AI Research Scientist, Modeling & ToolCalling - MSL
Meta•Menlo Park, CA
•$184,000 - $257,000
About The Position
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.
Requirements
- 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
Nice To Haves
- 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)
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
Benefits
- bonus
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
