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Research Intern - AI Frontiers - Reasoning & Agentic Models

United States, Redmond 6710.00 - 13270.00 USD / Month · Job Posted April 23, 2026
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Job Description

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. The AI Frontier Lab at Microsoft Research is seeking candidates to advance the state of the art in agentic model capabilities -- creating models and agents that can reliably perform tasks across digital systems on behalf of humans, combining automation, reasoning, and interaction capabilities to execute workflows end-to-end, leveraging both text-based environments (CLI tools, APIs, scripts, MCPs) and visual environments (GUI applications). Our lab conducts cutting-edge research in AI and publishes findings in top-tier venue such as NeurIPS, ICLR, ICML, and others. We release models and libraries in the open-source (e.g. Phi-4, Phi-4-reaoning, AgentInstruct, AutoGen, MagenticOne) while also working within Microsoft's ecosystem to ship our AI technologies in multiple products. We seek Research Interns with demonstrated ability for technical work and a proven record of influential publications on Artificial Intelligence.

Job Responsibility

  • Research Interns put inquiry and theory into practice
  • During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers
  • Present findings
  • Contribute to the vibrant life of the community

Requirements

  • Accepted or currently enrolled in a PhD program in Computer Science or related STEM field
  • At least 1 year of experience with deep learning and large language model training

Nice to have

  • Proven expertise in language model pre-training, post-training, or reinforcement learning
  • Proven publication record in top-tier conferences
  • Demonstrated ability to develop original research and perform hands-on research in a collaborative and dynamic environment

What we offer

Certain roles may be eligible for benefits and other compensation

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