Job Responsibilities:

• Design a general-purpose machine vision algorithm library for industrial defect detection, including object detection, object recognition, anomaly detection, etc.
• Optimize algorithms to reduce complexity and apply them to ultra-large-scale product images, improving algorithm runtime and Tact time.
• Design and implement standardized industrial product quality inspection pipelines, standardizing algorithm processes to achieve efficient algorithm development and rapid iteration.
• Collaborate with the product development team to achieve technical iteration and optimization of the company's core algorithms, completing product development and upgrades.

Job Requirements:

• Master's degree or above in Mathematics, Computer Science, or Electronic Engineering.
• Experience in research and implementation of computer vision and image processing in the field of industrial defect detection.
• Prior experience in algorithm development related to display panel defect detection, API, Demura, etc., is preferred.
• Proficient in C++ programming, familiar with OpenCV, and experienced with deep learning frameworks such as TensorFlow and PyTorch.
• Passionate about innovation and application in computer vision, machine learning, and deep learning, with the ability to tackle challenging technical tasks.

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