Computer Vision Engineer (3D)

Summary

Join Canvas, a leading-edge AI and computer vision technology company revolutionizing the remodeling, architecture, and interior design industries. We use LiDAR-enabled scans to create precise 3D models of homes. As a global virtual-first company, we offer a distributed work environment. This role involves a blend of classical 3D computer vision and modern deep learning, focusing on 3D scanning, reconstruction, SLAM, and scene understanding. You will develop and improve computer vision algorithms, build efficient implementations, stay current with advancements in the field, and collaborate with the iOS team. We are an early-stage startup experiencing rapid growth and seeking talented individuals to contribute to our success.

Requirements

• Experience in 3D computer vision R&D such as 3D scanning, RGBD algorithms, visual SLAM, sensor calibration and fusion, multi-view geometry, tracking and pose estimation, etc
• Ability to quickly evaluate applicability and value of existing state-of-the-art research for our product needs
• Experience with writing production C++ code
• Solid math background, especially in 3D math and linear algebra
• Comfortable working across multiple time zones and cultures

Responsibilities

• Develop new and improve existing computer vision algorithms in the field of house-scale 3D reconstruction (from LiDAR and/or monocular camera), SLAM, and scene understanding
• Build efficient implementations of algorithms and deliver them to production
• Remain up to date with the latest advances in computer vision and deep learning technology, and apply them to our products
• Work closely with the iOS team to improve real-time scanning experience for our scanning app users

Preferred Qualifications

• Deep learning experience in application to 3D computer vision problems
• Experience of working with large production C++ codebases