AI Research Scientist - Meta Superintelligence Labs (Technical Leadership)

Meta·Menlo Park, California, United States·posted 12d ago · last seen 1h ago

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About interviewing at Meta

Recruiter screen, a technical screen (60-minute asynchronous challenge or paired live coding), a short culture-fit questionnaire, then a virtual onsite of about four rounds: fast-paced coding with multiple problems per round, system design scoped to level, a lighter behavioral, and an AI-enabled coding round assessing how you work with a coding assistant.

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Description

About

Meta is seeking Research Scientists to join the Product and Applied Research organization within MSL (Meta Superintelligence Lab). This role requires industry experience working on LLM post-training and the ability to apply relevant AI techniques to build intelligent rich language systems that improve Meta's products and experiences.

Responsibilities

  • Help advance the science and technology of intelligent machines
  • Work on research projects, strategies, and problems of moderate to high complexity and scope. Identify and define both short- and medium-term objectives
  • Influence progress of relevant research communities by producing publications
  • Establish strong connection with cross-functional partners and contribute research with the goal of applying to Meta's product development
  • Lead and collaborate on research projects within a team
  • Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems
  • Apply in-depth knowledge of how the machine learning system interacts with the other systems around it

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Ph.D. and 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)

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