Principal Machine Learning Engineer - Microsoft Teams

Microsoft • Redmond, WA

70d • $139,900 - $274,800

About The Position

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. 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.

Requirements

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements.

Nice To Haves

• 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).

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.

Benefits

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree