AI Research Scientist, Modeling & ToolCalling - MSL

Meta; Menlo Park (CA); On-site; USD 184,000 - 257,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta AI researchers in Menlo Park seek an AI Research Scientist for Modeling & ToolCalling within the MSL group. You will work across the full LLM post-training stack, creating high-quality training data, running evaluations, and driving end-to-end LLM capability improvements.

You will publish and contribute to frontier research while collaborating with cross-functional teams. The role offers a competitive package with bonus, equity, and benefits.

Qualifications

• 2+ years of industry research in LLM/NLP, CV, or related AI/ML models.
• Deep, practical experience in LLM post-training.
• Publications in top conferences (ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) or significant industry influence.

Responsibilities

• Work across the full LLM post-training stack.
• Build high-quality training data and run evaluations.
• Lead end-to-end technical projects and hill-climbing on LLM capabilities.
• Conduct research on improved training and data curation strategies.

Skills

LLM post-training

NLP

Computer vision

Job description

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.AI Research Scientist, Modeling & ToolCalling - MSL Responsibilities:Work across the full LLM post-training stackBuilding high-quality training data, and designing and running evaluationsExecute and iterate on post-training runsOwn end-to-end LLM capability “hill-climbing”Conduct research on improved training and data curation strategiesLead complex technical projects end-to-endMinimum Qualifications:2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML modelsDeep, practical experience in LLM post-trainingPublished 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 AIPreferred Qualifications:Extensive experience working on long horizon agents, agentic tool use, personalization, and/or searchExperience working on frontier-quality, state-of-the-art Large Language ModelsFirst-author publications at top peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.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 [e-mail].$184,000/year to $257,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.