Summary

ML research engineer and member of technical staff developing agentic AI systems across heterogeneous models and hardware. The role focuses on experiments, evaluation infrastructure, reinforcement learning, inference systems, and research publication, and is based in person at the London office.

Responsibilities

• Design and run experiments on agent failures
• Build agent analysis and evaluation infrastructure
• Investigate context and memory management methods
• Research agent steering and task decomposition
• Publish evaluation results and research discoveries
• Design systems for heterogeneous silicon