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Applied AI/ML Engineer (Agents)

CuspAI · London

2 months ago

HybridFull_timeagentic systemsmaterials discoverymachine learning

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