About the Role

Join an industrial inventory measurement team building computer vision systems that turn stereo camera captures into accurate, auditable pile measurements. You will own the core perception pipeline, from research through production, and help ensure measurements are reliable in real-world conditions.

What You'll Do

Build and maintain stereo reconstruction, depth estimation, segmentation, and 3D volume estimation pipelines.

Integrate and evaluate computer vision models, including stereo and YOLO-style models.

Improve point-cloud cleanup, ground-plane estimation, and reconstruction quality.

Assess camera calibration assumptions and diagnose failure modes using real-world sensor data.

Develop confidence metrics and evaluate measurement accuracy as research systems move toward production.

What We're Looking For

At least 4 years of experience in computer vision or perception ML engineering.

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

Hands-on experience with stereo vision, depth estimation, point clouds, 3D geometry, camera calibration, or 3D reconstruction.

Experience shipping computer vision systems using real-world sensor data, ideally including stereo perception or volume reconstruction.

Comfort debugging sensor data and evaluating end-to-end perception quality.

Experience with CUDA, robotics perception, SLAM, photogrammetry, or industrial inspection 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.