Jobs at Capital Area Transit System (CATS)

This full-time Lead Machine Learning Engineer role within Capital One's Agile teams focuses on productionizing machine learning applications at scale. The position involves designing and building ML models to solve real-world business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems. Key responsibilities include collaborating with product and data science teams, managing model retraining and monitoring, and implementing continuous integration and deployment practices using languages like Python, Scala, or Java. The role appeals to candidates seeking to apply the latest innovations in machine learning engineering within a collaborative environment that emphasizes responsible AI and technical growth. The position is based in McLean, VA, New York, NY, or Plano, TX.

The Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable generative AI solutions, including Large Language Models and Natural Language Processing systems, to enhance customer interactions. Key responsibilities involve partnering with cross-functional teams to operationalize machine learning models for millions of users, leveraging technologies like PyTorch and AWS, and translating complex technical concepts into business value. The role is appealing for its opportunity to drive innovation at scale within a data-centric culture, offering a chance to shape next-generation financial experiences while fostering talent development and challenging conventional thinking.

The Business Director- Card Technology Strategy role leads strategic initiatives within the Card Technology Strategy team at Capital One, partnering with senior leadership to define the division's technology agenda. Key responsibilities include developing business strategies to drive growth and profitability, managing product and pricing strategies through data modeling, and overseeing multiple concurrent projects while mentoring analysts. The position appeals to candidates seeking a collaborative environment that values innovation, continuous learning, and the opportunity to solve complex challenges in a fast-paced financial services setting. The role requires strong analytical and leadership skills to influence stakeholders across technology, product, and business units.

This senior distinguished machine learning engineering role provides technical leadership to teams focused on productionizing large-scale ML applications within the financial services sector. Key responsibilities include designing and implementing complex ML models using Python, Scala, and C++, optimizing data pipelines for high-performance computing, and guiding architectural decisions for cloud-based systems. The position appeals to experts seeking to drive state-of-the-art intelligent systems while mentoring engineers and shaping engineering best practices. The role offers a collaborative environment where professionals can continuously apply cutting-edge innovations and contribute to the company's technological evolution.

This Senior Lead Machine Learning Engineer role sits within an Agile team focused on productionizing AI and ML systems for Capital One's Credit and Financial Risk Management products. The position involves leading engineering pods, designing scalable AI architectures, and building intelligent applications using technologies like LLM inference and agentic AI. Key responsibilities include mentoring teams, developing robust data pipelines, ensuring model governance and responsible AI practices, and managing the full lifecycle of model deployment and monitoring. The role appeals to candidates seeking to apply cutting-edge machine learning innovations in a collaborative environment while working with a broad stack of cloud-based technologies. The position is based in various US locations including Cambridge, McLean, New York, and Richmond.

This Principal Associate Data Scientist role within Capital One's Mainstreet Acquisitions team focuses on developing and governing advanced credit underwriting models to deliver personalized financial offers. The position involves conducting statistical modeling experiments, engineering features from diverse data sources, and building machine learning solutions across the full development lifecycle. Key responsibilities include partnering with cross-functional stakeholders to establish modeling standards and translating complex technical insights into tangible business goals. The role appeals to candidates seeking a collaborative, informal culture that values innovation and intellectual challenge. It offers the opportunity to work with cutting-edge technologies like Python, AWS, and Spark on a large scale, driving real-time decision-making for millions of customers.

The Director, Mainstreet Finance role leads a team of financial analysts within Capital One's Card business, serving as a strategic advisor to senior leadership across Finance and Corporate Planning. Key responsibilities include generating deep analytical insights into business performance and the P&L, developing influential presentations for executive stakeholders, and driving sustainable processes that influence corporate decision-making. The position offers the opportunity to shape the broader Finance culture while working in a collaborative environment that values data-driven judgment and talent development. This full-time position is based in McLean or Richmond, Virginia.

