Applied AI/ML Engineer (Agents)
CuspAI · London
2 months ago
HybridFull_timeagentic systemsmaterials discoverymachine learning
2 months ago
Workplace
Hybrid
Employment
Full_time
Location
London
Posted
2 months ago
Summary
Applied AI/ML engineer role building intelligent agents for CuspAI’s autonomous materials discovery engine. The work combines machine learning, agentic systems, experimental design, and materials science, with a hybrid schedule requiring three office days per week in Cambridge, London, Amsterdam, or Berlin.
Responsibilities
- Design agentic framework for materials discovery
- Integrate agents with models, simulators, databases, backends
- Build pipelines for autonomous computational task execution
- Create evaluations for agent effectiveness
- Apply bayesian optimization and active learning
- Develop multi-fidelity, multi-objective decision strategies
- Connect simulation outcomes with physical experiments
pytorchjaxci/cdbayesian optimizationactive learningbanditsreinforcement learningrlhfrlaifllm
agentic systemsmaterials discoverymachine learningexperimental designcomputational chemistrysequential decision-making
