Jobs at Impact Scale

This senior distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within the Intelligent Foundations and Experiences team. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost efficiency. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for foundational AI. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to solve undefined problems in a collaborative environment that values technical excellence and innovation. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This distinguished AI engineering 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 ensure scalability and low latency. 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 of the organization. The role is appealing for its opportunity to lead breakthrough product experiences that transform banking, offering a culture that values innovation, technical excellence, and responsible AI deployment. The position is based in major hubs including Cambridge, McLean, or New York.

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.

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.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable GenAI platforms, including LLM core and agentic systems. Key responsibilities involve designing and deploying AI software components such as foundation model training, inference, and guardrails, while optimizing large-scale production systems for performance and cost. The position offers the appeal of working at the forefront of applied science to transform banking, with a collaborative culture that encourages innovation and the application of cutting-edge research. The role requires deep technical expertise in Python and cloud infrastructure to solve undefined problems and deliver high-impact customer experiences.

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-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing state-of-the-art research in production environments, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to work with cutting-edge technologies like PyTorch and AWS Ultraclusters while driving meaningful change in customer experiences. It offers a collaborative culture that values innovation and technical excellence, with a hybrid work arrangement based on the specific location.

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 Manager, Machine Learning Engineering role leads an Agile team within Capital One focused on productionizing machine learning applications at scale. The position involves designing ML architectures, developing and reviewing model code, and building optimized data pipelines to solve complex business problems. Key responsibilities include managing model retraining and monitoring, ensuring high availability and performance, and enforcing responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in distributed computing and cloud platforms while leading cross-functional teams. It offers a collaborative environment where professionals can continuously learn and drive technical strategy for state-of-the-art big data solutions.

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.

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 Lead Machine Learning Engineer role within Capital One's GenAI Workflows Serving team focuses on designing and productionizing Generative AI applications and Agentic Workflow systems at massive scale. The position involves building robust ML serving architectures using Python and Go, implementing cloud-native platforms with Kubernetes and AWS, and establishing advanced MLOps practices for continuous deployment. Key responsibilities include developing high-performance code, ensuring low latency and security for AI solutions, and collaborating with product and data science teams to solve complex business problems. The role appeals to engineers seeking to lead innovation in a collaborative Agile environment while working with cutting-edge technologies like service meshes and scalable data pipelines. The position is based in major US hubs including Cambridge, McLean, New York, and San Francisco.

This management role leads a team of data scientists within the AI Foundations group, focusing on building next-generation recommendation and personalization systems for a Fortune 200 financial institution. The position involves partnering with cross-functional teams to design, train, and deploy high-scale machine learning models using technologies like Python, AWS, and Spark. Key responsibilities include architecting scalable ML pipelines, applying advanced techniques such as Transformer-based architectures and reinforcement learning, and translating complex data insights into tangible business outcomes. The role is appealing due to its opportunity to work at the intersection of deep research and massive real-world impact, leveraging cutting-edge tools to improve customer experiences across billions of records. The team operates in a collaborative environment that values innovation, customer-centricity, 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 Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable Gen AI platforms, including agentic systems and LLM infrastructure. Key responsibilities involve designing and deploying AI software components such as foundation model training, inference, and guardrails, while optimizing large-scale production systems for performance and cost. The position requires leveraging technologies like PyTorch and AWS to drive technical vision and roadmap development. The role is appealing for its opportunity to apply cutting-edge research to transform banking, offering a collaborative environment where engineers can solve undefined problems and deliver high-impact solutions to millions of customers.

This senior distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within the Intelligent Foundations and Experiences team. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, leveraging open-source technologies, and shaping the long-term technical vision for foundational AI infrastructure. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while working in a culture that values innovation, technical excellence, and ethical AI deployment. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

The Senior Manager, Exhibitions & Loans leads the strategic growth and execution of the Walt Disney Archives' touring exhibitions and loan programs. This role oversees a multidisciplinary team responsible for planning, developing, and installing large-scale exhibits while managing complex contracts and negotiations with global partners. Key duties include driving revenue generation through venue partnerships, preparing long-term business strategies, and collaborating with internal stakeholders to align content priorities. The position offers the opportunity to shape the future of Disney heritage storytelling on a worldwide stage. It appeals to professionals seeking a dynamic environment where creative legacy meets business strategy, featuring a mix of office-based leadership and travel for location scouting and installations.

