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Research Scientist Intern, Graphics Neural Rendering and Compression (PhD)

AT Meta
Meta

Research Scientist Intern, Graphics Neural Rendering and Compression (PhD)

Sunnyvale, CA

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. The focus of our team is on computer graphics with primary research on the efficient synthesis of high-quality images for AR/VR systems. Our current research areas include custom graphics hardware, rendering algorithms for AR/VR, such as ray casting and neural rendering, perceptual aware rendering, neural compression, and generative AI for 3D graphics. For the internship position, we are looking for Ph.D. students to investigate various core research problems for neural rendering and how perceptual based understanding can be applied to the graphics pipeline. Partner with expert research scientists and engineers to build cutting-edge prototypes and create the technology that makes AR and VR universal.Meta Reality Labs offers internships ranging from twelve (12) to sixteen (16), or twenty-four (24) week periods. We encourage submitting papers to high-ranked computer graphics conferences and journals based on the results of the internship.

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Research Scientist Intern, Graphics Neural Rendering and Compression (PhD) Responsibilities:
  • Design and develop novel neural rendering, perceptual aware rendering, neural compression, and generative 3D algorithms to enable and prototype novel AR/VR experiences.
  • Deliver the state-of-the-art research outcome to push the boundary of neural rendering research.
  • Accelerate development of one or more graphics-related research projects.
  • Conceive and develop novel rendering solutions from idea to prototypes.
  • Implement proof-of-concept technical prototypes and systems that re-define the state-of-the-art visual experiences in virtual and augmented reality.
  • Develop highly optimized real-time solutions with GPU rendering, ML applied to graphics, and compute.
  • Learn constantly, educate others, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.
  • Collaborate with cross-disciplinary research and engineering teams.
Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Graphics, Computer Vision, Machine Learning or related field.
  • 3+ years of experience in C/C++, python or ML programming.
  • Familiar with at least one popular deep learning framework, such as PyTorch.
  • Basic knowledge on image formation model and graphics rendering pipeline.
  • Deep understanding and hands-on experiences in one or more of the following: neural rendering /generative 3D/ physics-based real-time or offline rendering / perceptual based rendering / ML-based graphics rendering related research.
  • Knowledge of real-time or offline rendering.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
  • Graphics experience with good understanding of key rendering concepts, such as lighting and shading, PBR materials, ray tracing, differentiable rendering, or related work.
  • Understanding and hands-on experiences in one or more of the following: GPU design/optimization, real-time ray tracing or rasterization solutions, physics-based real-time or offline rendering, physically based materials and lighting, differentiable/inverse rendering.
  • Experience with various types of 3D geometry like polygons, curves, subdivision surfaces, displacement mapping, and signed distance fields.
  • Experience with geometry compression.
  • Experience with real-time game engine development.
  • Experience in research or advanced development.
  • Experience in modern machine learning methods with hands-on implementation experience.
  • Demonstrated software engineering experience within a complex codebase via an internship, work experience, coding competitions, or widely used contributions to open source repositories such as GitHub.
  • 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 ACM SIGGRAPH/SIGGRAPH Asia, High Performance Graphics (HPG), ACM SIGGRAPH Symposium on Interactive 3D and Graphics (I3D), Eurographics Symposium on Rendering (EGSR), CVPR/ICCV/ECCV, NeurIPS, etc.
  • Intent to return to a degree-program after the completion of the internship/co-op.
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.

$7,800/month to $11,293/month + 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): Sunnyvale, CA, USA
Job ID: a1KDp00000E2IWMMA3
Employment Type: Intern

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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