Callosum
ML Research Engineer - Member of Technical Staff
London. Posted 2 months ago
The role
You will design and run experiments to understand why agentic systems fail and turn findings into interventions. You will build agent analysis and evaluation infrastructure and work on research themes like context management and agent steering.
What you will do
- Design and run experiments to isolate why agentic systems fail
- Attack core research themes including context and memory management, agent steering, task decomposition, and inter-agent communication
- Build agent analysis and evaluation infrastructure
- Publish evaluation results, methods and discoveries
- Design systems that run at scale with low cost and latency
- Invent novel model and agent architecture for unconventional silicons
Required qualifications
- Evidence that you can run research of your own
- Deep hands-on experience with LLMs in agentic settings
- Real experimental discipline
- Strong engineering
- Strong communication skills
Nice to have
- Evaluations, benchmarks or agent harnesses you built that other people went on to use
- Experience with RL or post-training for long-horizon, multi-step or tool-use tasks
- Depth in multi-agent systems, planning, program synthesis, or retrieval over structured artefacts
- Deep familiarity with the internals of SGLang, vLLM, or comparable inference serving frameworks
- A background in another field that studies systems of interacting heterogeneous components
- A published track record in a relevant field
Benefits
- Competitive Salary
- Equity & Ownership
- Private healthcare
- Visa sponsorship
- Relocation benefits
Before you apply
- We offer Visa sponsorship and relocation benefits
About the company
Callosum is the Intelligent Systems Company building infrastructure that unifies heterogeneous compute across the full stack. They are engineers and scientists based in London.