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
Minimum 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
Preferred Qualifications
• 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)
