Senior AI Systems Engineer – Material Intelligence
Core
Building internal AI and data science capability for material intelligence systems using structured, complex material datasets to unlock insights into material properties and behavior.
Role type
Senior AI Systems Engineer (Material Intelligence)
Builds
Scalable architecture for AI-enabled material data systems and lightweight agent systems
Domain
Materials science + Applied AI / Machine Learning
Deliverable
production ML models
Required skills
Machine learning on structured/industrial datasets, Feature engineering, Model validation, Data pipeline development, Handling small/complex datasets, Model interpretability, LLMs for automation, AI infrastructure design
Preferred skills
Scientific/engineering/physics data exposure, Agent systems specialization
Technologies
LLMs, APIs, Automation tools
Responsibilities
Prepare structured material datasets for AI/ML applications, Analyze and improve data pipelines and feature engineering, Support development of predictive models for material properties, Evaluate model performance focusing on robustness and generalization, Develop internal standards for model validation and reproducibility, Document system architectures and modeling decisions, Build and integrate AI-based tools and lightweight agent systems, Contribute to AI infrastructure design decisions
Seniority
Senior, hands-on IC