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Clera

Computer Vision & Robotics Intern

San Francisco · On-site · FullTime · Engineering

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About the role

Computer VisionRoboticsPyTorchPythonMachine LearningElectrical EngineeringMechanical Engineering
ABOUT THE ROLE Join an early-stage industrial automation team building computer vision systems to understand manual work in factories. You will work on the core perception system, helping bring real-time quality inspection from controlled experiments into production environments, with potential applications in robotic automation. WHAT YOU'LL DO - Build and improve vision pipelines for detection, classification, tracking, and temporal understanding. - Test first-person perception systems under camera motion, changing viewpoints, occlusion, motion blur, and variable lighting. - Use synthetic and real-world data to find failure cases and improve model performance. - Train, evaluate, and debug computer vision models using PyTorch. - Explore geometric vision, calibration, localization, pose estimation, and 3D perception. - Optimize models for low-latency inference and edge deployment. - Build evaluation tools and support deployments to learn how systems perform on factory floors. WHAT WE'RE LOOKING FOR - Currently studying computer science, robotics, electrical engineering, mechanical engineering, or a related field. - Comfortable programming in Python, with hands-on experience in computer vision, machine learning, or robotics. - Hands-on experience with robotics or perception using real sensor or camera data. - Curiosity about computer vision and physical AI, plus the ability to learn quickly, build, debug, and take ownership. - Experience with PyTorch, OpenCV, object detection, tracking, synthetic data, SLAM/VIO, 3D vision, CUDA/TensorRT, ROS2, or NVIDIA Jetson is a plus. COMPENSATION & BENEFITS Visa sponsorship is available. Relocation support from Germany is supported. LOCATION On-site in San Francisco, California, United States.