\u003C/p>\u003Cp>In this role, you will:\u003Cspan> \u003C/span>\u003C/p>\u003Cul>\u003Cli>\u003Cp>\u003Cspan>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.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>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.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\u003C/span>\u003C/p>\u003C/li>\u003C/ul>\u003Cp>\u003C/p>\u003Cp>The Ideal Candidate:\u003C/p>\u003Cul>\u003Cli>\u003Cp>\u003Cspan>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.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>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.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>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.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>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.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>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.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Has a deep understanding of the foundations of AI methodologies. \u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>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.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Experience in delivering libraries, platform level code or solution level code to existing products.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>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.\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.\u003C/span>\u003C/p>\u003C/li>\u003C/ul>\u003Cp>\u003C/p>\u003Cp>\u003Cb>Basic Qualifications:\u003C/b>\u003C/p>\u003Cul>\u003Cli>\u003Cp>\u003Cspan>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\u003C/span>\u003C/p>\u003C/li>\u003C/ul>\u003Cp>\u003C/p>\u003Cp>\u003Cb>Preferred Qualifications:\u003C/b>\u003C/p>\u003Cul>\u003Cli>\u003Cp>\u003Cspan>PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\u003C/span>\u003C/p>\u003C/li>\u003C/ul>\u003Cul>\u003Cli>\u003Cp>\u003Cspan>LLM\u003C/span>\u003C/p>\u003Cul>\u003Cli>\u003Cp>\u003Cspan>PhD focus on NLP or Masters with 5 years of industrial NLP research experience\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>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)\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Publications in deep learning theory \u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\u003C/span>\u003C/p>\u003C/li>\u003C/ul>\u003C/li>\u003C/ul>\u003Cp>\u003C/p>\u003Cul>\u003Cli>\u003Cp>\u003Cspan>Optimization (Training & Inference)\u003C/span>\u003C/p>\u003Cul>\u003Cli>\u003Cp>\u003Cspan>PhD focused on topics related to optimizing training of very large deep learning models \u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Experience optimizing training for a 10B+ model \u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Deep knowledge of deep learning algorithmic and/or optimizer design \u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Experience with compiler design\u003C/span>\u003C/p>\u003C/li>\u003C/ul>\u003C/li>\u003C/ul>\u003Cp>\u003C/p>\u003Cul>\u003Cli>\u003Cp>\u003Cspan>Finetuning\u003C/span>\u003C/p>\u003Cul>\u003Cli>\u003Cp>\u003Cspan>PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\u003C/span>\u003C/p>\u003C/li>\u003Cli>\u003Cp>\u003Cspan>Experience deploying a fine-tuned large language model \u003C/span>\u003C/p>\u003C/li>\u003C/ul>\u003C/li>\u003C/ul>\u003Cp>\u003C/p>\u003Cp>\u003Cb>\u003Ci>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.\u003C/i>\u003C/b>\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:left\">\u003Cspan>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.\u003C/span>\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>Cambridge, MA: $214,500 - $244,800 for Applied Researcher I\u003Cp>\u003Cbr /> \u003C/p>McLean, VA: $214,500 - $244,800 for Applied Researcher I\u003Cp>\u003Cbr /> \u003C/p>New York, NY: $234,000 - $267,000 for Applied Researcher I\u003Cp>\u003Cbr /> \u003C/p>San Francisco, CA: $234,000 - $267,000 for Applied Researcher I\u003Cp>\u003Cbr /> \u003C/p>San Jose, CA: $234,000 - $267,000 for Applied Researcher I\u003Cp>\u003Cbr /> \u003C/p>\u003Cp>\u003Cbr /> \u003C/p>\u003Cp>\u003Cbr /> \u003C/p>\u003Cp>\u003Cbr /> \u003C/p>\u003Cp>\u003Cbr /> \u003C/p>\u003Cp>\u003Cbr /> \u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:left\">\u003Cspan>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.\u003C/span>\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>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.\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:left\">\u003Cspan>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\u003Cspan> \u003C/span>\u003C/span>\u003Ca target=\"_blank\" href=\"https://www.capitalonecareers.com/benefits\">Capital One Careers website\u003C/a>\u003Cspan>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.