AI Research Scientist, Modeling & ToolCalling - MSL

Meta • Menlo Park, CA • 5h ago

Summary:

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.

Required Skills:

AI Research Scientist, Modeling & ToolCalling - MSL 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)

Public Compensation:

$184,000/year to $257,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereo@types, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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