The Visiting Scholar position at Discovery AI Lab focuses on leading research in post-training algorithms for generative recommendation systems. The role involves collaborating with a world-class team to advance efficient inference techniques and develop self-improving agent frameworks. This position offers access to Meta-scale infrastructure and the opportunity to mentor other researchers. The engagement is full-time for 12 months, either on-site or hybrid.

• PhD in Computer Science, Machine Learning, Natural Language Processing, or a related field
• Active faculty appointment or equivalent research position at a university or research institution
• Demonstrated publication record at top-tier venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, RecSys
• Expertise in post-training methods, large language models, or agentic AI systems
• Experience conducting research in collaborative, team-based environments
• Available for a full-time, 12-month on-site or hybrid engagement
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

• Lead research on post-training algorithms for generative recommendation systems
• Design and develop self-improving agent frameworks leveraging multi-agent collaboration
• Advance efficient inference techniques for large-scale generative and Mixture-of-Experts recommendation models
• Collaborate with research scientists and engineers to translate research into production-ready systems
• Mentor research scientists and engineers on the team to enhance internal capabilities

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.