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Senior Researcher - Self-Evolving Agentic Systems

Microsoft· Research Sciences
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BangaloreFull-timePosted 4d ago

About the role

Microsoft Research India seeks a Senior Researcher to advance self-evolving agentic systems. The role involves designing RL algorithms, building evaluation environments, translating research into scalable systems, publishing results, and mentoring junior researchers. Located on-site in Bangalore, India.

Responsibilities

  • Lead research on self-evolving agents, including self-improvement loops, experience-driven learning, self-generated curricula, and automatic refinement of agent policies, tools, and memory.
  • Design and apply reinforcement learning methods for LLM-based agents, including reward modeling, learning from verifiable and AI feedback, and credit assignment over long, multi-step tasks.
  • Build scalable training and evaluation environments for agentic tasks (coding, tool use, web and computer use, knowledge work).
  • Develop rigorous benchmarks and evaluation methods measuring agent capability, robustness, safety, and improvement over time.
  • Form hypotheses, design experiments, and iterate quickly on model and agent performance.
  • Publish at top-tier venues, release open-source artifacts, and help shape the research agenda in agentic AI.
  • Collaborate with research and product teams across Microsoft to move research advances into real-world systems.
  • Mentor interns and early-career researchers and contribute to Microsoft Research India’s academic engagement.
  • Embodies company culture and values.

Qualifications

  • PhD in Computer Science, Machine Learning, Mathematics, or a related technical field, or equivalent experience.
  • 1+ years of software engineering or research experience.
  • Experience with reinforcement learning and LLMs.
  • Strong research track record in machine learning, computer systems, or a closely related area.
  • Demonstrated ability to conduct independent research and communicate results through publications, prototypes, or other impactful outcomes.
  • Ability to work effectively across disciplinary boundaries and collaborate with diverse research and engineering teams.

Skills

Required:Reinforcement learningLLMs (large language models)Experiment designBenchmarking & evaluationCollaboration
Nice to have:Mentoring
Last updated Oct 23, 2026. Interested? Apply on the company site.

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