Job Information
Google Camera Software Engineer, Machine Learning in New Taipei City, Taiwan
Google welcomes people with disabilities.
Minimum qualifications:
Bachelor’s degree in Computer Science or Electrical Engineering, or a related field, or equivalent practical experience.
5 years of experience with software development in C++ or Python with data structures or algorithms.
3 years of industry experience in developing software products, and 1 year of experience with software design and architecture.
3 years of experience in image processing, machine learning or computational photography.
Preferred qualifications:
Experience in phone product development.
Experience in camera 3A (e.g., auto white balance, auto exposure, auto focus) software and algorithm development.
Experience in Tensorflow.
Knowledge of color tuning.
Excellent investigative and problem-solving skills for debugging code, optimizing algorithms, and troubleshooting technical issues.
Our team develops advanced algorithms and software systems to improve Pixel camera color photography experience, especially in tuning efficiency and accuracy. We launch exciting research projects into each year’s Pixel camera and make an immediate impact on Pixel phone users across the world.
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.
Develop machine learning based automation system or algorithms for auto white balance, color tuning, and quality evaluation.
Participate in camera auto white balance, color tuning, and image quality evaluation.
Collaborate with software teams and hardware teams to improve image quality.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.