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Research Scientist, Computer Vision - Embodied AI (FAIR)

Pittsburgh, PA

Meta is seeking a Research Scientist to join the Fundamental AI Research organization (FAIR), a research organization focused on making significant progress in AI. As a Research Scientist on the Embodied AI team at FAIR, you will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for robotics, AR, and VR, and sharing this research with the world. You will be responsible for pushing the state of the art in dexterous robot manipulation, by developing novel representation learning algorithms to improve a robot's sense of touch.

Research Scientist, Computer Vision - Embodied AI (FAIR) Responsibilities:

  • Conduct research and develop state-of-the-art AI approaches for dexterous robot manipulation that leverages rich sensing capabilities on robot hands.
  • Design and conduct experiments, analyze data, and document the findings in the form of technical reports and publications.
  • Collaborate with the broader team of researchers on the project, and influence project direction based on your area of expertise and experimental findings.
  • Write high quality, readable code that can be used and built upon by team members and the research community when open sourced.
Minimum Qualifications:

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  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Currently has, or is in the process of obtaining a PhD degree in Computer Science, Robotics, Artificial Intelligence, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Experience with programming languages such as Python, C++, or similar.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
  • 2+ year(s) of work experience in an industry, university, or government lab
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), or Computer Vision (CVPR, ICCV, ECCV).
  • Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc.
  • Experience with the following: representation learning, self-supervised learning, transfer learning, robotic manipulation, tactile sensing.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
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

Client-provided location(s): Pittsburgh, PA, USA
Job ID: a1K2K00000906PXUAY
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
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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