Research Scientist Intern, Human Understanding

vor 4 Monaten

Zurich, Schweiz Meta Vollzeit

Towards this mission, the Reality Labs (RL) team is helping people around the world to come together and connect through world-class AR/VR hardware and software. We are seeking exceptional Research Interns to join the RL XR People team and create a revolution in VR/AR: achieving true photorealistic telepresence. XR People is an organization focused on productizing novel human understanding technologies on VR/AR devices (for example we shipped face and body tracking technologies on Quest Pro). Through understanding of human appearance, movement and expression, the XR People team enables immersive new experiences that bring people closer together and enhance the way we interact with each other and computers.Available projects may include, but are not limited to:

- Neural Rendering for photo realistic avatars* High quality reflectance fields using a mobile phone scan* Domain adaptation* 3D generative models* Geometry and texture for hands, especially self-contact cases.* Inverse rendering* Geometry processing for humans data* 3D gaussian splatting* Face and body trackingOur internships are twelve (12) to sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.

**Research Scientist Intern, Human Understanding (PhD) Responsibilities**:

- Solve real problems in enabling Photorealistic Telepresence.
- Develop and execute on an R&D agenda related to computer vision, computer graphics or machine learning.
- Collaboration with and support of other researchers across various disciplines.
- Push the state of the art research from recent top conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, PAMI, IJCV).

**Minimum Qualifications**:

- Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering, or Electrical and Computer Engineering in the field of Computer Science, Computer Vision, Computer Graphics, Machine Learning, or related field.
- 2+ years experience with building systems based on Computer Graphics, Computer Vision or Machine Learning methods.
- 3+ years experience in C++ and Python.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., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, PAMI, IJCV).
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github).
- Experience working and communicating cross functionally in a team environment.
- Intent to return to a degree-program after the completion of the internship.
- Proven track record in tracking and modeling of humans (eyes, face, hands, body,...) and garments.
- Proven track record in action and gesture recognition.
- Proven track record in 3D reconstruction, non-rigid fusion, and volumetric capture (e.g. NeRF, PIFu,...)
- Proven track record in Image analysis and synthesis (e.g. GAN, semantic segmentation, lighting estimation...).
- Proven track record in ML based data compression techniques.
- Proven track record in Differentiable Rendering.
- Proven track record in Semi-supervised learning, self-supervised learning, or domain adaptation.

**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.

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