Research Scientist, Gemini Personal Intelligence Mountain View, California,

Mountain View, California, US

At Google Deep Mind, 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.

Our team drives the Personal Intelligence research behind Gemini, with a mission to make AI more personal, proactive, and context‑aware. You will push the boundaries of Large Language Models (LLMs) to build the brain of the world’s most helpful personal assistant—one that securely integrates with users' personal data to solve real‑world problems. Our core research focus areas include:

• Personalization:
  Inferring and adapting to user intent, preferences, communication styles, etc.
• Agency:
  Empowering AI models to autonomously plan, use tools, and execute complex tasks on behalf of the user.

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:

• Driving research on post‑training techniques (e.g., RL, SFT, and preference optimization) specifically tailored for personalization scenarios.
• Developing novel evaluation frameworks and simulation methods to measure model quality against user behaviors / feedback.
• Designing and training agents capable of orchestrating tools and APIs to deliver hyper‑personalized 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.

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

• 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), ranging from recent graduates to experienced researchers.
• Strong software engineering skills to complement your research background.

In addition, the following would be an advantage:

• Hands‑on experience with modern post‑training methods (SFT, RLHF, etc.).
• Prior work applying LLMs to personalization, memory, or agentic workflows.

At Google Deep Mind, 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.

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.

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