BHS flowing. Ground power cables and associated clamping/saddles. Stationary equipment like water cabinets, loading bridges, air handling systems, baggage conveyor systems, and 400 Hz gate power. Small component repair and build-up of non-specialized components on specialized equipment like air conditioning adapters, water cabinet adapters, baggage carrousel bumpers, and dock light controllers. External Applicants Only – Ground Maintenance Mechanic (Stationary) hired to work at the JFK airport receive a $ 2 , 5 00 sign-on bonus . You will receive $1, 250 after 90 days of employment and the remaining $1, 250 after 180 days of employment . Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other Delta personnel and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Completion of a two-year degree at a post-secondary technical school and/or related Military experience. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Stationary) specializes in completing repairs and utilizes preventive maintenance on motors and controls, Programmable Logic Controllers (PLC), pneumatic systems, conveyor systems, and machine shop equipment. The ideal candidate is proficient in the use of diagrams, sketches, operations manuals, manufacturer's instructions, and engineering specifications to resolve malfunctions and maintain equipment. Summary of responsibilities: Locates sources of problems by observing mechanical devices in operation and repair with precision measuring and testing instruments. Determines changes in dimensional requirements of parts by inspecting used parts and using rulers, calipers, micrometers, and other measuring instruments. Ensures the proper functioning of mechanical, electro-mechanical, and electronic equipment by troubleshooting, repairing, maintaining, and calibrating industrial equipment and test equipment throughout Stationary GSE in accordance with approved manuals and procedures. Maintains equipment, parts, and supplies inventories by checking stock to log inventory levels; anticipating need; placing and expediting orders; and verifying receipt. Prepares maintenance reports by collecting, analyzing, and summarizing information and trends. External Applicants Only – Ground Maintenance Technician (Stationary) hired to work at the JFK airport receive a $5,000 sign-on bonus. You will receive $2,500 after 90 days of employment and the remaining $2,500 after 180 days of employment. The minimum starting hourly rate for this position is $36.22 with the ability to increase your hourly rate within 6 months of your start date, based upon premiums offered. Examples include but are not limited to CIMM Certification, Shift differential, and Skill differential. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Qualified candidates must also possess at least one of the following: Electrical/Relay knowledge: Understanding and proficiency in repairing 12 to 50 VAC/DC control circuits, 120 VAC single-phase electrical circuits and control circuits, 480 VAC 3-phase electrical systems. PLC Controls/Network: Proficiency and knowledge of repairing PLC and the associated computer network systems. Allen Bradly PLCS, SLC 500, SLC 5000 and Micro Logix systems. Industrial Maintenance/Conveyor Systems/Passenger Loading Bridges (PLB): Knowledge of system operations for PLB, system operation for conveyor systems and heavy equipment maintenance on hydraulics/electrical/mechanical on large industrial machinery. Industrial A/C refrigeration: Knowledge of high-pressure point-of-use pre-condition air systems, low-pressure glycol chiller systems, and repair and isolate system failures, as well as the related software for both high- and low-pressure control circuits systems. 400 Hz Generator/Inverter Ground Power: Strong understanding of electronic and electrical components and proficiency at identifying problems and repairing and rebuilding them. A background in 400 Hz, testing equipment as needed to perform repair/overhaul, and the ability to read electrical schematics and drawings are required. Familiarity with Jetpower II, Jetpower Plus, and CSI units. Experience operating passive and resistive load banks and working in an electronics environment. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Completion of a two-year degree at a post-secondary technical school or have a minimum of three years of demonstrated ability. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

Applied Researcher I 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 [choose correct set based on focus of role]: * 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 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).

Applied Researcher II (AI Foundations) 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).

Sr Distinguished Applied Researcher (World Models) 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. 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. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * 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. * 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. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Member of technical leadership for model deployment for a very large user behavior model * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users 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: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Richmond, VA: $311,900 - $356,000 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher 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).

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 Kinesso, Reprise, 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 The Addressable Activation department serve as KINESSO’s hands-on-keyboard platform experts, focusing on all aspects of successful campaign execution and stewardship. The Manager is accountable for the performance & pacing of their assigned brand(s) and customizes departmental standards & process to fit client needs. They act as a point of escalation and are the go-to experts both internally and externally for matters of complex setup, optimization, and platform nuances. Successful applicants must have a deep expertise across a variety of client KPIs and buying platforms. Examples include DV360, Adwords, The Trade Desk, Roku, Vistar, Facebook, Snapchat, etc. A history of team management/mentorship and a comfort with internal/external-facing communication are a must! Responsibilities · Customer/Client Management: Owns the execution and day-to-day management of a portion of a client assignment, based on specialized or technical knowledge · Vendor Relationship Management: Leads the vendor strategy; has experience and industry knowledge to identify vendors for key needs. Approves vendor selections and scopes · Discipline-Specific Tasks: Owns oversight of junior team members; defines optimization parameters at the campaign level, vets optimization suggestions from partners, attends internal status meetings to speak to optimizations, pacing, and performance · Platform Reporting: Works with team on development of reporting dashboards; ensures clean, accurate, and actionable client reporting · Solutions Innovation: Identifies and delivers new audience-based addressable solutions to drive business growth; masters growth initiatives across the company · Provides day-to-day supervision to a team including reviewing work, coaching on performance, coordinating activities, checking on quality and work progress; generally managing within one account, or multiple small accounts · Evaluates information and leverages experience to identify and solve on-going or complex problems · Requires understanding of the industry, processes, procedures and systems within own and related areas Required Skills & Experience · Proven track-record of successfully seeking out and curating new business relationships and/or solutions; developing solutions using new or existing processes · Experience building team, providing mentorship and navigating how to manage up/down/ laterally (e.g., ability to navigate and be effective with multiple personalities) · Intermediate knowledge of technology or measurement ad tech solutions, including platforms · Intermediate knowledge and skills in data analysis · Confident collaborating with others · Experience with Project / Account Management · Advanced communication skills; clear and succinct communication Desired Skills & Experience · Advanced ability to anticipate, recognize and clearly define problems using various techniques to systematically analyze, weigh alternatives and propose solutions · Experience with managing existing business relationships, partnerships, and alliances internally and externally · Ability to assess and rank issues and tasks in order of importance for taking action · Has gained prior experience in actual situations to recognize recurring meaningful components · Applies a solid foundation to varying situations · Applies advanced knowledge and perceives deviations from the normal pattern 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 of our company 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 .

