Jobs at Lightning Minds

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 Senior Manager role within the AI Foundations team leads the development of scalable machine learning and natural language processing solutions for Capital One's mobile applications. The position involves partnering with cross-functional groups to design, train, and operationalize large language models that power personalized customer experiences and digital assistants. Key responsibilities include leveraging advanced technologies like PyTorch and AWS to build resilient systems serving millions of users, while translating complex technical concepts into clear business strategies. The role appeals to innovative leaders seeking to drive the next wave of generative AI disruption in a customer-first culture. It offers the opportunity to shape next-generation financial tools while working in a collaborative environment that values talent development and technical excellence.

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.

This Principal Data Scientist role within the AI Foundations team focuses on developing scalable machine learning solutions for Capital One's mobile applications. The position involves partnering with cross-functional groups to design and operationalize advanced Natural Language Processing models and Large Language Models for customer-facing features. Key responsibilities include leveraging technologies like PyTorch and AWS to build resilient systems serving millions of users and translating complex technical concepts into business value. The role appeals to innovators seeking to drive the next wave of generative AI disruption in a customer-first environment. It offers the opportunity to work on high-impact projects that help customers manage their finances while fostering a culture of continuous learning and technical leadership.

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 production-ready AI products, optimizing model performance at scale, and translating complex research into tangible business value. The role appeals to candidates seeking to lead high-impact applied research in a culture that values innovation, ethical AI practices, and professional growth. It offers the opportunity to work on cutting-edge projects that redefine customer interactions, with a focus on building scalable infrastructure for next-generation intelligent systems.

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 and training foundation models from scratch, leveraging technologies like PyTorch and AWS to extract insights from massive datasets, and collaborating with cross-functional teams to deploy scalable AI solutions. The role appeals to candidates passionate about pushing the boundaries of machine learning research, offering the opportunity to work on high-impact projects that directly influence customer interactions. It provides a dynamic environment for those with a PhD or extensive experience in deep learning, emphasizing innovation, technical leadership, and the chance to shape the future of trustworthy AI infrastructure.

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 and operationalize Natural Language Processing models and Large Language Models that serve over 80 million customers. Key responsibilities include leveraging technologies like PyTorch and AWS to build generative AI features, translating complex technical concepts into business value, and driving innovation in customer-facing digital experiences. This position is appealing for its opportunity to shape the future of financial technology at a Fortune 200 company, offering a collaborative culture that values creativity, customer focus, and professional growth. The role is based in McLean, New York, or San Jose.

The Applied Researcher I role is based within Capital One's AI Foundations team, focusing on developing trustworthy and reliable AI systems to transform banking experiences. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, building and training large-scale foundation models using technologies like PyTorch and AWS, and translating complex research into tangible business solutions. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on high-impact projects that redefine customer interactions. The role supports a collaborative culture that values innovation, ethical decision-making, and talent development, with opportunities to engage with state-of-the-art research and production environments.

This Manager, Data Science role within the AI Foundations team focuses on building scalable machine learning and natural language processing solutions for Capital One's mobile applications. The position involves leading the development of generative AI features, such as the Eno digital assistant, by designing, training, and operationalizing large language models for over 80 million customers. Key responsibilities include partnering with cross-functional teams to deliver innovative products, leveraging advanced technologies like PyTorch and AWS, and translating complex technical concepts into business value. The role is appealing for its opportunity to drive next-generation customer experiences at a Fortune 200 company, offering a culture that values innovation, customer-centricity, and professional growth in a dynamic, data-driven environment.

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.

The Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying trustworthy artificial intelligence systems to transform banking experiences. Key responsibilities include building AI foundation models from design through production, leveraging technologies like PyTorch and AWS to analyze vast datasets, and collaborating with cross-functional teams to integrate state-of-the-art research into customer-facing products. The position appeals to innovative researchers passionate about solving undefined problems and driving the next generation of intelligent services. It offers a dynamic environment where candidates can pursue a personal research agenda, publish findings, and work with cutting-edge tools in a culture that values both technical excellence and ethical decision-making. The role is based in major hubs including Cambridge, McLean, New York, and San Jose.

The Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform banking experiences. Key responsibilities include building and training large-scale foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast data sets, and collaborating with cross-functional teams to deploy AI solutions into production. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on high-impact research that directly influences customer interactions. The role supports a culture of innovation and continuous learning, allowing researchers to define their own agendas while working with state-of-the-art tools in a collaborative environment.

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 Applied Researcher I role is a full-time position within Capital One's AI Foundations team, focusing on developing trustworthy and scalable artificial intelligence systems for the banking sector. Key responsibilities include building and training large-scale foundation models, collaborating with cross-functional teams of data scientists and engineers to deploy AI products, and translating complex research into tangible business solutions. The position offers the appeal of working with cutting-edge technologies like PyTorch and AWS to solve undefined problems in a culture that values innovation and customer impact. While the listing mentions specific locations, the role emphasizes high-impact research and the opportunity to shape the future of customer experiences through advanced machine learning.

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, conducting high-impact research on emerging technologies, and translating complex technical concepts into tangible business solutions. The role appeals to candidates seeking to work at the forefront of AI innovation in a collaborative environment that values creativity, leadership, and ethical decision-making. It offers the opportunity to drive the next generation of customer interactions through cutting-edge machine learning research and engineering.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform 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 appeals to candidates passionate about pushing the boundaries of machine learning and deep learning, offering the opportunity to work on high-impact projects that redefine customer interactions. The position is based in major hubs including Cambridge, McLean, New York, and San Francisco, providing a collaborative environment dedicated to innovation and ethical AI development.

The Applied Researcher I role is based within the AI Foundations team at Capital One, focusing on developing trustworthy and reliable AI systems for the banking sector. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, building and training large-scale foundation models using technologies like PyTorch and AWS, and translating complex research into tangible business solutions. The position appeals to candidates passionate about pushing the boundaries of machine learning to reimagine customer experiences. It offers a collaborative environment where researchers can own their agendas and work on high-impact projects that combine academic rigor with real-world application.

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.

This Principal Data Scientist role within the AI Foundations team focuses on developing scalable machine learning and natural language processing solutions for Capital One's mobile applications. The position involves leading the design, training, and operationalization of large language models to power features like the Eno digital assistant and personalized customer experiences. Key responsibilities include collaborating with cross-functional product and engineering teams, leveraging technologies such as PyTorch and AWS, and translating complex AI concepts into tangible business value. The role is appealing for its opportunity to drive innovation at a massive scale serving over 80 million customers, offering a dynamic environment where emerging generative AI technologies are actively applied to solve undefined problems. The position supports a customer-first culture and emphasizes professional growth through talent development and technical leadership.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale artificial intelligence systems to transform 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 that directly impact customer interactions. It emphasizes a culture of innovation, leadership, and continuous learning within a collaborative environment dedicated to trustworthy and reliable AI.