Research Intern - Machine Learning and Optimization - Redmond

Microsoft•Redmond, WA

5d•Onsite

About The Position

The Machine Learning and Optimization (MLO) group at Microsoft Research in Redmond researches the intersection of optimization, machine learning, and systems, with a focus on combining machine learning technology and optimization for efficient decision-making. Example projects include training large language models for algorithm design, accelerating optimization algorithms for interactive decision dialogues, and developing novel algorithms for end-to-end supply chain management. The group also uses theoretical insights to design algorithms and machine learning solutions that operate efficiently at scale. During the 12-week internship, interns are paired with mentors and collaborate with other interns and researchers. They present findings and contribute to the research community. Interns design algorithms and models and prototype them, conduct experiments, analyze results, document ideas, and may contribute to a paper when results are suitable. They are encouraged to show initiative and suggest further research directions. Interns must be physically located at their manager’s Microsoft worksite for the duration of the internship.

Requirements

Currently enrolled in a Doctorate Degree program in Computer Science, Operations Research, or a related STEM field.
Must be physically located at the manager’s Microsoft worksite for the duration of the internship.
Submit at least two reference letters, a cover letter, and relevant work or research samples.

Nice To Haves

3+ years of experience in C#, C++, Python, or a similar language.
Experience in optimization or algorithm design.
Experience in machine learning and large language models, such as data curation, post-training, or agentic frameworks.
Demonstrated ability to run simulations and analyze results.