AI Research Scientist - Meta Superintelligence Lab (technical Leadership)

Meta Meta · Big Tech · Menlo Park, CA

Research Scientist role focused on LLM post-training and applying AI techniques to build intelligent language systems for Meta's products. Requires PhD, publication record, and experience bridging research and production.

What you'd actually do

  1. Help advance the science and technology of intelligent machines
  2. Work on research projects, strategies, and problems of moderate to high complexity and scope.
  3. Identify and define both short- and medium-term objectives
  4. Influence progress of relevant research communities by producing publications
  5. Establish strong connection with cross-functional partners and contribute research with the goal of applying to Meta's product development

Skills

Required

  • PhD in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
  • Proven track record of recent and consistent publication/citation history
  • Experience leading a team in solving modeling problems using AI/ML approaches
  • Experience in applying research to production problems
  • Experience communicating research for public audiences of peers
  • 4+ years of experience conducting AI research post PhD
  • 4+ years of experience as a tech lead in leading complex technical projects from end to end
  • Experience working on frontier-quality/ state-of-the-art Large Language Models
  • Experience bringing machine learning-based products from research to production
  • First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI)

Nice to have

  • LLM post-training
  • apply relevant AI techniques to build intelligent rich language systems

What the JD emphasized

  • publications
  • First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI)
  • Experience working on frontier-quality/ state-of-the-art Large Language Models
  • Experience bringing machine learning-based products from research to production

Other signals

  • LLM post-training
  • apply relevant AI techniques to build intelligent rich language systems
  • advance the science and technology of intelligent machines
  • apply research to production problems
  • bringing machine learning-based products from research to production