Job details
Job type full-time
Full job description
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Matterport is leading the digital transformation of the built worldOur groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessibleMillions of buildings in more than 150 countries have been transformed into immersive matterport digital twins to improve every part of the building lifecycle from planning, construction, and operations to documentation, appraisal, and marketingWe’re excited to announce that matterport is now publicly listed on nasdaq as mttrIt’s an exciting time to join us! visit our matterport comparably profile to learn more about working at matterport and the awards we have won for being a great place to work!
The role 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 hardwareWe 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 understandingAnd we’ve collected a massive database of complex real-world data that we can use to validate our approachesIf the combination of real data, real users, and cutting-edge research appeals to you, then we’d love to talk!
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Requirements
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)
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