Meta's Reality Labs (RL) team is seeking to achieve true photorealistic telepresence through novel human understanding technologies on VR/AR devices, enabling immersive new experiences that bring people closer together and enhance interaction.
Requirements
- 2+ years experience with building systems based on Computer Graphics, Computer Vision or Machine Learning methods
- 3+ years experience in C++ and Python.
- 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)
- Proven track record in tracking and modeling of humans (eyes, face, hands, body, ...) and garments
- Proven track record in human motion and animation (body/face/hands/eyes)
- Proven track record in 3D reconstruction, non-rigid fusion, and volumetric capture
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.
- Push the state of the art research from recent top conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, PAMI, IJCV).
- Collaborate and support other researchers across various disciplines.
Other
- 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
- 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
- Experience working and communicating cross functionally in a team environment
- Intent to return to a degree-program after the completion of the internship
