Drimva

Microsoft

Research Intern - Efficient AI Software Systems

Redmond, WA · On-site · Internship · Posted Oct 15, 2026

Experience
Preferred: 1+ year(s) of classroom or work-related experience in one or more listed areas; no required years stated.
Education
Currently enrolled in a Doctorate Degree program in Computer Science, STEM, or a relevant field.

About the job

Conduct research on efficient and agentic AI systems, collaborate with researchers, present findings, and contribute to research and development during a 12-week internship.

What you'll do

  • Collaborate with mentors, fellow interns, and researchers on research and development.
  • Present research findings and contribute to the research community.
  • Research methods for improving AI system efficiency, including balancing quality, speed, and cost.

What they ask for

  • Currently enrolled in a Doctorate Degree program in Computer Science, STEM, or a relevant field.
  • 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 have

  • 1+ year(s) of classroom or work-related experience in a listed AI or machine learning area; completed coursework in probability and statistics, machine learning, or optimization.
  • Research experience in machine learning efficiency, LLM applications or agents, system evaluation, collaboration, or communicating research findings.

Pay

USD $6,810 - $13,480 per month (base salary); USD $8,920 - $14,610 per month (base salary, San Francisco Bay area and New York City metropolitan area)

Tools

machine learning, deep learning, natural language processing, large language models, AI agents

AI focus

Research efficient and agentic AI, including improving the quality, speed, and cost of intelligent systems and evaluating machine learning models and systems.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 5, 2026 (UTC)