Staff UX Researcher, GeminiApp, DeepMind

Google Inc.; Mountain View (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

DeepMind in Mountain View, CA, is seeking a Staff UX Researcher to shape user experience across GeminiApp and related AI products. You will lead qualitative and quantitative studies, partner with product and engineering teams, and help define research strategy for consumer-facing AI systems.

Required: Bachelor's in HCI/Psych/Cognitive Science or related field and 8+ years of UX research experience in consumer tech; expertise in mixed methods and ML-driven product contexts; willingness to work

Qualifications

• Bachelor's degree in HCI, Psychology, Cognitive Science, or related field is required.
• 8+ years of experience in UX research, product strategy, or related field in consumer tech.
• Experience with both qualitative and quantitative research methods.

Skills

Qualitative research

Quantitative research

User interviews

Usability testing

Cross-functional collaboration

Education

Bachelor's degree in HCI / Psychology / Cognitive Science

Job description

Staff UX Researcher, GeminiApp, DeepMind

DeepMind Mountain View, CA, USA ; San Francisco, CA, USA

X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA.

• 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 in qualitative and quantitative research methods.

Preferred qualifications:

• Experience working on systems (e.g., AI, search, algorithmic feeds, or cloud platforms) where the user experience is driven by machine learning