Computer Vision & Robotics Intern
CleraAdded 3h ago
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Quick summaryby newgrad.ai
What you'll do
- Develop vision pipelines for object detection, tracking, and temporal analysis.
- Test perception systems against motion, lighting changes, and occlusions.
- Train and debug models using PyTorch for edge deployment.
- Create evaluation tools to monitor performance in factory environments.
What they're looking for
- Students in computer science, robotics, or related engineering fields.
- Proficiency in Python with experience in machine learning or robotics.
- Practical background working with real camera or sensor data.
Pay and perks
- Visa sponsorship provided for international candidates.
- Relocation assistance available for applicants from Germany.
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.
From Clera's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
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