\u003C/span>\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>This role is expected to accept applications for a minimum of 5 business days.\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>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.\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:left\">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 \u003Ca href=\"mailto:RecruitingAccommodation@capitalone.com\" target=\"_blank\">\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan class=\"WDL1\">RecruitingAccommodation@capitalone.com\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:left\">For technical support or questions about Capital One's recruiting process, please send an email to \u003Ca href=\"mailto:Careers@capitalone.com\" target=\"_blank\">\u003Cu>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan>\u003Cspan class=\"WDL1\">Careers@capitalone.com\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/span>\u003C/u>\u003C/a>\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:left\">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.\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:left\">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).\u003C/p>","https://capitalone.wd12.myworkdayjobs.com/capital_one/job/San-Jose-CA/Applied-Researcher-I_R220167-1",{"id":76,"name":77,"urlSafeSlug":107,"logo":78},[657],{"city":177,"region":178,"country":38},"Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and ideally a Master’s or Ph.D. degree. They must have hands-on experience building large deep learning models, including expertise in training optimization, self-supervised learning, robustness, explainability, and RLHF. Strong experience with open-source languages and cloud computing platforms, such as Pytorch and AWS Ultraclusters, is required. A professional track record of delivering high-quality ideas or improving upon existing ideas in machine learning, demonstrated by publications or projects, is also necessary.","The Applied Researcher I will partner with a cross-functional team to deliver AI-powered products, leveraging a broad stack of technologies to reveal insights from large datasets. They will build AI foundation models through all phases of development, from design to implementation, and engage in high-impact applied research to translate AI developments into customer experiences. This role also involves translating complex work into tangible business goals and challenging conventional thinking to improve the status quo, ultimately contributing to the development of trustworthy and reliable AI systems at Capital One.",{"employment":661,"compensation":663,"experience":664,"visaSponsorship":669,"location":670,"skills":671,"industries":681},{"type":662},{"id":121,"name":122,"description":185},{"minAnnualSalary":30,"maxAnnualSalary":30,"currency":187,"details":30},{"experienceLevels":665},[666],{"id":245,"name":667,"description":668},"Junior (1 to 2 years)","Gain initial job experience and develop your skills.",{"type":134},{"type":117},[206,672,673,674,675,676,677,629,678,679,680],"AI","Pytorch","AWS Ultraclusters","Huggingface","Lightning","VectorDBs","Data Science","Communication","Collaboration",[682,683],{"id":75,"name":74},{"id":150,"name":684},"Artificial Intelligence",{"id":686,"title":540,"alternativeTitles":687,"slug":697,"jobPostId":686,"description":698,"applyUrl":699,"company":77,"companyOption":700,"locations":701,"listingDate":703,"listingSite":114,"isRemote":63,"requirements":704,"responsibilities":705,"status":117,"expiryDate":30,"summary":706},"cfabcc0b-2bd1-4980-bfc0-2ec23fff5b77",[542,543,544,688,689,690,548,547,691,692,693,694,550,695,696],"Senior Java Developer","Java Tech Lead","Cloud Software Architect","Software Engineering Manager","Technical Lead","Senior Application Developer","Enterprise Software Architect","Cloud Solutions Architect","Senior Java Architect","staff-software-engineer-cfabcc0b-2bd1-4980-bfc0-2ec23fff5b77","## About Capital One Canada\nFor over 20 years, we’ve been on a mission to change banking for good and build relationships by making credit accessible, simple, intuitive and rewarding. We want to help Canadians succeed with credit, because we believe in people — in our customers, in our associates, and in talent like you!\n\n## Our Capital One Software Studio\nSince 2014, Capital One Canada’s software studio has grown from a team of 10 to a team of over 270. We’re passionate about what we do, and we’re always on the lookout for people who want to make a difference in the world of credit through technology. We’re obsessed with doing the right thing, and we achieve that by finding innovative ways to better serve our customers.