About the Company Syncarpha Capital is a premier distributed generation solar and storage platform that develops, finances, owns, and operates projects across the U.S. Founded in 2009, the Company combines strong leadership and market expertise with vertically integrated capabilities to manage every stage of the project lifecycle. Strategically focused on states with strong or emerging community solar programs, Syncarpha is positioned to break down barriers to deliver a sustainable, clean energy future for the communities it serves. By joining Syncarpha, you would not only be working with a group of positively driven Senior Management who are highly tenured, but you would also have the opportunity to be mentored by some of the most experienced people in the business. The team also consists of vibrant thinkers, who create an alive social environment - where people really enjoy coming to work. About the Role The General Counsel is the head of Syncarpha Capital’s legal department and is responsible for all legal affairs of the company, including, but not limited to, transactional, governance, and compliance matters. This role involves providing legal counsel to all departments within the organization. In managing the legal department, the General Counsel will have direct reports and will report to the CEO. Responsibilities: • Manage Syncarpha’s legal risk and cost across all aspects of our business - development, construction and permanent financing, tax equity investment/sale of Investment Tax Credits, mergers and acquisitions (M&A), engineering, procurement and construction (EPC), asset management, human resources, and compliance - while executing our business strategy., • Develop, implement, and manage Syncarpha’s compliance program., • Draft, review, negotiate, and close contracts, including:, • Real estate: lease and purchase options and closings, title insurance policies, etc., • Project finance documentation, • Entity formation and tax equity investment, • EPC: turnkey EPC, equipment procurement, engineering services, etc., • Wide array of supporting services agreements to our business: engineering, general consulting, framework agreements, etc., • Provide strategic insight and guidance to Senior Management team., • Grow and manage Syncarpha’s legal department., • Implement and manage Syncarpha’s standard contract language into our contracts in high-risk areas of: human rights, business integrity, etc., • Engage and manage outside counsel for additional legal support with a cost effective and risk mitigated approach (e.g., M&A, real estate, permitting). Qualifications: • J.D. from an American Bar Association accredited law school, • Minimum of ten (10) years of experience directly related to the duties and responsibilities specified above., • Member of the New York State Bar, or member in good standing of the State Bar of another state., • Strong track record of managing attorneys and legal staff., • Prior General Counsel in-house role experience preferred., • Proven experience in (i) construction law and project finance, preferable in each instance in the solar energy sector., • Strong knowledge of power generation, land permitting, power purchase agreements, letters of intent, requests for proposals, and liability issues in an electrical construction environment., • Excellent negotiation, communication, and problem-solving skills., • Proficiency in MS Office including Word, Excel, Outlook, Smartsheet and PowerPoint., • Ability to communicate across a broad spectrum of technical understanding - written, verbal and non-verbal.

Position Summary As Director, Data Management & Visualization, you will be pivotal in managing the E2E data and visualization process including collection, aggregation, QA, processing and visualization for a major client while also serving as a consultant to all Mediabrands stakeholders. In addition to managing the day-to-day data and visualization needs of internal and external clients, this role will be managing a high functioning team of managers and/or analysts/sr. analysts. Key Responsibilities • Business Ownership: Independently run a business unit or portfolio, including full accountability for delivery, quality, and client satisfaction., • New Business Setup: Lead setup from scratch for new accounts/businesses, including systems, processes, and data flow design., • Data Migrations: Manage and execute large-scale data migration projects and comparable complex assignments., • Consistent Processes: Execute consistent processes across Mediabrands clients., • Campaign Naming Conventions: Define and ensure adoption of consistent campaign naming structures across platforms and reporting environments., • Data Integration: Prepare and integrate outside datasets, including first-party and non-standard digital inputs, into analytics workflows., • Data Quality & Anomaly Detection: Implement QA processes and anomaly detection to safeguard data integrity across all deliverables., • Leadership Skills and Stakeholder Management:, • Engage with senior clients, internal leaders, and cross-functional teams to drive adoption of data solutions., • Ensure quality work output from onshore/offshore teams, • Media Platform Knowledge:, • Campaign Management: CM360, DSPs., • Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn, X., • Search: SA360, Bing, Google Ads. Required Skills Technical Skills: • Deep understanding of end-to-end data flow, APIs, databases, and BI tools., • Visualization and dashboard creation experience; Tableau preferred., • Strong BI tool skills (Alteryx, Power BI, KNIME, etc.); Tableau Prep preferred., • Database experience (Snowflake preferred)., • Understanding of taxonomy creation and execution Media Platform Knowledge: • Campaign Management: CM360, DSPs., • Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn, X., • Search: SA360, Bing, Google Ads. Leadership Skills: • Proven experience in management of multiple team members, • Ability to provide feedback & guidance in a constructive manner to direct reports, • Demonstrate collaboration, including ability to drive clarity in a multi-stakeholder environment Desired Skills & Experience • 7+ years of experience in agency or client-side digital media planning or media analytics, • Presentation development and delivery, • Strong written and verbal communication, • Ability to engage, develop, and give feedback to drive success of colleagues not reporting to you directly Desired Skills & Experience • 10+ years of experience in agency or client-side digital media, data management, or media analytics., • Strong presentation development and delivery skills., • Excellent written and verbal communication., • Demonstrated ability to influence, engage, and develop colleagues (direct and indirect reports)., • Experience driving innovation and implementing scalable data/reporting solutions at enterprise scale. 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 our 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 with Mediabrands, please email . Salary Range $140,000—$160,000 USD

