Research Engineer, Project Astra, GenAi, Google DeepMind

Snapshot

Project Astra has the mission of researching and building a Universal AI Assistant. We regularly show the most breakthrough research prototypes to the world and are looking to expand the team with someone to work on agentic research and development.

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.

Project Astra has been presented to the public during Google I/O 2024. Since then we released our experimental app to a select pool of trusted testers and have been pioneering agentic research at Google DeepMind. We presented at Google I/O 2025 and have more exciting launches to come! We constantly prototype frontier agentic capabilities and showcase what the future AI assistant could look like.

The Role

• We are looking for a Research Engineer to join the team and work towards building a Universal Assistant.
• We are looking for someone excited about our mission and interested in working on a broad range of problems: from agentic research to infrastructure projects, from data and evaluation workflows to improving reliability of our engineering stack. Specific tasks are dependent on new joiners skills and interests, and current team needs.

Key responsibilities:

• The team is working on a full stack Universal Assistant prototype and there are opportunities to contribute to the project across workstreams including:
• Agent infrastructure
• Multi-agent systems
• Model inference and optimisations
• Model fine-tuning and evaluation
• Prompt optimisations
• Full-stack integration
• We collaborate with a number of teams across GDM including Gemini and Gemini App. This role would involve working with a number of partners in a collaborative way.

About You

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

• Knowledge of the current trends, frameworks and approaches in agentic AI
• Creative problem-solving skills applicable to agentic AI workflows
• Demonstrated ability to conduct research and/or to engineer complex systems

In addition, the following would be an advantage: 

• Experience with building agentic workflows
• Experience with data collection, model fine-tuning and evaluation
• Track record of publication at leading conferences on the topic of agentic AI and multimodal LLMs
• Proficient Python
• Inference optimization techniques
• Extensive prompt tuning experience

Application deadline: 12pm GMT Friday, 30th January 2026 

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