Senior Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 17, 2025 | |
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OverviewMicrosoft is a company where innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. We are looking for a Senior Applied Scientist to join our team! This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Agent Tools is the platform to develop tools for AI agents with high reliability and scale. This team also builds a suite of microservices to create/execute/evaluate agent tools. You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality. 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.
ResponsibilitiesCollaborate with AI researchers and audio signal processing experts to design and build end-to-end ML systems, tuned for human-human and human-AI interactions. Design and develop ML pipelines involving data cleaning, feature engineering, model training, and evaluation. Work across the product lifecycle from prototyping to shipping production-grade code optimized for performance and memory and updating the deployed models based on A/B testing. Remain up to date with the latest advancements, trends and research and contribute towards our IP portfolio. Data science - Research and develop synthetic data generation strategies. Proactively follow state of the art research and share latest work, write papers, attend conferences and share knowledge in the wider team. | |