About the Role
Join an industrial inventory measurement team building a computer vision system that turns stereo camera data into accurate, auditable pile measurements. You will own the core perception pipeline and help bring research methods into production-grade measurement.
What You'll Do
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Develop stereo reconstruction, depth estimation, segmentation, and point-cloud processing workflows.
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Improve 3D reconstruction quality, volume accuracy, calibration assumptions, and measurement confidence metrics.
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Build and maintain ground-plane estimation, point-cloud cleanup, stitching, and volume calculation components.
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Integrate and evaluate vision models, including stereo and YOLO-style approaches.
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Analyze failure modes and debug perception systems using real-world sensor data.
What We're Looking For
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Four or more years of experience in computer vision or perception machine learning engineering.
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Strong Python and PyTorch skills, with experience using OpenCV and Open3D.
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Hands-on experience with stereo vision, depth estimation, camera calibration, point clouds, 3D geometry, or reconstruction.
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Experience shipping computer vision systems that use real-world sensor data.
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Background in stereo perception and volume reconstruction through work or research.
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Experience with CUDA, robotics perception, SLAM, photogrammetry, industrial inspection, or geospatial and volumetric measurement is beneficial.
Compensation & Benefits
Base salary: $180,000 to $245,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
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