\n\nWe’re all-in on the cloud and we’re leaders in the adoption of open source, RESTful APIs, microservices, and containers. We build our own products and release them with a speed and agility that allows us to get new customer experiences to market quickly. And, as a founder-led company, we’re inspired to make, break, do, and do good. So, let’s do something great together.\n\n## Role Overview\nThis is a senior technical position (manager equivalent) that does not have direct reports. We require advanced hands-on development, technical design, and architecture.\n\n## A Day in the Life of a Capital One Staff Engineer\nYou’ll work alongside other Software Engineers on innovative projects. You’ll have the opportunity to learn, design and build software products from the ground up. You’ll share knowledge through conducting technical workshops/office hours, and participating in hackathons or community of practices or staff engineering forums. You’ll explain complex technical challenges and solutions to diverse stakeholders with tech and non-technical backgrounds.\n\nHere are a few of the ways we’re helping people take control of their credit:\n- Helping customers view and monitor their credit scores with Credit Keeper\n- Enabling customers to view and edit their Personal Information directly in the Mobile App\n- Providing customers 100% certainty which credit cards they’ll be approved for before they apply, by using Quick Check™\n\n## Responsibilities\n- Work as part of a dynamic team throughout the Software Development Life Cycle\n- Act as a tech lead developer owning technical design and development of cross-functional, multi-platform, fault tolerant application systems\n- Continuously improve software engineering developer experience; identify gaps in existing internal framework and tools and contribute\n- Establish Engineering best practices; identify and establish best practices and standards, such as code review standards.\n- Technical expertises and Problem solving; define technical standards and providing technical support to ensure Engineering best practices are consistently met\n- Architecture ownership - apply strong understanding of how evolving technology affects domain, follow High Level Design (HLD) methodology and contribute to HLD\n- Provide mentorship to junior and intermediate associates through engineering best practises and standards\n\n## Basic Requirements\n- At least 8 years of hands-on development experience preferably using Java or other object-oriented programming languages\n- At least 8 years of experience with application and/or data design, architecture and development\n- Experience with AWS (highly preferred) or other cloud products (Microsoft Azure, Google Cloud)\n- Experience providing mentorship to Junior/Intermediate Associates and guidance to technical and business stakeholders\n- Bachelor's Degree\n\n## Preferred Qualifications\n- 10+ Years of experience leading the full life-cycle of Software Development\n- Experience working in an agile environment and familiar with agile development methodologies\n\n## Working at Capital One\nEnjoy a hybrid work environment, with 3 days in\n\n## Job Details\n- **Employment Type**: Full time\n- **Location**: 161 Bay Street (93021), Canada, Toronto, Toronto, Ontario","https://capitalone.wd12.myworkdayjobs.com/capital_one/job/Toronto-ON/Staff-Software-Engineer_R220415",{"id":76,"name":77,"urlSafeSlug":107,"logo":78},[702],{"city":460,"region":461,"country":462},"2025-07-15T00:00:00Z","Candidates must possess at least 8 years of hands-on development experience, preferably in Java or other object-oriented programming languages, and at least 8 years of experience in application and/or data design, architecture, and development. Experience with AWS or other cloud products like Microsoft Azure or Google Cloud is required, along with a Bachelor's Degree and experience providing mentorship to junior/intermediate associates and guidance to stakeholders. Preferred qualifications include over 10 years of experience leading the full software development lifecycle and familiarity with agile development methodologies.","The Staff Software Engineer will work as part of a dynamic team throughout the Software Development Life Cycle, acting as a tech lead developer responsible for the technical design and development of cross-functional, multi-platform, fault-tolerant application systems. They will continuously improve the software engineering developer experience by identifying gaps in existing internal frameworks and tools and contributing to their improvement. Additionally, they will establish engineering best practices and standards, define technical standards, provide technical support, hold architecture ownership, apply a strong understanding of evolving technology's impact on the domain, follow