Research Scientist, Computer Vision and Machine
vor 3 Wochen
Minimum qualifications:
- PhD degree in Computer Vision, Machine Learning, or equivalent practical experience.
- Experience with publishing at conferences/journals in Machine Learning/Computer Vision (e.g., CVPR/ICCV/ECCV/NeurIPS/ICLR/ICML/IJCV/PAMI).
- Experience programming with C++ and/or Python.
- Experience developing Machine Learning/deep learning models for Computer Vision tasks..
Preferred qualifications:
- Experience leading a research agenda on one of the following topics: object detection and tracking, text understanding from images, or multimodal embeddings for visual tasks.
- Experience in the field of Computer Vision and Machine Learning (including internships).
- Experience with collaborating or leading an applied research project.
**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.
The Augmented Reality (AR) Semantic Perception team develops core technology around 3D artificial intelligence and machine learning (ML).
- As a Research Scientist, you will join development projects in the space of models and algorithms for object detection and tracking, text understanding from images, multi-modal embeddings for visual tasks, and deep learning for video processing.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices and 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 ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices and Services team is making people's lives better through technology.
**Responsibilities**:
- Lead the technology development process from the initial idea to product launch.
- Communicate with product-facing and cross-functional teams to support the productionization aspects of the technology/algorithm.
- Publish the results of the work at scientific venues.
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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