Staff UX Researcher, GeminiApp, DeepMind

Google•Mountain View, CA

3d•$188,000 - $274,000

About The Position

Google DeepMind is seeking a Staff UX Researcher for GeminiApp to lead research that informs the product’s direction and evaluation. The role focuses on identifying emerging user needs in generative AI and conducting foundational research to shape the multi-year product roadmap. It also involves defining user signals for model tuning through Reinforcement Learning from Human Feedback (RLHF), helping align the AI’s personality and reasoning with user expectations. The researcher will partner across research, product management, and strategy and operations, and develop new frameworks for evaluating AI concepts that conventional UX metrics may not capture. Google DeepMind is an interdisciplinary AI lab advancing AI to address complex global challenges and accelerate product innovation. Its work emphasizes widespread public benefit, scientific discovery, safety, and ethics. The role is based in the United States pay range of $188,000–$274,000, plus a 20% bonus target, equity, and benefits. Individual pay depends on job-related skills, experience, and relevant education or training.

Requirements

Bachelor’s degree in Human-Computer Interaction, Psychology, Cognitive Science, or a related field, or equivalent practical experience.
8 years of experience in User Experience Research, Product Strategy, or a related field within consumer-facing technology.
Experience with qualitative and quantitative research methods.

Nice To Haves

Experience working on systems driven by machine learning, such as AI, search, algorithmic feeds, or cloud platforms.
Experience influencing executive stakeholders and managing product changes through evidence-based narratives.

Responsibilities

Identify emerging user needs in generative AI and lead foundational research that informs the multi-year product roadmap.
Define signals for model tuning through Reinforcement Learning from Human Feedback (RLHF), helping align the AI’s personality and reasoning with user expectations.
Partner with Research, Product Management, and Strategy and Operations to integrate user insights into core business and technical strategy.
Develop and scale frameworks for evaluating AI, including measures for concepts such as hallucination tolerance, creative agency, and collaborative trust.