AI/ML Engineer - Materials Discovery
Core
Build AI/ML models and agentic systems to accelerate the discovery of bio-based materials for packaging, textiles, and the built environment.
Role type
Mid-level AI/ML Engineer (Materials Discovery)
Builds
Production ML models, agentic discovery systems, and data infrastructure for scientific experiments.
Domain
Materials Science / Bio-based Formulations / AI for Science
Deliverable
production ML models
Required skills
PyTorch, scikit-learn, MLFlow, Python, CI/CD, Cloud platforms (GCP), Bayesian optimization, Active learning, Agentic frameworks (PydanticAI, ADK, LangGraph)
Preferred skills
Robotics orchestration, Genomics/Chemistry data handling, PhD in related discipline
Technologies
PyTorch, scikit-learn, MLFlow, PydanticAI, ADK, LangGraph, GCP
Responsibilities
Design and deploy structure property prediction models for bio-based formulations; Develop and instrument agentic systems with traceability and versioning; Build evaluation pipelines to compare modeling approaches; Collaborate with engineering teams to productionize efficient data sampling techniques; Maintain data infrastructure sourcing from literature, simulations, and autonomous labs.
Seniority
Mid-level, hands-on IC