Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in Computer Science or a related technical field 2+ years of industry research experience in Generative AI and LLM 1+ year of experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams Research experience in LLM post-training and/or agents Published research in leading peer-reviewed conferences (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) and/or demonstrated significant industry influence in the field of AI Proficiency in Python and a modern deep learning framework (e.g., PyTorch) Domain expertise in LLMs for agents, higher-level reasoning, alignment methodologies, and/or new memory techniques First-author publications at top peer-reviewed conferences (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) Experience working on frontier-quality, state-of-the-art Large Language ModelsMeta builds technologies that help people connect, find communities, and grow businesses. Current projects span long-horizon reinforcement learning + agents, improved learning + self-supervised learning objectives, higher-level reasoning, new memory techniques, and scalable alignment methods including self-alignment, self-improvement, and co-improvement.