High-Level Design methodology, contribute to HLDs, and provide mentorship to junior and intermediate associates.",{"employment":707,"compensation":709,"experience":710,"visaSponsorship":713,"location":714,"skills":715,"industries":716},{"type":708},{"id":121,"name":122,"description":30},{"minAnnualSalary":30,"maxAnnualSalary":30,"currency":30,"details":30},{"experienceLevels":711},[712],{"id":131,"name":132,"description":30},{"type":134},{"type":117},[334,576,577,330,578,478,479],[717,718],{"id":75,"name":74},{"id":212,"name":213},{"id":720,"title":721,"alternativeTitles":722,"slug":733,"jobPostId":720,"description":734,"applyUrl":735,"company":77,"companyOption":736,"locations":737,"listingDate":739,"listingSite":114,"isRemote":63,"requirements":740,"responsibilities":741,"status":117,"expiryDate":30,"summary":742},"9075be24-4a97-42e8-a0ff-a6bb62ffbd7a","Director of Technical Program Management - Card Modernization",[723,724,725,726,727,728,729,730,731,732],"Technical Program Director - Card Modernization","Director, Program Management - Card Technology","Head of Technical Programs - Payments Modernization","Senior Director, Technical Program Management - Financial Services","Lead Technical Program Manager - Card Platforms","Director of Engineering Programs - Card Modernization","Card Modernization Program Lead - Technical","Director, Technology Program Delivery - Cards","Head of Payments Technology Programs","Director, Enterprise Programs - Card Technology","director-of-technical-program-management-card-modernization-9075be24-4a97-42e8-a0ff-a6bb62ffbd7a","## Job Title\nDirector of Technical Program Management - Card Modernization\n\n**Employment Type:** Full time\n\n## About Capital One\nAt Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper.\n\nWe’re a bank, but we don’t think like one. We’re always thinking about what’s next, about how we can innovate and inspire, and about how we can develop the tools our customers need to improve their financial lives - by leveraging best in class technology. That’s where you come in.\n\n## About the Team\nCapital One is seeking a Director of Technical Program Manager to work on a large modernization program within our Card Technology+ organization. This individual will be accountable to drive execution of a cohesive roadmap across multiple workstreams in collaboration with our enterprise partners. This could include building platforms and capabilities that interact with Capital One Enterprise systems; building automation and tooling to de-risk and standardize as we migrate clients to core processing platforms; building accounts and transactions integrations to our financial core system.\n\nThis is a highly visible and influential role that requires deep technology experience, customer focus, organizational leadership, effective communication and program management skills. Success in the role requires an innovative mindset, a proven track record of delivering large scale, complex next generation software and data products, rigorous analytical skills, and a passion for delivering customer value.\n\n## Our TPM Directors Have:\n- Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle\n- Exceptional communication and collaboration skills\n- Excellent problem solving and influencing skills\n- A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker\n- Experience as a TPM leader to grow and develop a team of TPMs, while also building the foundations for the TPM practice\n- Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives\n- Deep focus on execution, follow-through, accountability, and results\n- Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done.\n- Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners\n\n## Basic Qualifications\n- Bachelor's degree\n- At least 7 years of experience managing technical programs\n\n## Preferred Qualifications\n- 7+ years of experience designing and building data-intensive solutions using distributed computing\n- 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS\n- 3+ years experience building highly scalable mobile products & platforms\n- 3+ years of experience with Agile delivery\n- 3+ years years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables and unblock teams to land business impact\n- Experience in building systems & solutions within a highly regulated environment\n- Bachelor's degree in a related technical field (Computer Science, Software Engineering)\n- MBA or Master’s Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience\n\n## Sponsorship Information\nAt this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OP","https://capitalone.wd12.myworkdayjobs.com/capital_one/job/Chicago-IL/Director-of-Technical-Program-Management---Card-Modernization_R221621-1",{"id":76,"name":77,"urlSafeSlug":107,"logo":78},[738],{"city":516,"region":517,"country":38},"2025-07-22T00:00:00Z","Candidates