Jobs at Lightning Minds

This Applied Researcher II 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, training, and validating foundation models while collaborating with cross-functional teams of engineers and product managers to deploy scalable AI solutions. Key responsibilities include leveraging advanced 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 research in a collaborative environment that values innovation and ethical decision-making. It offers the opportunity to lead impactful projects that redefine customer interactions, with a strong emphasis on professional growth and technical excellence.

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 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 innovation and high-impact applied research, offering the opportunity to work with state-of-the-art tools on massive datasets. The role supports a collaborative culture that values creative problem-solving and professional growth, with work arrangements typically based at specific office locations including Cambridge, McLean, New York, or San Jose.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing large language models and agentic AI systems to transform customer 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 innovative researchers passionate about pushing the boundaries of AI while working in a culture that prioritizes ethical decision-making and customer impact. Candidates will engage in high-impact applied research with opportunities to lead independent agendas and contribute to industry-leading publications.

This managerial role within the AI Foundations team at Capital One focuses on developing scalable machine learning and natural language processing solutions for the company's mobile applications. The position involves leading cross-functional teams to design, train, and operationalize large language models that power features like the digital assistant Eno and personalized customer experiences. Key responsibilities include leveraging advanced technologies such as PyTorch and AWS to build resilient production systems serving over 80 million users, while translating complex technical concepts into clear business strategies. The role is appealing for its opportunity to drive innovation in generative AI, work with cutting-edge tools, and lead talent development within a data-centric culture. The position is based in McLean, New York, or San Jose.

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.

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, 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 AI-powered products, optimizing model performance for scale, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI through high-impact research and innovation. It offers the opportunity to work on cutting-edge projects that redefine customer interactions, supported by a culture that values creativity, technical excellence, and ethical AI development.

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 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 seeking to work at the forefront of machine learning innovation in a collaborative environment that values ethical AI practices and continuous learning. While the position requires a PhD or equivalent experience, it offers the opportunity to lead impactful research agendas and contribute to scalable, high-performance infrastructure. The job is based in major US hubs including Cambridge, McLean, New York, and San Jose.

The Applied Researcher I role is part of Capital One's AI Foundations team, focusing on developing trustworthy and reliable artificial intelligence systems to transform banking experiences. Key responsibilities include building AI foundation models from design through implementation, leveraging technologies like PyTorch and AWS to extract insights from large datasets, and collaborating with cross-functional teams to deliver high-impact products. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on state-of-the-art research with real-world applications. The role supports a culture of innovation and continuous learning, allowing researchers to own their agendas and translate complex technical concepts into tangible business value.

This Applied Researcher II 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, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and collaborating with cross-functional teams to deploy scalable AI solutions. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment where innovation directly improves customer interactions. It offers the opportunity to lead a research agenda, publish findings, and work with state-of-the-art infrastructure in a culture that values technical excellence and ethical AI development. The position is based in major hubs including Cambridge, McLean, New York, and San Jose.

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.

This managerial role within the AI Foundations team at Capital One focuses on developing scalable machine learning and natural language processing solutions for the company's mobile applications. The position involves leading cross-functional teams 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 process massive datasets, adapting generative AI for production environments serving over 80 million users, and translating complex technical concepts into strategic business goals. The role is appealing due to the opportunity to drive innovation at a Fortune 200 scale, work with cutting-edge AI tools, and foster a culture of talent development and creative problem-solving. The position is based in McLean, New York, or San Jose.

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 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 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.

The Senior Director, Applied Research role leads the AI Foundations team at Capital One, driving strategic direction for trustworthy and reliable AI systems within the banking sector. Key responsibilities include managing teams of applied scientists, building AI foundation models from design through implementation, and collaborating with cross-functional groups to deliver high-impact products that transform customer experiences. The position appeals to leaders passionate about emerging technologies, offering the opportunity to represent the company in the global research community and mentor talent while working with advanced tools like PyTorch and AWS. This people management role focuses on translating complex research into tangible business goals and is based in various US locations including Cambridge, McLean, New York, Richmond, and San Francisco.

The Sr. Distinguished Applied Researcher role is an individual contributor position within Capital One's AI Foundations team, focused on developing trustworthy and scalable AI systems for the banking sector. Key responsibilities include building and training large-scale foundation models across their entire lifecycle, leveraging technologies like PyTorch and AWS to extract insights from massive datasets, and collaborating with cross-functional leaders to translate complex research into tangible business solutions. The position offers the opportunity to mentor applied scientists, represent the company in the global research community, and drive strategic direction without direct people management. This role is appealing for its chance to work on cutting-edge machine learning challenges that redefine customer experiences, supported by a culture that values innovation, technical excellence, and the ethical application of AI.

This Senior Director, Applied Research role leads the AI Foundations team at Capital One, focusing on building trustworthy AI systems that transform customer banking experiences. The position involves managing teams of applied scientists while partnering with cross-functional groups to design, train, and deploy large-scale foundation models. Key responsibilities include driving strategic research direction, leveraging advanced technologies like PyTorch and AWS to analyze vast data sets, and translating complex technical concepts into tangible business value. The role appeals to innovative leaders passionate about pushing the boundaries of machine learning, offering the opportunity to represent the company in the global research community and mentor high-performing talent. This position combines deep technical expertise with people leadership in a culture dedicated to reimagining financial services through cutting-edge artificial intelligence.

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 building and customizing large language models through pre-training, fine-tuning, and reinforcement learning techniques. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS to analyze vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI while working in a collaborative environment that values innovation and customer impact. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

This distinguished individual contributor role within Capital One's AI Foundations team focuses on developing trustworthy and scalable AI systems to transform banking experiences. The position involves leading strategic research initiatives, building large-scale foundation models from design through implementation, and collaborating with cross-functional teams to deliver high-impact AI products. Key responsibilities include leveraging advanced technologies like PyTorch and AWS to analyze complex data, mentoring applied scientists, and representing the company within the global research community. The role is appealing for its opportunity to drive the next generation of customer interactions, work with cutting-edge machine learning methodologies, and influence technical direction without direct people management. The position supports a culture of innovation and requires a blend of deep technical expertise and strong interpersonal skills to translate research into tangible business value.

This full-time Senior Manager role within Lockheed Martin's Aeronautics business leads Facility Protection at Air Force Plant 4 in Fort Worth. The position oversees security, fire protection, and emergency services for a massive multi-hundred-acre site housing over 20,000 personnel. Key responsibilities include managing a large workforce of security forces and firefighters, liaising with government oversight agencies, and coordinating strategic security operations. The role offers the appeal of working on high-profile defense projects like the F-35 Lightning II within a culture that values purposeful innovation and employee development. The work arrangement features a hybrid schedule with part-time remote flexibility and a condensed 4x10 hour work week, providing significant time off alongside comprehensive benefits.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing multi-agent systems and knowledge graph technologies to transform banking operations. The position involves building scalable AI architectures using frameworks like LangGraph and MCP, designing foundation models from design through implementation, and collaborating with cross-functional teams to deliver intelligent customer experiences. The role appeals to candidates passionate about pushing the boundaries of AI research, offering the opportunity to work with cutting-edge tools on high-impact problems that redefine software development and customer service. The position requires a strong engineering mindset to deploy models at scale and supports a culture of innovation where emerging technologies are continuously evaluated and applied to real-world business challenges.