Microsoft Research Intern - Cloud Efficiency & Reliability 

United States, Washington 

292169874

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.

• Currently enrolled or accepted in a PhD program in Computer Science, Software Engineering, Electrical Engineering, or a related STEM field.
• At least 1 year of experience in conducting research and authoring peer-reviewed publications.

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.

• Experience with distributed systems, cloud infrastructure and software development.
• Proficient written and verbal communication skills.
• Able to work in a cross-functional and multi-disciplinary setting across research and product.
• Published in one of the following venues: OSDI, SOSP, ASPLOS, NSDI, EuroSys, ATC, SoCC, MLSys, ICSE, FSE, WebConf, etc.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: