AI Research Scientist, Text Data Research - MSL FAIR

Remote Full-time
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. 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 Skills 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 Experience working on frontier-quality/state-of-the-art Large Language Models Multiple first-author publications in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) 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 Benefits Bonus Equity Benefits Company Overview Meta's mission is to build the future of human connection and the technology that makes it possible. It was founded in 2004, and is headquartered in Menlo Park, CA, US, with a workforce of 10001+ employees. Its website is
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