AI Research Scientist - MSL
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Before you apply
Salary$184k – $257k
LocationMenlo Park, CA
Typefull-time
SenioritySenior
Experience2+ yrs
DepartmentAI Research
EquityIncluded
Company size10,000+ people
PostedJul 18, 2026 · 3mo ago
Verified live11h ago
At a glanceSummarised by Seekless from the posting.
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)
Skills
LLM
NLP
computer vision
AI
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)