Senior Staff Principal Computer Vision Engineer, Remote
Matterport
Sunnyvale California
United States
Information Technology
(No Timezone Provided)
THE ROLE:
- As a member of the computer vision team, you'll be responsible for developing robust completely automated computer vision algorithms to handle any real-world environment these users can throw at us, from small spaces captured with mobile devices all the way up to massive stadiums scanned with professional hardware.
- We work on a broad range of technologies, including point cloud alignment, generation/texturing of 3D meshes from point clouds, 3D mesh manipulation, camera calibration, SLAM, multi-view stereo, machine learning, and semantic understanding. And we've collected a massive database of complex real-world data that we can use to validate our approaches.
- If the combination of real data, real users, and cutting-edge research appeals to you, then we'd love to talk!
REQUIREMENTS:
- 5+ years of experience in computer vision/10+ years of software development experience
- Experience with 3D computer vision algorithms such as 3D alignment and reconstruction, object detection and classification, and mesh processing
- Ability to write performant, well-tested, production-ready code
- C++ is a must!
- Experience with tools such as OpenCV, Eigen, and Ceres Solver
NICE TO HAVE:
- Machine learning algorithms for vision problems, including deep learning
- 2D computer vision algorithms such as image processing and feature detection
- Python
- Cloud infrastructure (AWS, GCP, Azure)
Matterport is an equal opportunity employer.
req20-00696
Job Requirements:
- As a member of the computer vision team, you'll be responsible for developing robust completely automated computer vision algorithms to handle any real-world environment these users can throw at us, from small spaces captured with mobile devices all the way up to massive stadiums scanned with professional hardware.
- We work on a broad range of technologies, including point cloud alignment, generation/texturing of 3D meshes from point clouds, 3D mesh manipulation, camera calibration, SLAM, multi-view stereo, machine learning, and semantic understanding. And we've collected a massive database of complex real-world data that we can use to validate our approaches.
- If the combination of real data, real users, and cutting-edge research appeals to you, then we'd love to talk!
Senior Staff Principal Computer Vision Engineer, Remote
Matterport
Sunnyvale California
United States
Information Technology
(No Timezone Provided)
THE ROLE:
- As a member of the computer vision team, you'll be responsible for developing robust completely automated computer vision algorithms to handle any real-world environment these users can throw at us, from small spaces captured with mobile devices all the way up to massive stadiums scanned with professional hardware.
- We work on a broad range of technologies, including point cloud alignment, generation/texturing of 3D meshes from point clouds, 3D mesh manipulation, camera calibration, SLAM, multi-view stereo, machine learning, and semantic understanding. And we've collected a massive database of complex real-world data that we can use to validate our approaches.
- If the combination of real data, real users, and cutting-edge research appeals to you, then we'd love to talk!
REQUIREMENTS:
- 5+ years of experience in computer vision/10+ years of software development experience
- Experience with 3D computer vision algorithms such as 3D alignment and reconstruction, object detection and classification, and mesh processing
- Ability to write performant, well-tested, production-ready code
- C++ is a must!
- Experience with tools such as OpenCV, Eigen, and Ceres Solver
NICE TO HAVE:
- Machine learning algorithms for vision problems, including deep learning
- 2D computer vision algorithms such as image processing and feature detection
- Python
- Cloud infrastructure (AWS, GCP, Azure)
Matterport is an equal opportunity employer.
req20-00696
Job Requirements:
- As a member of the computer vision team, you'll be responsible for developing robust completely automated computer vision algorithms to handle any real-world environment these users can throw at us, from small spaces captured with mobile devices all the way up to massive stadiums scanned with professional hardware.
- We work on a broad range of technologies, including point cloud alignment, generation/texturing of 3D meshes from point clouds, 3D mesh manipulation, camera calibration, SLAM, multi-view stereo, machine learning, and semantic understanding. And we've collected a massive database of complex real-world data that we can use to validate our approaches.
- If the combination of real data, real users, and cutting-edge research appeals to you, then we'd love to talk!