AI Research Scientist, Pre-training Data - MSL FAIR

Meta Careers; Menlo Park, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking AI research scientists to help build the data foundation for Meta’s most advanced large language models. You will work on data curation across pre-training to post-training, tackling challenges in data velocity, synthetic data, and scaling data pipelines.

Based in Meta’s FAIR/MSL group in Menlo Park, you will collaborate with researchers and engineers to push the boundaries of data for trillion-scale models.

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
• Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
• Architect efficient and scalable data curation systems and pipelines
• 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

Job description

# AI Research Scientist, Pre-training Data - MSL FAIRMenlo Park, CA Artificial Intelligence+ 1 moreApply nowMeta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for researchers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling.Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible.Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta’s frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL.---## AI Research Scientist, Pre-training Data - MSL FAIR 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* Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling* Architect efficient and scalable data curation systems and pipelines* 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