Jobs at Source One Technical Solutions

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 Senior Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure to transform banking services. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and establishing governance and observability frameworks. The position leverages a modern stack of open-source and cloud technologies to deliver high-impact products. This opportunity appeals to candidates seeking to lead technical vision in a collaborative environment where emerging AI capabilities are applied to solve complex, undefined problems. The role offers the chance to work with world-class talent on systems that directly enhance customer experiences while maintaining a strong commitment to ethical AI practices.

This full-time Lead Machine Learning Engineer role within the Enterprise Platforms Technology team focuses on designing, building, and scaling production-ready machine learning systems for a major financial institution. The position involves collaborating with cross-functional Agile teams to architect ML solutions, develop optimized data pipelines, and ensure high availability and performance of deployed models. Key responsibilities include overseeing model retraining and monitoring, implementing continuous integration and deployment practices, and maintaining strict governance for responsible AI. The role appeals to candidates seeking to apply advanced technical skills in Python, Scala, or Java while working with cloud-based architectures at scale. It offers a dynamic environment for professional growth, the opportunity to lead engineering initiatives, and a collaborative culture centered on innovation and complex problem-solving.

This full-time 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. The position involves designing and deploying large language model infrastructure, including training, inference, and optimization techniques to enhance performance 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 in a culture that values innovation and ethical AI. The position offers the opportunity to work with a broad stack of open-source and cloud technologies while driving high-impact solutions for millions of customers.

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.

The Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy and scalable artificial intelligence systems to transform banking experiences. Key responsibilities include building and training large-scale foundation models, collaborating with cross-functional teams of engineers and product managers to deploy AI solutions, and translating complex research into tangible business value. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work with cutting-edge technologies like PyTorch and AWS while contributing to high-impact research that directly improves customer interactions. The role is based in major US hubs including Cambridge, McLean, New York, and San Francisco, with a strong emphasis on innovation, technical excellence, and professional growth within a collaborative engineering culture.

This 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 solutions, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools. The position leverages a modern stack including PyTorch, AWS, and Huggingface to deliver high-impact products. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can shape the technical vision for foundational AI. It offers the opportunity to work on complex, undefined problems with a team dedicated to bringing humanity and simplicity to financial services.

This senior leadership role within Capital One's Enterprise Platforms Technology team focuses on designing, building, and scaling machine learning applications for enterprise use. The position involves collaborating with product and data science teams to architect ML systems, 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 offers the opportunity to work with emerging technologies in a collaborative environment that values innovation and professional growth. While specific work arrangements are not detailed in the summary, the position requires significant experience in distributed computing and team leadership.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale AI foundation models to transform customer banking experiences. The position involves collaborating with cross-functional teams to design, train, and validate deep learning models using technologies like PyTorch and AWS, while translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI through high-impact research on topics such as large language models, graph neural networks, and training optimization. It offers the opportunity to work on cutting-edge infrastructure and contribute to industry-leading product innovations in a collaborative environment that values creativity, technical excellence, and ethical AI development.

This full-time Lead Machine Learning Engineer role operates within an Agile team at Capital One, focusing on the productionization and scaling of machine learning systems. The position involves designing and building ML models to solve complex business problems, constructing optimized data pipelines, and ensuring high availability through continuous integration and deployment practices. Key responsibilities include collaborating with product and data science teams, managing model retraining and monitoring, and maintaining responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in cloud-based architectures and distributed computing while leading teams in a collaborative environment. The position requires a blend of technical expertise in Python, Scala, or Java and leadership experience, offering opportunities for professional growth in a mission-driven organization.

This full-time Lead Machine Learning Engineer role operates within an Agile team at Capital One, focusing on the productionization of scalable machine learning applications. The position involves designing and building ML models to solve real-world business problems, constructing optimized data pipelines, and ensuring high availability through continuous integration and deployment practices. Key responsibilities include collaborating with product and data science teams, managing model retraining and monitoring, and adhering to responsible AI governance standards. 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 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, constructing optimized data pipelines, and ensuring high availability through continuous integration and deployment practices. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while leveraging cloud-based architectures. The role is appealing for its opportunity to apply the latest innovations in machine learning engineering within a collaborative environment that values responsible AI. The position is based in McLean, VA, New York, NY, or Plano, TX, with a hybrid work arrangement involving on-site collaboration.

