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Do you want to work on a product that is used daily by more than 100+ millions of users? A product that is used by 91% of Fortune 100 companies. A product that is available in 181 markets with a support for 44 languages. A product which is recognized as 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 together real time audio/video conferencing solutions, chat and Office 365 workloads such as Exchange, SharePoint, OneDrive and OneNote and integrates them in one product creating smooth user experience.

Microsoft Teams is built using cutting edge technology leveraging best from Microsoft Research, open source and Azure cloud. Using short development cycles, 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 us a unique operational support. With world class tooling such as Microsoft DevOps and using our own product – Microsoft Teams - we’re driving truly global business.  We are looking for a **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.

Responsibilities

+ Own 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.

Qualifications

Required Qualifications:

+ Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

+ OR equivalent experience.

+ 4+ years experience in developing AI models and relevant ML libraries.

+ 3+ years experience with building ML infra and deploying ML models for scaled production services.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

+ **Microsoft Cloud Background Check** : This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

+ Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

+ OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

+ OR equivalent experience.

+ 3+ years experience in shipping applied research to production, with a track record of combining coding skills with advanced experience in AI model development.

+ Familiarity with large language model (LLM) and small language model (SLM).

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay (https://careers.microsoft.com/v2/global/en/us-corporate-pay.html)

Microsoft will accept applications for the role until November 16,2025.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .