UX Researcher, Human Factors
Not Disclosed•Full-TimeOn-site
location_on9, East 45th Street, Midtown, Manhattan Community Board 5, Manhattan, New York County, New York, 10017, United States
For decades, the computing revolution has reshaped our world, driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap: the convergence of AI and XR. This is more than just new devices; it is about reimagining how we interact with the world around us. We are building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
At Google, we "Focus on the user and all else will follow." As a User Experience Researcher (UXR) specializing in Human Factors, 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 will 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.
In this mid-level role, 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. As a mid-level contributor, you will be expected to drive progress, solve complex problems, and mentor more junior team members while applying deeper expertise in relevant areas.
By applying to this position, you will have an opportunity to share your preferred working location from the following: San Jose, CA; Miami, FL; New York, NY; or San Francisco, CA. Applicants in San Francisco should note that 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.
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, or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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.
Work model: On-site
9, East 45th Street, Midtown, Manhattan Community Board 5, Manhattan, New York County, New York, 10017, United States
New York, New York
Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. Experience in physical product environments conducting research to drive ergonomics and physical design decisions. 3 years of experience working with executive leadership (e.g., Director level and above). 2 years of experience conducting UX research on products, managing projects, and working in a large, matrixed organization. Applied experience conducting research in Augmented Reality and Virtual Reality product environments. Strong understanding of human physiology, human performance, visual processing, attentional demands, ergonomics, etc.
Skills: Usability, Contextual Inquires, 1:1 Interviews, Unmoderated Research Studies, Field Studies, Diary Studies, Ethnography, Surveys, Usability Testing, Logs Analysis.
Education: Bachelor's degree or equivalent practical experience; Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field; Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
