LLM Pre-Training Data Research Engineer

Meta; Menlo Park (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking AI research engineers to build the data foundation for its most advanced Large Language Models. The role focuses on data curation, pre-training and mid-training data management, and developing data tooling to support trillion-scale datasets.

You will contribute to frontier models like Llama within FAIR. Based in Meta Superintelligence Labs (MSL), you will collaborate across researchers and engineers, influence strategy, and publish impactful work at top AI conferences while

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 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.
• Demonstrated data infrastructure and software background, and experience building data tooling and services.
• 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.
• Hands-on experience with modeling frameworks like PyTorch.
• Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive.

Skills

LLM/NLP experience

Technical leadership

Cross-functional collaboration

Data curation

Research experience

Language models

Education

Bachelor's degree in CS/CE or equivalent

Master's degree or PhD in CS or related field

Tools

PyTorch

SQL

Spark

Hive

Data tooling

Job description

Meta is seeking AI research engineers to build the data foundation for its most advanced Large Language Models. The role focuses on data curation, pre-training and mid-training data management, and developing data tooling to support trillion-scale datasets.

You will contribute to frontier models like Llama within FAIR. Based in Meta Superintelligence Labs (MSL), you will collaborate across researchers and engineers, influence strategy, and publish impactful work at top AI conferences while