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Sr. Associate, Product Management Product Management Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. Do you dream of well-designed and intuitive products and customer experiences? Do you want to be the one who introduces change to help tens of millions of customers make smarter financial choices? Do you want to change the way people manage their money? If you answered yes to all of these questions, then product management at Capital One may be a fit for you In this role, you'll learn the essentials of being a product manager, and we'll invest in you to grow in four key areas : • Human Centered, • You'll collaborate with tech teams to build comprehensive acceptance criteria, identifying and elevating any need for additional research to define future feature design, • You'll breakdown business epics into features and further into user stories, driving your team towards lowest effort or Minimal Viable Product (MVP) for a valid feature test, • Business Focused, • Demonstrating a growth mindset, you'll effectively use hypothesis-driven assessment of data to ensure your product or feature delivers on real business needs, • You'll own and prioritize feature development roadmaps, ensuring all necessary processes and procedures are followed to manage risk, • Technology Driven, • You'll work autonomously in an agile environment, to conduct research and develop features that utilize new and evolving technology, • You'll collaborate with designers, technologists, data scientists and subject-matter experts to build cutting edge solutions to help customers, • You'll deliver well-managed product platforms for customers by seeking to understand technology trends and architecture strategy, • Transformational Leadership, • By actively participating in horizontal forums, you'll harness a network of trusted relationships among tech teams, designers, key internal stakeholders and partner teams, • You'll articulate a succinct product roadmap to deliver business value and share with with stakeholders, elevating your team's results and becoming a product matter expert We want you if you are:, • Intellectually Curious . You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges, • Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they're doing what they're doing. You always can rally associates to work with you, • Do-er. You're biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You're well organized, able to multitask and able to prioritize your work, • Passionate & Customer Focus . You care about growing others and bringing them together around what's possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs, • Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help, • Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships Basic Qualifications:, • Bachelor's degree or military experience, • At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering Preferred Qualifications:, • Bachelor's degree in computer science or engineering, • 1+ years translating business strategy or analysis into consumer facing digital products, • 1+ years of experience working on core product platforms powering digital experiences, • 1+ years working with cross functional teams as a product owner in an agile development process At this time, Capital One will not sponsor a new 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. Chicago, IL: $99,100 - $113,100 for Sr. Associate, Product Management McLean, VA: $109,000 - $124,400 for Sr. Associate, Product Management New York, NY: $118,900 - $135,700 for Sr. Associate, Product Management Richmond, VA: $99,100 - $113,100 for Sr. Associate, Product Management 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 ; 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- 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).

