Minimum qualifications: Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience.
8 years of experience in an applied research setting, or similar.
Research or Industry experience in Artificial Intelligence, Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Deep Learning. Preferred qualifications: Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. 8 years of experience conducting UX research on products. 7 years of experience working with executive leadership (e.g., Director level and above). Experience leveraging a range of qualitative and quantitative research methods and analysis techniques in highly diverse disciplinary environments.
Ability to participate in complex technical discussions. A deep passion for AI technology and all of its possibilities. About the job At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." User Experience Researchers (UXRs) make this possible.
Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the needs, attitudes, emotions, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google's businesses.
As a User Experience Researcher (UXR), you'll help your team of UXers, product managers, and engineers understand user needs. You'll work with stakeholders across functions and levels and have impact at all stages of product development. You'll play a critical role in creating useful, usable, and delightful products. You'll explore user behaviors and motivations by conducting primary research such as field studies, interviews, diary studies, participatory workshops, ethnography, surveys, usability testing, and logs analysis.
The UXR community at Google is unique and will help you do your best work. You'll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools.
This role will work closely with our product partners in AI and Data, ML Infrastructure and GenAI development and engineering stakeholders in London to help accelerate our research-to-production goals with our customer and partner Google Deep Mind.
User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users' needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products' unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google's philosophy: "Focus on the user and all else will follow."
Responsibilities Influence stakeholders across functions to gain support for research-based, user-centric solutions. Partner closely with other researchers, designers, product management, engineering and other cross-functional partners to achieve alignment, shared goals, and success. Drive project priorities in alignment with larger project goals, and coordinate allocation of resources within the project. Identify opportunities to expand responsibilities within and across a product. Lead ideas to improve products and services through research-driven insights and recommendations. Drive teams to define and evaluate product, service, and ecosystem impact. Lead vision and strategy discussions through research by analyzing, consolidating, or synthesizing what is known about user, product, service, or business needs.
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