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The Applied Researcher I will collaborate with data scientists, software engineers, and product managers to deliver AI-driven products that enhance customer interaction. Responsibilities include developing AI foundation models, engaging in applied research, and translating complex work into business goals.

As an Applied Researcher II at Capital One, you will collaborate with a cross-functional team to develop AI-powered products, analyze large datasets using various technologies, and push the boundaries of applied research to enhance customer experiences. This role requires innovative thinking, leadership, and technical expertise in AI methodologies and deep learning models.

The Applied Researcher II at Capital One will collaborate with cross-functional teams to deliver AI-powered products. They will leverage technologies like Pytorch and AWS to analyze large datasets, develop AI foundation models, and engage in applied research to enhance customer experiences while translating complex insights into business goals.

As an Applied Researcher I at Capital One, you will collaborate with cross-functional teams to develop AI-powered products, utilizing a variety of technologies to extract insights from data. You will engage in research and push AI developments to enhance customer experiences, while also leveraging interpersonal skills to connect technical work to business goals.

As an Applied Researcher I at Capital One, you will join a cross-functional team to deliver AI-powered products, develop AI foundation models, and conduct applied research to enhance customer experiences. You will leverage a range of technologies and apply innovative AI methodologies in your work.

The Applied Researcher II will work with a cross-functional team to deliver AI-powered products, utilizing technologies like Pytorch and AWS. The role involves developing AI foundation models, engaging in applied research, and translating complex work into business goals.

The Applied Researcher II will collaborate with data scientists and engineers to develop AI-powered products, conduct applied research, and create foundation models. Responsibilities include leveraging technologies like Pytorch and AWS, and translating complex AI work into business goals.