This Senior Lead AI Engineer role within the Intelligent Foundations and Experiences team at Capital One focuses on building responsible and scalable AI infrastructure to transform banking services. Key responsibilities include designing and deploying large language model systems, optimizing training and inference for performance and cost, and establishing governance and observability for production AI. The position offers the opportunity to work with cutting-edge technologies like PyTorch and AWS while shaping the technical vision for foundational AI. The role is appealing for its mission to bring humanity to banking through innovation, offering a collaborative environment where engineers can solve undefined problems and mentor teams. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

This full-time Lead Machine Learning Engineer role within Capital One's Enterprise Platforms Technology team focuses on productionizing scalable machine learning applications. The position involves designing and building ML models to solve complex business problems, constructing optimized data pipelines, and ensuring high availability through robust cloud-based architectures. Key responsibilities include collaborating with cross-functional Agile teams, implementing continuous integration and deployment practices, and maintaining responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in distributed computing and deep learning frameworks while leading technical initiatives. It offers a collaborative environment with opportunities for professional growth and the chance to impact enterprise-scale systems.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One, focusing on the productionization of machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and ensuring high availability through continuous integration and deployment practices. The position requires collaboration with product and data science teams to maintain model governance and implement responsible AI standards. The role is appealing for its opportunity to work with emerging technologies in a collaborative environment that values continuous learning and innovation. The position is based in McLean, VA, New York, NY, or Plano, TX, with a hybrid work arrangement involving on-site collaboration.

This full-time Lead Machine Learning Engineer role involves leading an Agile team to productionize scalable machine learning applications within Capital One's technology division. Key responsibilities include designing ML architectures, building and optimizing data pipelines, and ensuring high availability and performance of models in production using languages like Python and Java. The position emphasizes collaboration with product and data science teams to solve complex business problems while adhering to responsible AI practices. The role is appealing for its focus on continuous learning, exposure to emerging technologies, and the opportunity to lead teams in a collaborative environment. The position is based in McLean or Richmond, Virginia, with a hybrid work arrangement.

This Lead AI Engineer role within the Intelligent Foundations and Experiences team at Capital One focuses on building responsible and scalable AI infrastructure to transform banking services. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and model governance, while leveraging technologies like PyTorch and AWS. Key responsibilities include optimizing system performance for cost and latency, collaborating with cross-functional partners to deliver AI-powered products, and contributing to the long-term technical roadmap. The role appeals to candidates passionate about applying cutting-edge research to real-world problems in a culture that values innovation, technical excellence, and ethical AI development. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing core Large Language Models and Agentic AI systems to transform banking experiences. The position involves designing, training, and validating foundation models while leveraging technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include collaborating with cross-functional teams to deliver scalable AI products, optimizing model performance for high-volume inference, and translating complex research into tangible business solutions. The role appeals to candidates seeking to work on cutting-edge AI research with a mission to create trustworthy, human-centric financial tools. It offers a collaborative environment that values innovation, technical leadership, and the opportunity to publish impactful research while working with state-of-the-art infrastructure.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing core Large Language Models and Agentic AI systems to transform banking experiences. The position involves designing and training foundation models from scratch, optimizing training and inference for massive scale, and collaborating with cross-functional teams to deploy AI solutions into production. Key responsibilities include leveraging advanced technologies like PyTorch and AWS to extract insights from complex data and translating research breakthroughs into tangible business value. The role is appealing for its opportunity to work on cutting-edge AI research with a mission to make banking more human and intelligent. It offers a collaborative environment that values innovation and technical depth, with work arrangements based in major hubs including Cambridge, McLean, New York, San Francisco, and San Jose.

The Distinguished AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to enhance scalability and cost-efficiency. The position requires collaborating with cross-functional teams to integrate advanced technologies like PyTorch and vector databases while contributing to the long-term technical vision. This opportunity appeals to candidates seeking to drive transformative change in banking through responsible AI, offering a chance to work on undefined, high-impact problems with a culture that values innovation, technical excellence, and ethical deployment.

The Sr. 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 model performance for latency and cost, and collaborating with cross-functional partners to deliver AI-powered products. The position leverages advanced technologies like PyTorch and AWS to drive innovation in foundation models and governance. This opportunity appeals to candidates seeking to apply cutting-edge research in a high-impact environment where they can shape technical vision and mentor teams. The role offers a collaborative culture dedicated to ethical AI and the chance to solve complex, undefined problems that directly enhance customer experiences.