Senior Principal Researcher - Microsoft Research AI Frontiers

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Research Sciences

Senior Principal Researcher at Microsoft Research AI Frontiers focused on pushing the boundaries of agentic AI, including large language and multimodal models, reasoning, and multi-agent systems. The role involves leading research, developing training methodologies, curating datasets, designing evaluation frameworks, and prototyping new agentic capabilities, with opportunities for publication and real-world impact.

What you'd actually do

  1. Lead and conduct cutting-edge research in agentic AI, translating insights into practical solutions that ship to millions of users — in close collaboration with researchers, engineers, and product teams.
  2. Curate high-quality datasets and develop novel training algorithms tailored to agentic and reasoning tasks.
  3. Design rigorous evaluation frameworks to benchmark model capabilities across reasoning, long-horizon tasks, and multi-agent scenarios.
  4. Prototype and iterate on new agentic capabilities — from computer use and action models to memory and multi-agent orchestration.
  5. Drive research from idea to publication, with opportunities to publish at top-tier venues and contribute to the broader scientific community.

Skills

Required

  • Doctorate in relevant field AND 6+ years related research experience OR Master's Degree in relevant field AND 7+ years related research experience OR Bachelor's Degree in relevant field AND 9+ years related research experience OR equivalent experience.

Nice to have

  • Doctorate of Computer Science or relevant field AND 8+ years related research experience OR equivalent experience.
  • Research program demonstrated by public artifacts like models, tools, code in AI space or publications at the following conferences: NeurIPS, ICML, ICLR, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP.
  • Experience with building and evaluating frontier models.
  • Experience publishing academic papers as a lead author or essential contributor in the field of Artificial Intelligence.
  • Experience participating in a top conference in relevant research domain.
  • Demonstrable ability to define an ambitious, original research agenda.
  • Ability to collaborate, communicate effectively, and technically lead multi-disciplinary team.
  • Keen interest in real-world applications and impact.

What the JD emphasized

  • cutting-edge training methodologies
  • agentic and reasoning capabilities
  • agentic AI
  • reasoning and inference-time compute
  • action models
  • memory and long-horizon task execution
  • multi-agent training and orchestration
  • agentic capabilities
  • computer use and action models
  • memory and multi-agent orchestration
  • publication
  • top-tier venues

Other signals

  • agentic AI systems
  • large language and multimodal models
  • cutting-edge research
  • open publication