New 
Senior Researcher - Artificial Intelligence - Microsoft Research
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 15, 2025 | |
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OverviewThe AI Interaction and Learning team in Microsoft Research advances research on collaborative AI systems, where humans and AI agents work together to achieve outcomes that exceed what either could accomplish alone. We work closely with product teams deploying copilots, ensuring that our research both addresses the challenges of large-scale, real-world AI systems. Our mission is to move beyond individual assistance toward joint optimization at the group level, creating collaborative AI systems that enhance collective intelligence. We are looking for a Senior Researcher with a passion for pushing the boundaries of learning and reasoning with foundation models, and with a proven ability to conduct impactful independent research. In this role, you will develop innovative Artificial Intelligence/Machine Learning (AI/ML) techniques, shape and advance the team's research agenda, and collaborate widely across the organization. We are particularly interested in candidates who are passionate about the challenges of developing large-scale, real-world AI systems, including: Designing metrics and reward mechanisms to adaptively align to evolving goals. Developing algorithms for eliciting preferences and making decisions under uncertainty. Managing information flow across groups and organizations to support shared understanding and effective coordination.
ResponsibilitiesAs a Senior Researcher at Microsoft Research, you will undertake cutting-edge research in collaboration with other researchers, engineers, and product groups. Specifically, you will: Identify and articulate problems that are academically novel and may directly/indirectly impact business opportunities. Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups. Advance a research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data. Develop and deploy computing technologies that uphold trustworthiness, robustness, privacy, values, and ethical considerations. Collaborate with other relevant researchers or groups to advance a research agenda. | |