Research Scientist, Natural Language Processing and Responsible AI (PhD)

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.


Facebook is looking for a Research Scientist to join us our Facebook AI Research (FAIR) team. The team is developing new ways to learn to perform NLP tasks with little supervision relying on self-supervised learning and scaling large Language Models. A big focus of the team is scaling responsibly by examining the ways models will be used in practice and anticipating and mitigating issues such as bias, fairness, robustness and safety.

Required Skills

  • Develop novel scalable methods for scaling language models while examining their bias, fairness, robustness and safety.
  • Collaborate with other FAIR scientists and engineers.
  • Publish academic papers at top conferences.

Minimum Qualification

  • Currently has or is in the process of obtaining a PhD in Computer Science or related field.
  • Experience with Deep Learning models in Natural Language Processing.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualification

  • Research and software engineer experience demonstrated via grants, fellowships, patents, internship, work experience, and/or coding competitions.
  • First-authored publications at peer-reviewed conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, or similar).
  • Research experience addressing issues related to Responsible AI.


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