must possess a Bachelor's degree and at least 7 years of experience managing technical programs. Preferred qualifications include 7+ years of experience designing and building data-intensive solutions using distributed computing, 3+ years of experience in building distributed systems and highly available services using cloud computing services/architecture (preferably AWS), 3+ years experience building highly scalable mobile products and platforms, 3+ years of experience with Agile delivery, and 3+ years of experience delivering large and complex programs. Experience in building systems and solutions within a highly regulated environment is also preferred, as is an MBA or Master's Degree in a related technical field or equivalent experience. Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.","The Director of Technical Program Management will lead programs focused on critical business goals and the development of large-scale products and platforms. This role is accountable for driving the execution of a cohesive roadmap across multiple workstreams in collaboration with enterprise partners, which may include building platforms and capabilities that interact with Capital One Enterprise systems, building automation and tooling to de-risk and standardize client migrations, and building accounts and transactions integrations to the financial core system. The individual will also be responsible for growing and developing a team of TPMs, building the foundations for the TPM practice, simplifying technically complex concepts, driving decisions across product, engineering, design, and data science teams, and ensuring deep focus on execution, follow-through, accountability, and results through exceptional cross-team collaboration.",{"employment":743,"compensation":745,"experience":746,"visaSponsorship":749,"location":750,"skills":751,"industries":762},{"type":744},{"id":121,"name":122,"description":30},{"minAnnualSalary":30,"maxAnnualSalary":30,"currency":30,"details":30},{"experienceLevels":747},[748],{"id":131,"name":132,"description":30},{"type":134},{"type":117},[752,753,754,755,271,756,334,757,758,759,760,679,761],"Technical Program Management","Card Modernization","Roadmap Execution","Platform Development","Data Products","Risk Mitigation","Scalable Platforms","Customer Focus","Organizational Leadership","Analytical Skills",[763,764,765],{"id":75,"name":74},{"id":150,"name":151},{"id":212,"name":213},{"id":767,"title":768,"alternativeTitles":769,"slug":785,"jobPostId":767,"description":786,"applyUrl":787,"company":77,"companyOption":788,"locations":789,"listingDate":791,"listingSite":114,"isRemote":63,"requirements":792,"responsibilities":793,"status":117,"expiryDate":30,"summary":794},"3dec83f6-4178-45de-aaf0-1176d898ab56","Customer Complaints Case Handler",[770,771,772,773,774,775,776,777,778,779,780,781,782,783,784],"Customer Relations Specialist","Client Resolution Officer","Complaints Resolution Specialist","Customer Advocacy Representative","Financial Services Complaints Handler","Customer Support Investigator","Client Services Case Manager","Customer Experience Advocate","Resolution Specialist","Customer Grievance Officer","Client Complaint Investigator","Customer Service Resolution Specialist","Consumer Complaints Case Manager","Customer Relations Investigator","Client Support Resolution Specialist","customer-complaints-case-handler-3dec83f6-4178-45de-aaf0-1176d898ab56","## About this role\n\nOur Complaints Resolution team are the customer advocates at the heart of our operation. They are here to solve problems for customers who need our support, and do this through their critical thinking and understanding of Capital One, and industry-wide policies and processes.\n\nAs a member of the team, you must have a passion for being the voice of our customers and be able to think creatively to influence how we deliver great outcomes.\n\nWe encourage ownership and accountability, so we’ll need you to listen to our customers, investigate their concerns and make a well-informed decision on behalf of Capital One. You will be empowered to use your judgment when deciding outcomes and will own the resolution for each of the customers you advocate for.\n\n## What you’ll do\n\n- Manage customer complaints from receipt right through to resolution, both in voice and written communications\n- Understand industry regulation and how this matches with Capital One policies\n- Support customers and resolve their concerns\n- Do a thorough investigation to help understand their situation and find a resolution\n- Remain customer focused and put them at the centre of every decision\n- Signpost customers to additional support resources\n- Support our business in improving our processes\n\n## What we’re looking for\n\n- **Expert attention to detail** would make you a superstar in this role\n- **Resilience is key!