AI Research Scientist - Meta Superintelligence Labs (Technical Leadership)

Meta; Menlo Park (CA); On-site; USD 219,000 - 301,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

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 include advancing the science of intelligent machines, leading research projects, publishing work, and partnering with cross-functional teams to

Qualifications

• Bachelor's degree in CS/engineering or equivalent practical experience.
• PhD with publications in ML/AI or related fields.
• Proven track record of publications.
• Experience leading AI/ML projects.
• Experience applying research to production.
• Experience communicating research to peers.

Responsibilities

• Advance science and technology of intelligent machines.
• Work on research projects with moderate to high complexity.
• Publish in relevant AI venues.
• Collaborate with cross-functional partners to deploy research to product development.
• Lead and collaborate on research projects within a team.
• Design end-to-end system components for production use.
• Understand ML systems interaction with surrounding components.

Skills

AI/ML research

Team leadership

Publications

Research to production

Communication

Education

Bachelor's degree in CS/Engineering

PhD in ML/AI or related field

Tools

TensorFlow

PyTorch

Job description

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.

AI Research Scientist - Meta Superintelligence Labs (Technical Leadership) 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)
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$219,000/year to $301,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.