Research Scientist Intern, User Modeling and Reinforcement Learning (PhD)

Job description

Meta is seeking Research Scientist Interns to join Core Ads Growth (CAG), where we build AI that improves ad relevance and helps advertisers succeed. Our research focuses on how user intent evolves across interactions and how ads systems can make better decisions when outcomes unfold over days, weeks, or longer. We are advancing representation learning to better understand how people's interests and intent evolve over time. You will help bring new research ideas into production systems at Meta's scale, shaping more relevant experiences and creating lasting value for people and businesses. As an intern, you will own a focused research project with close mentorship from researchers and engineers. The work connects new ideas to rigorous experiments and applications in Meta's ads systems, with opportunities to contribute to scientific publications and product development. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long, with various start dates throughout the year.