Principal Machine Learning Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Aug 14, 2025 | |
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OverviewThe future of work is being redefined with AI agents acting as digital co-workers. Microsoft is leading this transformation with M365, Copilot Studio, and Azure AI Foundry. We are looking for a Principal Machine Learning Engineer to join our team. The Microsoft Copilot Studio Applied Science and Research organization is seeking a Principal Machine Learning Engineer to contribute to the development and integration of cutting-edge AI technologies into Microsoft Copilot Studio, ensuring they are inclusive, ethical, and impactful. You will collaborate across product, design, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and software engineering to solve complex problems. Your work will directly influence product quality and customer experiences. This role will combine machine learning and AI knowledge with software engineering expertise, while demonstrating a growth mindset and customer empathy. Join us in shaping the future of AI agents. You will play a crucial role in developing the Copilot Studio Applied Science and Research team's direction in machine learning, Generative AI model fine-tuning, Agent creation and deployment, AI evaluation and scaling. 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 architecture, design, and implementation of scalable, reliable, and secure services in the Copilot Studio Runtime.Develop and implement technical strategy to maximize SLA for users interacting with agentsCollaborate with cross-functional teams to define and deliver end-to-end scenarios that span Azure, M365, and Power Platform ecosystems.Partner with PMs and leadership to align engineering investments with product vision and customer needs.Champion engineering best practices, including CI/CD, observability, and operational excellence.Partner with Data Science and AI experts to transform what it means to build AI-first SaaS. | |