AI Vision Engineer

Job Description/Qualifications

• Design, train, and deploy computer vision models for object detection, classification, and positioning in semiconductor service environments
• Build robust image and video processing pipelines that handle real-world field conditions
• Develop and maintain training data pipelines: collection, annotation, augmentation, and quality assurance
• Optimize models for inference performance across deployment targets balancing accuracy, latency, and compute constraints
• Integrate vision capabilities into broader multimodal AI systems that combine visual perception with knowledge retrieval and reasoning
• Build evaluation frameworks that measure model performance against real field data
• Design model architectures that serve both AI knowledge systems and future robotics/automation initiatives
• Stay current with the vision model frontier and bring whats relevant into production
• Document model architectures, training procedures, and deployment patterns so the team can build on your work

• Bachelors degree in Computer Science, Electrical Engineering, or related field; Masters preferred
• 1+ years of experience building and deploying computer vision systems (strong new grads with demonstrated projects or research considered)
• Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow)
• Hands-on experience with object detection and classification architectures and transfer learning / fine-tuning approaches
• Experience building training data pipelines annotation tooling, data augmentation, and active learning strategies
• Experience with model optimization techniques for edge or constrained deployment
• Strong understanding of image processing fundamentals and camera systems
• Self-directed you experiment, iterate, and push boundaries without waiting for direction
• Excellent problem-solving skills and ability to debug model failures in messy, real-world data
• Prior experience in manufacturing, robotics, industrial inspection, or semiconductor environments is a plus
• Experience with 3D vision, depth estimation, or point cloud processing is a plus

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