Job Description
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.
Experience in Artificial Intelligence (AI) or Machine Learning (ML).
Experience in Artificial Intelligence (AI) or Machine Learning (ML).
Experience in Artificial Intelligence (AI) or Machine Learning (ML).
Experience conducting research with technical audiences (e.g., developers, data analysts, or engineers).
Experience conducting research with technical audiences (e.g., developers, data analysts, or engineers).
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 GoogleCome 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.
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.
