Research Science PhD Internship Opportunities - Coding Agents
Microsoft · Cambridge, United Kingdom · Research Sciences
About this role
Microsoft is hiring a intern-level Research Scientist in the machine learning function based in Cambridge, United Kingdom. The posting calls out experience with Python, LLMs, NLP, API Development.
- Role
- Research Scientist
- Function
- machine learning
- Level
- intern
- Track
- Individual contributor
- Employment
- Internship
- Location
- Cambridge, United Kingdom
- Department
- Research Sciences
- Posted
- May 19, 2026
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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.
In M365 Research, we are dedicated to pioneering advancements in Artificial Intelligence (AI) and Systems, driving the transfer of innovative technologies into our products, establishing Microsoft’s leadership in technical domains and enhancing community engagement. We closely collaborate with multiple research teams and product groups across the globe who bring a multitude of technical expertise in machine learning, cloud systems and software engineering. We communicate our research both internally and externally through peer-reviewed scientific publications, open-source releases, blog posts, patents, and industry conferences.
For this position, you should have a strong software engineering background with experience in AI/ML for code intelligence. Our research focuses on advancing coding agents that can understand real-world codebases and autonomously execute software engineering tasks end-to-end. Topics of interest include building LLM-based coding agents for repository-scale feature implementation and bug fixing, enhancing agents’ ability to plan and use developer tools effectively (e.g., tests, linters, CI workflows), and improving reliability through iterative feedback from code reviews and test results