Microsoft Principal Researcher – Artificial Intelligence Microsoft Research 

Taiwan, Taoyuan City 

359356892

systems, where humans and AI agents work together to achieve outcomes that exceed what either couldtoward joint optimization at the group level, creatingAI systems that enhance collective intelligence.

large-scale, real-world AI systems, including:

• 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.

Required Qualifications:

• PhD in Computer Science or related fieldAND 3+ years related research experience
  • OR equivalent experience.
• Experience in one or more of the following areas: Foundation Models, Reinforcement Learning, Multi-ObjectiveOptimization, Natural Language Processing, Deep Learning, Interactive Learning, Artificial Intelligence.

Preferred Qualifications:

• PhD in relevant field AND4+ 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.
• Proficient oral and written communication skills.
• Passion for AI research.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

As aat Microsoft Research, you will undertakeresearch in collaboration with other researchers, engineers, and product groups. Specifically, you will:

• and articulate problems that are academically novel and may directly/indirectlyimpact

• Research and develop an understanding of thestate-of-the-arttools, 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.

• Develop and deploy computing technologies that uphold trustworthiness, robustness, privacy, values, and ethical considerations.

• Collaborate with other relevant researchers or groups to advance a research agenda.

• Embody our and .