Jobs at Simplicity Group

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable, responsible large language model infrastructure and foundation model hosting. Key responsibilities include designing and deploying AI software components such as LLM inference, similarity search, and guardrails, while optimizing system performance for latency and cost using technologies like PyTorch and AWS. The position appeals to candidates seeking to lead technical vision for high-impact banking applications that enhance customer experiences. The role offers a collaborative environment where engineers can apply cutting-edge research to solve undefined problems and mentor teams, with opportunities to work on proprietary solutions that serve millions of users.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable Gen AI platform services. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and implementing guardrails using technologies like PyTorch and AWS. Key responsibilities include optimizing model performance for cost and latency, contributing to the technical roadmap, and collaborating with cross-functional partners to deliver innovative banking solutions. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment that values technical excellence and ethical AI development. It offers the opportunity to lead the creation of transformative customer experiences while working with a world-class engineering team.

This distinguished AI engineering role at 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 cost and latency, and collaborating with cross-functional partners to deliver AI-powered products. The position appeals to candidates seeking to apply state-of-the-art research in production environments while shaping the technical vision for foundational AI. The role offers the opportunity to work with a broad stack of open-source and cloud technologies in a culture that values innovation, technical excellence, and solving complex, undefined problems.

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 analyze vast datasets, 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 research while solving undefined business problems. It offers a collaborative environment that values innovation, technical depth, and the opportunity to work on high-impact projects that directly influence customer interactions. The role is based in major hubs including Cambridge, McLean, and New York.

The Distinguished AI Engineer role at 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-scale AI components such as foundation model training and LLM inference, optimizing system performance for cost and latency, and collaborating with cross-functional partners to deliver innovative product experiences. This position appeals to technical leaders who thrive on solving undefined problems and shaping the long-term technical vision for AI infrastructure. The role offers the opportunity to work with cutting-edge open-source technologies and a collaborative culture dedicated to bringing humanity and simplicity to financial services.

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.

The Sr. Distinguished AI Engineer role at Capital One is a senior leadership position within the Intelligent Foundations and Experiences team, focused on building responsible and scalable AI systems for the banking sector. Key responsibilities include designing and deploying large-scale AI components such as foundation model training and LLM inference, optimizing system performance for cost and latency, and contributing to the long-term technical vision for foundational AI. The position appeals to candidates who thrive on solving undefined problems and applying cutting-edge research to real-world products. It offers the opportunity to work with a diverse stack of open-source and cloud technologies while influencing cross-functional stakeholders. The role is based in various US locations including McLean, Richmond, New York, Cambridge, and San Francisco.

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 senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure for large language model inference and foundation model hosting. Key responsibilities include designing and deploying AI software components, optimizing LLM performance for cost and latency, and collaborating with cross-functional partners to integrate advanced AI solutions into banking products. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world systems. It offers the opportunity to shape the long-term technical vision of foundational AI while working in a culture that values innovation, quality, and the transformative impact of technology on customer experiences.

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 to enhance 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 technical roadmap for foundational AI infrastructure. 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 projects. The position supports a culture of innovation and technical excellence, allowing engineers to lead initiatives that redefine customer and associate experiences.

The Senior Distinguished AI Engineer role at 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 solve complex, undefined problems while shaping the long-term technical vision for foundational AI. This opportunity appeals to those seeking to apply cutting-edge research in a high-impact environment, offering the chance to work on systems that serve millions of customers with a focus on innovation and ethical AI deployment.

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 cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates seeking to apply cutting-edge research to real-world problems in a collaborative environment that values technical excellence and innovation. The role offers the opportunity to shape the long-term technical vision of foundational AI systems while working with a diverse, cross-functional team.

The 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 including PyTorch, AWS, and vector databases to deliver high-impact products. This opportunity appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can shape the technical vision for enterprise AI. The role offers the chance to work on complex, undefined problems that directly enhance customer experiences while contributing to a culture of innovation and technical excellence.

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 Sr. Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and 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 collaborating with cross-functional partners to deliver AI-powered products. The position appeals to technical leaders who enjoy solving undefined problems and applying cutting-edge research to real-world challenges. The role offers the opportunity to shape the long-term technical vision of foundational AI systems while working in a culture that values innovation, quality, and ethical AI deployment.

The Sr. 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 collaborating with cross-functional partners to deliver AI-powered products. The position leverages advanced technologies like PyTorch and AWS to solve complex, undefined challenges while contributing to the long-term technical vision. This opportunity appeals to candidates seeking to apply state-of-the-art research in a high-impact environment with a culture of innovation and ethical AI. The role is based in various US locations including McLean, Richmond, New York, Cambridge, and San Francisco.

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.

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 distinguished AI engineering role at Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. The position involves designing and deploying large-scale AI components, including foundation model training and large language model inference, while optimizing performance for cost and latency. Engineers collaborate with cross-functional partners to integrate state-of-the-art technologies like PyTorch and vector databases into production environments. The role appeals to those seeking to lead technical vision and mentor teams while solving undefined, high-impact problems in a culture that values innovation and ethical AI. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure to transform banking services. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and optimization techniques for 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 vision for the organization. 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 projects that redefine customer experiences. The position supports a culture of innovation where engineers are encouraged to solve undefined challenges and mentor others while working in a collaborative environment.