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

Research Engineer, Gemini API and Beyond Serving Compute Efficiency, DeepMind - Google Careers

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

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corporate_fareDeepMindplaceMountain View, CA, USA; New York, NY, USA

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XNote: 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity 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 condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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