Software Engineer III, Machine Learning, Pixel Camera

1 Hour ago • 2-4 Years • Artificial Intelligence • Research & Development

About the job

Summary

This role involves developing advanced algorithms and software systems for improving the Pixel camera's color photography, specifically focusing on auto white balance and color quality. Responsibilities include developing AI/ML algorithms, collaborating with camera software and hardware teams, and launching research projects to directly impact Pixel phone users. The ideal candidate possesses strong C++ and Python skills, along with experience in image processing, machine learning, and computational photography. Experience with auto white balance algorithm development is highly preferred. The position contributes to Google's Pixel team, dedicated to designing and delivering the world's most helpful mobile experience.
Must have:
  • C++ and Python experience
  • Image processing expertise
  • Machine learning skills
  • Auto white balance algorithm development
  • Pixel camera software development
Good to have:
  • Master's or PhD in relevant field
  • Machine learning auto white balance experience
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Minimum qualifications:

  • Bachelor's degree in Electrical and Computer Engineering, Computer Science, or equivalent practical experience.
  • 2 years of experience with C++ and Python.
  • 2 years of experience in Image processing, Machine Learning (ML) or computational photography.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or Electrical Engineering, or in a related technical field, or equivalent practical experience.
  • 2 years of experience in auto white balance algorithm development.
  • 2 years of Machine Learning auto white balance experience.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will develop advanced algorithms and software systems to improve the Pixel camera color photography experience. You will launch exciting research projects into each year’s Pixel camera and make an immediate impact on Pixel phone users.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Responsibilities

  • Work on software development for Pixel Camera Auto White Balance and Color algorithms.
  • Develop advanced Artificial Intelligence/Machine Learning (AI/ML) algorithms to improve camera auto white balance and color quality.
  • Collaborate with camera software, and hardware teams inside and outside for Pixel camera product development.
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About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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