Meta AR/VR Job | Research Scientist Intern, Human Understanding (PhD) | Oculus
Job（岗位）: Research Scientist Intern, Human Understanding (PhD) | Oculus
Type（岗位类型）: Artificial Intelligence | Computer Vision, Engineering
Citys（岗位城市）: Burlingame, CA
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 Research Interns to join the RL XR People team and work on existing R&D problems. XR People is an organization focused on productizing novel human understanding technologies on AR and VR devices (e.g. 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.
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 vision, machine learning, computer graphics, or robotics 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.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Interpersonal experience: cross-group and cross-culture collaboration
Develop and execute on an R&D agenda related to computer vision, computer graphics or machine learning.
Collaborate with and support other researchers and engineers across various disciplines.
Push the state of the art research from recent top conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NIPS, ICLR, PAMI, IJCV).
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or 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 and analysis by synthesis.
Proven track record in Semi-supervised learning, self-supervised learning, or domain adaptation.