Google DeepMind is looking to solve the problem of enabling researchers to train the latest Gemini models by ensuring the codebase is reliable, produces correct results, and allows for effortless experimentation with new ideas.
Requirements
- Proven track record of maintaining, improving, and testing a complex codebase with hundreds of users.
- Familiarity with how modern large language models are trained is preferred but not required.
- Expertise in machine learning
Responsibilities
- Long term projects to enable new research which involve multiple team members and require mature software engineering implementation and design skills.
- Fast paced reactive work to fix breakages affecting workflows or to implement new features on a compressed timeline for time sensitive projects.
- Providing support and answering researchers’ technical questions.
- Developing the right balance between good engineering practices and having a flexible codebase which researchers find easy to use and extend.
Other
- Bachelor's degree or equivalent practical experience and 3+ years of relevant work experience.
- You enjoy working and interacting with people with different skill sets and needs and can communicate effectively with them.
- You are comfortable working with people distributed across different timezones.
- Application deadline: December 16, 2025
- The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits.