Job Title: Equity Research Associate – Power Technology and Infrastructure Location: New York, NY Firm Overview: Cantor Fitzgerald, with over 16,000 employees, has been a leading global financial services firm at the forefront of financial and technological innovation since 1945. Cantor is a preeminent investment bank serving more than 5,000 institutional clients around the world, recognized for its strengths in fixed income and equity capital markets, investment banking, SPAC underwriting, PIPE placements, commercial real estate, and its global distribution platform. Capitalizing on the firm’s financial acumen and technology prowess, Cantor’s portfolio of businesses also includes Prime Brokerage, Asset Management, and other businesses and ventures. Cantor operates trading desks in every major financial center globally, with offices in over 30 locations worldwide. As one of the few remaining private partnerships on Wall Street, Cantor has the distinct ability to focus on long-term value creation and strong relationship building. Our structure allows us to respond quickly to client needs, develop solutions to complex challenges, and attract talented individuals driven to succeed in a collaborative, entrepreneurial environment. Responsibilities: Cantor Fitzgerald is seeking a highly motivated Equity Research Associate to join its Industrials and Infrastructure research team in New York City. This role offers the opportunity to work closely with a senior analyst covering leading companies in the sector and to contribute meaningfully to research used by top institutional investors. The position provides strong exposure to company management teams, institutional clients, and internal partners in a fast-paced, intellectually demanding environment. Key responsibilities include: • Assisting in the preparation of comprehensive equity research reports on companies within the Industrials and Infrastructure sectors, • Building, maintaining, and updating detailed financial models, forecasts, and valuation analyses, • Conducting primary and secondary research, including channel checks, expert interviews, and broader industry analysis, • Participating in meetings and calls with company management teams and industry experts, • Collaborating with sales and trading professionals to communicate research insights to institutional clients, • Attending investor meetings and industry conferences to enhance sector knowledge and support relationship-building Qualifications: Educational Qualifications: • Strong academic background with demonstrated analytical and quantitative capabilities, • Experience or demonstrated ability in financial modeling, valuation techniques, and investment research, • High attention to detail with strong written and verbal communication skills, • Intellectual curiosity, persistence, and a proactive, self-starting mindset, • Ability to manage multiple projects and deadlines in a fast-paced environment, • Prior full-time experience in equity research, investment banking, or a related financial role, • CFA designation or active candidacy is a plus Salary: $120,000 – $130,000 The actual base salary will be determined on an individualized basis considering a wide range of factors, including but not limited to relevant skills, experience, education, and, where applicable, licenses or certifications held. In addition to base salary and a competitive benefits package (including health, vision, and dental insurance, paid time off, and a 401(k) retirement plan), this position may be eligible for additional compensation, including discretionary bonuses and other short- and long-term incentives (e.g., deferred cash, equity, etc.). We do not accept unsolicited resumes, candidate referrals, or outreach from third-party recruiters or staffing agencies. Any such submissions will be considered property of Cantor Fitzgerald and will not be eligible for any placement fee. Recruiters must have a signed agreement with our Talent Acquisition team and be invited to submit candidates for a specific role. Direct contact with hiring managers or employees is strictly prohibited.

About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 22 sequential quarters of growth with $406.2M in Q2 FY26 revenue, up 4.2% Q-o-Q and 17.6% Y-o-Y growth. Our 26,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025 About Position: Role: Business Analyst Payment Domian • Location: Jersey City , NJ, • Experience: 8+ yrs, • Job Type: Full Time Employment, • Mandatory Mention 3 skills: Business Analysis, experience in payments, Complex EX systems What You'll Do: • Migration from Domestics WIRES, • Corresponding Banking Relationship, • Tokenized Deposit, • Vendor API for international Payments., • Blockchain (Nice to Have- one of the 2 BA Position, we would like to have one with TD), • Self-Starters. Expertise You'll Bring: • People with experience in payments., • Complex EX systems, • Payments Experience - Nuances of payments on the job., • I know MT, ISO - they specialize in some payment types, • Integrated Banking Building payments systems - with network, SWEIT, they have done migrations, • Building from scratch is easy, migration is a big challenge., • Will work in International Payments., • Have very good understanding and difference/ between FED, CHIPS Benefits: • Competitive salary and benefits package, • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications, • Opportunity to work with cutting-edge technologies, • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, • Annual health check-ups, • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. • We support hybrid work and flexible hours to fit diverse lifestyles., • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities., • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let’s unleash your full potential at Persistent - persistent.com/careers For more detail, please contact – Aditya Dakhane () “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Healthcare Business Intelligence & Analytics Analyst -Information Technology Location: 620 Foster Avenue Brooklyn, NY 11230 Hours: Full Time Premium Health Center, a rapidly growing FQHC in Brooklyn, is seeking a detail-oriented and analytical Business Intelligence (BI) Analyst to join our growing Data & Analytics team. This role blends data analysis with light data engineering to build robust data pipelines, deliver actionable insights, and create high-quality reporting and analytics. The BI Analyst will play a key role in transforming raw data into actionable insights that will directly inform strategic, clinical, operational, and financial decisions across the organization. Time Commitment: Full Time, Hybrid Eligible Responsibilities: Analytics, Visualization & Storytelling · Design, develop, and maintain dashboards, reports, and data visualizations in Power BI (or similar tools) · Apply data visualization and storytelling best practices to create intuitive, user-friendly dashboards. · Translate complex healthcare data into clear, actionable insights that support decisions for clinical, operational, finance, and executive teams. · Develop and maintain semantic data models, KPIs, and performance metrics aligned with FQHC goals. · Collaborate with stakeholders to gather requirements and recommend effective analytical and visual solutions. · Analyze healthcare data from EHR systems (e.g.,eClinicalWorks, Office Practicum, etc) and other sources to identify trends, gaps, and opportunities for improvement. · Support UDS (Uniform Data System) reporting and other regulatory compliance requirements. · Create sustainable reporting frameworks for recurring healthcare and operational metrics. Data Engineering &Pipeline Support · Build and maintain light ETL and data integration tasks using SQL, APIs, and scripting tools. · Write and optimize SQL queries to support analysis, dashboards, and data pipelines. · Perform data wrangling, cleaning, validation, and transformation to prepare datasets for analysis and reporting. · Ensure data integrity, accuracy, and security in all reporting and data engineering workflows. · Perform data validation, reconciliation, and root-cause analysis for data quality issues. Collaboration and Data Literacy · Collaborate with clinical, operational, and executive teams to understand business needs and translate them into technical solutions. · Provide training, documentation, and support to improve data literacy and promote appropriate self-service use of organizational dashboards. · Collaborate with IT and data teams on architecture, governance, and data quality initiatives. Requirements: · Bachelor's degree in Data Science, Public Health, Health Informatics, Computer Science, ora related field. · 4+years of experience in a BI, data analyst, or similar role, preferably in a healthcare or FQHC setting. · Strong proficiency in SQL, including complex joins, window functions, and data transformations · Hands-on experience with Power BI, or similar BI platform, including DAX, data modeling, and visualization design. · Experience working with scripting languages (Python, R, etc) and APIs to support data integration and automation. · Experience with semantic data modeling in Power BI. · Strong analytical, critical thinking, and problem-solving skills. · Excellent communication and data storytelling skills with the proven ability to present insights to non-technical audiences. · Detail oriented with strong data troubleshooting and validation skills. · Highly organized, with the ability to manage multiple tasks and deadlines. · Self-starter who works independently and collaboratively. · Ability to partner cross-functionally across clinical, operational, financial, IT, and data teams. · Fast learner with adaptability to evolving tools and organizational needs. · Strong commitment to high standards of data quality, accuracy, and confidentiality. · Familiarity with HIPAA or other similar data privacy standards. Preferred: · Experience with Microsoft Azure, Fabric, Purview, or similar cloud platforms. · Experience with Power Automate or similar tool for basic workflow automation. · Familiarity with Git or similar version control tools. · Experience with EHR systems (eCW, Office Practicum, etc,). · Understanding of healthcare data, including clinical, operational, and financial metrics. · Experience with UDS reporting or other healthcare regulatory or quality metrics. Compensation: $110,000 - $145,000, commensurate with experience Benefits: · Medical, Dental, Vision and Life coverage · Paid Time Off and holidays · Employee Assistance Program · Flexible spending account · Public Service Loan Forgiveness (PSLF), NHSC Loan Repayment Program · 403(b) Retirement Plans with employer matching

