AI Research Scientist, Pre-training Data - MSL FAIR

What you'll do

• Advance research on data curation, synthetic data, and overcoming data limitations.
• Architect scalable data curation systems and pipelines and improve data tooling and workflows.
• Lead complex projects and apply specialized expertise across LLM data domains.

What they ask for

• Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience, and a PhD in Computer Science or a related technical field.
• 2+ years of industry research experience in LLM/NLP or related AI/ML models.
• Practical experience with pre-training or mid-training data curation for large foundational models and experience with organic, synthetic, agentic, or reasoning data for LLMs.
• Experience leading major technical initiatives with cross-functional impact and/or influencing strategy across multiple teams.

Nice to have

• Multiple first-author publications at leading peer-reviewed conferences and/or significant industry influence in AI.
• Hands-on experience with PyTorch, SQL, and large-scale data handling; familiarity with Spark and Hive.

Pay

$184,000/year to $257,000/year (base salary)

Tools

PyTorch, SQL, Spark, Hive

AI focus

Research and develop data curation for frontier LLMs, including synthetic, agentic, and reasoning data, across pre-training, mid-training, and post-training.