Research Scientist, Gemini Personal Intelligence
Role details
Job location
Tech stack
Job description
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
Requirements
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.
In order to set you up for success as a at Google DeepMind, we look for the following skills and experience:
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PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience).
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A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions), ranging from recent graduates to experienced researchers.
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Strong software engineering skills to complement your research background.
In addition, the following would be an advantage:
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Hands-on experience with modern post-training methods (SFT, RLHF, etc.).
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Prior work applying LLMs to personalization, memory, or agentic workflows.
Benefits & conditions
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: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.
We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).
The US base salary range for this full-time position is between $141,000 USD - 244,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.