Research Engineer – AI Studio Compute & Insights

Google DeepMind; New York (NY); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Bonus target 20%

Equity

Benefits

Job summary

Google DeepMind seeks a senior professional to shape analytics for AI Studio and Gemini API, researching and deploying scalable AI solutions that inform compute allocation and product strategy.

You will collaborate with product managers, engineers, and researchers to turn data into actionable insights, delivering high-impact dashboards for developers worldwide and contributing to Google's AI strategy in a fast-paced environment.

Qualifications

• Bachelor's degree in CS, Math, 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 (CS/Math/Stats/ML/Behavioral Science)

Master's degree

PhD

Job description

Google DeepMind seeks a senior professional to shape analytics for AI Studio and Gemini API, researching and deploying scalable AI solutions that inform compute allocation and product strategy.

You will collaborate with product managers, engineers, and researchers to turn data into actionable insights, delivering high-impact dashboards for developers worldwide and contributing to Google's AI strategy in a fast-paced environment.