Microsoft Research AI Interaction and Learning team is advancing research on next-gen AI systems where humans and AI agents collaborate to achieve superior outcomes. The goal is to develop AI for complex knowledge work scenarios that can act as a collaborator, teammate, and cognitive partner, moving beyond individual assistance. This involves shifting AI development from optimizing immediate rewards to complex objectives like group-level outcomes, team coordination, and shared understanding of information.
Requirements
- Has at least one year of experience in conducting research, writing peer-reviewed publications and software development.
- Three years of experience in conducting research, writing peer-reviewed publications and software development.
- Actively conducting research in at least one of the following areas: Foundation Models, Reinforcement Learning, Multi-Objective Optimization, Natural Language Processing, Deep Learning, Interactive Learning, Agents, Causal Reasoning, Computational Social Science, Computational Economics, Human-AI Collaboration, or Artificial Intelligence.
Responsibilities
- Advances research on next gen AI systems, where humans and AI agents work together to achieve outcomes that exceed what either could accomplish alone.
- Develop AI for complex knowledge work scenarios that can move beyond individual assistance to become a true collaborator, teammate, and cognitive partner.
- Shifting AI systems development from myopically optimizing immediate rewards to optimizing more complex objectives like group-level outcomes, team coordination, and shared understanding of information.
- Research includes work on adaptive optimization and metrics, coordinated decision-making under uncertainty, preference elicitation and alignment, information flow for collective intelligence, and measurement and analysis of interactions in AI systems.
- Work together with collaborators in research and product teams on fundamental and applied research.
- Conduct research in one or more of the following: Foundation Models, Reinforcement Learning, Multi-Objective Optimization, Natural Language Processing, Deep Learning, Interactive Learning, Agents, Causal Reasoning, Computational Social Science, Human-AI Collaboration, or Artificial Intelligence.
- Contribute to exciting research and development.
Other
- Currently enrolled in a PhD program in CS, EE or a related STEM field.
- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples.
- Ability to think unconventionally to derive creative and innovative solutions.
- Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar (September - April).
