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Reputable employer, generalist 'AI Engineer' title, and specialized ML/CV product experience yield medium competition.
Computer-vision and semiconductor inspection domain knowledge increases specificity, though ML skills remain partly transferable.
Explicit 8+ years requirement plus mandatory ML/CV and deployment experience enforces strict screening.
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Design, develop, modify, and diagnose complex machine learning and deep learning algorithms for semiconductor manufacturing inspection systems.
Invent, prototype, and deploy new image processing algorithms applicable to high-volume semiconductor defect detection.
Contribute hands-on experience in object-oriented and functional programming within team and independent settings.
Doctorate with 3 years related work experience, or Master's with 6 years, or Bachelor's with 8 years in relevant field.
Strong expertise in machine learning, deep learning, computer vision, or image processing.
Proficiency with deep learning frameworks such as TensorFlow or PyTorch.
Experience training ML/AI models deployed in products and ability to write model architectures and modify loss functions.
Experienced in developing ML/DL algorithms targeted for semiconductor manufacturing or similar high-precision environments.
Able to independently prototype and implement novel image processing solutions with practical applications.
Skilled in programming paradigms (OOP and functional) critical to machine learning model development and deployment.