FULL_TIME

Principal AI/ML Engineer

12/14/2025

The role involves creating and validating metrics, developing ML pipelines, and deploying conversational models at scale. Collaboration with various teams is essential to drive AI innovation in Microsoft products.

Salary

139900 - 274800 USD

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

About The Company

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

About the Role

Overview

We are seeking an Machine Learning Systems Engineer for the Microsoft Teams Calling, Meeting & Devices group. This person will collaborate with a multi-functional group to deliver next generation innovations and experiences leveraging, fine tuning and prompt engineering foundation models. Partner with product and engineering teams to invent and deliver on the future for Microsoft CoPilot and other Generative AI products. If you are adept at algrorithms, orchestration, and general Systems Design in Software, and built Industry wide products in the ML Engineering space and passionate about fast paced development, this role is for you.

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

Create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
Develop and deploy conversational and language understanding models at scale. Understand Perf, Latency, Qualitative aspects at Production Scale
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
Embody our culture and values

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.

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.
Experience in ML tools like Pytorch and TensorFlow.
Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs.
System development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems.
Experience with Generative AI, Orchestration and ML Systems design, as well as handling large scale LLM infrastructure.

#MachineLearning #SystemsDesign #LLM #Applied Sciences

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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Key Skills

Machine LearningSystems DesignLarge Language ModelsNatural Language ProcessingInformation RetrievalResponsible AIPrivacy Preserving Machine LearningConversational ModelsLanguage UnderstandingPytorchTensorFlowPrompt EngineeringOpen AIAzure Open AIGenerative AIOrchestration