Research Intern - Self-Improving AI
Microsoft · Cambridge, MA · Applied Sciences
About this role
Microsoft is hiring a intern-level Research Scientist in the machine learning function based in Cambridge, MA. The posting calls out experience with PyTorch, Hugging Face, Deep Learning, Reinforcement Learning.
- Role
- Research Scientist
- Function
- machine learning
- Level
- intern
- Track
- Individual contributor
- Employment
- Internship
- Location
- Cambridge, MA
- Department
- Applied Sciences
- Posted
- May 18, 2026
More roles at Microsoft
Job description
from Microsoft careersResearch Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.
The Machine Learning/Artificial Intelligence (ML/AI) group at Microsoft Research NYC is looking for a Research Intern candidate with a background in language modeling and reinforcement learning, for a project on self-improving AI systems.
Responsibilities
Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.
Qualifications
Required Qualifications
- Enrolled in PhD or master's program in machine learning, computer science, or related discipline.
- At least 1 year of experience with deep learning, language modeling, and/or reinforcement learning.