The Senior Product Manager II role within Disney Entertainment & ESPN Technology focuses on redefining TV advertising through the Ad Platforms team. The position involves driving product strategy for the DRAX platform, managing programmatic initiatives, and owning the roadmap for CTV automated marketplaces. Key responsibilities include collaborating with engineering and business development partners, prioritizing backlog items for Scrum teams, and implementing AI-driven optimizations to enhance viewer-first ad experiences. This opportunity appeals to candidates passionate about building the future of media infrastructure at a massive scale, offering the chance to shape industry norms for millions of consumers across Disney+ and ESPN. The role supports a culture of innovation and impact within a fast-paced environment.

The Sr Product Manager II role within Disney Entertainment and ESPN Product & Technology focuses on leading the global rights distribution of content through licensing partner channels. The position serves as a strategic bridge between business stakeholders, design, and engineering to define product vision and execute scalable solutions for the content supply chain. Key responsibilities include utilizing modern discovery methods to solve complex problems, developing lean business cases, managing product backlogs, and driving cross-functional teams through Agile processes to deliver high-impact releases. This opportunity appeals to innovators seeking to shape the future of media distribution at a global scale, offering the chance to work with iconic brands like Disney+ and ESPN. The role fosters a culture of creativity and technical excellence, providing significant growth potential through mentorship and the chance to solve distinctive challenges in a fast-paced, collaborative environment.

The Senior Director, Events role leads strategy and operations for a global events team within the Marketing & External Communications department at Parexel. Key responsibilities include developing comprehensive global event strategies, managing the end-to-end execution of large-scale conferences and sponsorship initiatives, and overseeing budget optimization and risk mitigation. The position also involves crafting executive communications and leading post-event analysis to drive continuous improvement. This opportunity appeals to professionals seeking a remote work arrangement with significant travel requirements, offering a platform to shape brand identity and engage international stakeholders in a mission-driven clinical research environment.

This full-time Senior Marketing Manager role focuses on executing day-to-day operations for an established marketing function within a product development studio. The position involves managing content production, SEO implementation, directory channel operations, and HubSpot workflow maintenance while overseeing AI agents that support these functions. The role appeals to candidates seeking high autonomy and ownership, offering a fully remote environment with flexible hours and a culture that prioritizes impact over titles. The team provides a clean, ready-to-use marketing stack and opportunities for rapid professional growth through direct collaboration with leadership.

The Director of SEO and Agentic Search leads the Growth Team at LawnStarter, a leading home services marketplace, to define organic strategy across a multi-brand portfolio. The role focuses on shifting from traditional ranking optimization to securing citations in AI-powered search engines like Google AI Overviews and ChatGPT. Key responsibilities include establishing a vision for AI visibility, managing large-scale technical SEO infrastructure, directing data-driven content production, and rebuilding a team to execute a new discovery playbook. This position appeals to strategic leaders seeking to operate at the intersection of product, engineering, and emerging AI technologies without engineering bottlenecks. The role offers high visibility with direct reporting to the CMO, the opportunity to shape company-wide priorities, and a culture that values rapid execution and revenue impact over traditional traffic metrics.

The Senior Forward Deployed Engineer role serves as a technical leader bridging Handshake's engineering team with strategic AI lab partners in San Francisco. Key responsibilities include owning the end-to-end deployment lifecycle, translating ambiguous customer requirements into scalable architecture, and mentoring engineers on best practices. The position requires deep expertise in ReactJS, TypeScript, and cloud infrastructure to build production-grade solutions for high-impact data projects. This opportunity appeals to candidates seeking to shape the future of AI infrastructure at a rapidly growing company. It offers a collaborative culture with world-class researchers, significant equity ownership, and comprehensive benefits including wellness stipends and professional development funds. The role is based in the San Francisco office with a five-day in-person schedule.