Research 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 AI Interaction and Learning (AIIL) group in Microsoft Research focuses on building and analyzing symbiotic artificial intelligence (AI) systems, where knowledge workers and AI agents collaborate to produce outputs of ever-increasing value. To achieve this, our current projects topics include:

Semantic Telemetry and User Modeling: Assessing how people use copilot systems at scale and measuring value to the user. This includes work on measurement, evaluation, and synthetic data generation.Interactive Machine Learning and Continual Learning: Utilizing interaction traces to extract signals (eg. preferences, feedback) and improve the performance of the AI systems. This includes work on personalization, recommendations, prompt optimization, fine-tuning, and alignment.

We work together with our collaborators in research and product teams on fundamental and applied research. We are particularly interested in candidates with a demonstrated desire to advance the state-of-the-art through research and experience in one or more of the following: Foundation Models, Dialog Systems, Agents, Reinforcement Learning, Natural Language Processing, Interactive Learning, Behavioral Modeling, Artificial Intelligence, Machine Learning, Search/Recommendation, Computational Social Science, Computation Economics, or Human-AI Collaboration. Candidates are encouraged to browse some of our recent publications for examples of active areas of research in the group.