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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 startup's engineering team to help develop computer vision systems for factory quality inspection. The system uses first-person cameras to understand manual assembly, recognize process steps, and detect deviations, with the longer-term goal of supporting robotic automation. WHAT YOU'LL DO - Build and improve computer vision pipelines for detection, classification, tracking, and temporal understanding. - Test first-person perception in challenging conditions, including camera motion, occlusion, motion blur, and changing lighting. - Work with synthetic and real-world data to identify failure cases and improve model performance. - Train, evaluate, and debug 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 assess performance in real factory environments. WHAT WE'RE LOOKING FOR - Currently studying computer science, robotics, electrical engineering, mechanical engineering, or a related field. - Hands-on experience in computer vision, machine learning, or robotics, and comfort working with Python. - Interest in computer vision and physical AI, with the ability to learn quickly, debug problems, build, and take ownership. - Experience with PyTorch, OpenCV, object detection, tracking, synthetic data, SLAM or VIO, 3D vision, CUDA or TensorRT, ROS2, or NVIDIA Jetson is helpful. COMPENSATION & BENEFITS Visa sponsorship is available. Relocation from Germany is supported. LOCATION On-site in San Francisco, California, United States.