This Director-level role within the External Data Strategy team at Capital One leads a group of 10 to 15 data scientists in building advanced analytics and machine learning models. The position involves overseeing the full data lifecycle, from sourcing external data and designing feature pipelines to implementing scalable solutions using Python, Spark, and AWS. Key responsibilities include partnering with cross-functional teams to drive business insights, providing technical guidance, and developing talent within the organization. The role appeals to candidates seeking to leverage big data to improve customer financial outcomes within a company that values innovation and data-driven decision-making. It offers the opportunity to work at scale across billions of records while fostering a culture of technical excellence and strategic leadership.

This Senior Manager role within Capital One's Enterprise AI/ML team leads product strategy for the platforms powering real-time, intelligent banking. The position focuses on building and scaling tools for technical users such as data scientists and ML engineers, ensuring rigorous governance, security, and resiliency. Key responsibilities include driving transformative solutions through cross-functional collaboration with engineering and risk teams, translating complex business strategies into innovative digital products, and solving operational challenges for large-scale distributed compute systems. The role appeals to leaders seeking to shape the infrastructure used by thousands of engineers to deliver personalized customer experiences. It offers a vibrant environment centered on reimagining the status quo, with opportunities for transformational leadership and professional growth in a rapidly evolving digital landscape.

The Business Manager role within the Global Payment Network at Capital One focuses on driving strategic growth and profitability for major lending products. Key responsibilities include developing business strategies to navigate consumer and regulatory shifts, leading product and pricing initiatives, and managing credit risk through rigorous data modeling and analysis. The position also involves mentoring a small team of analysts and collaborating with cross-functional partners to execute complex projects. This opportunity appeals to candidates seeking a dynamic environment that values innovation, continuous learning, and the chance to impact the bottom line through data-driven decision-making. The role offers a collaborative culture where strategic insight is highly valued, supporting professional development in a fast-paced financial services setting.

The Senior Manager, Product Management role for Associate Experience leads a newly formed team dedicated to the technology foundation supporting over 70,000 employees. The position focuses on building secure, frictionless platforms for devices, authentication, and software discovery while balancing strict security protocols with user productivity. Key responsibilities include defining product roadmaps, negotiating with vendors, influencing cybersecurity policy, and driving cross-functional alignment with engineering and executive leadership. This opportunity is appealing due to the high level of autonomy in building a team from scratch, the chance to solve complex, ambiguous problems, and the mission to transform internal technology experiences. The role operates within a collaborative culture that values platform thinking and offers flexibility across various office locations.

This Business Analysis Manager role within Capital One's Retail and Small Business Bank organizations focuses on driving strategic growth and profitability through data-driven decision-making. Key responsibilities include developing business strategies to navigate consumer and regulatory shifts, leading product and pricing initiatives, and building credit risk models to improve performance. The position also involves managing a small team of analysts and collaborating with cross-functional partners to execute complex projects. The role is appealing for its emphasis on continuous learning, innovation, and a collaborative culture that rewards insight. It offers a dynamic environment where professionals can tackle major company challenges while developing their leadership and analytical capabilities.

This Senior Manager role leads the Associate Experience Endpoints team within Capital One's Product Management division, focusing on the technology foundation for over 70,000 employees. The position involves building secure, user-centric platforms for devices and software while balancing zero-trust security with seamless productivity. Key responsibilities include defining product roadmaps, negotiating with vendors, influencing cybersecurity policy, and driving strategic initiatives to reduce friction in the internal technology experience. The role is particularly appealing due to the opportunity to build a new team from scratch with significant autonomy, work directly with executive stakeholders, and apply rigorous product thinking to complex internal challenges. The position offers a collaborative environment where reducing daily friction for the workforce is valued as a core business outcome.

This senior lead machine learning engineering role places the candidate within an Agile team focused on productionizing scalable machine learning applications at Capital One. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and managing the full lifecycle of model deployment, monitoring, and retraining in cloud environments. The position requires leading teams while ensuring code quality, system performance, and adherence to responsible AI practices. The role is appealing for its opportunity to work with emerging technologies, drive innovation in big data solutions, and foster a collaborative culture that values continuous learning and technical excellence.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems using cloud architectures. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while adhering to responsible AI practices. The role is appealing for its opportunity to continuously apply the latest innovations in machine learning engineering and work with diverse technologies like Python, Golang, and major cloud platforms. The position supports a collaborative culture centered on technical growth and delivering state-of-the-art big data solutions.

