Microsoft is seeking Research Interns to advance the state-of-the-art in agentic systems and ecosystems, and to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.
Requirements
- Hands-on experience working with large frontier and open source models (e.g., from major providers like OpenAI, Anthropic, Google, Microsoft, Alibaba)
- State-of-the-art AI and Machine Learning (ML) frameworks and toolkits (e.g., Pytorch, Tensorflow, Langchain, AutoGen, Microsoft Agent Framework)
- Demonstrated software engineering experience building and deploying prototypes, applications, or open-source technologies
- Hands-on experience evaluating AI models or systems (e.g., running benchmark experiments or user studies, analyzing data)
- Experience working in multi-disciplinary teams
- Publication record as a lead author or essential contributor at top venues such as: NeurIPS, ICLR, ICML, UIST, CHI, ACL, EMNLP, AAAI, ICAPS
- PhD program in Computer Science or related STEM field
Responsibilities
- Building state-of-the-art agentic systems, applications, and environments
- Building agent-native ecosystems (e.g., frontier firms, agentic markets) where agents can effectively collaborate alongside people and other agents
- Post-training models for advanced agentic capabilities, including reinforcement learning, fine-tuning, self-play, and synthetic data generation
- Creating novel human-agent interaction techniques and experiences
- Developing evaluation benchmarks, methods, and tooling for agentic capabilities
- Ensuring agents operate safely and responsibly while delivering real value to people
- Collaborating with other Research Interns and researchers, presenting findings, and contributing to the vibrant life of the community
Other
- Accepted or currently enrolled in a PhD program in Computer Science or related STEM field
- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship
- Submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples
- Team player mindset, characterized by effective communication, collaboration, and feedback skills
- Ability to work in a dynamic environment with a network of world-class research labs