** Whilst this job is incredibly rewarding, it can be difficult at times\n- A **team player** that acts with integrity and treats our customers and associates with respect\n- We’d love it if you have first-hand experience within complaints and the Finance Industry - but don’t worry if not, as this isn’t a dealbreaker!\n\n## Experience\n\n- A **great communicator**, both telephony and in writing detailed final responses that are clear, not misleading and easy to digest.\n- A **passion for giving the best advice** to every customer you interact with through empathy and advocacy.\n\nWe are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates.\n\n## Where and how you'll work\n\nAt Capital One, we invest in your training and development. We recognise that a 'one size fits all' approach to learning is not always the best. We have developed a blended learning and support programme involving in-person, remote and self learning.\n\nThis means, for the period of your training (approximately 12 weeks) and when you first start talking to customers, the training will be a mixture of office based and remote learning. This is hugely beneficial to your development in the role but it will also allow you to learn more about our culture and create in-person relationships with your peers.\n\nDuring your training, your working hours will be **09:00 to 17:30 Monday to Friday**. Once you've completed training you’ll move onto a Complaints team shift pattern working a shift within our opening hours between the hours of **8:30 & 16:30**.\n\nOnce you have successfully completed your training, you will transition to predominantly working from home, however you will be required to come into the office for a day every 2 weeks. This will be for team building, collaboration and the opportunity to meet and spend time with your colleagues face to face. However, if you want to work from the office more, you can!\n\n## What’s in it for you\n\n- Salary of **£27,000.00**\n- We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)\n- Immediate access to our core benefits including pension scheme, generous holiday entitle","https://capitalone.wd12.myworkdayjobs.com/capital_one/job/Nottingham--Eng/Customer-Complaints-Case-Handler_R222081",{"id":76,"name":77,"urlSafeSlug":107,"logo":78},[790],{"city":110,"region":111,"country":112},"2025-07-29T00:00:00Z","Candidates should possess excellent attention to detail and resilience, with strong communication skills in both written and verbal formats. While experience in complaints handling and the finance industry is preferred, it is not a mandatory requirement. A passion for customer advocacy and providing advice with empathy is essential.","The Customer Complaints Case Handler will manage customer complaints from initial receipt through to resolution, utilizing both voice and written communication channels. Responsibilities include understanding industry regulations and Capital One policies, conducting thorough investigations to understand customer situations, and making well-informed decisions to resolve concerns. The role also involves signposting customers to additional support resources and contributing to the improvement of business processes.",{"employment":795,"compensation":797,"experience":800,"visaSponsorship":806,"location":807,"skills":808,"industries":818},{"type":796},{"id":121,"name":122,"description":30},{"minAnnualSalary":798,"maxAnnualSalary":30,"currency":799,"details":30},27000,"GBP",{"experienceLevels":801},[802,805],{"id":803,"name":804,"description":30},"e677de98-10ce-4da6-9a88-ef9be4395dfe","Entry Level & New Grad",{"id":245,"name":667,"description":30},{"type":134},{"type":117},[809,208,679,810,811,812,813,814,815,816,817],"Customer Service","Investigation","Decision Making","Attention to Detail","Resilience","Teamwork","Integrity","Written Communication","Verbal Communication",[819],{"id":150,"name":820},"Finance",{"id":822,"title":823,"alternativeTitles":824,"slug":835,"jobPostId":822,"description":836,"applyUrl":837,"company":77,"companyOption":838,"locations":839,"listingDate":841,"listingSite":114,"isRemote":63,"requirements":842,"responsibilities":843,"status":117,"expiryDate":30,"summary":844},"afe246f4-3336-47be-8894-d03762af943f","Principal Data Scientist, Consumer Identity Machine Learning",[825,826,827,828,829,830,831,832,833,834],"Lead Consumer Identity ML Scientist","Senior Machine Learning Scientist, Customer Data","Principal ML Engineer, Identity & Personalization","Staff Data Scientist, Behavioral Modeling","Lead Data Scientist, Customer Behavior Analytics","Principal Scientist, Real-time Personalization ML","Senior ML Scientist, Consumer Insights","Lead ML Engineer, Customer Data Science","Principal Data Scientist, Fraud & Identity ML","Staff ML Scientist, Customer Journey Optimization","principal-data-scientist-consumer-identity-machine-learning-afe246f4-3336-47be-8894-d03762af943f","## Employment Type\nFull time\n\n## About Capital One\nData is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.