Senior Machine Learning Engineer, Defect Quality & Systems
Core
Lead the design and implementation of sophisticated ML models for real-time defect detection and classification in semiconductor manufacturing.
Role type
Senior IC machine learning engineer (computer vision)
Builds
Production ML models for defect detection and classification
Domain
Semiconductor manufacturing / Computer Vision
Deliverable
production ML models
Required skills
TensorFlow, PyTorch, CNNs, Object Detection, Linux, Command-line interfaces, Feature engineering, Hyperparameter tuning, Model deployment, Technical mentorship
Preferred skills
Semiconductor industry experience
Technologies
TensorFlow 2.x, PyTorch, Ubuntu
Responsibilities
Architect advanced ML solutions for defect detection; Partner with module owners to translate physical defect characteristics into mathematical models; Optimize the ML pipeline via feature engineering and tuning; Ensure operational scalability for 24/7 production; Mentor junior engineers and conduct code reviews.
Seniority
Senior, hands-on IC