Microsoft Research Intern - Machine Learning Optimization Redmond 

United States, Washington 

872693395

The Machine Learning and Optimization (MLO) group in MSR-Redmond performs research in the intersection of optimization, machine learning and systems. Example efforts include algorithms for cloud supply chain management and combining large language model (LLM) technology with optimization for efficient decision making. Our research leverages theoretical insights for designing algorithms and ML-based solutions that run efficiently at scale.

• Currently enrolled in a PhD program in Computer Science, Operations Research or a related STEM field.
• At least 3 years of experience in C# or C++ or Python (or similar language).

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 in optimization/algorithm design.
• Working knowledge of machine learning, including LLMs.
• Some background in computer systems.
• Demonstrated ability to run simulations and analyze results.

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

Research Interns are expected to design algorithms and prototype them, conduct experiments, and analyze results. They are encouraged to show initiative throughout the internship and suggest further directions for research. They are expected to document their ideas, and given suitable results, contribute to a paper.