- Meta
- Menlo Park, CA
- Full-Time
- 62 days ago
- $219,000–$301,000 / year
AI Research Scientist - Meta Superintelligence Lab (Technical Leadership).
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AI Research Scientist - Meta Superintelligence Lab (Technical Leadership): our view in 3 lines...
- The Role:This role is for an AI research scientist working on LLM post-training and intelligent language systems for Meta’s products.
- The Person:The person will lead and collaborate on research projects, publish research, define objectives, design end to end systems, and apply machine learning methods to Meta’s product development.
- Requirements:The ideal candidate has a Ph.D., publications in machine learning or AI, a recent and consistent publication history, and experience with LLM post-training and applying research to production problems.
About the role
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
Preferred Qualifications
- 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)
$219,000/year to $301,000/year + bonus + equity + benefits