\n\nAs a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.\n\n## Team Description: Consumer Identity ML\nConsumer Identity ML is the data science and machine learning team inside Capital One’s AI foundation organization. We deliver real-time, personalized, intelligent customer experiences in Capital One’s suite of award-winning digital products, including our website, mobile app, emails, chatbot, and beyond. We partner closely with our product and engineering teams to build the data and modeling platforms crucial to the deep understanding of customers that enables our applications to delight them by adapting to their needs.\n\nAs part of Consumer ML, you will:\n- Explore billions of clickstream events to discover the patterns in customer behavior, and use those patterns to model key customer outcomes\n- Develop the real-time models that use vast amounts of customer data to anticipate customers’ needs and deliver the right options at the right time\n- Develop the models that ensure our most important customer data is accurate, fighting fraud and other bad behavior, while enabling seamless digital experiences across all our products\n\n## Role Description\nIn Consumer Identity ML, you will work at all phases of the data science life cycle, including:\n- Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to improve operationalization in scalable and resilient production systems that serve 50+ million customers.\n- Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.\n- Write software (Python, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark.\n\n## The Ideal Candidate Is\n- **Innovative**: You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.\n- **Creative**: You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.\n- **Technical**: You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.\n- **Statistically-minded**: You’ve built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.\n- **A data guru**: \"Big data\" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.\n\n## Basic Qualifications\nCurrently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:\n- A Bachelor's Degree in","https://capitalone.wd12.myworkdayjobs.com/capital_one/job/McLean-VA/Principal-Data-Scientist--Consumer-Identity-Machine-Learning_R223355",{"id":76,"name":77,"urlSafeSlug":107,"logo":78},[840],{"city":36,"region":37,"country":38},"2025-08-14T00:00:00Z","Candidates should have a Bachelor's degree in a quantitative field, be innovative, creative, technically proficient with open-source languages and cloud computing platforms, statistically minded with experience in various modeling techniques, and possess strong data analysis skills. Experience with big data and machine learning model development across the entire lifecycle, including operationalization in production systems, is required.","The Principal Data Scientist will explore billions of clickstream events to discover customer behavior patterns and use them to model key customer outcomes. They will develop real-time, personalized models using vast customer data to anticipate needs and deliver timely options. Responsibilities also include developing models to ensure customer data accuracy, combat fraud, and enable seamless digital experiences. This involves building machine learning models from design through evaluation, partnering with engineering for operationalization, conducting experiments to improve customer experiences and business outcomes, and writing software to collect, explore, visualize, and analyze large datasets.",{"employment":845,"compensation":847,"experience":849,"visaSponsorship":852,"location":853,"skills":854,"industries":860},{"type":846},{"id":121,"name":122,"description":30},{"minAnnualSalary":30,"maxAnnualSalary":30,"currency":30,"details":848},"No specific compensation details provided.",{"experienceLevels":850},[851],{"id":131,"name":132,"description":30},{"type":134},{"type":117},[206,855,678,198,141,481,856,857,858,859],"Statistical Modeling","Customer Behavior Analysis","Fraud Detection","Real-time Modeling","Clickstream Analysis",[861,862],{"id":75,"name":74},{"id":212,"name":213},["Reactive",864],{"$ssite-config":865},{"env":866,"name":867,"url":868},"production","nuxt-app","https://jobo.world",["Set"],["ShallowReactive",871],{"company-Capital-One":-1,"company-jobs-d91345ab-9c63-47cc-a4a1-47fd0571dfa8-carousel":-1},"/company/Capital-One",{}]