Research Scientist Intern, Computer Vision/machine

vor 4 Wochen


Zurich, Schweiz Meta Vollzeit

**Research Scientist Intern, Computer Vision/Machine Learning (PhD) Responsibilities**:

- Conduct literature research and drive implementation/evaluation of relevant algorithm baselines
- Have regular project discussions about our agenda, research progress, and experimental results
- Contribute and implement to novel algorithms for neural 3D scene reconstruction and completion
- Together with our team, work towards a top-tier, scientific publication

**Minimum Qualifications**:

- Completed or about to complete a PhD degree in Computer Science, Electrical Engineering, or Electrical and Computer Engineering in the field of Computer Vision and Machine Learning.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Hands-on knowledge with Neural 3D representations (implicit neural radiance fields, explicit & hybrid representations, SDFs, occupancy networks) for object-, room-, or city-block sized scenes, neural rendering, prior-based reconstruction with neural fields, etc.
- Strong track record with first-authored publications in top computer vision conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR) and/or journals (TPAMI, IJCV, etc.)
- Available for a 16-24 week internship (we have various start dates throughout the year.)
- 2+ years experience with PyTorch and Python
- Excellent interpersonal and communication skills, cross-group and cross-culture collaboration
- High levels of creativity and quick problem solving capabilities

**Preferred Qualifications**:

- Previous first-authored, top-tier publication (or submission) in the domain of neural scene modeling
- Demonstrated software development experiences from previous internships, prior work engagements, coding competitions, or contributions to open source repositories
- Experience with C++ and CUDA



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