Jobs at Confidential Retail and DTC Company

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools. The position leverages a modern stack of open-source and cloud technologies to deliver high-impact products. The role is appealing for its opportunity to pioneer state-of-the-art AI solutions in a collaborative environment that values technical excellence and ethical innovation. Candidates will work on undefined challenges with the freedom to shape the technical vision while contributing to a mission that brings humanity and simplicity to financial services.

This senior leadership role within Capital One's Cloud Operations Resilience Engineering organization directs the product strategy for operational intelligence and observability tools. The position involves leading cross-functional teams to manage the collection and analysis of data across software, databases, and infrastructure assets, ensuring technology platforms remain performant, secure, and resilient. Key responsibilities include translating business strategy into innovative digital solutions, driving execution excellence, and collaborating with risk and security teams to monitor performance and mitigate product risks. The role appeals to leaders seeking to shape the future of internal technology management within a vibrant, transformational culture that values human-centered innovation and integrated problem-solving. The position is based in various US locations including Chicago, McLean, New York, Plano, Richmond, and San Francisco.

This senior management role within Capital One's Global Payment Network focuses on driving strategic growth and profitability for major lending products. The position involves developing business strategies to navigate shifting consumer behaviors, leading product and pricing initiatives, and managing credit risk through rigorous quantitative analysis. Key responsibilities include overseeing a team of analysts, coordinating cross-functional projects with IT and Sales, and executing direct-to-consumer marketing efforts. The role appeals to candidates seeking a dynamic environment that values innovation, continuous learning, and the opportunity to influence high-level business decisions. It offers a collaborative culture where strategic insight is rewarded, with opportunities for professional development and leadership within a global financial infrastructure.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning systems 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 applications. The position requires collaborating with product and data science teams to implement continuous integration practices and maintain responsible AI standards. The role is appealing for its opportunity to work with emerging technologies, lead cross-functional initiatives, and continuously apply the latest innovations in machine learning engineering. The position supports a collaborative environment where professionals can drive state-of-the-art big data solutions.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. The position involves designing and deploying AI software components, implementing state-of-the-art optimization techniques to enhance system latency and throughput, and collaborating with cross-functional partners to deliver responsible AI products. The role appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world banking challenges. It offers the opportunity to shape the long-term technical vision of foundational AI systems while working with a diverse stack of open-source and cloud technologies in a culture dedicated to transforming banking through innovation.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible generative AI platforms that transform banking services. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and optimization techniques for scalability and cost efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing guardrails and governance frameworks, and contributing to the long-term technical roadmap. The role appeals to candidates passionate about applying cutting-edge research to real-world problems, offering the opportunity to work with a diverse technology stack on high-impact initiatives. The position supports a culture of innovation and technical excellence, allowing engineers to lead the development of systems that enhance customer experiences while maintaining high standards of reliability.

The Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. This position focuses on developing and operationalizing state-of-the-art machine learning and natural language processing solutions, specifically leveraging Large Language Models to enhance customer interactions. Key responsibilities include partnering with cross-functional teams to design scalable AI architectures, fine-tuning models for production environments serving over 80 million users, and translating complex technical concepts into clear business strategies. The role is appealing for its opportunity to drive innovation using cutting-edge generative AI technologies in a customer-first culture that values creativity and leadership. The position supports a hybrid work arrangement and offers significant professional growth within a Fortune 200 company dedicated to data-driven decision-making.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing large language models and agentic AI systems to transform banking experiences. The position involves designing and training foundation models, optimizing deep learning architectures for scale, and collaborating with cross-functional teams to deploy AI solutions into production. Key responsibilities include leveraging technologies like PyTorch and AWS to extract insights from vast datasets and translating complex research into tangible business value. The role appeals to candidates seeking to work on cutting-edge AI infrastructure in a culture that prioritizes innovation, ethical AI development, and high-impact research. While the listing mentions specific locations, the position emphasizes a collaborative environment where researchers can pursue a personal research agenda and drive the next generation of customer interactions.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. Key responsibilities include designing and deploying AI software components, optimizing LLM performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to technical leaders who want to shape the future of banking by applying cutting-edge research to real-world customer experiences. The role offers the opportunity to work on high-impact, undefined problems within a collaborative environment that values innovation and responsible AI development.

This senior lead machine learning engineering role places the candidate within an Agile team 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. The position requires leading teams, managing model governance, and utilizing cloud-based architectures for scalable solutions. The role is appealing due to the opportunity to apply the latest innovations in machine learning engineering, work with state-of-the-art big data technologies, and contribute to a culture of continuous learning and responsible AI. The position involves collaboration with product and data science teams to deliver impactful software solutions.

