Research Manager, Neural Rendering, Project Starline
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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.
About the job
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.
Lead a team of research scientists and software engineers to advance the state of the art in real-time neural rendering for Project Starline. 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. Coordinate research efforts from experimental prototypes, through comparative analyses, to mature technologies ready to deploy in a real-time system.
Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.
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.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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