**Summary:** Meta is seeking Research Scientists specialized to join the Foundational Agent team of Superintelligence Labs organization. The team is responsible among other projects for Deep Research and is composed of high talent density with the lead of Llama-2.We are currently seeking talented researchers with experience to join our Paris sites and work with us on extending frontier agentic models through Reinforcement Learning. The chosen candidate(s) will 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. **Required Skills:** AI Research Scientist Responsibilities: 1. Work on research projects, strategies, and problems of moderate to high complexity and scope 2. Influence progress of relevant research communities by producing publications 3. Establish connection with cross-functional partners and contribute research with the goal of applying to Meta's product development 4. Lead and collaborate on research projects within a team 5. Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems 6. Apply in-depth knowledge of how the machine learning system interacts with the other systems around it **Minimum Qualifications:** Minimum Qualifications: 7. Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields 8. Experience holding a faculty, industry, or government researcher position 9. Proven track record of consistent publication/citation history 10. Experience in applying research to production problems 11. Experience communicating research for public audiences of peers 12. Experience in developing and debugging in Python, C/C++, or C# **Preferred Qualifications:** Preferred Qualifications: 13. High-impact publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR), as witnessed by citations and other signs of influencing the research community 14. Experience in developing and debugging beyond ML experimentation 15. Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward **Industry:** Internet