Research Scientist Intern
vor 4 Wochen
The Meta Reality Labs 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 productising novel human understanding technologies on AR and VR devices. 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.
**Research Scientist Intern - Human Understanding (PhD) Responsibilities**:
- Develop and execute on an R&D agenda: Literature review. Implement baseline approaches. Investigate, design and implement novel cutting-edge algorithms. Develop tools, scripts and tests. Document and present progresses.
- Collaborate with and support other researchers and engineers across various disciplines.
**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 vision, machine learning, computer graphics, or robotics.
- 2+ years experience with building systems based on computer graphics, computer vision or machine learning methods.
- 3+ years experience in C++ and Python.
- Ability to speak and write in English fluently.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
**Preferred Qualifications**:
- Has publications in top machine learning, computer vision, or computer graphics conferences/journals (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NIPS, ICLR, PAMI, IJCV)
- Intent to return to a degree-program after the completion of the internship.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github).
- Experience in one of the following topics: Tracking and modeling of humans (eyes, face, hands, body,...) and garments. Action and gesture recognition. 3D reconstruction, non-rigid fusion, and volumetric capture (e.g. NeRF, PIFu,...) Image analysis and synthesis (e.g. GAN, semantic segmentation, lighting estimation...). ML based data compression techniques. Differentiable rendering and analysis by synthesis. Semi-supervised learning, self-supervised learning, or domain adaptation.
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