Business Overview We believe in the power of media to reshape our industry and orchestrate a brand’s entire consumer experience, by balancing both what unites people and what makes them different. When brands unite people in culture, they build Fame, and when brands connect individuals to their unique journeys, they build customer Flow. Initiative builds Fame & Flow for brands like Amgen, AstraZeneca, Bayer, BMS, Gilead, Merck and more. Media responsibility is at the forefront of everything we do, whether it’s creating media plans that reflect the diversity of our communities, promote brand safety, and foster sustainability. Our agency celebrates diversity in an inclusive environment where all of our 6,000+ strong talent across 90+ markets feel seen, heard, and valued. Our vision is to create not only a better media company, but also a better media industry, and maybe even a better world. We make a promise to our people that we double down on seeing, celebrating & elevating all the things that make you, uniquely you. And just as we do for our brands and clients, we connect our people to the journeys that matter in building a meaningful career. There are four I’s in Initiative and these represent our core values and behaviors. • INDIVID[YOU]ALITY – you bring your genuine and unique self to and into the work, every day., • INSTINCT – you’re tuned in and armed with intelligence; you have a bias for action – shit happens when you’re around., • IMPACT! – you care deeply about the impact you have on our clients, their customers, our community, the media landscape and our world at large., • IMAGINATION – your ability to imagine and bring to life the ideas, solutions, and the future of Initiative, makes us THE create media agency in the world. Position Summary As a HCP Strategy Director, you are responsible for the creation of the strategic direction a brand will take in communications to achieve their business goals. You are responsible for helping to strategize, produce and make sense of the key data, HCP behaviors, and market intelligence required to design the best possible holistic communications plan to deliver on that task. This work should be held up as best practice both within the agency and externally – recognized by winning awards and client scores. You are responsible for creating the strategic recommendations and engaging with the client in an advisory capacity. You will report to the Client Lead to deliver brilliant strategic thinking for the client team. Creative thinking, sound presentation skills & leadership behaviors are critical in delivering success in this role. Your work drives re-appraisal of communications and what media can do in the world, and your work will be seen as driving the agency forward. Responsibilities • Maintaining excellent client relationships & understanding of the clients' key business and challenges, • Be the knowledge expert with solid understanding of Pharma, Prescription drugs, marketing, • Have previous knowledge of professional media channels directed to Healthcare Professionals, • Should have strong abilities of Data Analytics and use of AI tools, using platforms leveraging Agentic AI and so on., • Being considered a valuable contributor during client meetings with the ability to challenge others’ opinions in the right forum/manner, • Delivering innovative thinking that inspires leading edge solutions and award-winning breakthrough work – best in class work as standard (internally & externally), • Arming the client team with knowledge & expertise to speak confidently about the strategic direction where required, • Measurable client & strategy business KPIs, • Identify, develop & oversee the delivery of unique and innovative strategies to deliver the client’s desired results, • Clearly demonstrate how the strategy delivers on the business need and focus on results and measurement, • Write cohesive communications architectures that deliver on the platform and give guidance for how the brand will play in culture, • Train, guide & assist the Strategy & Client teams in development and packaging of ideas, • Use qualitative and quantitative communications AI based tool research to develop applicable insights to drive connection with the brand, • Partner with Analytics to develop new tools, inputting into the development of new & cutting edge proprietary planning, research and reporting models for Initiative Required Skills & Experience • 8+ years in integrated planning role in with at least 3+ years in Healthcare and HCP media, creative, innovation or communications discipline (digital, content, invention, social, activation), • Ability to think differently: creative & adaptive, entrepreneurial, independently minded; deeply immersed in cultural understanding and driven by a desire to know more the world / to better understand people’s motivations & behaviors in the shifting landscape Desired Skills & Experience • Confidence in audience segmentation – the ability to develop and profile audiences for strategic opportunity., • Knowledge of key media tools such as M3-MI/ IPSOS/ MRI/Simmons (survey dashboards), comfort in resources such as Mintel, WARC, • Knowledge of media landscape and key publishers, partners, and vendors, especially endemic health channels for HCPs and Patients, • Experience in (or interest in) managing and developing junior talent 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 our 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 .

