Minimum qualifications:

　　Bachelor's degree or equivalent practical experience.

　　5 years of experience with software development in one or more programming languages, and with data structures/algorithms.

　　3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

　　3 years of experience in machine learning.

　　Experience in profiling and optimizing neural networks (e.g., puring, quantitation, experimental tuning).

　　Experience collaborating in a research environment and presenting results.

　　Preferred qualifications:

　　PhD in Machine Learning, Computer Vision, Computer Science.

　　Experience in deploying neural networks on resource constrained devices (e.g., mobile phones, DSPs, hardware accelerators, embedded devices).

　　Familiarity with Image Signal Processor (ISP) algorithms.

　　Familiarity with imaging and color science, and image quality metrics.

　　Passion for photography.

　　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 join our team to work on multiple problems at the intersection of machine learning, image processing and computer vision.

　　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.

　　The US base salary range for this full-time position is $157,000-$235,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

　　Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

　　Research and develop state-of-the-art neural-based techniques for raw image processing, reconstruction, image enhancements, generative imaging and computer vision.

　　Create and benchmark ML models optimized for power, memory and performance on dedicated Pixel cores.

　　Build processing, augmentation and evaluation pipelines to support ML experiments.

　　Collaborate with the wider team to define the roadmap and identify new areas of research.

　　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.