Redmond, Washington, United States
19 hours ago
Research Intern - Cloud Efficiency & Reliability

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.

In the Systems Innovation research group, we are leveraging our deep workload understanding and combining algorithmic research with Artificial Intelligence (AI)/Machine Learning (ML) techniques and hardware innovation to provide a step function improvement in cloud efficiency, reliability and sustainability. We closely collaborate with multiple research teams and product groups across the globe who bring a multitude of technical expertise in cloud systems, machine learning and software engineering. We disseminate our research both internally and externally through peer-reviewed scientific publications, open-source releases, blog posts, patents, and industry conferences.

 

For this position, you will have a background in Systems research and the motivation and ambition to apply this to production systems. Some of the research problems we are currently working on are: optimizing inferencing of Generative Artificial Intelligence (GenAI)/Large Language Models (LLMs), workload-aware placement of compute resources, holistic characterization and modelling of workloads, fault injection for improving workload reliability and mining dependency graphs for web-scale systems. 

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