**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 Research and is composed of high talent density with the lead of Llama-2.We are currently seeking researchers with experience to join our Paris site and work with us on extending frontier agentic models through Reinforcement Learning. 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. **Required Skills:** Research Scientist (PhD) Responsibilities: 1. Conduct research that extends foundation models through model fine-tuning 2. Work towards long-term ambitious research goals, while identifying intermediate milestones 3. Influence progress of relevant research communities by producing publications 4. Contribute research that can be applied to Meta product development 5. Lead and collaborate on research projects within a globally based team **Minimum Qualifications:** Minimum Qualifications: 6. Currently has or is in the process of obtaining a PhD in the field of Computer Science, Mathematics, or similar quantitative field 7. First-author publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR) 8. Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use 9. Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …) 10. Communicate complex research for public audiences of peers 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. 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 13. Experience in AI research beyond completing a PhD 14. Experience in developing and debugging beyond ML experimentation 15. Experience in working in an industry research environment 16. Experience in coordinating the research of PhD students or other researchers 17. Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward 18. Experience working and communicating cross functionally in a team environment **Industry:** Internet