Manager, Product Management - Enterprise Product & Experience Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team The Enterprise Product and Experience team builds on the shoulders of our data and technology transformation. We bring together cross-functional experts to help drive Capital One's Enterprise product, data, design, machine learning and engineering, data science, and developer capabilities. Together, we are working with our partners across Capital One to deliver the future of industry-defining products, platforms, and experiences for our associates and customers. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: * Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions * Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence * Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value * Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks * Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: * At least 3 years of experience working in Product Management * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: * Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,400 - $180,800 for Manager, Product Management New York, NY: $172,800 - $197,200 for Manager, Product Management Richmond, VA: $144,000 - $164,400 for Manager, Product Management 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 ; 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- 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 1 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 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 ; 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- 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 Machine Learning Engineer (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At 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 OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning 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 ; 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- 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, Technical Program Management, Bank Tech Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? About Capital One - At 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. We'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. About the team - We are seeking top tier Technical Program Management (TPM) talent to lead strategic initiatives for ACH, Wires, Instant, and emerging payment types. In this exciting role, you will propel us in our journey towards platform modernization and future innovation. You will be partnering with Executive Leaders and stakeholders across lines of businesses to drive the execution of a cohesive roadmap across multiple workstreams to deliver results that will have a direct, significant impact on the company. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Directors have: * 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 * Exceptional communication and collaboration skills * Excellent problem solving and influencing skills * A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker * Experience as a TPM leader to grow and develop a team of TPMs, while also building the foundations for the TPM practice * Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives * Deep focus on execution, follow-through, accountability, and results * Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. * Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Basic Qualifications: * Bachelor's degree * At least 7 years of experience in technical program management Preferred Qualifications: * 7+ years of experience designing and building data-intensive solutions using distributed computing * 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS * 3+ years experience building highly scalable mobile products & platforms * 3+ years of experience with Agile delivery * 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 * Experience in building systems & solutions within a highly regulated environment * Bachelor's degree in a related technical field (Computer Science, Software Engineering) * MBA or Master's Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience At 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 OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $226,000 - $257,900 for Director, Technical Program Management New York, NY: $246,500 - $281,300 for Director, Technical Program Management Richmond, VA: $205,400 - $234,400 for Director, Technical Program Management Wilmington, DE: $205,400 - $234,400 for Director, Technical Program Management 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 ; 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer (People Leader) Capital One's Digital Commerce & Innovation organization is seeking a Machine Learning Engineer, People Leader, at the Senior Manager level with a passion for building and growing full stack applications to join its Velocity Black by Capital One team. As a candidate for this role, you're able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage 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. Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams., • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)., • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment., • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications., • Retrain, maintain, and monitor models in production., • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale., • Construct optimized data pipelines to feed ML models., • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code., • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI., • Use programming languages like Python, Scala, or Java. Basic Qualifications:, • Bachelor's degree, • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply), • At least 4 years of experience programming with Python, Scala, or Java, • At least 3 years of experience building, scaling, and optimizing ML systems, • At least 2 years of experience leading teams developing ML solutions, • At least 4 years of people management experience. Preferred Qualifications:, • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field, • 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow, • 3+ years of experience developing performant, resilient, and maintainable code, • 3+ years of experience with data gathering and preparation for ML models, • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform, • 3+ years of experience building production-ready data pipelines that feed ML models, • Ability to communicate complex technical concepts clearly to a variety of audiences, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $245,900 - $280,600 for Sr. Mgr, Machine Learning Engineering 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 ; 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Technology Change Risk Oversight Capital One is one of the fastest growing organizations in the world today, powered by our passion for our customers. We are serious about technology, we dream big, and we execute: Capital One moved our entire enterprise to the public cloud over the course of five years. Just as we prioritize driving innovation through technology, we equally prioritize cybersecurity, reliability, and managing technology risk. Technology Risk Management (TRM) is a small organization that packs a big punch. The 100 professionals in TRM are trusted experts who oversee 14,000 developers at Capital One. We raise the bar for excellence in cybersecurity, reliability, and tech risk. We shape strategy and decisions, challenge activities to ensure they meet our standards, and perform independent tests of our security and technology risk. Our business leaders must make technology decisions constantly. TRM makes sure they have the tech risk information they need to make good decisions. Associates within TRM are highly-skilled information security, cybersecurity, site reliability engineering, technology, and risk management professionals. They have a wealth of experience and a demonstrated ability to add value with their advice and to deliver high-impact results. As the Senior Manager, Technology Change Risk Oversight you will play a key role in the review, risk identification, risk assessment, reporting, and effective challenge of technology processes, controls, and capabilities, including but not limited to material and high risk technology changes. You will provide subject matter expertise, oversight, and effective challenge of key Technology areas such as cloud services, enterprise architecture, cloud migrations, and overall technology deployments. As part of the second line of defense, this position will also collaborate closely with associates in first line Cyber, Technology, the Lines of Business, as well as other second line of defense risk management offices to perform and support evaluations of the effectiveness of the firm's controls infrastructure and offer independent advice and recommendations regarding ways to further mature the firm's cyber risk management capabilities. Finally, as a member of a growing organization, you will have the opportunity to shape and further refine your portfolio commensurate with the priorities of the organization and the company. The demands and high-visibility nature of this position requires an expert with a proven ability to work independently in a fast-paced environment and who can begin contributing immediately. Essential Functions (Responsibilities): • Provide technical leadership in assessing the practices of designing, developing, testing and implementing cloud native solutions to crucial business problems through thoughtful use of industry best practices and Capital One policy., • Evaluate proposed and approved cloud technical solutions for automation, resiliency, performance, scalability, and security including appropriate tradeoffs, risks and opportunities, • Evaluate/assess complex technological and business environment migrations to the cloud and integrated end-to-end solution options, • Build and maintain relationships with technical leaders, business owners, engineers and other stakeholders to understand and evaluate implementation plans, business priorities and technical solutions to ensure risk are well communicated and understood by the key stakeholders, • Keep up-to-date on cutting edge technology, standards, protocols and tools in areas relevant to the rapidly changing environment at Capital One, specifically cloud native architecture, serverless, and emerging AWS services, • Demonstrate strong analytical, problem-solving, and decision-making skills, • Communicate and drive highly complex technology solutions to broad audiences including executives, business leaders, product managers, legal experts, security specialists and software engineers, • Define, structure and plan work independently, • Perform independent risk assessment of our cloud environment focusing on architecture, engineering, networking, governance., • Provide expertise and advice regarding the effectiveness of device configurations, IT architecture, or IT engineering solutions, • Consult with risk owners on the design and implementation or adjustment of mitigating controls associated with emerging technologies, • Draft and publish independent reports for risk owners, senior management, and other stakeholders regarding risks associated with new or emerging technologies Basic Qualifications:, • Bachelor's Degree or military experience, • At least 6 years of experience managing, consulting, auditing, or working in the fields of information security or information technology, • At least 3 years experience with Public Cloud implementations Preferred Qualifications:, • Master's Degree in Computer Science or in an Engineering discipline, • Professional certification (AWS Certified Solutions Architect, AWS Certified Security Speciality, AWS SysOps Administrator, or Certified Information Systems Security Professional (CISSP, • Experience with Information Security at the policy, architecture or implementation level, • Ability to communicate clearly and to interact effectively at all levels of the organization, and to influence as warranted and appropriate to drive to consensus, • Experience with identifying and communicating key risks related to cloud native implementations and architectures, • Experience drafting reports or analytic assessments for senior management, • Experience with analysis of emerging threats and reports that describe the implications of threat(s) and opportunities to executives or senior decision-makers, • Passion and expertise in cybersecurity and technology risk, with an ability to be confident, respectful, and articulate when registering dissenting or unpopular opinions, • Ability to manage multiple high-visibility and high-impact projects while maintaining superior results, • Execution oriented and a self-motivator, • Experience with threat modeling frameworks (STRIDE, OWASP Top 10, MITRE ATT&CK), • Familiarity with controls and control frameworks ( NIST Cybersecurity Framework, NIST 800-53, CIS Top 20, ISO, COBIT.), • Ability to work independently and in a team, taking a lead role on projects when necessary, • Prior experience working in financial services or other highly-regulated sectors, • Experience working in a hybrid IT environment that includes both traditional on-premises data centers and public cloud infrastructure (e.g., AWS, Azure, Google Cloud), • Experience with OpenStack At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is Hybrid, with associates expected to consistently spend three days per week in the office. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr Manager, Cyber Technical Richmond, VA: $204,900 - $233,800 for Sr Manager, Cyber Technical New York, NY: $245,900 - $280,600 for Sr Manager, Cyber Technical Riverwoods, IL: $204,900 - $233,800 for Sr Manager, Cyber Technical 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 ; 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- or via email at . click apply for full job details