The Senior Business Analyst role within the Global Payment Network at Capital One focuses on transforming complex payment data into strategic insights for Discover, Diners Club, and Pulse. Key responsibilities include identifying business challenges, developing credit risk models, supporting product pricing strategies, and driving marketing initiatives through rigorous quantitative analysis. The position requires close collaboration with IT, sales, and operations teams to implement solutions that enhance network security and profitability. This opportunity appeals to professionals seeking a dynamic environment that values innovation, continuous learning, and the chance to impact a global financial infrastructure. The role offers a collaborative culture where analytical expertise is directly applied to solve major company challenges.

This Senior Manager, Data Scientist role within the Generative AI Systems team at Capital One focuses on developing cutting-edge AI solutions for dialogue, text processing, and image analysis. The position involves leading cross-functional teams to build machine learning models from design through implementation, leveraging technologies like Python, AWS, and Spark to extract insights from massive datasets. Key responsibilities include translating complex technical work into business value, mentoring talent, and driving innovation in natural language processing and computer vision. The role is appealing for its opportunity to shape the future of financial services using emerging generative AI technologies, work with a collaborative culture of researchers and engineers, and contribute to research presented at major industry conferences. The position is based in McLean, Virginia or New York, New York.

The Senior Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable machine learning solutions, specifically leveraging Large Language Models and Natural Language Processing to enhance customer interactions. Key responsibilities include partnering with cross-functional teams to build AI-powered features, fine-tuning models for production environments serving over 80 million users, and translating complex technical concepts into business value. This opportunity appeals to candidates seeking to drive innovation in generative AI within a data-centric culture that values customer-first decision-making and professional growth. The role operates on-site in McLean, New York, or San Jose.

The Manager, Data Science role within the AI Foundations LLM Customization team leads efforts to integrate Large Language Models and generative AI into Capital One's financial products. Key responsibilities include partnering with cross-functional teams to design and operationalize NLP models, adapting and fine-tuning LLMs for specific business applications, and leveraging technologies like PyTorch and AWS to process vast datasets. This position appeals to innovative leaders who thrive on solving undefined problems and driving breakthrough AI initiatives. The role offers the opportunity to shape next-generation customer experiences while working in a collaborative environment that values technical expertise and clear communication across the organization.

This Senior Associate role within the Financial Planning & Analysis team supports the Strategic Tech Finance function at Capital One. The position involves developing financial methodologies, analyzing current results to identify business opportunities, and assisting the Tech function with planning for new initiatives. Key responsibilities include managing budgeting, forecasting, and P&L processes, as well as creating executive presentations to communicate insights to senior leadership. The role appeals to candidates seeking a collaborative environment where they can partner with business leaders to assess financial implications and lead specific projects. It offers the opportunity to work on acquisition-related topics and develop strong influencing skills while supporting strategic technology goals.

The Senior Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's Data Science department. This position focuses on building and deploying state-of-the-art scalable AI and machine learning solutions for the company's mobile applications, serving over 80 million customers. Key responsibilities include partnering with cross-functional teams to deliver generative AI features, leveraging technologies like PyTorch and Large Language Models to process vast datasets, and managing the full lifecycle of model development from design to production. The role is appealing for its opportunity to drive innovation at a Fortune 200 scale, work with cutting-edge NLP technologies, and foster a culture of customer-centric creativity and talent development.

The Senior Manager, Data Science - AI Foundations role leads the development of scalable AI and machine learning solutions for Capital One's mobile applications. The position involves partnering with cross-functional teams to design, train, and operationalize large language models and NLP systems that serve over 80 million customers. Key responsibilities include leveraging technologies like PyTorch and AWS to build generative AI features, adapting models for customer-facing interactions, and translating complex technical concepts into business value. This opportunity appeals to innovative leaders seeking to drive the next wave of disruption in financial services within a collaborative culture. The role offers the chance to work with cutting-edge tools while fostering talent development and shaping the future of digital banking experiences.