Research Engineer, Project Astra, GenAi, Google DeepMindNew
Role details
Job location
Tech stack
Job description
- 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:
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The team is working on a full stack Universal Assistant prototype and there are opportunities to contribute to the project across workstreams including:
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Agent infrastructure
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Multi-agent systems
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Model inference and optimisations
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Model fine-tuning and evaluation
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Prompt optimisations
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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.
Requirements
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