Jobs at Impact Scale

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.

This full-time, fixed-term Director role within the Corporate Marketing team at Culture Amp focuses on leading global public relations and analyst relations strategies. The position involves shaping corporate narratives around AI and people science, managing regional PR agencies, and overseeing media and analyst engagement across North America, EMEA, and APAC. Key responsibilities include developing thought leadership content, coordinating executive spokespeople, and driving measurement of communication impact. The role offers the appeal of working for a leading employee experience platform with a mission to improve workplace culture, featuring a collaborative environment and access to professional growth resources. While the position is based in San Francisco, the company expects employees to work from their local office, such as Chicago, approximately two days per week.

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.

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 senior business analyst role at Solenis focuses on driving operational efficiency through the management of digital transformation and productivity programs. The position involves leading cross-functional teams to execute complex projects, developing multi-year business cases, and aligning targets with P&L leaders for annual planning. Key responsibilities include facilitating governance processes, presenting results to executives, and establishing change management structures to ensure successful project adoption. The role offers the opportunity to work within a global, high-performing organization recognized for its management excellence, providing a dynamic environment for solving complex challenges. This position is designed to operate at a high tempo and will conclude once the designated digital projects are fully implemented.

This distinguished AI engineering 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 modern stack of open-source and cloud technologies to solve complex, undefined problems. The role appeals to candidates seeking to lead technical vision, influence cross-functional stakeholders, and apply cutting-edge research to real-world impact. It offers a collaborative environment dedicated to innovation and high-leverage business outcomes.

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.

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 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.

This principal product management role leads the AI strategy for Azure NetApp Files, a joint enterprise storage service between NetApp and Microsoft. The position sits at the intersection of cloud infrastructure and artificial intelligence, focusing on defining multi-year roadmaps for training, inference, and agentic workflows. Key responsibilities include translating emerging AI patterns into product requirements, managing joint development with Microsoft teams, and driving cross-functional leadership to deliver differentiated data solutions. The role appeals to strategic thinkers seeking to shape the future of enterprise AI infrastructure within a culture that rewards bold innovation and ownership. It offers a hybrid work arrangement that balances in-person collaboration with flexibility, allowing the incumbent to influence high-impact technology decisions across regulated industries.

This Distinguished Engineer role within NetApp's Cloud Business Unit focuses on architecting and scaling storage solutions integrated with Amazon Web Services, Microsoft Azure, and Google Cloud. The position involves leading the design of fault-tolerant, high-performance control plane architectures and building modern CI/CD and QA frameworks to support hundreds of developers. Key responsibilities include solving complex engineering challenges, mentoring senior engineers, and contributing to intellectual property through patents. The role appeals to hands-on technical leaders who wish to drive innovation in enterprise data infrastructure while working in a culture that values bold thinking and ownership. NetApp offers a hybrid work arrangement that balances in-office collaboration with flexibility, supporting a diverse and inclusive environment where employees can shape the future of multicloud storage.

This principal product management role leads the AI strategy for Azure NetApp Files, a joint enterprise storage service between NetApp and Microsoft. The position sits at the intersection of cloud infrastructure and artificial intelligence, requiring the owner to define multi-year roadmaps for training, inference, and agentic workflows while balancing hyperscaler constraints with enterprise data services. Key responsibilities include translating emerging AI patterns into product requirements, collaborating with Microsoft teams on joint go-to-market narratives, and driving cross-functional leadership to deliver scalable data solutions. The role appeals to strategic thinkers seeking to shape the future of AI infrastructure within a culture that rewards bold innovation and ownership. It offers a hybrid work arrangement and the opportunity to influence technology used across major industries including healthcare, finance, and manufacturing.

This distinguished AI engineering 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 establishing governance and observability for production AI. The position leverages a modern stack of open-source and cloud technologies to solve complex, undefined problems. The role appeals to candidates seeking to lead technical vision, influence cross-functional stakeholders, and apply cutting-edge research to real-world impact. It offers a collaborative environment where engineers can mentor teams and drive innovation in a mission-driven 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 groups 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 appeals to candidates seeking to drive innovation with emerging technologies while fostering a culture of continuous learning and technical excellence. The position offers opportunities to work with cloud-based architectures and manage complex data-intensive solutions at scale.

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 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 and influence cross-functional stakeholders while working on high-impact applications that enhance customer experiences. The role offers a collaborative environment dedicated to advancing state-of-the-art science and engineering in a mission-driven culture.

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.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable generative AI platforms. Key responsibilities include designing and deploying large language model systems, optimizing inference 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 banking challenges while collaborating with cross-functional partners. The role offers the opportunity to shape the technical vision for foundational AI systems and work in a culture that values innovation, technical excellence, and impactful product experiences.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on customizing and fine-tuning large language models to transform banking services. The position involves designing and deploying scalable AI infrastructure, including foundation model training, inference optimization, and implementing safety guardrails using technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to enhance system performance and contributing to the long-term technical vision for foundational AI systems. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment that values responsible AI innovation. It offers the opportunity to work on high-impact projects that directly improve customer experiences while fostering professional growth through mentorship and cross-functional leadership.