
Organizing the world's information and making it universally accessible.
Machine Learning Engineer, Computer Vision
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Develop solutions in artificial intelligence and machine learning applications for smart manufacturing.
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Implement and adapt deep learning architecture and the goal to land the factory test stations with a focus on automatic optical inspection solutions for production lines from new product introduction (NPI) to mass production (MP) stage.
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Debug the computer vision or image processing algorithms to investigate camera or assembly failures.
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Design and develop components of scalable Machine Learning infrastructure for manufacturing.
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Maintain and improve existing AI platform to support advanced automatic optical inspection.
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Bachelor’s degree or equivalent practical experience.
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5 years of experience with software development in one or more programming languages (e.g., Java, Python, C/C++).
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Experience with image processing, computer vision, and machine learning algorithms.
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Experience with machine learning computer vision algorithm development and tools (e.g., tensorflow, flume, machine learning libraries), artificial intelligence, deep learning.
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Experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
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