User Experience Researcher

We are looking for a UX Researcher (quantitative) to join our team! We are looking for someone proficient in R and Python and someone coming from and AI background or a hardware background.

ABOUT THIS FEATURED OPPORTUNITY

Our client seeks to explore, innovate, and design novel interfaces and hardware subsystems for the next generation of computing — the kind of work shaping how people will wear and interact with computing devices in everyday life. This research and experience team supports research across next-generation wearable hardware, contextual AI assistants, and sensing technology that understands the world around the wearer.

We are looking for a quantitative UX Researcher to lead measurement and analysis across a portfolio of studies on cutting-edge, pre-release technology. In this role, you will work with a highly interdisciplinary group of researchers, product managers, and engineers, and will have access to unreleased hardware, resources, and testing facilities.

THE OPPORTUNITY FOR YOU

• Design and execute quantitative studies, including experimental, quasi-experimental, survey, and longitudinal designs
• Own analysis end to end: hypothesis specification, power analysis, data cleaning, modeling, and interpretation
• Build and validate measurement instruments, including behaviorally anchored scales and scorecards intended for adoption by other teams — ownership of a recurring scorecard reviewed by leadership month over month is a core, near-term deliverable
• Analyze repeated-measures and longitudinal data using appropriate methods (mixed-effects models, growth curve analysis, time-series)
• Design measurement approaches that work as the research population moves outside the office/lab — capturing telemetry and survey data from people wearing the research device at home or in the field, potentially via in-app surveys or through the contextual AI chat interface itself
• Evaluate the contextual AI assistant experience specifically: mismatches between what the hardware senses and what the AI attends to, quality of voice/chat interaction, and how well the system understands the person, scene, and activity
• Partner with product managers and engineers to translate ambiguous product questions into measurable research questions
• Communicate findings to non-research audiences in a form that supports decisions, not just description
• Contribute to study protocol documentation and support human subjects research review processes
• Collaborate with qualitative researchers to integrate quantitative and qualitative evidence into a single point of view (light qual skill is a plus; the role is primarily quant)