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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, to join our Paris site. 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.
Job Responsibility:
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
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
Requirements:
Currently has or is in the process of obtaining 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
Nice to have:
Familiarity with the Lean 4 language and ecosystem and mathematical expertise
Experience with communicating complex research for public audiences of peers