Research Scientist Intern, Rendering and

vor 4 Wochen


Zurich, Schweiz Meta Vollzeit

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, Switzerland 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. Research Topics:* 3D human digitization* Facial capture* Virtual telepresence* Applied deep learning* Advanced shading models* Neural and differentiable rendering* Implicit modelsOur 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
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Interpersonal skills: cross-group and cross-culture collaboration
- Experience with neural rendering, implicit representations, lightstage geometry reconstruction, or forward and inverse rendering of physically based shading models

**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.



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