We turn inspection data from pipelines, chemical plants, ships, and bridges into real-time, risk-based maintenance decisions. We are looking for an exceptional ML engineer working student to help us solve some of the hardest applied machine learning problems in industrial inspection — from weld defect detection and corrosion analysis on radiographic data to future UT-based systems and long-term corrosion prediction. It is about solving hard end-to-end real-world problems: turning messy industrial data into reliable production systems. * Deep learning models for weld defect detection and corrosion analysis on radiographic and ultrasonic data * Managing external labeling teams * Comfortable working across data, models, infrastructure, and deployment * Bonus: experience in computer vision, MLOps, production ML, imaging, or sensor data
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