Google
Mixed Methods UX Researcher, AI and Compute Enablement
Google, Sunnyvale, California, United States, 94087
Mixed Methods UX Researcher, AI and Compute Enablement
Join to apply for the Mixed Methods UX Researcher, AI and Compute Enablement role at Google.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; Sunnyvale, CA, USA.
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 inquiries, one-to-one interviews, unmoderated research studies).
Preferred qualifications
Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
Experience collaborating with multidisciplinary teams throughout the entire product development process.
Experience in front-end development, technical UX design, or prototyping.
Experience utilizing various research methods including usability studies, contextual inquiry, and surveys to drive product improvements.
Knowledge in AI/ML academic research or development with passion for GenAI systems and the developers who build them.
Ability to operate with high flexibility and apply a problem-solving attitude in ambiguous environments.
About the job At Google, we follow a simple but vital premise: Focus on the user and all else will follow. UX researchers gather insights about the needs, attitudes, emotions, and behaviors of people who use our products to inform design. We collaborate with UX Designers, Writers, Content Strategists, Program Managers, and Engineers to create products that deliver value for users and Google’s business.
The UXR will help the team understand user needs, work with stakeholders across functions, and conduct primary research such as field studies, interviews, diary studies, workshops, ethnography, surveys, usability testing, and logs analysis. The UXR community offers opportunities to connect with other researchers and access to internal research tools.
The AI and Compute Enablement (ACE) team drives Google's next-gen user-centric AI and compute innovations, providing platforms and infrastructure to build and deploy AI/ML into products for internal and external users. The Technical Infrastructure team maintains data centers and Google platforms to support our product portfolio.
Compensation: The US base salary range for this full-time position is $151,000-$222,000 plus bonus, equity and benefits. Final compensation is determined by location and other factors. Recruiter can share specific ranges during hiring. Note: Compensation details reflect base salary only and do not include bonus, equity, or benefits. Learn more about Google benefits.
Responsibilities
Identify and prioritize high-impact research opportunities that align with product, design, and business objectives to define and influence strategy and roadmaps for MSCA products and solutions.
Scope and execute foundational, exploratory, and evaluative research using qualitative and quantitative methods (surveys, interviews, analysis) to answer product questions, improve customer pain points, and drive business value.
Synthesize data into insights, reports, and presentations to inspire adoption and inform cross-functional partners.
Engage in rapid research, design facilitation, stakeholder alignment, and prototyping to solve user problems and scale user-centric solutions.
Build partnerships with peers and stakeholders, incorporating technical and business domain expertise into research, and leverage user data to navigate ambiguity.
Google is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. See Google's EEO Policy. If you require accommodations, please let us know via the Accommodations for Applicants form.
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; Sunnyvale, CA, USA.
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 inquiries, one-to-one interviews, unmoderated research studies).
Preferred qualifications
Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
Experience collaborating with multidisciplinary teams throughout the entire product development process.
Experience in front-end development, technical UX design, or prototyping.
Experience utilizing various research methods including usability studies, contextual inquiry, and surveys to drive product improvements.
Knowledge in AI/ML academic research or development with passion for GenAI systems and the developers who build them.
Ability to operate with high flexibility and apply a problem-solving attitude in ambiguous environments.
About the job At Google, we follow a simple but vital premise: Focus on the user and all else will follow. UX researchers gather insights about the needs, attitudes, emotions, and behaviors of people who use our products to inform design. We collaborate with UX Designers, Writers, Content Strategists, Program Managers, and Engineers to create products that deliver value for users and Google’s business.
The UXR will help the team understand user needs, work with stakeholders across functions, and conduct primary research such as field studies, interviews, diary studies, workshops, ethnography, surveys, usability testing, and logs analysis. The UXR community offers opportunities to connect with other researchers and access to internal research tools.
The AI and Compute Enablement (ACE) team drives Google's next-gen user-centric AI and compute innovations, providing platforms and infrastructure to build and deploy AI/ML into products for internal and external users. The Technical Infrastructure team maintains data centers and Google platforms to support our product portfolio.
Compensation: The US base salary range for this full-time position is $151,000-$222,000 plus bonus, equity and benefits. Final compensation is determined by location and other factors. Recruiter can share specific ranges during hiring. Note: Compensation details reflect base salary only and do not include bonus, equity, or benefits. Learn more about Google benefits.
Responsibilities
Identify and prioritize high-impact research opportunities that align with product, design, and business objectives to define and influence strategy and roadmaps for MSCA products and solutions.
Scope and execute foundational, exploratory, and evaluative research using qualitative and quantitative methods (surveys, interviews, analysis) to answer product questions, improve customer pain points, and drive business value.
Synthesize data into insights, reports, and presentations to inspire adoption and inform cross-functional partners.
Engage in rapid research, design facilitation, stakeholder alignment, and prototyping to solve user problems and scale user-centric solutions.
Build partnerships with peers and stakeholders, incorporating technical and business domain expertise into research, and leverage user data to navigate ambiguity.
Google is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. See Google's EEO Policy. If you require accommodations, please let us know via the Accommodations for Applicants form.
#J-18808-Ljbffr