AI Research Scientist, Modeling & ToolCalling - MSL

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:

1. Work across the full LLM post-training stack

1. Building high-quality training data, and designing and running evaluations

1. Execute and iterate on post-training runs

1. Own end-to-end LLM capability “hill-climbing”

1. Conduct research on improved training and data curation strategies

1. Lead complex technical projects end-to-end

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

1. Currently has, or is in the process of obtaining, a PhD degree in Computer Science or a related technical field

1. 2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML models

1. Deep, practical experience in LLM post-training

1. Experience as a technical lead on a team and/or leading complex technical projects from end to end

1. 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:

Preferred Qualifications:

1. Extensive experience working on long horizon agents, agentic tool use, personalization, and/or search

1. Experience working on frontier-quality, state-of-the-art Large Language Models

1. 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 stereotypes, 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.