Researcher - Multiple Levels, Microsoft Research AI Frontiers

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

Research role focused on pushing the boundaries of agentic AI, large language, and multimodal models. The role involves developing cutting-edge training methodologies, curating datasets, designing evaluation frameworks, and prototyping new agentic capabilities. Emphasis on research, publication, and potential for 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 Computer Science or relevant field OR Master's Degree in Computer Science or relevant field AND 3+ years related research experience OR Bachelor's Degree in Computer Science or relevant field AND 4+ years related research experience OR equivalent experience.

Nice to have

  • Doctorate of Computer Science or relevant field AND 2+ 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

  • push the boundaries of what's possible in AI
  • agentic model and systems
  • agentic AI
  • large language and multimodal models
  • advanced agentic and reasoning capabilities
  • reasoning and inference-time compute
  • Action models for automating computer use tasks
  • Memory and long-horizon task execution
  • Multi-agent training and orchestration
  • open publication
  • publish at top-tier venues

Other signals

  • agentic AI
  • large language models
  • multimodal models
  • reasoning capabilities
  • open publication