Computer Vision Engineer

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Computer Vision ML / Research Engineer

(on-site)

About the company

We're a small, well-funded Series A team in San Francisco. We apply computer vision and sensing to heavy industry, in places where the data is messy and the stakes are real.

The role

You'll build the vision systems that measure large piles of industrial material from camera data. The work covers the full path from raw stereo images to a volume number people can trust.

What you'll work on:

• Stereo reconstruction and depth estimation
• Segmentation and point cloud cleanup
• Ground plane estimation
• Volume calculation in rough, outdoor industrial settings

This is hands-on research and engineering. What you build ships to customers.

Must-haves

• 4+ years of computer vision or perception ML experience
• Python and PyTorch
• OpenCV and/or Open3D
• 3D geometry and camera calibration
• Stereo and depth estimation
• Point clouds and segmentation

Nice-to-haves

• CUDA
• Robotics perception, SLAM, or photogrammetry
• Industrial inspection work
• Geospatial or volumetric measurement
• Modal or other GPU cloud experience