We are seeking AI researchers for the Modeling & ToolCalling team within Meta Superintelligence Labs. This team is focused on LLM post-training, with emphasis on advancing long-horizon agentic tool use, search, personalization, and other frontier capabilities required for models to operate effectively in real-world settings.
Responsibilities
Work across the full LLM post-training stack Building high-quality training data, and designing and running evaluations Execute and iterate on post-training runs Own end-to-end LLM capability “hill-climbing” Conduct research on improved training and data curation strategies Lead complex technical projects end-to-end
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Currently has, or is in the process of obtaining, a PhD degree in Computer Science or a related technical field 2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML models Deep, practical experience in LLM post-training Experience as a technical lead on a team and/or leading complex technical projects from end to end Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI Extensive experience working on long horizon agents, agentic tool use, personalization, and/or search Experience working on frontier-quality, state-of-the-art Large Language Models First-author publications at top peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)