Manager, Solution Architecture (Workday) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Workday Architects who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that's leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One's Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions. General Responsibilities: * Lead the design, development and architecture of Workday solutions, including HCM, Finance, Recruiting, Benefits, Compensations and other modules to support business processes and objectives . * Design and implement integrations between Workday Finance and other modules, ensuring seamless data flow and integration points. * Implement the Workday solution to support the multiple countries and ensure the design supports compliance requirements. * Leading Trade-off and impact analysis work for hard to change technical decisions, and manage technical conflict * Demonstrate thought leadership and strategy in partnership with delivery and product partners * Explain and represent solutions in the Architecture Review Boards, and various product, platform and architecture discussions * Presenting work products and strategies to product managers, technology leadership across Capital One * Function as a primary architecture point of contact for other architecture teams & and delivery teams for solutions and systems * Implement the security requirements within the Workday that supports the data tokenization and other compliance requirements. * Evaluate the machine learning/AI use cases and ensure that AI usage is based on the safety and compliance requirements Basic Qualifications: * Bachelor's Degree * At least 4 years of experience in Software Engineering and Systems Architecture or Technology Solution design * At least 2 years of experience creating solutions architectures in a public cloud (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: * Master's Degree in Computer Science, Engineering or Information Technology * 5+ years of experience in software engineering * 3+ years of experience as a Solutions Architect in large/complex organizations * 6+ years of experience architecting, designing, and/or delivering delivering scalable and decoupled systems in a heavily regulated technology environment * 2+ years of experience working with internal and external business clients * 2+ years of experience with AWS concepts and implementations * Experience to engaging, influencing and driving initiatives by partnering with technology executives * Experience mentoring software engineers or architects * Experience in a regulated environment (HIPAA, PCI, Privacy, etc) * Ability to communicate at all levels in the organizations with required technical depth and breadth * AWS or equivalent certifications (Cloud Practitioner, Solution Architect-Associate, GCP or Azure) At 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 OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $175,800 - $200,700 for Manager, Solution Architecture Cambridge, MA: $193,400 - $220,700 for Manager, Solution Architecture Chicago, IL: $175,800 - $200,700 for Manager, Solution Architecture McLean, VA: $193,400 - $220,700 for Manager, Solution Architecture New York, NY: $211,000 - $240,800 for Manager, Solution Architecture Plano, TX: $175,800 - $200,700 for Manager, Solution Architecture Richmond, VA: $175,800 - $200,700 for Manager, Solution Architecture San Jose, CA: $211,000 - $240,800 for Manager, Solution Architecture 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 ; 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- 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).

