New
Applied Scientist II
![]() | |
![]() | |
![]() United States, Washington, Redmond | |
![]() | |
OverviewThe Time and Places team at Microsoft is at the forefront of redefining how people organize, schedule, and collaborate through intelligent calendar and meeting experiences. We build AI-powered solutions that enhance productivity-from personalized briefings and intelligent time suggestions to enhance time management experience. Our work spans deep data science, large language model (LLM) integration, and telemetry-driven insights to deliver seamless, context-aware user experiences across Microsoft 365. We partner closely with product, engineering, and research teams to drive innovation that scale globally and impacts millions of users daily.Microsoft Copilot is revolutionizing how people work and has created an unprecedented opportunity to advance the state-of-the-art in a way that benefits millions of people. As an Applied Scientist II, your core mission will be to deliver exciting innovation in Microsoft Copilot. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. The successful applicant(s) will collaborate closely with people across Microsoft's product teams and Microsoft Research to see their ideas realized in products and services that are used worldwide, as well as to contribute back to the scientific community and beyond (e.g. via presentations, publications, media interviews, and similar). This position is a hybrid role, with 50% work on-site at the Redmond campus and 50% work from home. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesLead applied research projects that advance the state-of-the-art in GenAI and directly impact Microsoft's core productivity products.Collaborate closely with product, engineering, and design teams to translate research breakthroughs into practical, high-value applications.Serve as a bridge between research and product, effectively communicating complex concepts and project progress to ensure stakeholder alignment.Mentor colleagues and champion research best practices, sharing your expertise in state-of-the-art machine learning techniques.Work iteratively in a research environment, developing new hypotheses and demonstrating the ability to learn from unexpected or ambiguous outcomes.Share research findings through publications, presentations, and internal forums to influence both the scientific community and internal product strategy.Effectively communicate with product leaders (and often MSR researchers) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts. |