Research Scientist Intern, Agent for Recommendation (PhD)

Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. Meta is seeking Research Scientist Interns to join the Agent for Recommendation team within Facebook. Our recommendation systems help billions of people discover content every day on products such as Facebook Reels and Feed. We build AI agents for recommendation that work alongside researchers and engineers to analyze data, develop models, debug issues, run experiments, and decide what to launch. A key direction is recursive self-improvement (RSI): closing the loop so that agents propose, test, and learn from improvements to production models, and get better at it with every iteration. This raises open research questions in agent reasoning and planning, grounding in domain knowledge and code, idea generation, memory and learning from feedback, evaluation, and human-AI collaboration, on frontier systems such as large-scale generative recommenders. Interns will own one focused research problem at the intersection of LLM agents, machine learning, and recommender systems, selected based on their expertise and team priorities. They will build and evaluate solutions on production-scale systems, with a path to both product impact and publication. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.