Algorithm Engineer

Position Summary The position will be responsible for algorithm modeling, analysis, and implementation for ZEISS products, encompassing both 2D and 3D imaging solutions, as well as related imaging technologies. This role will involve developing and optimizing algorithms for image processing, machine learning, and model deployment, supporting advancements in precision and reliability across the product line.

Main Tasks Be a solid part of the NEV application team Responsible for the CT/Xray image algorithm modeling, analysis, and implementation Responsible for the core technical issue solving and optimization Responsible for the cross-site technical alignment Work with team to build and drive the tech stack development

Requirements

• Education Master’s degree in math, computer science, software engineering or similar

Experience Solid experience in industry defect image recognition, lithium-ion battery preferred. Understanding of battery manufacturing process. Solid foundation in computer science, image processing, and computer vision Solid knowledge and experience in traditional image processing. Proficiency in Python. Experience with algorithm modeling and emulation platforms Experience training machine learning models for classification, object detection, and segmentation Proficiency in model performance analysis, including accuracy, precision, recall, and F1-score Expertise in model optimization techniques (quantization, pruning, model compression) Advanced image processing skills, including data augmentation and pre-processing techniques Proficiency in end-to-end testing practices (unit, integration, and model performance validation) Strong troubleshooting, debugging, and problem-solving skills Knowledge of X-ray imaging systems and principles as a plus Experience with additional languages (e.g., C#, C++) as a plus

Other skills Proficiency in English and Chinese (both spoken and written) and good communication skills Ability to work independently yet team-oriented Self-motivated and open-minded with high degree of responsibility Work experience in cross-site international team is a plus

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