Machine Learning / Deep Learning (1216)

As a member of the Vision & Spatial Data team, you’ll be responsible for developing robust completely-automated computer vision and machine learning 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!

5+ years of experience in machine learning and computer vision/10+ years of software development experience Deep learning Experience applying machine learning to computer vision problems Ability to write performant, well-tested, production-ready code Python is a must! Nice to Have Experience! C++ Experience with tools such as OpenCV, Eigen, and Ceres Solver Experience with 3D computer vision algorithms such as 3D alignment and reconstruction, object detection and classification, and mesh processing 2D computer vision algorithms such as image processing and feature detection Cloud infrastructure (AWS, GCP, Azure)