Research Engineer - AI Compute Efficiency & Analytics

Google Inc.; New York (NY); Hybrid; USD 207,000 - 300,000; Full time

Job summary

DeepMind is seeking a Research Engineer to shape the future of AI development within the Gemini API and Beyond teams. You will perform research and analysis informing strategy for products enabling developers worldwide, collaborating with product managers, engineers, and researchers to design, develop, and deploy scalable AI solutions.

As part of DeepMind's AI Studio, you will contribute to compute allocation decisions and production strategy, aiming to identify efficiency opportunities.

Qualifications

• Bachelor's degree in CS, Math, Statistics, ML, Behavioral Science, or equivalent practical experience.
• Experience programming in Python or C++.
• Experience taking projects from concept 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 for platforms like AI Studio, Gemini API, and Beyond.
• Research and develop quantitative approaches to improve fleet-wide compute efficiency and tie usage patterns to product strategy.
• Contribute to reporting and analytical infrastructure, including advanced dashboarding techniques.
• Present and communicate complex research findings to cross-functional stakeholders.
• Collaborate across DeepMind to support high-quality, cross-product journeys for developers.

Skills

Python

C++

Education

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

Job description

DeepMind is seeking a Research Engineer to shape the future of AI development within the Gemini API and Beyond teams. You will perform research and analysis informing strategy for products enabling developers worldwide, collaborating with product managers, engineers, and researchers to design, develop, and deploy scalable AI solutions.

As part of DeepMind's AI Studio, you will contribute to compute allocation decisions and production strategy, aiming to identify efficiency opportunities.