Research Scientist Intern, Graphics Neural Rendering and Compression (PhD)
About the job
SummaryBy Outscal
Must have:
- PhD in 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 neural rendering, generative 3D, physics-based rendering, perceptual based rendering, ML-based graphics rendering
- Knowledge of real-time or offline rendering
Good to have:
- Graphics experience with good understanding of key rendering concepts
- Understanding and hands-on experiences in GPU design/optimization, real-time ray tracing, rasterization solutions
- Experience with various types of 3D geometry
- 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
- Proven track record of achieving significant results
- Intent to return to a degree-program after the internship/co-op
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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.
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.
For those who live in or expect to work from California if hired for this position, please click for additional information.
Locations
Data Center
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.
$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 at Meta.
Equal Employment Opportunity and Affirmative Action
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .
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About The Company
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.
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