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Meta · 19 hours ago

AI Research Scientist, Text Data Research - MSL FAIR

Menlo Park, CA

Full-time

Hybrid

Entry, Mid Level

$154K/yr - $217K/yr

1+ years exp

Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language Models. The role involves collaborating with teams to develop foundational models, advancing data research, and improving data curation systems at scale.

Computer Software

Comp. & Benefits

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

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

Qualification

LLM expertiseData curationSynthetic data generationData scaling lawsPyTorchSQLLarge-scale data handlingResearch publicationTechnical project management

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

PhD in Computer Science or a related technical field

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 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