Senior Research Scientist, Beam

Google•Seattle, WA

2d•$174,000 - $252,000

About The Position

As a Research Scientist at Google, you will set up large-scale tests and quickly deploy promising ideas, managing deadlines and deliverables while applying current theories to develop products, processes, and technologies. The work spans research, experimentation, prototyping, and architecture design across computer science. You will contribute to the wider research community by sharing and publishing findings, drawing on internal projects and collaborations with partner universities and technical institutes. Google Research teams work across Google to develop intelligent systems and adapt research priorities to business needs. In this role, you will define research directions in AI and computer vision for real-time 3D telepresence, develop novel approaches to open problems, and translate research insights into product experiences. You will collaborate with hardware, software, and product teams, validate hypotheses through experiments and prototypes, and publish and present your work. Individual pay is based on factors including job-related skills, experience, and relevant education or training. The listed U.S. compensation is $174,000–$252,000, plus a 15% bonus target, equity, and benefits.

Requirements

PhD in Computer Science or a related field focused on computer vision, machine learning, or computer graphics, or equivalent practical experience.
At least 2 years of experience with Python and deep learning frameworks such as JAX, Flax, Gemma, or PyTorch.
One or more scientific publication submissions to conferences, journals, or public repositories, such as CVPR, ICCV, NeurIPS, ICML, ICLR, or SIGGRAPH.

Nice To Haves

Research experience and a track record in one or more of neural rendering, generative models, 3D reconstruction, video models, or real-time vision systems.
Experience building real-time AI or computer vision systems with strict latency and performance constraints, especially on edge devices or resource-constrained hardware.
Experience tech-leading a team, including setting research roadmaps, mentoring researchers, and driving technical decisions.
Ability to break down ambiguous program goals into staged milestones and deliver end-to-end from research concept to shipped product.
Excellent communication skills, including the ability to explain complex technical ideas clearly to technical and non-technical audiences.

Responsibilities

Define and drive research directions in AI and computer vision for real-time 3D telepresence.
Formulate novel approaches to open problems and translate fundamental research insights into product experiences.
Collaborate with hardware, software, and product teams to shape technical direction and the roadmap.
Conduct experiments to validate hypotheses, reduce risk in technical directions, and inform strategic decisions through prototypes and data-driven evaluations.
Publish and present research and represent Google in the broader research community.