ML Research Engineer - Member of Technical Staff

Callosum is an Intelligent Systems Company building infrastructure that unifies heterogeneous AI models, hardware, and compute across the full stack. The ML Research Engineer will develop evidence-based methods for automatically designing and improving agentic systems by running experiments, building evaluation infrastructure, and researching areas such as memory management, agent coordination, continual learning, and model architecture.

Responsibilities:

• Design and run experiments that isolate why agentic systems fail - across behaviour, traces and activations - and turn those findings into interventions that measurably move intelligence, cost and reliability
• Attack one or more of our core research themes: context and memory management; agent steering, task decomposition and specialisation; continual learning during deployment; and inter-agent communication
• Build agent analysis and evaluation infrastructure - observability, behaviour analysis, evaluation harnesses, auditing - as durable instruments the whole company works from, not one-off scripts
• Publish. Evaluation results, methods and discoveries, as both company assets and public evidence
• Work across team boundaries in both directions: take a vertical domain-specific application problem and design systems which run at unpreceding scale at lowest cost and latency; or invent novel model and agent architecture which exploit emerging unconventional silicons beyond GPU