Manager, Data Scientist - US Card (New To Credit Team) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The New to Credit Data Science team develops machine learning models for marketing, risk, and valuation. These models help our business partners make informed marketing and underwriting decisions throughout the credit card lifecycle. We prioritize advanced modeling techniques, alternative data sources, and robust infrastructure to enhance decision accuracy and efficiency. Additionally, we conduct thorough statistical analysis to generate insights that influence various business strategies. You will collaborate with data scientists, business analysts, and software engineers on all stages of model development. This work will be conducted in a supportive environment that values your contributions, encourages new responsibilities, promotes ongoing learning, and rewards innovation. Role Description In this role, you will: * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Leverage a broad stack of technologies - Python, Conda, AWS, Spark, Kubeflow Pipelines, and more - to reveal the insights hidden within huge volumes of numeric and textual data * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases Preferred Qualifications: * PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of industry experience in data science, or Master's Degree plus 5 years of industry experience in data science * At least 1 year of experience working with AWS * At least 4 years' experience in Python * At least 4 years' experience with building machine learning models, with at least two years of experience with building GBM models * At least 4 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science New York, NY: $211,000 - $240,800 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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- 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, Data Scientist - Apollo/Card Data Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description Apollo (part of Card DMDC) is Capital One's one stop shop for authoritative, 360 degree information on US businesses. We are on a mission to build a market leading, business critical Business Data Product and Platform that gives our customers a competitive advantage through information. Our customers rely on Apollo's data and capabilities to market, sell, verify, underwrite, serve, and protect business customers, often in real-time intelligent ways. Business data is a complex, multi-billion dollar problem that is poorly served by legacy providers. We are tackling this critical opportunity by acquiring and processing massive amounts of data, leveraging cutting-edge ML/AI to resolve identity and predict valuable features and architecting interfaces that allow our users to seamlessly integrate Apollo into their workflows Data Science is at the heart of Apollo and this role will have an opportunity to shape the next generation of capabilities. Role Description In this role, you will: • Lead a team of data scientists and collaborate with machine learning engineers, data engineers, business analysts and product managers to deliver product(s) customers love., • Lead machine learning and data science technical direction and execution (operations, governance, processes and practice) working closely with product management to craft a roadmap and success criterion., • Lean on your deep technical background in graph-based machine learning, deep learning, software engineering and algorithm development to organize, grow and manage the ML/AI capabilities for the product., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is:, • Technical Innovator. You have a strong background in ML/AI and engineering practices with experience in Entity Resolution, Information Retrieval, Graph-based ML, LLM/Embeddings or Deep Learning. You have hands-on experience developing effective data science solutions, while pushing the envelope with state-of-the-art techniques., • Customer-back. Product mindset. You are deeply curious about customer needs and bring a product mindset to drive business results, integrating ML/AI design, engineering and execution. You identify high-leverage efforts and the necessary trade-offs to shape a roadmap that balances transformative innovation with time-to-value and pragmatism., • Empathetic People Leader. You establish a culture of inclusiveness, cooperation and candor. You're passionate about talent development, provide frequent actionable feedback to team members, and promote innovation, • Strategic Thinker and Communicator. You love asking questions and pushing hard for answers. You challenge conventional thinking and work with stakeholders to identify and improve the status quo by bringing clarity to big, undefined problems.You set the team vision, and inspire your team and peers to execute towards it. Basic Qualifications:, • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date :, • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics, • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics, • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics, • At least 4 years of experience leveraging open source programming languages for large scale data analysis, • At least 4 years of experience working with machine learning, • At least 4 years of experience utilizing relational databases Preferred Qualifications:, • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics, • At least 1 year of experience working with AWS, • At least 3 year of experience managing people, • At least 5 years of experience in Python, Scala, or R for large scale data analysis, • At least 5 years of experience with machine learning 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: $263,900 - $301,200 for Dir, Data Science New York, NY: $287,800 - $328,500 for Dir, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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- 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, Machine Learning Engineer (Enterprise Platform Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning 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 ; 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- 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 Machine Learning Engineer, Shopping (Remote-Eligible) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One Shopping, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Lead Machine Learning Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning 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 ; 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- 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 Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At 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 OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning Engineer San Francisco, CA: $173,000 - $197,400 for Senior Machine Learning 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 ; 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- 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 Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: • Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers., • Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI., • Fine-tune, develop and evaluate machine learning and foundation models,, • Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities, • Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One., • Leverage a broad stack of Open Source and SaaS AI technologies., • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues., • Retrain, maintain, and monitor models in production., • Construct optimized data pipelines to feed ML models., • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 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., • You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences., • 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., • Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: • Bachelor's degree, • At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply), • At least 4 years of experience programming with Python, Go, Scala, or Java, • At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications:, • 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, • 6 years of experience designing, developing, delivering, and supporting AI services at scale, • 3 years of experience developing AI and ML algorithms or technologies using Python, • 2 years of experience with Retrieval Augmented Generation (RAG), • Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure, • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At 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 OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) 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: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning 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 ; 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- 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. . click apply for full job details

Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At 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 OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $211,000 - $240,800 for Lead Machine Learning 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 ; 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- 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 Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At 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 OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning 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 ; 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- 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, Technical Program Management (AI/ML Products) Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? About Capital One: At 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. We'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. About the Team: As a Director of Technical Program Management (TPM) on Capital One's Intelligent Foundations and Experiences (IFX) AIML product & platform organization, we're looking for someone that can help us build robust, scalable platforms enable state of the art AI capabilities to be integrated with both customer-facing and internal applications. The platforms are the foundational blocks on which Capital One's various lines of businesses (like credit card, retail banking, auto finance) will build delightful AI experiences for our customers, developers and other internal stakeholders. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Directors have: * 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 * Exceptional communication and collaboration skills * Excellent problem solving and influencing skills * A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker * Experience as a TPM leader to grow and develop a team of TPMs, while also building the foundations for the TPM practice * Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives * Deep focus on execution, follow-through, accountability, and results * Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. * Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Basic Qualifications: * Bachelor's degree * At least 7 years of experience managing technical programs Preferred Qualifications: * 7+ years of experience designing and building data-intensive solutions using distributed computing * 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS * 3+ years experience building highly scalable mobile products & platforms * 3+ years of experience with Agile delivery * 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 * Experience in building systems & solutions within a highly regulated environment * Bachelor's degree in a related technical field (Computer Science, Software Engineering) * MBA or Master's Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience At 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 OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $226,000 - $257,900 for Director, Technical Program Management McLean, VA: $226,000 - $257,900 for Director, Technical Program Management New York, NY: $246,500 - $281,300 for Director, Technical Program Management Richmond, VA: $205,400 - $234,400 for Director, Technical Program Management San Francisco, CA: $246,500 - $281,300 for Director, Technical Program Management 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 ; 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- 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).

Requires a Master's degree in Mobile and Internet of Things Engineering, Computer Science, Computer Engineering, Computer Software, Electronics Engineering, Applied Sciences, Mathematics, Physics or related field. Production Engineer Responsibilities:. Build a scalable, efficient, data-driven and re

Master's or PhD in Electrical Engineering, Computer Science, Software Engineering, Computer Engineering, or Information Systems. Experience with open-source software platforms and languages such as Java, Linux, Apache, OpenStreetMap, D3. Software Systems Engineer-Hadoop/Java Developer.

Post-graduate / Graduate degree in computer science, engineering, accounting, finance, or a related field. Vice President, Finance Data Strategy.

Solution, Design and Development of web applications using the Java EE, Webservices, JMS, XML, Weblogic.Bachelor's degree in Computer Science or Engineering or equivalent working experience.Strong hands on experience with Spring, Apache CXF, JAXB and JMS.Experience in designing architecture, reusabl

Electrical Engineering and Computer Science. Electrical Engineering & Computer Science. Performing electrical engineering analyses consulting related to ongoing Exponent work.

Graduate Software Engineer 2025 - RegTech. React Frontend Engineer - grok. Bachelor's or Masters degree in Computer Science, Engineering, Mathematics, or a related quantitative field.

