AI Research Scientist (Technical Leadership), Data Research - MSL FAIR

Job description

Meta is seeking research scientists to help us build the data foundation for Meta's most advanced Large Language and Media 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, image, video, 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. 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 im...