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Meta

Visiting Researcher

Pittsburgh, PA

Meta Reality Labs is dedicated to the research and development required to bring virtual and augmented reality to billions of people around the world. At the lab, we aspire to a vision of social VR and AR, where people are able to interact with each other across distances in a way that is indistinguishable from in-person interactions. We are looking for an exceptional researcher with a proven track record of working at the intersection of Computer Vision, Machine Learning and Graphics as well as an outstanding software engineer who can prototype invented algorithms. As a Research Scientist at Meta Reality Lab, you will pursue research, and work with other Researchers and Engineers to solve challenges at the forefront of the field to transform virtual reality from dream to reality. We're looking for a creative researcher to usher in the next era of human-computer interaction by solving open and exciting computer vision problems.

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Visiting Researcher Responsibilities:
  • Leading a team of experts and setting the research agenda
  • Plan and execute cutting-edge research to advance the state-of-the-art in view synthesis and relighting
  • Research, develop and prototype advanced view synthesis and relighting approaches
  • Participate in cutting edge research in computer vision, graphics and machine learning
  • Develop efficient deep neural network models for view synthesis and relighting
  • Contributing research that can be applied to Oculus product development
  • Publish research results in top-tier journals and at leading international conferences
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • PhD in the field of computer vision, computer graphics, machine learning or a related field with a proven academic track-record
  • 5+ years experience leading a research group or team in academia or industry
  • 7+ years C++ experience and experience with OpenGL or CUDA programming
  • 5+ years experience with deep learning tools (e.g. PyTorch, NumPy)
  • 7+ years professional expertise and exposure to full machine vision pipeline from sensors to high-level algorithms
  • 5+ years experience with view synthesis, VR video, and neural rendering
Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences (e.g., NIPS, ICLR, ICML, SIGGRAPH, CVPR, ECCV and ICCV) or journals (e.g., PAMI, IJCV, JMLR, ToG)
  • Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Interpersonal experience: cross-group and cross-culture collaboration
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.

Client-provided location(s): Pittsburgh, PA, USA
Job ID: a1KDp00000D7rKUMAZ
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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