AI Research Engineer

AI Research Engineer (Accepting only PhD candidates)

London, UK

We are seeking a highly motivated 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.

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.
• Contributes 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

• Has completed a Ph.D. degree or is currently pursuing a PhD 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 languages
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Experience building systems based on machine learning and/or deep learning methods

Preferred Qualifications

• Eagerness to learn about advanced AI concepts such as reinforcement learning, LLM post-training, agentic scaffolding, and self-improvement
• Excellent problem-solving and communication skills