Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 6 years of experience in an applied research setting (e.g., product or academic), or similar.
- Experience with research methods (e.g., usability, studies, contextual inquires, 1:1 interviews, unmoderated research studies).
Preferred qualifications:- Master's degree in AI, computer science, electrical/computer engineering, design engineering, AI engineering, robotics, or a related field.
- 6 years of experience building physical hardware prototypes, interactive systems, or working in research and development.
- Experience driving qualitative research and human-computer interaction initiatives within ambiguous problem spaces.
- Experience with hardware and sensor integration, and programming to independently engineer and build functional physical prototypes.
- Experience building AI tools including agentic workflows and automation.
About the jobYou'll play a critical role in helping your team understand user needs and will drive impact at all stages of product development, ensuring products are useful, usable, and helpful. You will explore user behaviors and motivations by conducting primary research, including: field studies, interviews, diary studies, ethnography, surveys, usability testing, and logs analysis. You will also grow within a supportive UXR community offering mentorship, regular meetups, and exclusive internal tools.
In this role, you will collaborate with teams across Google to define what Pixel intelligence means by co-designing experiences across the full AI stack from compute capabilities to user interface. You will independently prototype future-forward concepts and evaluate them with real users.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $230000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Employ an AI-forward research approach by embedding agentic workflows and AI tooling into research processes to accelerate execution and ensure scalability.
- Build new UX experiences while co-designing across the full AI stack (e.g., intelligent interfaces, sensing, and compute). Develop and test prototypes that explore technical trade-offs (e.g., cloud vs. on-device inference).
- Explore novel UX opportunities and create physical, testable prototypes for user evaluation.
- Apply first-principles thinking to challenge the status quo and deconstruct challenges to fundamental truths.
