Senior Machine Learning Engineer, Defect Quality & Systems

What you'll do

• Architect and implement sophisticated ML models for real-time defect detection and classification.
• Translate physical defect characteristics into mathematical modeling proposals and classification frameworks.
• Adapt emerging AI research and new architectures to solve semiconductor manufacturing challenges.
• Optimize model performance through advanced feature engineering and hyperparameter tuning.
• Develop robust models for seamless integration into a 24/7 high-throughput production environment.
• Provide technical mentorship to junior engineers and conduct rigorous code reviews.
• Establish best practices for model deployment, validation, and maintenance.

What we're looking for

• BS or MS in Software Engineering, Computer Science, Data Science, Mathematics, or a related STEM/Engineering degree.
• 5+ years of relevant experience.
• Experience in the semiconductor industry (preferred).
• Mastery of open-source frameworks like TensorFlow 2.x and PyTorch with a track record of production deployment.
• High comfort level with command-line interfaces and Linux environments (Ubuntu).
• Ability to optimize models for hardware performance.
• Ability to synthesize complex ML metrics into actionable business insights for diverse audiences.
• History of managing complex technical projects from conception to delivery.