Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

Are you passionate about building the future of reliable, large-scale cloud and AI systems? The Systems Reliability Group at Microsoft Research is looking for motivated Research Interns to tackle cutting-edge challenges at the intersection of distributed systems, AI systems, and software engineering.

 

We tackle some of the toughest challenges in modern computing—designing innovative reliability mechanisms, building scalable debugging tools, and leveraging AI to improve system dependability. We also explore how to ensure the reliability of AI systems themselves, a critical frontier as AI becomes integral to cloud services.

 

As a Research Intern, you’ll have the opportunity to:

Dive into real-world systems: Work with large-scale codebases, configurations, and deployments powering Microsoft Azure and Office 365.Analyze production data: Discover how real cloud systems fail—and design strategies to prevent it.Push the boundaries: Apply cutting-edge LLM and Agentic technology to solve reliability challenges in cloud and AI systems.Innovate in failure diagnosis and prevention: Build novel tools for monitoring, logging, and troubleshooting at scale.Validate your ideas in the wild: Integrate and evaluate your solutions on real Microsoft services and incidents.

 

Why Join Us?

Collaborate with world-class researchers and engineers at Microsoft Research.Partner with Azure and Office 365 product teams to bring your ideas to life.Access thousands of real-world software projects to test and refine your innovations.Publish your work in top-tier systems conferences and make a lasting impact on the industry.

 

If you have a strong systems background, a passion for AI and reliability, and a drive to solve practical challenges at global scale, we’d love to hear from you!