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Microsoft Research Intern - Reliability Cloud AI Systems 
Taiwan, Taoyuan City 
713377342

09.10.2025

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.
Required Qualifications
  • Currently enrolled in a PhD program in Computer Science or a related STEM field.

Other Requirements

  • Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
  • In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.
Preferred Qualifications
  • Experience of building scalable and reliable systems.
  • Demonstrated ability to develop original research agenda.
  • Ability to collaborate effectively with other researchers and product development teams.
  • Proficient interpersonal skills, cross-group, and cross-culture collaboration.
  • Ability to think unconventionally to derive creative and innovative solutions.