AI Research Scientist, Language

2 months ago

London, Greater London, United Kingdom Facebook Full time
Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in NLP or reinforcement learning; with experience in areas like LLM alignment; multilingual modeling; code generation; responsible AI; and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release large language models.

AI Research Scientist, Language - Generative AI Responsibilities:

  • Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research.
  • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
  • Work with a large and globally distributed team.
  • Contribute to publications and open-sourcing efforts.
  • Help identify long-term ambitious research goals as well as intermediate milestones.
  • Prioritize research that can be applied to Meta's product development.
  • Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • A PhD in AI, computer science, or related technical fields.
  • Experience holding an industry, faculty, or government researcher position.
  • Publications in machine learning.
  • Experience writing software and executing complex experiments involving large AI models and datasets.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:

  • Direct experience in generative AI and LLM research.
  • 2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.
  • First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
  • Experience developing and debugging in Python.

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