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Minimum qualifications:

+ PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or in a related technical field, or equivalent practical experience.

+ 2 years of experience in computer vision, Machine Learning (ML), image processing, or computer graphics.

+ Experience in Python programming.

+ One or more scientific publication submission(s) for conferences, journals, or public repositories. (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc).

+ Experience in state of the art ML and deep learning using modern ML packages e.g. JAX, and TensorFlow.

Preferred qualifications:

+ Ability to design and execute on research agendas.

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

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.

This team's mission is to develop fundamental, state of the art, imaging, and Machine Learning (ML) research and technology, widely applicable to Google products, and helpful to users.

Over the last several years, this team has developed several core technologies including the digital zoom pipeline for the Pixel phones, which includes the multi-frame super-resolution pipeline. Most recently, this team led the development of the Unblur feature launched in Google Photos with Pixel 7/pro. Unblur is the most frequently used premium feature on Pixel.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 ML for computer vision, computational photography, graphics, image or video processing, and generative AI.

+ Demonstrate strong programming application skills in Python, and knowledge of ML platforms such as Jax, TensorFlow, and Pytorch.

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/OFCCP_EEO_Post.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.