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Postdoctoral Researcher, FAIR (PhD)

AT Meta
Meta

Postdoctoral Researcher, FAIR (PhD)

New York, NY

Meta is seeking a postdoctoral researcher to join its Fundamental AI Research (FAIR) team in NYC. We are committed to advancing the field of artificial intelligence by making fundamental advances in scientific methods and technologies to help interact with and understand our world. In NYC, we are specifically working on natural language processing, computer vision, generative modeling and evaluations, and mechanistic interpretability. For this position, we are looking for an individual passionate about furthering our understanding of large, generative models and making them more transparent, efficient, and interpretable. Postdoctoral research positions are 1-year fixed-term with a possible extension of up to 1 year based on researcher performance and business need. In the spirit of FAIR's general mission, we expect the work performed by the postdoctoral researcher to be open science and open source.

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Postdoctoral Researcher, FAIR (PhD) Responsibilities:
  • Perform research to understand the mechanisms learned by generative models
  • Perform research to advance the science and technology of intelligent systems
  • Directly contribute to experiments, including designing experimental details, creating reusable code, running evaluations, organizing and analyzing results
  • Influence progress of relevant research communities by producing publications
  • Contribute to publications and open-sourcing efforts
  • Help identify long-term ambitious research goals as well as intermediate milestones
Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta
  • Research background in machine learning, natural language processing, computer vision, computational statistics, or other related areas
  • Prior experience performing interpretability research on AI models
  • Track record of publications reflecting expertise in theoretical and/or empirical research
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications:
  • First-authored publications at peer-reviewed conferences (NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, COLM, CVPR, ECCV, ICCV, or similar)
  • Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment
  • Experience solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward
  • Research and engineering experience demonstrated via internships, work experience, grants, fellowships, patents, and/or coding competitions
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 accommodations-ext@fb.com.

$117,000/year to $173,000/year + 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.

Client-provided location(s): New York, NY, USA
Job ID: a1KDp00000E2bIkMAJ
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program

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