Research Intern - Efficient AI Software Systems
About The Position
Microsoft Research Internships provide a dynamic environment for research careers, connecting interns with world-class research labs and scientists working across scientific and technical disciplines. This internship focuses on efficient AI software systems. Research in this area explores how AI systems that reason, plan, and act can use compute efficiently, select appropriate capabilities for tasks, and adapt to the people and environments they serve. Microsoft researchers combine machine learning, systems research, and empirical evaluation to study how intelligent systems balance quality, speed, and cost and improve with experience. Research, tools, and services are integrated into products and made accessible to the broader community. 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. Research internships are available year-round and typically begin in the summer. Interns are expected to 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, STEM, or a relevant 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
- At least 1 year of classroom or work-related experience in machine learning, deep learning, natural language processing, large language models, AI agents, or machine learning systems.
- At least one completed course in probability and statistics, machine learning, or optimization.
- Research experience in the efficiency, cost, or performance of machine learning models or systems, such as inference optimization, model selection, model compression, or adaptive computation.
- Experience building or evaluating applications or agents that use large language models.
- Experience designing benchmarks or experiments to evaluate machine learning systems and analyzing quantitative results.
- Experience comparing alternative methods, prototypes, or analytical approaches to address a research or applied problem.
- Experience collaborating with researchers or engineering teams on a research or applied project.
- Prior research experience demonstrated through publications, preprints, or open-source research projects.
- Experience communicating research findings through a presentation, poster, report, or publication.
Responsibilities
- Collaborate with mentors, other Research Interns, and researchers during the 12-week internship.
- Conduct research and contribute to research and development work.
- Present research findings.
- Contribute to the research community.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
