New 
Senior Machine Learning Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 24, 2025 | |
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OverviewMicrosoft is a company where passionate 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 Machine Learning Engineer to join our team!This is an exciting time to join our group and work on something highly strategic to Microsoft. This team built the platform to train, evaluation, and deploy new models in Microsoft Copilot Studio. This team builds a suite of microservices to get near real-time insights over your data in Microsoft Copilot Studio. 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 Applied Researchers to develop hypotheses, acquire data, and train models for strategically important features in Copilot Studio.Co-own the training and evaluation pipeline. Your role requires listening to Applied Researchers, identifying pain points or agility problems, and owning the E2E improvements to our process.Develop and manage training data sets using human vendors, synthetic data generation, and customer-donated data.Set and enforce the software quality bar for both human and AI-generated features.Embody ourcultureandvalues | |