Research Scientist, AI for 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.

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