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

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 #J-18808-Ljbffr