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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.
Responsibilities
- Develop stereo reconstruction, depth estimation, segmentation, and point-cloud processing workflows.
- Improve 3D reconstruction quality, volume accuracy, calibration assumptions, and measurement confidence metrics.
- Build and maintain ground-plane estimation, point-cloud cleanup, stitching, and volume calculation components.
- Integrate and evaluate vision models, including stereo and YOLO-style approaches.
- Analyze failure modes and debug perception systems using real-world sensor data.
Requirements
- Four or more years of experience in computer vision or perception machine learning engineering.
- Hands-on experience with stereo vision, depth estimation, camera calibration, point clouds, 3D geometry, or reconstruction.
- Experience shipping computer vision systems that use real-world sensor data.
- Background in stereo perception and volume reconstruction through work or research.
Skills
- Python
- PyTorch
- OpenCV
- Open3D
- CUDA
- Robotics perception
- SLAM
- Photogrammetry
- Industrial inspection
- Geospatial and volumetric measurement
Location
- San Francisco, California, United States
Work Type
- On-site
Experience Level
- Four or more years
Salary/Compensations
- $180,000 to $245,000 annually
Benefits
- Visa sponsorship is available.