Research Engineer, AI Compute & Efficiency

Google; Ionia (NY); Hybrid; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google DeepMind is seeking a Research Engineer for the Gemini API and Beyond Serving Compute Efficiency. You will lead cost reporting, analyze fleet-wide compute usage, and develop scalable analytics infrastructure to inform product strategy.

The role focuses on high-impact AI solutions with cross-functional collaboration across product, engineering, and research teams. The position emphasizes productionizing research, advancing developer tooling, and contributing to Google’s AI strategy while

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.

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.

Skills

Python

C++

Industry experience

Statistical methods

Product team experience

Education

Bachelor's degree

Job description

Google DeepMind is seeking a Research Engineer for the Gemini API and Beyond Serving Compute Efficiency. You will lead cost reporting, analyze fleet-wide compute usage, and develop scalable analytics infrastructure to inform product strategy.

The role focuses on high-impact AI solutions with cross-functional collaboration across product, engineering, and research teams. The position emphasizes productionizing research, advancing developer tooling, and contributing to Google’s AI strategy while