Research Engineer, Gemini API and Beyond Serving Compute Efficiency, DeepMind

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

Bachelor's degree in Computer Science, Mathematics, Statistics, Machine Learning, Behavioral Science, or equivalent practical experience.

Experience programming in Python or C++.

Experience working in industry, taking projects from proof-of-concept through to implementation.

Experience applying experimental ideas to applied problems using statistical methods.

Experience working on a product team.

Preferred qualifications:

Master's degree or PhD/DPhil in a related technical or scientific field.

Experience applying and productionizing state-of-the-art large visual, language, and multimodal research, coupled with a passion for improving developer experience and generative AI.

Proficiency or experience with front-end design skill.

Understanding of compute allocation and serving architecture.

Excellent data visualization and communication skills, with a track record of cross-functional collaboration and working effectively on a product team.

About the job

As a part of DeepMind's high-visibility AI Studio and Gemini API team, you will shape the future of AI development. You will do research and analysis that directly informs strategy for a product that empowers developers worldwide. You will collaborate closely with product managers, engineers, and researchers to design, develop, and deploy scalable, high-performance AI solutions. You will grow in a fast-paced, innovative environment where your technical expertise and passion for AI will directly impact Google's AI strategy.

You can see some of our work in aistudio.google.com.

In this role, you will enable us to understand usage of our systems in scalable ways, informing decisions around compute allocation and production strategy. Your goal is to identify and understand efficiency opportunities and gaps.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Lead the reporting of compute costs and utilization, while implementing critical business, product, and engineering metrics for platforms like AI Studio, Gemini API, and Beyond.

Research and develop quantitative approaches to improve fleet-wide compute efficiency, and connect these usage patterns to product and business strategy.

Contribute to innovative reporting and analytical infrastructure, including the use of agentic workflows and advanced dashboarding techniques.

Present and communicate complex research findings in a compelling manner to a varied set of stakeholders.

Collaborate across DeepMind (GDM) organizations to support high-quality, cross-product journeys for developers.