Skill
Convolutional Neural Networks (CNN)
Data Science, Analytics and AI/ML
Convolutional Neural Networks (CNNs) are a class of deep learning models that use layers of learnable filters (convolutions) to automatically detect spatial patterns like edges, textures, and shapes in data, most commonly images. They are widely used by machine learning engineers and researchers for tasks such as image classification, object detection, facial recognition, and medical image analysis. CNNs underpin many computer vision applications, including those in autonomous vehicles and photo-tagging software.
Open roles requiring Convolutional Neural Networks (CNN) (1)
Staff AI Engineer, Perception
Agility Robotics
Full-time · Fremont, CA · $207,000 – $323,000
This role leads the development of computer vision and machine learning systems for object detection and tracking on deployed humanoid robots in logistics and manufacturing environments. It's ideal for an experienced ML engineer with a strong robotics background who wants to own the technical architecture of perception systems operating in real-world production settings.
Listed on Agility Robotics’s careers site · Apply there ↗
Roles that use Convolutional Neural Networks (CNN)
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