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

Meta; Greater London; Hybrid; GBP 20,000 - 30,000; Part time

Job summary

Meta in London, UK is seeking a motivated research intern to join the Self-Improving Agentic Systems and AI Research Agents team. You will explore reinforcement learning, LLM post-training, and autonomous agents capable of proposing, running, and evaluating experiments.

Responsibilities include designing, implementing, and evaluating self-improving systems; collaborating with senior researchers; helping build evaluation benchmarks; documenting findings for publications.

Qualifications

• Pursuing PhD in machine learning, AI, computer science, information or related field.

Responsibilities

• Assist design, implementation, and evaluation of self-improving agentic systems and AI research agents.
• Contribute to RL and LLM post-training research, including reward design and optimization.
• Collaborate with senior researchers on autonomous experimentation, code generation, and optimization.
• Help build evaluation harnesses and benchmarks for agentic capabilities.
• Document findings and prepare research outputs for publication.

Education

PhD candidate in ML/AI/CS (in progress)

Job description

Research Intern - Self-Improving Agentic Systems and AI Research Agents# Research Intern - Self-Improving Agentic Systems and AI Research AgentsLondon, UK Research+ 1 moreApply nowWe are seeking a highly motivated intern (Contract Worker) to join our research team working on self-improving agentic systems — a cutting-edge area at the intersection of reinforcement learning, LLM post-training, and autonomous AI research agents.We develop agentic systems that improve their own performance over time, combining reinforcement learning and LLM post-training with agents capable of writing, evaluating, and optimizing code. A central goal is building AI research agents that can autonomously propose, run, and analyze experiments, accelerating the pace of AI research itself.---## Research Intern - Self-Improving Agentic Systems and AI Research Agents 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.## Minimum 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