Role Overview We are seeking a technical, collaborative operational lead to own our Dynamic Creative Optimization (DCO) and audience strategies. This role serves as the connective tissue between Creative, Media, and Data teams—overseeing the data feeds, audience matrices, and platform configurations that power programmatic display and retargeting. This position focuses on DCO feed management, audience architecture, and technical activation, rather than hands-on HTML or creative development. Key Responsibilities • Dynamic Creative & Feed ManagementOwn the DCO Ecosystem: Develop, deploy, and maintain DCO feeds for programmatic display. This includes managing the feeds used to dynamically serve ads (images, copy, click-throughs) for manual feed populations, OBS promotions, and New Product Introductions (NPIs)., • Google Studio (Feed & DCO Operations): Serve as the primary operator within Google Studio, managing DCO feed setup, data mapping, validation, deployment, and QA. This role is responsible for feed logic and creative delivery—not HTML or template development., • Retargeting Feeds: Maintain product retargeting feeds to ensure they reflect new SKUs on LG.com, utilize unique product title formulas, and incorporate the latest creative asset changes., • Automated Asset Management: Manage the creation of image assets (with CSG) to support Dynamic Retargeting banners and other automated banner initiatives., • Technical Ad Operations & Measurement, • Audience Architecture: Build and maintain Floodlight configurations and audience matrices. You will manage the creation of Floodlight activities within Campaign Manager and audiences within Google Analytics to support targeting and measurement., • Platform Expertise: Apply a strong working knowledge of the Google Marketing Platform (GMP) to support trafficking, measurement, and reporting., • QA & Monitoring: Pull daily dynamic creative reports from Campaign Manager to confirm correct creative delivery. Monitor product feed updates via Google Studio to catch new SKU additions and coordinate resized image asset requests., • Project Management & Cross-Team Leadership, • Lead DPR Projects: Lead the implementation of the Dynamic Product Retargeting (DPR) banner project. This involves managing cross-team inputs (CSG Asset Creation, Creative Ad Tech Solutions, Brand Messaging, Ad Ops trafficking) and overseeing post-launch QA., • Stakeholder Management: Provide "always-on" communication support across DG, Media, Ad Ops, Data Ops, and Analytics teams. You will oversee audience creation and deployment across these functions., • Documentation: Maintain the Programmatic DCO Creative Tracker and "Always On" Programmatic Banner screenshot decks. You are responsible for documenting all active creatives and reporting labels, and ensuring creative priorities are communicated clearly to DG and Media teams., • Qualifications & SkillsTechnical Expertise: Advanced proficiency in Google Studio and Google Marketing Platform (Campaign Manager 360, Display & Video 360)., • Data Fluency: Experience building and managing complex data feeds (XML, CSV, Google Sheets) and audience matrices., • Analytics: Working knowledge of Google Analytics for audience creation and retargeting verification., • Process Oriented: Strong documentation skills with the ability to manage creative trackers and QA logs (e.g., Excel, Jira, Smartsheets)., • Collaboration: Proven ability to work cross-functionally, specifically bridging the gap between creative designers and technical ad operations teams.

Our client is one of the largest fully integrated providers of cutting-edge, turnkey clean-energy solutions in the U.S. As the business continues to expand its platform, they are seeking a Senior Counsel to support complex project acquisitions, divestitures, and commercial agreements across the portfolio. This role reports to the VP, Legal and offers the opportunity to work at the center of the company’s transaction activity, partnering closely with development, finance, and leadership teams to help advance projects from origination through financing and closing. For attorneys who enjoy the commercial side of the renewable energy industry, this is an opportunity to work on real transactions in-house, shaping deals that directly impact the growth of the platform. Key Responsibilities The Senior Counsel will provide legal leadership across a wide range of transactional matters related to renewable energy project development and acquisitions. Responsibilities include: • Advising the M&A and development teams on the structuring and execution of renewable energy acquisitions and dispositions., • Drafting, negotiating, and managing transaction documentation including membership interest purchase agreements (MIPAs), asset purchase agreements (APAs), and related transaction agreements., • Identifying and mitigating legal risks associated with project acquisitions, sales, and development activities., • Partnering with cross-functional teams across development, real estate, finance, interconnection, and policy to support project transactions and financing structures., • Negotiating additional commercial agreements related to renewable energy development, including power purchase agreements (PPAs), joint ventures, interconnection agreements, subscriber agreements, and operations contracts., • Supporting project financing activities including coordination with lenders, investors, and internal finance teams., • Developing and improving internal processes, templates, and tools that streamline diligence, negotiation, and closing of transactions., • Managing external counsel and ensuring effective collaboration between internal and outside legal teams., • Providing legal support across the lifecycle of renewable energy assets, from origination through financing, ownership, and operations. Candidate Profile The successful candidate will be a commercially minded attorney with strong transactional experience and a demonstrated interest in the renewable energy sector. Preferred qualifications include: • Juris Doctor (JD) from an accredited law school with a strong academic record., • Approximately 6–8+ years of relevant legal experience, ideally combining top-tier law firm training with in-house or transactional exposure., • Deep familiarity with M&A transactions in the energy or infrastructure sector, particularly involving project acquisitions or asset sales., • Significant experience drafting and negotiating MIPAs, APAs, and related purchase and sale agreements., • Experience supporting renewable energy development or infrastructure transactions is strongly preferred., • Familiarity with project finance, tax equity, or construction financing structures is beneficial., • Ability to translate complex legal considerations into practical guidance for business teams., • Strong judgment, commercial awareness, and problem-solving skills., • Ability to manage multiple transactions simultaneously in a fast-paced environment., • Excellent communication, organization, and project management abilities., • Admission to practice law in the relevant state or eligibility to register as in-house counsel.

Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 130 countries. At Cint, we are committed to innovation and are rapidly expanding our portfolio of data solutions to power the next generation of insights. We are looking for passionate, results-oriented leaders to join us on this journey. Job Description The Role This is a strategic, high-impact opportunity to own and build the future of data at Cint. As the Principal Product Manager for Data Innovation, you will be responsible for defining and executing the product strategy for our emerging synthetic data and data collaboration products. This role requires a unique blend of deep technical understanding, commercial acumen, and a "build-from-scratch" entrepreneurial mindset. You will be the company's subject matter expert, partnering closely with R&D, data science, and commercial leadership to bring a new category of products to market. What You Will Do * Own the Product Vision: Develop and promote a multi-year product vision for Cint's Data Innovation portfolio. This includes synthetic data products and other new data collaboration solutions. You will be responsible for driving key business KPIs, such as product adoption, revenue, and market penetration. * Tell the Story: Masterfully articulate the "why" behind your product strategy. Bring complex customer and technical problems to life, inspiring and aligning senior leadership and the broader organization around your vision. * Execute with Excellence: Conduct thorough opportunity assessments, backed by data and customer research, to validate assumptions and prioritize initiatives. Author clear, comprehensive product requirements and partner with R&D leadership to navigate complex technical trade-offs. • Partner to Win: Build strong, trusted relationships with key stakeholders across R&D, Data Science, Commercial, Legal, and Marketing to ensure cross-functional alignment and a successful go-to-market. Qualifications What We Are Looking For * Proven Product Leader: You have a proven track record of launching and scaling complex data products, platforms, or services from concept to market. * Customer-Obsessed: You are an expert in translating customer problems from the ResTech and data space into clear, well-structured product requirements, backed by data and qualitative insights. * Technical Data Expertise: You have direct experience managing the full lifecycle of AI/ML products: building, training, and fine-tuning models (e.g., LLMs). You have a solid understanding of the processes used to create, validate, and filter large-scale synthetic datasets and are comfortable discussing the trade-offs of alignment techniques (e.g., SFT, RLHF). • Exceptional Communicator: You possess outstanding written and verbal communication skills and are seen as an expert storyteller. You can effectively partner with senior leadership and are skilled at managing complex stakeholder maps. Why Join Us? * Strategic Impact: You will be building a new, high-growth business line that is central to Cint's long-term strategy. * Innovation: You will be on the cutting edge of ResTech and data technology, solving novel problems with a world-class R&D team. * Global Reach: Cint is a global company with a distributed, flexible, and collaborative culture. * Ownership: We empower our product leaders. You will have the autonomy and accountability to make a measurable impact on the business. Additional Information The anticipated pay range for this role is $175,000 to $218,000 annual base salary. In addition, this position is also eligible for the following benefits: • Medical, Dental, and Vision insurance options to suit you and your family’s needs, • 401K with company matching, • PTO, unlimited sick days, • Remote Work, • Paid maternity and paternity leave, • Annual bonus opportunity Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. () Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.

We are seeking a high-caliber Vice President or Senior Vice President to join a leading global alternative asset manager as a Product Specialist. This is a pivotal, client-facing role within the Investment Specialist team, focused on driving fundraising and business development for a premier Infrastructure, Renewable Power, and Energy Transition platform. As an expert on the firm’s flagship and specialized fund offerings, you will serve as the bridge between the investment desks and the global investor community. This role offers significant exposure to institutional investors, consultants, and private wealth channels across the Americas, EMEA, and APAC. Key Responsibilities • Subject Matter Expertise: Act as the primary technical resource for Infrastructure and Transition strategies. Attend internal investment and asset management meetings to translate complex deal flows into compelling narratives for the market., • Global Fundraising: Lead and participate in global roadshows, investor conferences, and bespoke prospect meetings. You will be a key face of the firm, requiring frequent international travel., • Strategy & Product Launches: Partner with senior leadership to design and execute fundraising strategies for new product launches, ensuring momentum and high-quality market positioning., • Investor Relations & Messaging: Collaborate with Relationship Managers (CRMs) to refine product messaging, ensuring it resonates with diverse investor profiles and evolving market conditions., • Content Partnership: Work closely with Marketing and Fundraise Management teams to create high-impact investor materials, including technical presentations, white papers, and market commentaries., • Strategic Growth: Support the build-out of new distribution capabilities, researching new markets, investor types, and innovative product structures. The Ideal Candidate • Experience: 7+ years of professional experience within Real Assets. Backgrounds in Investing, Asset Management, Investment Banking, or Investor Relations are highly preferred., • Communication Mastery: Exceptional ability to distill technical, complex investment concepts into clear, persuasive communications for a sophisticated client base., • Relationship Focus: Proven track record of building and maintaining long-term trust with institutional or private wealth investors., • Commercial Acumen: A self-starter who proactively identifies market opportunities and possesses the "follow-up" discipline required for long-lead fundraising cycles., • Collaborative Mindset: Ability to navigate a high-performance, matrixed environment and work seamlessly across investment, marketing, and legal teams.