University degree in computer science, engineering, or a related field.Expertise with Terraform and Ansible.Familiar with some of the following: Kubernetes, Helm, Python, BASH scripting.Debugging/Troubleshooting skills.Ability to multitask and handle various projects, deadlines and changing prioriti

This role will partner closely with business stakeholders, engineers, and vendors to deliver innovative, secure, and scalable network solutions including both on-premise and cloud-based deployments. Engineering, Computer Science, or related field or equivalent experience (10+ years in enterprise net

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; we are looking for candidates with a strong background in Software Engineering or Computer Science for a Java/Software Developer position. Develop software and web applications using

PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the

Master’s degree or the equivalent in Computer Science, Engineering (any) or related field and 2 years of experience in large scale enterprise software development environment;. Bachelor's degree or the equivalent in Computer Science, Engineering (any) or related field and 5 years of experience in

The Senior Analyst, Supply Chain Planning will be responsible for managing the weekly tasks of menu planning along with implementing and driving strategy to enhance the operation with autonomy. Bachelor's degree in Business, Supply Chain Planning, Data Science, Computer Science, Engineering, or anot

Ideally you'd have: * Technical degree in computer science, engineering, or equivalent experience * 4+ years of experience in building ML-powered products, experience in enterprise-facing products is a plus * Strong understanding of generative AI technologies and their applications in enterprise se

Software Development & Configuration:. Bachelors or Master's degree from an accredited institution preferably in Software Engineering, Computer Science, Information Technology, Data Science, or a related field.

Computer Science, Information Technology, Engineering, or a related discipline) OR 12+ months of professional work experience in finance, healthcare, banking, insurance, hospitality, aviation, or tech What We Look For Passion for learning and interest in Data Engineering Strong logic and reasoning s

Work with firmware engineers, software engineers, and quantum scientists during various phases of lab testing. Bachelor of Science (BS) in Electrical Engineering or Computer Engineering (EE or CE) from an accredited university. Master of Science (MS) degree in Electrical Engineering or Computer Engi

Bachelor's degree in Computer Science, Engineering, Finance, or related field (or equivalent experience); advanced degrees or AI certifications are a plus. Prior experience in financial services (e. KYC/AML, risk, operations, client service) preferred.

Natixis CIB is seeking a dynamic and experienced Vice President of Network Security to lead and enhance our network security infrastructure across the AMER region. This strategic leadership role requires a deep technical understanding of network security and the ability to drive initiatives that protect our systems while mentoring a talented engineering team. The job responsibilities include, but are not limited, to the following: • Infrastructure Oversight: Lead the design and administration of Natixis CIB AMER's network security infrastructure, focusing on critical components including DNS, F5 Load Balancers, Fortinet and Palo Alto firewalls, VPNs, proxies, Remote Access and DMZ connectivity., • Technology Initiatives: Drive technology projects aimed at enhancing cybersecurity and improving network performance in alignment with organizational goals., • Continuous Monitoring: Ensure optimal network performance through continuous monitoring, dashboard creation, promptly addressing any security incidents., • Documentation Management: Maintain comprehensive documentation, including network security asset inventories, diagrams, procedures and vendor contacts, to support operational efficiency and facilitate effective communication., • Cross-Department Collaboration: Collaborate with infrastructure teams to resolve network-related challenges and ensure seamless operations across departments., • Audit and Security Coordination: Work closely with audit and IT Security teams in both AMER and BPCE-IT to provide necessary documentation and implement remediation plans as required., • Staff Mentorship and Training: Mentor and train junior engineering staff, fostering a culture of growth and skill development within the network team., • Vulnerability Assessments: Conduct vulnerability assessments and manage patching processes to effectively mitigate and report security risks across the AMER region., • Security Reporting: Develop and deliver regular security reports to Leadership, highlighting key metrics, incidents, and trends to inform strategic decision-making., • LOD1 Security Management: Manage Line of Defense 1 (LOD1) network security controls and request as specified by the IT Risk Department., • Strategy Alignment: Coordinate with AMER and Head Office IT Security teams to assure alignment on security strategies and policies., • Tool Proficiency: Profiecent knowledge of security tools such as SIEM, Splunk, Centreon and Qualys for effective monitoring and incident response., • Bachelor’s degree in computer science, Information Technology, Cybersecurity, or a related field; Master’s preferred., • 6+ years of hands-on experience in network security management, preferably within the financial services industry., • Extensive experience managing Cisco Firepower, Fortinet and Palo Alto firewalls, including DMZ design implementation., • Relevant certifications such as Fortinet NSE 4/5, Palo Alto Networks Certified Network Security Engineer (PCNSE), Cisco CCNP Enterprise and CCNP Security is a plus. Highly desirable CISSP, CISM., • Strong project management and leadership experience., • Excellent communication and problem-solving skills, with a focus on collaboration and teamwork., • Extensive understanding of network technologies – L2, L3, VXLAN, BGP, LAN/WAN/VPN, • Extensive understanding of security technologies such as firewall, load balancing, proxy, authentication methods, • Strong knowledge of DNS/DHCPWSG (Web Security Gateways), Proxy-pac scripting, • Troubleshooting knowledge of network and security systems with minimal guidance is required., • OSI Layer 4 and Layer 7 protocol analysis and troubleshooting experience is required., • Excellent oral and written communication and documentation skills are essential., • Ideal candidate must have a strong understanding of Zero Trust Architecture and Network Access Control design for enterprise network infrastructure design, and troubleshooting., • Among these technologies, knowledge of Arista and Cisco design, configuration and automation is a definite plus, • Knowledge of scripting languages such as Python, PoweShell, or Ansible., • The individual will need to be very organized, flexible, results oriented and able to multi-task to meet the demands of our dynamic environment, • The candidate should be a self-starter, be able to work with minimal supervision, properly and effectively report project/work status to management and peers, take full ownership and responsibility of the tasks assigned to her/him and work them through completion., • The candidate should be able to demonstrate both technical capabilities and in-depth knowledge of various security and network concepts, technologies, and best practices, • The candidate should have the ability to convey in non-technical terms complex technical explanations related to problems, designs, etc., • Knowledge of Ansible Scripting is a plus, • Knowledge of micro segmentation tools such as Illumio or VM Ware NSX is a plus Natixis is an equal opportunity employer, committed to a workplace free of discrimination. Natixis will not tolerate any form of discrimination based on age, color, mental or physical handicap or disability, pregnancy, marital status, sexual orientation, national origin, alienage, ancestry or citizenship status, race, religion, sex (including sex stereotyping, gender identity, gender expression or transgender status), veteran status, creed, genetic information or carrier status, or any other protected characteristic as established by law. Respect for all means that we deal with each person as an individual and not as a member of any group. All qualified applicants will receive consideration for employment. Management is expected to provide leadership in supporting the firms EEO program by taking steps to promote EEO in all facets of employment including recruitment, hiring, retention, promotion, performance assessment, and career-development opportunities. The salary range for the VP position will be between $150,000 - $180,000. Natixis is required by law to include a reasonable estimate of the compensation range for this role. Actual base salary will vary and will be based on several factors including, but not limited to, relevant experience, education, skills set, applicable licensure and certifications, and other business and organizational needs. Base salary is only one component of our total rewards package. Natixis also offers a generous benefits package, and you may be eligible for a discretionary incentive award depending on company and individual performance.

