Research Scientist, Gemini Personal Intelligence

• 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.

• 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.

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

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.