Meta is looking for AI research engineers to build the data foundation for advanced Large Language Models (LLMs). The role involves collaborating with cross-functional teams, architecting data curation systems, and improving data workflows for LLM development.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 1+ year of industry research experience in LLM/NLP or related AI/ML models
• Experience owning and/or driving complex technical projects from end-to-end
• Practical experience with pre-training or mid-training data curation for large foundational models
• Demonstrated data infrastructure and software background, and experience building data tooling and services
• Published research in leading peer-reviewed conferences or demonstrated significant industry influence in the field of AI

• Collaborate with cross-functional teams to develop Meta’s next foundational models
• Architect efficient and scalable data curation systems and pipelines
• Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
• 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

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.