Microsoft Research's AI Interaction and Learning team is focused on advancing research in collaborative AI systems where humans and AI agents work together to achieve superior outcomes. The team aims to move beyond individual assistance to enhance collective intelligence at the group level, addressing the challenges of large-scale, real-world AI systems, particularly in the context of deploying copilots.
Requirements
- Foundation Models
- Reinforcement Learning
- Multi-Objective Optimization
- Natural Language Processing
- Deep Learning
- Interactive Learning
- Artificial Intelligence
Responsibilities
- Develop innovative Artificial Intelligence/Machine Learning (AI/ML) techniques
- Shape and advance the team’s research agenda
- Designing metrics and reward mechanisms to adaptively align to evolving goals
- Developing algorithms for eliciting preferences and making decisions under uncertainty
- Managing information flow across groups and organizations to support shared understanding and effective coordination
- Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups
- Advance a research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data
Other
- PhD in Computer Science or related field (completed or close to completion by the start date).
- PhD in relevant field AND 2+ years related research experience.
- Research ability demonstrated by an established publication record in top-tier venues (NeurIPS, COLM, ICLR)
- Demonstrable ability to develop/shape original research agendas.
- Ability to work collaboratively in a multi-disciplinary team.