Product Manager, Internal Systems & Operations Location: New York, NY, USA Company: AROS Group About Us At AROS Group, a multi-material design-to-manufacture organization headquartered in New York with offices across the globe, we don’t just build products — we redefine industries. We are innovators, challengers, and builders of the future. With a global footprint and a reputation for excellence, we thrive on solving problems that others shy away from. Now, we are building the next generation of operational infrastructure for luxury packaging — a connected suite of internal and client-facing platforms designed to transform how our teams collaborate, deliver, and scale globally. Our group is expanding, and we’re seeking exceptional talent to help shape this next chapter. The Role We’re looking for a Product Manager, Internal Systems & Operations who is more than just a planner — someone who can translate complexity into structure, align teams around execution, and deliver systems that power real operational change. This is a greenfield product role. Today, many of our operational workflows live across Excel, Salesforce, email threads, and institutional knowledge. We are consolidating these processes into a unified internal platform that will power how projects, samples, supplier coordination, and client communication operate globally. You will own the product vision and delivery roadmap for our employee portal and the emerging client and supplier portals, working directly with technical leadership and cross-functional teams to define, prioritize, and ship product increments that transform how AROS operates. Beyond core platform development, you will also contribute to ad-hoc operational and strategic initiatives across the company. This role requires someone who is proactive, sharp, and able to think ten steps ahead — anticipating challenges, identifying opportunities, and moving with clarity and intention. We are not looking for someone to simply manage a backlog. We are looking for someone who can help design the systems our company will run on. What You’ll Do Product Strategy & Roadmap • Define and maintain the product roadmap for internal portals and future client and supplier-facing platforms, aligned to business priorities and phased rollout milestones., • Translate ambiguous internal requests into structured Product Requirement Documents (PRDs) and detailed feature specifications., • Define acceptance criteria, edge cases, and non-functional requirements — including performance, permissions, and data integrity — enabling engineering teams to ship with confidence. Delivery & QA • Lead User Acceptance Testing (UAT) cycles end-to-end: authoring test scripts, coordinating testing across business teams, logging and triaging defects, and owning release sign-off., • Drive phased product rollouts with strong change management, including release notes, onboarding materials, training sessions, and adoption tracking., • Partner with engineering to scope ETL migrations as legacy operational data moves from Excel and Salesforce into the new platform ecosystem. Stakeholder & Change Management • Serve as the primary product contact for internal users, facilitating feedback loops and managing expectations across departments., • Own internal product documentation including training guides, SOPs, and release communications tailored to mixed technical and non-technical audiences., • Build trust across a diverse global team by shipping reliably and communicating proactively. Strategic & Ad-Hoc Initiatives • Support leadership on strategic operational initiatives beyond the core product roadmap., • Identify process inefficiencies, operational gaps, and opportunities for automation or system improvements., • Approach complex challenges with a forward-looking mindset, anticipating dependencies, risks, and downstream impact. Who You Are • A Product Manager or Technical Program Manager with 1–4 years of experience, ideally in enterprise SaaS, internal platforms, or B2B product environments., • Demonstrated ability to write clear, structured PRDs and feature specifications that engineering teams can execute without ambiguity., • Comfortable navigating relational data models, with working knowledge of SQL., • Familiar with JavaScript, React, and REST APIs, with the ability to read components, understand data flows, and engage credibly with engineers on scope and feasibility., • Experience owning a product backlog and running agile workflows in tools such as Azure DevOps, Jira, or similar platforms., • Strong written communication and documentation discipline., • Comfortable using Excel and PowerPoint as operational tools, not just presentation tools., • Proactive, quick-thinking, and intellectually curious, with the ability to anticipate problems before they arise., • A systems thinker who approaches challenges with a 10-steps-ahead mindset, balancing speed, precision, and long-term impact. Nice to Have / Differentiators • Experience prompting or integrating LLMs and building internal prototypes using AI-assisted development tools such as Cursor or GitHub Copilot., • Experience using AI to accelerate specification writing, test generation, or data analysis workflows., • Prior exposure to Salesforce, SAP, or similar enterprise platforms, particularly in migration or consolidation contexts., • Familiarity with operational workflows in made-to-order, sample-driven, or client-specification B2B environments., • Understanding of Azure, CI/CD concepts, GitHub workflows, or API fundamentals., • Experience with Supabase or similar managed backend platforms., • Experience guiding non-technical teams through system transitions, including training, communication planning, and adoption measurement., • Ability to write lightweight scripts for data transformation, automation, or ETL validation. Why AROS Group • Shape the operational systems powering a global luxury packaging company., • Work at the intersection of design, manufacturing, and technology in a fast-growing organization., • Collaborate with world-class teams across New York, Europe, and Asia., • Be part of a culture that prizes precision, execution, and innovation — no compromises., • Competitive salary, comprehensive benefits, and strong opportunities for career growth. The Challenge This isn’t a role for someone who wants to maintain the status quo. You will be building systems that reshape how a global company operates — defining processes, driving adoption, and solving operational complexity at scale. We expect speed, rigor, and strategic thinking. You will need to anticipate challenges before they appear, navigate ambiguity with confidence, and deliver solutions that move the organization forward. If you thrive on translating ambiguity into structure, aligning teams around execution, and shipping products that make organizations run better, this is your stage. How to Apply Send your CV and a cover letter that proves you’re not just another candidate — but the candidate — to with the subject line: “Product Manager – New York.”

