π Local Job Near You
Research Intern - Gray Systems Lab (GSL)
Microsoft Corporation
π
Redmond, United States
Location
Redmond
Posted
June 14, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
**Overview**
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.
**Gray Systems Lab (** GSL (https://azuredata.microsoft.com/) **)** is an applied research lab under Azure Data. We do research and development for databases, big-data, and cloud systems, working in close collaboration with product teams to design innovative solutions for real-world problems. We focus on a variety of exciting areas, including machine learning for systems, reinforcement learning finetuning and post-training techniques, natural language-to-query, agentic workflows, resource management, query optimization and execution. We also work on workload optimization, graph analytics,...
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.
**Gray Systems Lab (** GSL (https://azuredata.microsoft.com/) **)** is an applied research lab under Azure Data. We do research and development for databases, big-data, and cloud systems, working in close collaboration with product teams to design innovative solutions for real-world problems. We focus on a variety of exciting areas, including machine learning for systems, reinforcement learning finetuning and post-training techniques, natural language-to-query, agentic workflows, resource management, query optimization and execution. We also work on workload optimization, graph analytics,...