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Senior Researcher - AI Agents

United States, Redmond 119800.00 - 234700.00 USD / Year · Job Posted April 16, 2026
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Job Description

Microsoft Research (MSR) AI Frontiers is inviting applications for a Senior Researcher to join our team. At MSR AI Frontiers, we pursue ambitious research to advance AI in areas such as modeling, algorithms, agents, and agentic systems. We foster a vibrant environment for multidisciplinary work with an open publication policy, close ties to leading academic institutions, and a commitment to impact beyond research. We regularly release open-source models, libraries, and tools to accelerate community progress, while also working within Microsoft’s ecosystem to ship AI technologies across multiple products, ensuring our innovations create real-world value for people. We are seeking exceptional candidates to advance the state-of-the-art in agentic systems and ecosystems. Relevant projects from our lab include agentic systems (e.g., Magentic-UI, Magentic-One), ecosystems (e.g., Magentic Marketplace), frameworks (e.g., AutoGen), models (e.g., Phi, Orca) and tools (e.g., AgentInstruct, AutoGen Studio). Focus areas for this position include, but are not limited to, the following: Agentic Systems. Building state-of-the-art agentic systems, applications, and environments. Agent Ecosystems. Building agent-native ecosystems (e.g., frontier firms, agentic markets) where agents can effectively collaborate alongside people and other agents. Advanced Agentic Capabilities. Post-training models for advanced agentic capabilities, including reinforcement learning, fine-tuning, self-play, and synthetic data generation. Human-Agent Interaction. Creating novel human-agent interaction techniques and experiences. Evaluation & Tooling. Developing evaluation benchmarks, methods, and tooling for agentic capabilities. Responsible AI. Ensuring agents operate safely and responsibly while delivering real value to people.

Job Responsibility

  • Outcome Driven Innovation
  • Collaborative Innovation
  • Problem Solving
  • Decision Making
  • Scientific Method

Requirements

  • Doctorate (or currently pursuing) in Computer Science or related fields OR equivalent experience
  • Publication record as a lead author or essential contributor at top venues such as: CHI, NeurIPS, UIST, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, ICAPS
  • Doctorate in Computer Science or relevant field AND 2 years related research experience OR equivalent experience
  • Hands-on experience working with large foundation models (e.g., OpenAI GPT models, LLAMA etc) and state-of-the-art AI/ML frameworks and toolkits (e.g., Pytorch, Tensorflow, Langchain, AutoGen)
  • Demonstrated software engineering experience building and deploying prototypes, applications, or open-source technologies
  • Hands-on experience evaluating AI models or systems (e.g., running benchmark experiments or user studies, analyzing data)
  • Experience working in multi-disciplinary teams along with a team player mindset, characterized by effective communication, collaboration, and feedback skills

Nice to have

Reference letters are welcomed, though they are not mandatory. Please include them if available

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