Job DescriptionSalary: $16-$18 hourly DOE Marketing Analytics Intern - AI/ML Focus Mason Interactive | 4 to 6-Month Paid Internship | Fall 2025 Start | Part-Time/Full-Time The Project Lead a groundbreaking ML/AI integration project that transforms how we leverage marketing data. You'll develop predictive models, automated insights, and AI-driven optimization strategies using real client datasets. What You'll Do • Build ML models to predict campaign performance and optimize marketing strategies, • Create automated data pipelines integrating diverse marketing data sources, • Design interactive dashboards visualizing ML insights for stakeholders, • Research cutting-edge AI approaches for marketing challenges, • Collaborate cross-functionally to identify ML applications in marketing workflows What We Need Technical Skills: • Strong ML foundation (supervised/unsupervised learning, neural networks, NLP), • Python proficiency with ML libraries (scikit-learn, TensorFlow, PyTorch), • Data preprocessing and feature engineering experience, • SQL and database knowledge, • Data visualization tools (Tableau, Power BI, Looker Studio) Marketing Knowledge: • Understanding of marketing metrics (ROI, CPA, ROAS, CPM), • Ability to translate ML insights into actionable marketing recommendations Soft Skills: • Excellent communication with non-technical stakeholders, • Self-motivated with strong project management abilities, • Problem-solving mindset for data integration challenges Qualifications • Rising seniors or recent graduates in Computer Science, Data Science, ML, Statistics, or related field, • Portfolio demonstrating ML applications to business problems (preferred), • Available for Fall 2025 start, 4 to 6-month commitment, minimum part-time Why Mason Interactive? • Competitive paid internship with real compensation, • Lead a transformative project at the intersection of marketing and AI, • Real-world impact on client business outcomes, • Work with marketing experts and data scientists, • Exceptional portfolio-building opportunity, • Help shape the future of data-driven marketing Ready to revolutionize marketing analytics with AI?

