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Research Scientist

AT Meta
Meta

Research Scientist

Pittsburgh, PA

Reality Labs (RL) is dedicated to the research and development required to bring virtual and augmented reality to billions of people around the world. In our Codec Avatars 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 in using machine learning for solving computer vision and graphics problems (e.g., neural rendering, view synthesis, generative models for images and videos) as well as an outstanding software engineer who can prototype invented algorithms.As a Research Scientist at RL, you will pursue research, and work with other Computer Vision and Machine Learning Researchers and Engineers to solve challenges at the forefront of computer vision and graphics that transform virtual reality from dream to reality. We are looking for a creative researcher to usher in the next era of efficient view synthesis and neural rendering approaches for avatars.

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Research Scientist Responsibilities:
  • Participating in cutting edge research in neural rendering, relighting, computer vision, and graphics
  • Developing efficient deep neural network models for 3D content generation and tracking
  • Publish research results in top-tier journals and at leading international conferences
  • Contributing research that can be applied to Meta VR/AR product development
Minimum Qualifications:
  • 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 and/or postdoctoral assignment in the field of computer vision, computer graphics, machine learning or a related field.
  • Proven track record in using machine learning and computer vision.
  • Experience with neural rendering, relighting, view synthesis, or 3D reconstruction.
  • Interpersonal experience: cross-group and cross-culture collaboration.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
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., SIGGRAPH, CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML) or journals (e.g., PAMI, IJCV, JMLR, ToG).
  • 3+ years experience designing and developing computer vision or machine learning algorithms in C++.
  • 3+ years of experience with prototyping algorithms in Python.
  • Experience with neural rendering approaches such as NeRF.
  • Experience in 3D computer vision, graphics, and deep learning models for this domain.
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with data-parallel (e.g., CUDA) or graphics (e.g., OpenGL, Vulcan) programming.
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.

$error/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.

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): Pittsburgh, PA, USA
Job ID: a1KDp00000E2FPSMA3
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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