前五大設備商_美商半導體公司_Machine Learning Application Engineer

【Client Description】

This leading semiconductor equipment company is a global provider of process control and yield management solutions for the semiconductor and related nanoelectronics industries. The company specializes in developing advanced inspection, metrology, and data analytics systems that enable chip manufacturers to detect defects, monitor process variations, and accelerate yield learning throughout the production cycle.

Its technologies are essential in ensuring the quality and reliability of integrated circuits and advanced packaging processes used in consumer electronics, communications, automotive, and AI applications. With a strong focus on innovation and precision engineering, the company plays a crucial role in driving the advancement of semiconductor manufacturing technology worldwide.

【Candidate Profile】

• Master's or Ph.D. in Computer Science, Electrical Engineering, or related field (focus on ML or Computer Vision).
• Experienced with CNNs, transformers, and modern AI architectures.
• Skilled in GPU computing and cloud-based AI deployment.
• Familiar with image/signal processing and statistical analysis.
• Strong problem-solving and communication skills; fluent in English.
• Dynamic, people-oriented, and collaborative in fast-paced settings.
• Semiconductor or high-tech industry experience preferred.
• Based in Taiwan with regular global travel.

【Responsibilities】

• Develop and optimize deep learning models for image analysis and defect detection in semiconductor manufacturing.
• Collaborate with software, hardware, and domain experts to integrate AI into inspection and metrology systems.
• Research and apply advanced neural network architectures for wafer inspection and yield improvement.
• Build scalable training pipelines and manage large semiconductor datasets.
• Validate model performance and ensure accuracy and robustness in production.
• Support technical documentation, publications, and patents.