Computer Vision & Robotics Intern

Clera

San Francisco, CA, United States1w ago

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Key details

Location
San Francisco, CA, United States
Work style
Onsite
Level
Intern
Job type
Full-time
Function
Data & ML
Focus area
AI / ML
Visa sponsorship
Available
Posted
1w ago

Skills

calibrationcomputer visioncudaindustrial automationmachine learningopencvpythonpytorchrobotics

About the role

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.

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