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Research Scientist Intern, Rendering and Reconstruction (PhD)

Zurich, Switzerland
Deep Learning Machine Learning
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Description
The Reality Labs (RL) 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. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including computer vision, graphics, body tracking, perception science, and true telepresence. The Virtual Humans team in Sausalito, CA and Zurich, CF works on cutting-edge research and development focusing on virtual people and presence. We envision a world where people connect across vast distances so our roles focus on full body capture and reconstruction. We are currently seeking innovative interns with a passion for rendering and innovative 3D representations and capture technologies. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year. Research Topics:* 3D human digitization* Facial capture* Virtual telepresence* Applied deep learning* Advanced shading models* Neural and differentiable rendering* Implicit models Our internships are twelve (12) to sixteen (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Rendering and Reconstruction (PhD) Responsibilities
  • Design and execution of algorithms
  • Prototyping, building and analysis of experimental systems
  • Collaboration with and support of other researchers across various disciplines
  • Communication of research agenda, progress and results
Minimum Qualifications
  • Currently has, or is in the process of obtaining, a PhD in Computer Vision, Computer Graphics, Machine Learning or related fields
  • Experience with neural rendering, implicit representations, deformation models, lightstage geometry reconstruction, or forward and inverse rendering of physically based shading models
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
  • Intent to return to degree-program after the completion of the internship
  • 2+ years of experience with 3D geometry reconstruction and representation, BRDF and light transport algorithms, or machine learning
  • Experience with Deep Learning
  • Proven track record of achieving results as demonstrated in accepted papers at top computer vision, computer graphics or machine learning related conferences such as CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH, EGSR, etc
  • Interpersonal skills: cross-group and cross-culture collaboration
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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.



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 here.

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 accommodations-ext@meta.com.
Meta
Meta
Augmented Reality Metaverse Social Media Social Network Virtual Reality

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