Meta
Research Engineer, Pre-training Data - MSL FAIR
$184K–$257K
Menlo Park, CA · Full-time · Posted Nov 26, 2025
- Experience
- 2+ years of industry research experience in LLM/NLP or related AI/ML models.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. Master's degree or PhD is also listed.
About the job
Build scalable data curation systems and contribute to pre-training, mid-training, and post-training data workflows for Meta’s frontier large language models.
What you'll do
- Architect scalable data curation systems and pipelines, and improve data tooling and workflow velocity.
- Execute data curation projects across training stages and data domains, including organic, synthetic, agentic, and reasoning data.
- Lead complex technical projects end-to-end and collaborate with cross-functional teams on foundational models.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- 2+ years of industry research experience in LLM/NLP or related AI/ML models.
- Experience leading major technical initiatives and/or influencing strategy across multiple teams.
- Practical experience curating pre-training or mid-training data for large foundational models, plus a background in data infrastructure, software, and data tooling.
Nice to have
- Published research at leading peer-reviewed conferences and/or significant industry influence in AI; experience with frontier-quality LLMs.
- Master's degree or PhD in a related technical field; hands-on experience with PyTorch, SQL, Spark, or Hive.
Pay
$183,997/year to $257,000/year (base salary)
Tools
PyTorch, SQL, Spark, Hive, NeurIPS, ICML, ICLR, ACL
AI focus
LLM data curation and infrastructure across pre-training, mid-training, and post-training, including synthetic, agentic, and reasoning data.
Model-written summary · the original posting is authoritative