Senior Computer Vision ML / Research Engineer

About the Role

Build and own the computer vision pipeline that converts stereo camera data into accurate, auditable industrial inventory measurements. This role focuses on taking 3D perception research and developing it into reliable production measurement systems.

What You'll Do

• Develop and maintain stereo reconstruction, segmentation, point-cloud processing, and 3D volume estimation pipelines.

• Integrate models such as stereo depth and object detection systems, and evaluate their performance on real-world sensor data.

• Improve reconstruction quality, measurement accuracy, camera calibration assumptions, and confidence metrics.

• Estimate ground planes, stitch data, clean point clouds, and investigate system failure modes.

• Move research prototypes toward production-grade computer vision systems.

What We're Looking For

• At least 4 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, point clouds, 3D reconstruction, and 3D geometry.

• Experience shipping computer vision systems based on real-world sensor data, including camera calibration and segmentation.

• Research or applied work in stereo perception and volume reconstruction.

• Experience with CUDA, robotics perception, SLAM, photogrammetry, industrial inspection, or volumetric measurement is valuable.

• A master's or doctoral degree in computer vision, robotics, or a related field 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.