- Meta
- Menlo Park, CA
- Full-Time
- 65 days ago
- $184,000–$257,000 / year
AI Research Scientist, Modeling & ToolCalling - MSL.
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AI Research Scientist, Modeling & ToolCalling - MSL: our view in 3 lines...
- The Role:This role is for an AI research scientist focused on LLM post-training and frontier model capabilities within Meta Superintelligence Labs.
- The Person:The person will work across the full LLM post-training stack, build training data, design and run evaluations, execute post-training runs, improve data curation strategies, and lead complex technical projects end to end.
- Requirements:The ideal candidate has a PhD in Computer Science or a related technical field, 2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML models, and published research in leading peer-reviewed conferences.
About the role
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)
$184,000/year to $257,000/year + bonus + equity + benefits

