Research Scientist, AI, Formal and informal Reasoning

Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in LLMs reasoning, using reinforcement learning, synthetic data generation and advanced scaffolding/agentic techniques, partially with a focus on formal and informal maths. You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, important resources, and research facilities.

Lead, collaborate, and execute on research that pushes forward the state of the art in reasoning research, with an initial focus on formal and informal mathematical reasoning Work towards long-term high-stakes research goals, while identifying intermediate milestones Directly contribute to experiments, including designing experimental details, implement reusable code, running evaluations, and organizing results Contribute to publications and open-sourcing efforts Mentor other team members. Play a significant role in healthy cross-functional collaboration

Holds a PhD in the field of Computer Science, Mathematics, or similar quantitative field Experience training and evaluating large models on State-of-the-Art codebases and developing new architectures, losses and training recipes First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR) Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use Experience working with SOTA Reinforcement Learning codebases and familiarity with one or more Machine Learning frameworks (e.g. pytorch, VERL, …) Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Familiarity with the Lean 4 language and ecosystem and mathematical expertise Experience with communicating complex research for public audiences of peers