Language AI Research Scientist

2 weeks ago


Menlo Park, California, United States META Full time

Meta is on the lookout for exceptional Research Scientists to be part of its Generative AI (GenAI) division, dedicated to achieving groundbreaking advancements in artificial intelligence. Our focus is on the renowned Llama language models, where we strive to publish cutting-edge research in the field of Machine Learning. We are eager to welcome skilled researchers with a background in Language Research to collaborate with us in enhancing the functionalities of large foundation models. The selected candidates will have the opportunity to make a significant impact by:

(1) contributing high-quality open-source code and reproducible results for the broader community,
(2) integrating the latest research into Meta products that connect billions of users,
(3) advocating for state-of-the-art research and disseminating findings through papers and technical reports.

The chosen individuals will collaborate with a diverse and interdisciplinary team of scientists, engineers, and cross-functional partners, gaining access to advanced technology, resources, and research facilities.

Key Responsibilities of the AI Research Scientist, Language

  • Set and pursue ambitious long-term research objectives while establishing intermediate milestones.
  • Shape the progress of relevant research communities through publications, technical reports, and open-source contributions.
  • Generate research applicable to Meta's product development.
  • Lead and collaborate on research initiatives within a globally distributed team.

Minimum Qualifications

  • PhD in Computer Science, Mathematics, or a related quantitative discipline.
  • First-author publications in peer-reviewed AI conferences (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR).
  • Experience in training, fine-tuning, and experimenting with foundation models beyond mere black-box applications.
  • Proficiency in one or more deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Adept at communicating complex research to public audiences of peers.
  • Familiarity with at least one programming language.
  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

Preferred Qualifications

  • High-impact publications in peer-reviewed AI conferences (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR, ICCV, CVPR), evidenced by citations and other indicators of influence within the research community.
  • Over 3 years of experience in AI research following the completion of a PhD.
  • Experience in developing and debugging beyond machine learning experimentation.
  • Background in an industry research environment.
  • Experience in mentoring PhD students or other researchers.

Preparation Resources
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