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Computer Vision & Robotics Intern

On-site
CleraSan Francisco, CA, US21 hours agoWebsite
Fresh
Full-time
Intern
Engineering

Compensation

Salary undisclosed
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Description

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.

Stack

Computer VisionPythonPyTorchTensorRTMachine LearningCUDARobotics
Posted
Oct 29, 2026
Last seen
Oct 29, 2026
First seen
Oct 29, 2026

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