Senior UX Researcher

Lead end-to-end research on AI experiences in Windows, from framing the right questions early to guiding decisions through iterative development and post-launch learning. Work directly with engineers and applied scientists building local models, translating between user needs and technical choices about model behavior, training data, and system design. Look beyond the current roadmap to anticipate where AI will change the product next, bringing insight that shapes decisions before they land as feature work. Set the methodological bar for how the team studies non-deterministic AI systems, combining qualitative insight with behavioral, telemetry, and model evaluation signals in close collaboration with data science and engineering. Develop a point of view on what good looks like for AI experiences, holding model behavior and user behavior in the same frame. Build credibility and trust with product, design, engineering, and science leaders that lets your research change decisions, not just inform them. Raise the craft bar of the researchers around you through mentorship, peer review, and shared standards for AI research. Doctorate in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 1+ year(s) User Experience Research experience. OR Master's Degree in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 3+ years User Experience Research experience. OR Bachelor's Degree in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 4+ years User Experience Research experience. OR equivalent experience. Master's Degree in Human-Computer Interaction, Computer Science, Cognitive Science, Information Science, or related field. Technical understanding of how modern AI models and pipelines work, built through hands-on work with models, evaluation systems, or applied research on model behavior and limitations. Experience partnering directly with engineers or applied scientists on AI or ML products. Direct experience with model fine-tuning, evaluation frameworks, or trust and safety research.