Research Scientist, NLP, GenAI (PhD) Full-time

Meta is seeking Research Scientists specialized in NLP to join its Generative AI (GenAI) organization. We publish groundbreaking papers such as the recently released Llama-2 paper. We are currently seeking talented researchers with experience in NLP to join our Paris sites and work with us on extending the capabilities of large foundation models through fine-tuning. The chosen candidate(s) will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

Research Scientist, NLP, GenAI (PhD) Responsibilities

• Conduct research that extends the capabilities of foundation models through model fine-tuning
• Work towards long-term ambitious research goals, while identifying intermediate milestones.
• Influence progress of relevant research communities by producing publications.
• Contribute research that can be applied to Meta product development.
• Lead and collaborate on research projects within a globally based team.

Minimum Qualifications

• 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. *ACL, EMNLP, NeurIPS, ICML, ICLR).
• Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.
• Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …)
• Ability to communicate complex research both in writing and orally for public audiences of peers.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

• 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.
• Experience in AI research beyond completing a PhD.
• Experience in developing and debugging beyond ML experimentation.
• Experience in working in an industry research environment.
• Experience in coordinating the research of PhD students or other researchers.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience working and communicating cross functionally in a team environment.