This full-time Lead Machine Learning Engineer role is based within an Agile team at Capital One, focusing on the productionization of machine learning applications at scale. The position involves designing and building ML models to solve real-world business problems, constructing optimized data pipelines, and ensuring high availability and performance of deployed systems. Key responsibilities include collaborating with product and data science teams, implementing continuous integration and deployment practices, and maintaining responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in cloud-based architectures and distributed computing while working with cross-functional teams. It offers a collaborative environment focused on technical growth and the opportunity to lead the development of state-of-the-art big data solutions.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems and large language models to transform banking experiences. Key responsibilities include building and fine-tuning foundation models, conducting high-impact research on reinforcement learning and optimization, and collaborating with cross-functional teams to deploy scalable AI solutions. The position offers the opportunity to work with cutting-edge technologies like PyTorch and AWS while contributing to a culture that values innovation, ethical AI practices, and solving undefined problems. The role supports a mission to bring humanity and simplicity to financial services through advanced machine learning.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing model performance for latency and cost, and implementing governance and observability tools using technologies like PyTorch and AWS. This position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world products. The role offers the opportunity to shape the long-term technical vision of foundational AI while working in a collaborative environment that values innovation and high-quality engineering.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems to transform banking services. Key responsibilities include designing and deploying large language model solutions, optimizing foundation model training and inference, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates seeking to apply state-of-the-art research to real-world problems while contributing to a technical vision that impacts millions of customers. The role offers the opportunity to work in a collaborative environment that values innovation, technical excellence, and the mission of bringing humanity to financial services.

The Distinguished AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and establishing governance and observability for production AI. The position leverages a broad stack of open-source and cloud technologies to solve complex, undefined problems. This opportunity appeals to candidates seeking to lead technical vision, influence cross-functional stakeholders, and apply cutting-edge research to real-world financial products. The role offers a collaborative environment dedicated to innovation and high-impact engineering, with a hybrid work arrangement based on the specific location.

This senior lead machine learning engineering role places the candidate within an Agile team at Capital One, focusing on the productionization of scalable machine learning systems. 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 high availability, performance, and adherence to responsible AI practices. The role is appealing for its opportunity to work with emerging technologies, drive innovation in big data applications, and foster a collaborative culture that values continuous learning. The position supports remote flexibility and offers a dynamic environment for professionals with extensive experience in distributed computing and ML architecture.

The Senior Director, Applied Research role leads the AI Foundations team at Capital One, focusing on building trustworthy and scalable AI systems to transform customer banking experiences. This people management position guides applied scientists in developing large-scale foundation models, from design and training to validation and implementation. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, leveraging advanced technologies like PyTorch and AWS to analyze vast data sets, and translating complex research into tangible business goals. The role appeals to innovative leaders passionate about pushing the boundaries of machine learning while fostering talent development. It offers the opportunity to represent the company in the global research community and work on high-impact projects that redefine how customers interact with their finances.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale AI systems to transform customer banking experiences. The position involves partnering with cross-functional teams to build AI foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on state-of-the-art projects with a collaborative culture that values innovation and ethical AI practices. The position requires a strong engineering mindset to deliver models at scale and supports professional growth through engagement with emerging technologies and high-impact research agendas.

This senior management role leads a team of Machine Learning Engineers within an Agile unit focused on productionizing ML applications at scale. The position involves overseeing the architectural design, development, and deployment of machine learning models while ensuring high availability and performance. Key responsibilities include guiding cross-functional collaboration with product and data science teams, optimizing cloud-based data pipelines, and enforcing best practices in responsible AI and model governance. The role appeals to leaders seeking to drive innovation in a collaborative environment where they can apply emerging technologies to solve complex business problems. The position requires a blend of technical expertise in distributed computing and people management to mentor engineers and deliver state-of-the-art solutions.

This senior leadership role within Capital One's Enterprise Platforms Technology team focuses on designing, building, and scaling machine learning systems for enterprise-wide use. The position involves collaborating with product and data science teams to architect ML solutions, develop optimized data pipelines, and ensure high availability and performance of models in production. Key responsibilities include leading cross-functional Agile teams, implementing continuous integration and deployment practices, and maintaining responsible AI governance. The role appeals to candidates seeking to apply cutting-edge innovations in a collaborative environment with opportunities for professional growth and mentorship. The position requires a blend of technical expertise in Python, Scala, or Java and people management skills to drive impactful technology solutions.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems that transform customer banking experiences. The position involves partnering with cross-functional teams to build and deploy large-scale foundation models, utilizing technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include managing the full research lifecycle from design and training to evaluation and implementation, while translating complex technical concepts into tangible business value. The role is appealing for its opportunity to work on cutting-edge machine learning projects with a mission to bring humanity to finance, offering a collaborative environment that values innovation and professional growth. Candidates will engage with high-impact research to push the boundaries of current AI capabilities.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable GenAI platforms, including LLM core and agentic systems. Key responsibilities involve designing and deploying AI software components such as foundation model training, inference, and guardrails, while optimizing large-scale production systems for performance and cost. The position offers the opportunity to work with cutting-edge technologies like PyTorch and AWS Ultraclusters to solve undefined problems and shape the technical vision for the future of banking. This role appeals to those seeking a collaborative environment where they can apply state-of-the-art research to real-world challenges, driving innovation in a culture committed to bringing humanity and simplicity to financial services.