UX Researcher, Core, Data UX, AI Foundations

Google LLC

San Jose, CA

JOB DETAILS
SKILLS
Alliance/Partner Management, Analysis Skills, Anthropology, Application Programming Interface (API), Artificial Intelligence (AI), Channel Strategies, Cloud Computing, Cognitive Science, Community Support, Consulting, Contextual Inquiry, Cross-Functional, Customer/Consumer Behavior, Data Analysis, Data Processing, Ecosystems, English Language, Equal Employment Opportunity (EEO), Federal Government, Financial Services, Genetics, Government, Human-Computer Interaction, Independent Software Vendor (ISV), Internet Security, Internet of Things, Machine Learning, Manufacturing Operations Management, Matrix Management, Mentoring, Needs Assessment, Operations Security (OPSEC), Process Improvement, Product Development, Product Engineering, Project/Program Management, Psychology, Qualitative Analysis, Recruiting/Staffing Agency, Regulatory Requirements, Research Skills, Sales Management, Scientific Research, Statistics, Supply Chain Operations, Technical Leadership, Technical Research, Technical Support, Usability Engineering, Usability Testing, User Experience Design (UXD), User Interface/Experience (UI/UX), YouTube
LOCATION
San Jose, CA
POSTED
3 days ago

UX Researcher, Core, Data UX, AI Foundations - Google Careers

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UX Researcher, Core, Data UX, AI Foundations

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corporate_fareGoogleplaceSan Jose, CA, USA; Kirkland, WA, USA; +3 more; +2 more

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Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

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XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA.

Minimum qualifications:

  • Bachelor"s degree or equivalent practical experience.

  • 1 year of experience with research design utilizing various methods including, usability studies, contextual inquiry, and surveys.

  • Experience with research methods (e.g., usability, studies, contextual inquires, 1:1 interviews, unmoderated research studies).

  • Experience in Artificial Intelligence (AI) or Machine Learning (ML).

Preferred qualifications:

  • Master"s degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.

  • 1 year of experience conducting UX research on products and working in a large, matrixed organization.

  • Experience using AI-powered tools for qualitative data analysis (e.g., transcription, summarization, thematic analysis).

  • Experience conducting research with technical audiences (e.g., developers, data analysts, or engineers).

  • Basic coursework or project experience related to AI/ML or data processing.

About the job

At Google, we "Focus on the user and all else will follow." As a User Experience Researcher (UXR), you make this possible. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, to gather insights and create industry-leading products.

You'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.

Come join the Data UX team! We sit within Core's AI Foundations organization-a team dedicated to accelerating and scaling Google"s ability to deliver world-leading products in the AI era. We build the tools and infrastructure that enable ML researchers, data engineers, and AI/ML developers to create cutting-edge AI products across Google"s ecosystem.

You will drive research to characterize and optimize the end-to-end workflow for AI/ML and data engineers, researchers, and scientists at Google, focusing on identifying bottlenecks and shaping next-generation, AI-driven tools and agentic systems.

The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $109000 - $156000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Conduct research to identify bottlenecks and drive improvements in the efficiency of Googlers building, training, and deploying AI models, systems, and agents.
  • Contribute research insights that inform the design of next-generation, AI-driven UIs and workflows, moving beyond traditional interfaces.
  • Execute evaluative research (e.g., usability studies, heuristic evaluations) on internal tools that support AI development cycles, data governance, and agentic systems within the data UX portfolio.
  • Use and experiment with internal AI/ML-powered tools for analyzing and synthesizing complex research data (both qualitative and quantitative to generate novel insights and efficiencies).
  • Collaborate with product managers, engineers, and UX designers to define research questions.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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