Software Engineer, Gemini Pretraining Codebase

The role

You will join the team which is responsible for the codebase researchers use to train the latest Gemini models. The team focuses on ensuring that the codebase is reliable, produces correct results, and enables researchers to try new ideas as effortlessly as possible. We also collaborate with teams which own lower level libraries or the infrastructure required to train very large language models.

Key responsibilities

As a software engineer in the team the work consists of a mix of

• 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. This requires both a deep understanding of the codebase and a broad understanding of the entire tech stack, the model architecture and data pipeline.
• Developing the right balance between good engineering practices and having a flexible codebase which researchers find easy to use and extend.

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

About you

In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:

• Bachelor's degree or equivalent practical experience and 3+ years of relevant work experience.
• Proven track record of maintaining, improving, and testing a complex codebase with hundreds of users.
• 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.

In addition, the following would be an advantage: 

• Familiarity with how modern large language models are trained is preferred but not required. 
• Expertise in machine learning

Application deadline: December 16, 2025

The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.