Research Engineer, Gemini Large Scale Pretraining

Highlights

• Enable new Gemini pretraining research via long-term engineering projects.
• Support large-scale training runs and resolve time-sensitive issues.
• Improve pretraining tooling and workflows used across research teams.

What they offer

• 15% bonus target
• equity
• benefits

Ideal candidate

A collaborative software engineer excited by large-scale AI research who balances solid engineering with researcher-friendly flexibility and thrives supporting ambitious, fast-moving training efforts.

Requirements

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
• 2 years of experience with software engineering involving Python-based ML/scientific libraries such as JAX or internship experience in these areas or OSS contributions
• 1 year of experience with machine learning
• Experience with large-scale system design, distributed systems, or performance engineering
• Understanding of engineering best practices, codebase design, and testing
• Familiarity with how modern large language models are trained
• Ability to collaborate and communicate effectively across time zones and skill sets