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Partner with cross-functional team to deliver AI-powered products, leverage technology stack to analyze data, build AI foundation models, engage in applied research, translate work into business goals.

The Applied Researcher I will work with a cross-functional team to deliver AI-powered products, leveraging various technologies to analyze data and build AI foundation models. Responsibilities include engaging in research, translating complex work into business goals, and developing innovative AI solutions.

Partner with a cross-functional team to deliver AI-powered products, leverage technologies to analyze data, build AI foundation models, engage in applied research, and translate complex work into tangible business goals.

As an Applied Researcher II at Capital One, you will collaborate with cross-functional teams to deliver AI-powered products, utilizing technologies like Pytorch and AWS. Your role includes building AI foundation models and engaging in applied research to enhance customer experiences with innovative AI solutions.

As an Applied Researcher II at Capital One, you will collaborate with a diverse team to develop and implement AI-powered products, utilizing a range of technologies to analyze data and create innovative solutions that enhance customer interactions. Your role involves building foundational models during all development phases and engaging in impactful applied research. You will translate complex AI concepts into clear business objectives, ensuring the responsible use of technology to serve customers effectively.

As a Manager, Product Management on the Ra Product team, you will be responsible for developing and communicating the product vision and strategy for key components of the platform. You will work closely with design, architecture, and engineering teams to prioritize the product backlog, incorporate design thinking and analytics, and ensure collaboration between teams. This role requires strong communication and leadership skills.

The Applied Researcher I role at Capital One involves partnering with cross-functional teams to deliver AI-powered products, leveraging a variety of technologies to reveal insights from data, building AI foundation models, engaging in applied research, and translating complex work into tangible business goals.