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Research Intern - Self-Improving Agentic Systems and AI Research Agents

Meta· Research
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Hybrid (London, UK)InternPosted 4d ago

About the role

Internship at Meta focusing on self-improving agentic systems and AI research agents, combining reinforcement learning, LLM post-training, and autonomous experimentation in a research setting.

Responsibilities

  • Assist in the design, implementation, and evaluation of self-improving agentic systems and AI research agents.
  • Contribute to research on reinforcement learning and LLM post-training methods, including reward design, preference optimization, and RL from execution feedback.
  • Collaborate with senior researchers to explore new approaches for autonomous experimentation, code generation, and optimization.
  • Help build and maintain evaluation harnesses and benchmarks for agentic capabilities.
  • Help document findings and prepare research outputs for publication.

Qualifications

  • Currently is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics or relevant technical field
  • Experience with Python, C++, C, Java or other related language
  • Experience with deep learning frameworks such as Pytorch or Tensorflow
  • Experience building systems based on machine learning and/or deep learning methods

Skills

Required:Ph.D. enrollmentPythonC/C++/JavaDeep learning frameworksMachine learning system development
Nice to have:Communication
Last updated Oct 23, 2026. Interested? Apply on the company site.

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