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The Microsoft Research AI Frontiers Lab is on a mission to push the boundaries of what's possible in AI — advancing capabilities, efficiency, and safety through breakthroughs in agentic model and systems. Our previous work spanned Small Language Models (Phi, Orca), Synthetic Data Generation (AgentInstruct), Computer Use Models (Fara), and agentic AI systems (AutoGen, MagenticOne, OmniParser), with real-world impact at scale. We're looking for Senior and Principal Researchers to join us in Redmond, WA or New York City, NY and help shape the future of agentic AI. In this role, you'll develop and implement cutting-edge training methodologies for large language and multimodal models with advanced agentic and reasoning capabilities. Your work contribute to cutting edge research and directly influence state-of-the-art systems used by millions of people worldwide.
Job Responsibility
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
Curate high-quality datasets and develop novel training algorithms tailored to agentic and reasoning tasks
Design rigorous evaluation frameworks to benchmark model capabilities across reasoning, long-horizon tasks, and multi-agent scenarios
Prototype and iterate on new agentic capabilities — from computer use and action models to memory and multi-agent orchestration
Drive research from idea to publication, with opportunities to publish at top-tier venues and contribute to the broader scientific community
Requirements
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
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