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

Job description

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. 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.