Software Engineer, Machine Learning, Camera
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (e.g., Python and C++ or C).
Preferred qualifications:
- Master’s degree in Computer Science or Electrical Engineering, or a related field.
- Experience with Machine Learning (ML) based image processing model design.
- Experience in image processing, computer vision, and computational photography development.
About the job
The team is in charge of the product, from silicon/sensor hardware, research, and developing algorithms, prototyping, software, and to commercialization. In this role, you will develop Camera solutions which will involve quality design, imaging algorithm evaluation and development.
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
- Develop, implement, and deploy imaging signal processing (ISP) features aligned with emerging camera technologies.
- Develop algorithms to achieve image quality, latency, and power goals.
- Improve quality and tuning methods by developing pipelines.
- Work with a variety of related teams including the silicon, hardware, software, research, and camera tuning teams to develop solutions to achieve quality and performance goals for commercialized products.
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