Research Engineer, AI Compute Efficiency & Platforms

Google Inc.; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind in Mountain View is seeking a Research Engineer for the Gemini API and Beyond teams to shape the future of AI development by researching, designing, and deploying scalable, high-performance solutions. You will collaborate with product managers, engineers, and researchers to translate experiments into production features and to optimize compute usage across platforms.

This role offers broad impact, competitive compensation, equity, and a culture focused on safety and ethics.

Qualifications

• Bachelor's degree in CS, Math, Stats, ML 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

• Shape the future of AI development by conducting research and analysis to inform product strategy.
• Collaborate with product managers, engineers, and researchers to design, develop, and deploy scalable AI solutions.
• Identify efficiency opportunities and inform decisions on compute allocation and production strategy.
• Develop reporting and analytical infrastructure for fleet-wide compute efficiency and usage patterns.
• Present complex research findings to diverse stakeholders and contribute to cross-functional journeys for developers.

Skills

Python

C++

Product team collaboration

Education

Bachelor's degree in CS, Mathematics, Statistics, ML or related field

Job description

Google DeepMind in Mountain View is seeking a Research Engineer for the Gemini API and Beyond teams to shape the future of AI development by researching, designing, and deploying scalable, high-performance solutions. You will collaborate with product managers, engineers, and researchers to translate experiments into production features and to optimize compute usage across platforms.

This role offers broad impact, competitive compensation, equity, and a culture focused on safety and ethics.