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Research Scientist Manager, Neural Rendering, Google Beam

Google • Mountain View, CA • 3d ago

Minimum qualifications:

PhD degree in Computer Science, a related field, or equivalent practical experience.

4 years of people management experience leading a research team.

One or more scientific publication submission(s) for conferences, journals, or public repositories.

Preferred qualifications:

Experience with Video Processing, 3D Reconstruction, Image Segmentation.

Experience with Neural Radiance Fields, Neural Networks, Neural Renderings.

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.

In this role, you will lead a team of research scientists and software engineers to advance the real-time neural rendering for Google Beam. You will identify opportunities to improve quality and performance of reconstruction and rendering pipelines using neural networks, the latest generative AI approaches, and large-scale data curation. You will coordinate research efforts from experimental proto@types, through comparative analyses, to mature technologies ready to deploy in a real-time system.

Google Beam is a true-to-life new communication technology from Google that allows people to feel like they're having real face-to-face conversations, no matter the distance. Powered by realistic state-of-the-art 3D imaging and spatial audio and integrated with today's leading remote video platforms, Google Beam enables you to be immersed in the moment, together. As a part of the Google Beam team, you'll work with incredible teammates across all major functions in a fast-paced product-oriented environment. Your contributions will have an impact on the future of communications with Google products. You will apply technology to solve that really important problem that we often want to be together and we can't.

The US base salary range for this full-time position is $197,000-$291,000 + 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 .

Responsibilities:

Manage a team of researchers and software engineers, balancing project priorities, deadlines, and deliverables.

Recruit and hire talent to expand the team.

Lead the team to research, design, and develop deep neural networks for performing real-time novel view synthesis and other 3D image processing tasks such as generating 3D imagery, relighting, background segmentation, and general scene understanding.

Lead the team to research, design, and develop new hardware, software, systems, and processes for curating large volumes of training data for neural rendering models.

Integrate neural networks into real-time systems that stream over the internet.

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.

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