Research Intern, Efficient AI Software Systems

What you'll do

• Put inquiry and theory into practice to advance research and development strides.
• Collaborate with mentors and researchers to solve complex technical challenges.
• Present research findings to the research community.
• Contribute to the development of efficient and agentic AI systems.
• Balance quality, speed, and cost in intelligent system designs.
• Conduct rigorous empirical evaluations of machine learning models and systems.
• Design benchmarks and experiments to evaluate machine learning system performance.
• Analyze quantitative results to compare alternative methods and prototypes.

What we're looking for

• Currently enrolled in a Doctorate Degree program in Computer Science, STEM, or a relevant field.
• Must be physically located in the manager’s Microsoft worksite location for the duration of the internship.
• Submit a minimum of two reference letters, a cover letter, and relevant work or research samples.
• 1+ year(s) of experience in machine learning, deep learning, NLP, LLMs, AI agents, or ML systems (preferred).
• 1+ completed courses in probability and statistics, machine learning, or optimization (preferred).
• Experience conducting research on the efficiency, cost, or performance of machine learning models or systems (preferred).
• Experience building or evaluating applications or agents that use large language models (preferred).
• Experience designing benchmarks, comparing alternative methods, or collaborating with research/engineering teams (preferred).