Scott+Scott Attorneys at Law LLP is seeking a full-time, experienced paralegal to support attorneys at a fast-paced, team-oriented firm in its Manhattan office. The right candidate is a self-starter and has experience with complex litigation and plaintiff firms, especially in the areas of antitrust, securities, and consumer class actions. It is crucial that the candidate be a quick responder and a good communicator. They will be working with attorneys and paralegals in other S+S offices, primarily through email and over the telephone, as well as sharing documents through our platform. The candidate will handle their own case load where they will be responsible for familiarity with their cases and any upcoming deadlines. Must be detail-oriented and have superior organizational skills with the ability to prioritize high-volume work in a dynamic environment. The candidate must have strong grammar and editorial skills as well as experience in proofreading and conforming cites to the BlueBook rules. The S+S paralegals’ role is to review briefs and other documents, specifically, proofreading and cite checking, occasionally drafting supporting documentation, and finalize, file, and serve them, as well as assist attorneys with discovery and case management. They are also responsible for proofreading, fact-checking, and filing complaints. Once filed, they also handle the service of the complaint and monitor the status of same, keeping the attorneys apprised during the process. Since we file complaints in courts across the country, candidates should be familiar with, or be able to determine, pro hac vice procedures in a variety of courts and know how to prepare the paperwork for same. Must also be an experienced e-filer, able to follow court procedural rules for state and federal courts across the country, researching procedures as necessary. May also be called upon to perform factual research, background checks, or other case-related activities as assigned by an attorney. ESSENTIAL JOB FUNCTIONS • Provide support to multiple partners and associates while working under the guidance of a Paralegal Manager;, • Proofread and cite check all legal documents;, • Complete projects on time and accurately;, • E-filing in federal and state courts; and, • Be willing and available to work overtime (as needed). REQUIRED EXPERIENCE & QUALIFICATIONS • 3 years' minimum of relevant experience as a paralegal., • Knowledge of Bluebook citation procedure and other rules outlined in Bluebook;, • Proofreading and editorial skills, and advanced grammar knowledge;, • Considerable knowledge of technical legal terminology;, • Considerable knowledge of legal processes and procedures;, • Microsoft Office 365 and Kofax Power PDF;, • Bloomberg, Westlaw, LexisNexis File & Serve, Pacer, Courtdrive, and electronic filing procedures (both federal and state); and, • Experience with SharePoint document management system. EDUCATION REQUIREMENT • Bachelor’s Degree, and, • Graduation from an ABA-approved program of study for paralegals, or, • Graduation from a course of study for paralegals which is institutionally accredited but not ABA approved, and which requires not less than the equivalent of 60 semester hours of classroom study. DESIRED SKILLS AND ABILITIES • Strong written and verbal communication skills, able to communicate effectively and in a professional manner with all levels of the Firm and outside vendors;, • Ability to work in a diverse team environment and effectively support the demanding needs of the Firm;, • Ability to work under pressure, meet deadlines with shifting priorities;, • Must be a self-starter with a high level of initiative;, • Strong customer service skills and able to anticipate needs;, • Strong attention to detail, organizational skills and the ability to handle multiple projects;, • Maintains confidentiality and exercises discretion;, • Exercises solid strategic thinking and problem-solving skills; Candidates will be tested on proofreading, grammar, punctuation, fact checking, and cite-checking skills at the time of the interview. Compensation The annual salary range for this Hourly, Non-Exempt, OT eligible position is $92,000 - 130,000. Salary determination will depend on the candidate's experience and qualifications. Benefits Scott+Scott Attorneys at Law LLP offers a generous package of benefits with the intention of providing their employees with programs and resources that can improve their quality of life. The following benefits create added value to the work experience and make us a premier employer: • Health, Dental and Vision Insurance, • HSA, • Firm provided Short- and Long-Term Disability coverage, • Life Insurance, • Supplemental Insurance coverage for Accident, Hospital and Critical Illness, • Pet Insurance, • Care service resources for children and adults, • 401K with Matching, • Parental Leave @ 100% pay, • Additional Paid Family Leave, • Paid Time Off (PTO), • 10 paid holidays observed throughout the calendar year ABOUT US Scott+Scott is an international law firm known for its expertise in representing corporate clients, institutional investors, businesses, and individuals harmed by anticompetitive conduct or other forms of wrongdoings, including securities law and shareholder violations. With 140 attorneys in eight offices in the United States, one office in Canada as well as three offices in Europe, our advocacy has resulted in significant monetary settlements on behalf of our clients, along with other forms of relief. Our highly experienced attorneys have been recognized by Lawdragon for being among the 500 Leading Financial and 500 Leading Global Antitrust Lawyers in 2025, as well as by WWL: Commercial Litigation 2024, and Legal 500 in Antitrust Civil Litigation. Additionally, we have repeatedly received top Chambers rankings and have been recognized by the American Antitrust Institute for the successful litigation of high-stakes anticompetitive claims in the United States. To learn more about Scott+Scott, our attorneys, or complex case resolution, please visit . To learn more about our Canada litigation, please visit: Equal Opportunity Policy Statement Scott+Scott Attorneys at Law LLP 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.

About Us: Founded in 1992, Cerberus is a global leader in alternative investing with approximately $67 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at . What is Cerberus Ventures? “Great-power competition” has changed – Visionary commercial technology is the new battleground, and nations are increasingly directing resources toward longer-term, existential challenges, from energy and food security to public health, labor productivity, and national security. Governments can’t solve the problems alone; private capital will be needed to invest in disruptive technologies that are poised to accelerate solutions. Cerberus Ventures is a dedicated investment platform that backs pioneering advancements in critical technologies addressing these challenges. We invest from Seed to Series B across 6 verticals: Processing & Microelectronics, Energy Infrastructure, Networks & Communications, AI- Enabled Productivity, Synthetic & Programmable Biology, and Physical & Digital Assurance. Our team is led by a unique group of experienced investors from In-Q-Tel, Cerberus, and global technology firms. As a Venture Fellow, you will help identify and research opportunities across one of these verticals (or specific subsegments of these verticals). This role is ideal for those interested in career opportunities in venture capital, startups, and technology. Responsibilities: • Technical due diligence: Assist Cerberus investment professionals in company / industry research and due diligence, • Evaluate the technical merits and competitive differentiation of investment opportunities, • Qualify the source of technical differentiation (review patents, understand and explain proprietary processes, etc.), • Assess technical risks and opportunities of product roadmaps, • Thesis development: Distill findings into comprehensive reports, • Sourcing: Identify new investment opportunities. Leverage personal and Cerberus networks to meet with entrepreneurs and thought leaders, • Market mapping: Contribute to our industry deep-dives. Cerberus Ventures takes a thematic approach, researching the ecosystems (including emerging technologies, competitive landscapes, supply chains, etc.) of our focus markets and subsegments Key Requirements: • Current post-doc or PhD candidates in cybersecurity, computer science, AI, or related field, • Deep technical understanding of networked and distributed system architectures, application and cloud security, and well-versed in the latest applications of AI to the security stack., • Ability (or deep curiosity / willingness) to bridge technical research to commercial insights – e.g., How do the target company’s specs align with customer needs? What would it take for competition to displace the target company’s technology? How feasible is the technology’s path to operationalization / commercialization? Preferred knowledge of: • The startup landscape in cybersecurity, • The relevant regulatory and policy landscape