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AI Research Scientist, Pre-training Data - MSL FAIR

Meta· Artificial Intelligence
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Menlo Park, CA$184k - $257kFull-timePosted 7mo ago

About the role

AI research scientist role focused on building data foundations for Meta's large language models within Meta Superintelligence Labs (MSL) under FAIR. Responsibilities include data curation across pre-training, mid-training, and post-training, developing scalable data pipelines, and advancing data tooling, with emphasis on agentic, synthetic, reasoning, web, coding data and data scaling principles to enable frontier models like Llama.

Responsibilities

  • Collaborate with cross-functional teams to develop Meta’s next foundational models
  • Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
  • Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
  • Architect efficient and scalable data curation systems and pipelines
  • Execute on high priority projects in pre-training, mid-training, or post-training data curation
  • Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization
  • Lead complex technical projects end-to-end

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science or a related technical field
  • 2+ years of industry research experience in LLM/NLP or related AI/ML models
  • Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
  • Practical experience with pre-training or mid-training data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for LLMs
  • Published research in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) and/or demonstrated significant industry influence in the field of AI

Skills

Required:Cross-functional collaborationData curation for large modelsData tooling and pipelinesAgentic/synthetic/reasoning data

Benefits

  • Benefits (listed in posting)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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