Research Intern - Multi-Agent Systems

This internship is based in Cambridge, United Kingdom.

Responsibilities:

• Design and train modern LLM architectures using Pytorch on GPU clusters.
• Post-train open-source models into agentic and recursive variants with new capabilities.
• Implement multi-agent designs and system-level optimizations using relevant tools.

Qualifications:

• Enrolled in a PhD program in computer science, AI, machine learning, or related fields.
• Experience in ML and systems design research projects.
• Familiarity with model post-training and high-performance LLM inference systems.