AI Research Scientist

Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Code Generation and LLMs reasoning with specific focus on reinforcement learning, synthetic data generation and advanced scaffolding/agentic techniques. 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, resources, and research facilities.

Lead, collaborate, and execute on research that pushes forward the state of the art in agentic code generation Work towards long-term ambitious 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

Currently has or is in the process of obtaining a PhD in the field of Computer Science, Mathematics, or similar quantitative field 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 RL codebases and familiarity with one or more deep 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 Interested in real-world code generation and AI for software engineering Enthusiastic about world models