At Google DeepMind, we're pushing the boundaries of Large Language Models (LLMs) to build the brain of the world's most helpful personal assistant. As a Research Scientist for Gemini Personal Intelligence, you will advance the state-of-the-art in understanding and reasoning to create an AI that truly understands, remembers, and adapts to the user's unique life and context.
Key responsibilities for this role include:
- Driving research on post-training techniques (e.g., RL, SFT, and preference optimisation) specifically tailored for personalisation scenarios.
- Developing novel evaluation frameworks and simulation methods to measure model quality against user behaviours / feedback.
- Designing and training agents capable of orchestrating tools and APIs to deliver hyper-personalised experiences.
We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don't work out.
To succeed in this role, you will need:
- A PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience).
- A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions).
- Strong software engineering skills to complement your research background.
In addition, hands-on experience with modern post-training methods (SFT, RLHF, etc.) and prior work applying LLMs to personalisation, memory, or agentic workflows would be an advantage.
At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer include enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options.
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