Research Scientist Intern, Generative Recommendation (PhD)

Job description

We are seeking highly motivated Research Interns to advance the next generation of generative recommendation systems. Our research brings together large language models, computer vision, generative modeling, and reinforcement learning to understand content and user preferences and generate personalized recommendations. As a Research Intern, you will collaborate with researchers and engineers to explore new approaches to personalized retrieval, ranking, and recommendation list generation. This opportunity is especially suited to researchers with backgrounds in LLMs and computer vision who want to apply diffusion models and reinforcement learning to recommendation problems.