Research Scientist Manager, Neural Rendering, Project Starline

Google; San Francisco (CA); On-site; USD 197,000 - 291,000; Full time

Job summary

A leading company is seeking a Research Scientist Manager for Neural Rendering to lead a team in advancing real-time neural rendering technology. The role involves managing projects, developing innovative solutions, and contributing to the research community. Ideal candidates will have a PhD and experience in video processing and neural networks.

Qualifications

• 4 years of people management experience leading a research team.
• One or more scientific publication submissions to conferences, journals, or public repositories.

Responsibilities

• Manage a team of researchers and engineers, balancing project priorities.
• Research, design, and develop deep neural networks for real-time view synthesis.
• Develop new hardware, software, systems, and processes for large-scale neural rendering.

Skills

Video Processing

3D Reconstruction

Image Segmentation

Neural Radiance Fields

Neural Networks

Neural Renderings

Education

PhD degree in Computer Science

Job description

Research Scientist Manager, Neural Rendering, Project Starline

corporate_fare Google place Seattle, WA, USA; Mountain View, CA, USA; +1 more

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info_outline

info_outline X Info Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Mountain View, CA, USA; San Francisco, CA, USA.

• 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 submissions to 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

Google maintains a portfolio of research projects driven by fundamental research, product innovation, contribution, and infrastructure goals, while providing teams the freedom to emphasize specific work areas. As a Research Scientist, you'll set up large-scale tests, deploy promising ideas quickly, manage deadlines, and develop new products, processes, or technologies by applying the latest theories. Your work will include creating experiments, prototyping implementations, designing new architectures, and tackling real-world problems across various computer science fields.

You will actively contribute to the research community by sharing and publishing your findings, inspired by internal projects and collaborations with universities and institutes worldwide.

Lead a team of research scientists and software engineers to advance real-time neural rendering for Project Starline. Identify opportunities to improve reconstruction and rendering quality and performance using neural networks, generative AI, and large-scale data curation. Oversee research efforts from prototypes to deployment in a real-time system.

Labs focuses on incubating early-stage efforts to support Google's mission of organizing the world's information. Our team aims to discover and create new ways to enhance core products through exploration and new technologies, building solutions that could transform user interaction with Google. Our goal is to develop impactful new products and capabilities.

The US base salary range for this position is $197,000-$291,000 plus bonus, equity, and benefits. Salary is determined by role, level, location, skills, experience, and education. Your recruiter can provide specific salary details for your location during hiring.

Note that listed compensation reflects base salary only, excluding bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Manage a team of researchers and engineers, balancing project priorities, deadlines, and deliverables.
• Recruit and hire new talent.
• Research, design, and develop deep neural networks for real-time view synthesis and 3D image processing tasks like generating 3D imagery, relighting, background segmentation, and scene understanding.
• Develop new hardware, software, systems, and processes for large-scale neural rendering data curation.
• Integrate neural networks into real-time streaming systems.

Google is an equal opportunity employer committed to diversity and inclusion. We value a workforce that reflects the users we serve and promote a culture of belonging. We provide equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related conditions.

English proficiency is required for global collaboration unless otherwise specified.

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