Senior Computer Vision ML / Research Engineer

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

• 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.

What We're Looking For

• Four or more years of experience in computer vision or perception machine learning engineering.

• Strong Python and PyTorch skills, with experience using OpenCV and Open3D.

• 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.

• 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.