Senior Materials Informatics Engineer
Core
Develop, validate, and productize physics-informed machine learning models for advanced materials, specifically steel and metallurgy.
Role type
Senior IC materials informatics engineer (physics-informed ML)
Builds
Computational and ML-based models for metals and metallurgical applications
Domain
Materials science / Metallurgy / Machine Learning
Deliverable
production ML models
Required skills
Physics-informed modeling, materials science expertise, Python scripting, data curation, model validation, technical documentation
Preferred skills
CALPHAD, pycalphad, TTT/CCT diagrams, JMAK kinetics, alloy design, ICME workflows, NumPy, pandas, scikit-learn
Technologies
Python, NumPy, pandas, matplotlib, scikit-learn, Excel
Responsibilities
Develop computational and ML-based models for steel metallurgy and process-property relationships; Define model assumptions, validation datasets, and acceptance criteria; Improve AI model performance by integrating materials science expertise; Identify data correlations between process, structure, and properties; Retrieve, structure, clean, and curate materials data from various sources; Test AI software outputs and benchmark results against simulation tools
Seniority
Senior, hands-on IC