New 
Principal Machine Learning Engineer - Microsoft Teams
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 17, 2025 | |
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OverviewDo you want to work on a product that is useddailyby more than100+millionsof users?A product that is usedby91% ofFortune100companies.Aproduct that is available in 181 marketswith a support for 44 languages.A product which is recognizedas fastest growing app in the history of Microsoft.We're working on Microsoft Teams - modern collaboration and productivity hub for the workspace (https://products.office.com/en-us/microsoft-teams).Microsoft Teams brings togetherreal time audio/video conferencing solutions,chat and Office 365 workloads such as Exchange, SharePoint, OneDrive and OneNote and integrates them in one productcreating smooth user experience.Microsoft Teams is built using cutting edge technology leveraging best from Microsoft Research, open source and Azure cloud. Using short developmentcycles,we ship incremental updates to our customers, collect feedback and metrics and through that iteratively improve the product. Team is distributed across US, Europe and India which gives usaunique operational support.With world classtooling such as Microsoft DevOps and using our own product - Microsoft Teams - we're driving truly global business. We are looking fora Principal Machine Learning Engineer to own the machine learning lifecycle for Microsoft Teams across desktop, web, and mobile clients. 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.
ResponsibilitiesOwn the full machine learning (ML) lifecycle - Design, build, deploy, and monitor end-to-end for Microsoft Teams across desktop, web, and mobile clients.Build production-ready artificial intelligence (AI) agents that automate workflows and surface smart, context-aware recommendations to boost user productivity.Work with massive, complex datasets by applying advanced statistical and machine-learning methods to solve ambiguous, high-impact problems.Drive exploration of hybrid AI experiences (cloud + edge + large language models (LLM)) for responsiveness, privacy, and enterprise value.Leverage generative-AI techniques for data augmentation, relevance tuning, and highly personalized discovery experiences.Validate product intuition with experimentation - translate insights into roadmap influence and data-driven decisions that move key metrics.Communicate with clarity - distill intricate technical work for diverse audiences across engineering, product, and executive leadership. | |