Adecco Creative and Marketing partnered with an educational publishing company to hire a Data Analyst. Job Title: Data Analyst Location: Hybrid – New York City (Onsite Tuesday through Thursday), 35 hours/week Contract Duration: 6 Months (Temp-to-Perm) Pay Rate: • Experienced Candidate: $40–$48/hour (based on experience) Job Description: • Analyze large, complex datasets to surface trends and identify insights that can be used to answer business questions and inform strategic decision-making, • Craft concise, compelling narratives using data; translate insights from analyses into clear, actionable recommendations for cross-functional stakeholders, with a focus on driving business impact, • Partner effectively with stakeholders to understand business needs and develop relevant recommendations and data-driven solutions, • Validate data integrity to ensure high-quality, accurate analyses Qualifications: Must haves: • Experience with SQL, • Experience with Excel / Google Sheets, • 2-4 years of full-time experience in a Data Analyst role, • Experience with Git, • Experience with Python, • Experience with Amazon S3 - Experience with AWS Sagemaker/Jupyter Notebooks - Experience with Power BI or other data visualization tools such as Tableau - Undergraduate/grad degree in economics, finance, computer science, math, statistics, engineering or other quantitative discipline This is a W2 position. Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. There is no PTO or holiday pay for contracts. Sick leave is accrued where applicable, check your state laws. Equal Opportunity Employer/Veterans/Disabled Must be authorized to work in the U.S. without employer sponsorship. To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: *The California Fair Chance Act *Los Angeles City Fair Chance Ordinance *Los Angeles County Fair Chance Ordinance for Employers *San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Bachelor's degree in Finance, Computer Science, Engineering, Information Technology, Information Systems, Management, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Financial Analyst (or closely related occupation) performing data analysis

Job Description *Interviews for the 2026 Summer Internship Program in New York will begin in September 2025. About Us: Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities' risk management, world-class technology, and talented traders have enabled it to become one of the world's largest liquidity providers and risk allocators in the energy and commodities spaces. DV Commodities currently has over 35 desks, with traders and staff located in London, New York, Chicago Houston, and Dubai. Overview: As a Software Development Intern, you'll work in small groups within our infrastructure team and/or trading teams to assist building low latency applications, systems and trading tools that will make a direct impact to DV. Through your work and other development opportunities, you will grow your technical skills and understand how our technology stack empowers our firm to serve our trading teams. Requirements: • Currently pursuing a degree in Computer Science, Computer Engineering or related field and expected to graduate between Winter 2026 and Summer 2027, • Proficient in one or more general purpose programming languages, including C++ and Python, • Strong quantitative, analytical and problem-solving skills, • Ability to work onsite at our New York office 5 days a week Hourly pay range $40.00-$50.00 DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Job DescriptionWho we areQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Senior Consultant to join our growing Digital Media Supply Chain practice. In this role, you will help guide projects that optimize and automate the Digital Media Supply Chain ecosystem for our clients. We define Digital Media Supply Chain as the connected systems and processes from initial content capture/creation through Direct to Consumer services and sites. We are looking for an organized and ambitious team member who will excel in a fast-paced environment. What you'll do • Help guide several types of business and technology consulting project teams through all core project phases, including project setup, requirements gathering, design/architecture, development, testing and deployment., • For Digital Media Supply Chain projects, help manage the full implementation lifecycle for multiple components of the Digital Media Supply Chain ecosystem., • Conduct initial reviews of deliverables and give feedback., • Proactively identify risks and issues, and provide mitigation strategies., • Lead various client meetings such as stakeholder interviews and client workshops., • Build and maintain strong client relationships., • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement.What you'll bring, • 3-5+ years System Implementation, SDLC, Integration, and Project Management experience, • 3+ years in consulting / professional services, big firm experience preferred, • 2+ years of implementation experience for DSC/DAM or other digital media delivery solutions over the full lifecycle (analysis, design, develop, test, deploy, support) at a consulting / professional services firm, • Experience managing storage and network solutions to be able to support large file distribution, • Knowledge of numerous file formats and codecs with a focus on video, • Experience with localization use cases, • Demonstrated ability to manage upwards and communicate with leadership, • Demonstrated ability to collaborate with subject matter experts, cross-functional resources and business stakeholders to understand and document business requirements, • Ability to plan, prioritize and manage custom development project delivery based on business requirements, • Bachelor’s degree in engineering, information systems, computer science, business administration or other related fieldsPreferred Experience, • Experience in Media & Entertainment/Broadcast and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Experience setting up security policies, users, roles, and groups within a DAM system, • Agile or Scrum Trained and/or Certified, • OpenText experience Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Lead Machine Learning Engineer (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At 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 OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning 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 ; 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- 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).

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