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Principal Applied Scientist

Microsoft
United States, Washington, Redmond
Oct 11, 2025
OverviewWe are looking for a Principal Data Scientist to join the Power Apps Interface team - the team building the agentic platform at the heart of Microsoft's next-generation business applications. The future of software isn't just low-code - it's AI-first. It understands user intent and leverages generative code, autonomous agents, and intelligent UI. Power Apps is leading this transformation by reimagining app development as a workspace for human-agent collaboration where users co-create with copilots, delegate tasks to agents, and operate in a system of AI-infused experiences. Our mission is to empower everyone - from professional developers to domain experts - with the ability to craft powerful business solutions through conversational design, generative UX, and a team of powerful agents. From adaptive controls to end-to-end agent workflows, our team builds the platform capabilities that enable seamless interaction between humans and AI within business-critical environments. If you're passionate about redefining how people build software and want to shape the future of agent-based platforms and generative application development, this is the team for you. Join us and help build the intelligent core powering the next wave of enterprise innovation.
ResponsibilitiesThe team is composed of highly motivated, innovative, and customer-centric applied scientists and engineers who work closely with Product Managers and Designers. We operate in an agile, startup-like environment where every team member is encouraged to think creatively, take initiative, and collaborate to drive the team's mission forward. Joining this team offers exciting opportunities to work on groundbreaking technologies and novel user experiences across multiple platforms, helping to shape the next generation of application development.Conduct applied research to develop innovative AI and machine learning models that address real-world challenges.Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.Create and adapt novel training and fine-tuning algorithms for language models.Bring research projects to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems.Collaborate with engineering teams to productionize models, build scalable, robust pipelines and provide support for in production AI ModelsDrive innovation by staying current with the latest research, technologies, and best practices in AI/ML, and bring these into the organizationProvide technical leadership and mentorship to junior scientists and engineers.Contribute to the strategic direction of applied science within the organization, influencing roadmaps and long-term vision.Embody ourcultureandvalues.As a team, we are very customer focused and driven by curiosity, creativity, team work, agility, accountability and desire to learn everyday. If you are an applied scientist with a proven track record of delivering products, eager to solve novel problems with AI and are motivated by our mission, please contact us.
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