Microsoft Research is looking to advance research on collaborative AI systems where humans and AI agents work together to achieve outcomes exceeding individual capabilities. The goal is to move beyond individual assistance towards joint optimization at the group level, creating collaborative AI systems that enhance collective intelligence, and addressing challenges of large-scale, real-world AI systems.
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.
