Research Scientist, Computer Vision, Augmented

vor 2 Wochen


Zurich, Schweiz Google Vollzeit

Minimum qualifications:

- PhD in Computer Vision, Machine Learning, a related field, or equivalent practical experience.
- Experience with publishing at conferences and journals about 3D body and hand tracking (e.g., CVPR/ICCV/ECCV/NeurIPS/ICLR/ICML/IJCV/PAMI).
- Experience with camera calibration, 3D data rendering, and processing in Python.

Preferred qualifications:

- Experience programming with C++, Tensorflow, and CUDA.
- Experience using multi-camera perception systems.
- Experience in 3D reconstruction and motion tracking.

**About the job**:
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

In this role, you will work on body and hand tracking. You will be responsible for designing, training, and shipping efficient machine learning models to our products.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

**Responsibilities**:

- Design and train machine learning models for body and hand tracking.
- Participate in and lead design reviews with peers and stakeholders to decide between available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.



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