About the job
Are you an engineer who loves pairing strong product instincts with AI, machine learning, and bringing meaningful UX interactions to life with craft and precision? This role works in a people-centric, culture-first environment alongside designers, product partners, engineers, strategists, and writers to design and build modern experiences that make intelligent systems feel clear, trustworthy, and human. We’re a forward-looking team passionate about building innovative technology and shipping delightful experiences—especially where AI changes what products can do. We invest in rapid prototyping, model tuning and evaluation, data experiments, and AI-related explorations to help explore the future of intelligent Microsoft products. Our team brings diverse backgrounds in multiple disciplines, from engineering, design, or research to behavioral sciences or medicine; we come in all shapes and sizes. We love pushing boundaries and helping evolve Microsoft’s products. Our current focus is on Copilot in the M365 Enterprise world.
Responsibilities
Design and run applied science and/or machine learning experiments to explore new ideas and validate hypotheses
Conduct research on state-of-the-art technologies, methodologies, and emerging trends
Translate concepts into working prototypes through code
Provide thoughtful, constructive feedback and propose creative, practical solutions
Communicate insights, decisions, and results clearly and concisely to cross-functional partners
Contribute to publications, technical reports, and knowledge-sharing initiatives
Qualifications
Minimum
Bachelor's Degree in Computer Science, Software Engineering, Graphic Design, Product Design, Visual Design, Human Computer Interaction or related field AND 2+ years experience working in product or service design and/or shipping production code OR equivalent experience.
Preferred
Minimum of 8 years engineering development skills, OR significant industry experience uniquely qualifying you for this role.
Bachelor’s degree in Computer Science, Human-Computer Interaction, Design, Data Science, Machine Learning, or related technical field OR equivalent industry experience uniquely qualifying you for this role.
Mastery of at least one coding language.
GitHub, CodePen, or other links showcasing coding skills OR portfolio is required.
Experience with prompt engineering, model fine-tuning, or domain adaptation techniques for large or small language models.
Experience applying machine learning techniques to UX challenges such as personalization, behavioral modeling, or interaction optimization.
Experience working with foundation models in applied product environments, or with structured or unstructured data to generate UX-relevant insights that translate into actionable product outcomes.
Experience developing user study plans, generating hypotheses, or using state-of-the-art methods to understand human behavior in product environments.
Experience with human-computer interaction, behavioral psychology, and/or trust in intelligent systems.
Experience building or evaluating agentic systems or multimodal AI-driven user experiences.