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Meta

Research Scientist, Applied 3D Computer Vision and Machine Learning (PhD)

San Mateo, CA

Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.Our world class team of applied CV ML researchers are working on a range of problems in Mixed and Virtual Reality including Neural Rendering, 3D Generative-AI, Scene Understanding and Neural Avatars. We do a mix of fundamental research and technology development. We are seeking exceptional researchers with a background in 3D Computer Vision to join our team.

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Research Scientist, Applied 3D Computer Vision and Machine Learning (PhD) Responsibilities:
  • Conduct applied research to advance the State of the Art in 3D Computer Vision and Machine Learning (Neural Rendering, Depth Estimation, 3D Generative-AI, 3D Reconstruction, Novel View Synthesis, Non-Rigid Tracking).
  • Work towards long-term ambitious research goals, while identifying intermediate milestones.
  • Contribute to and apply research that advances Meta products VR/MR and AR.
  • Conduct and collaborate on research projects within a globally-based team.
  • Present the outcomes of the research findings as papers in top tier conferences in the area of Computer Vision and Graphics.
Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Vision, 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 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • 2+ years of research experience or equivalent graduate research experience in geometric computer vision including 3D deep learning, 3D Face Reconstruction, Video Restoration, Computational Photography, Neural View Synthesis etc.
  • 3+ years experience in developing and debugging in C/C++, Python, C#, or similar programming language, and hands-on experience with frameworks such as PyTorch.
  • Research background in machine learning, deep learning, computer vision, or related fields.
  • 3+ years experience in theoretical and empirical research and for addressing research problems.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
  • Experience working and communicating cross-functionally in a team environment.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV, ICCV, NeurIPS, and SIGGRAPH.
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
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.

Client-provided location(s): Burlingame, CA, USA
Job ID: a1K2K000008Ucw3UAC_1dd08b5c
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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