Join OpenSpace as a Senior Computer Vision Engineer to transform construction projects with AI and machine learning. Utilize advanced algorithms to deliver real-time insights in office and enhance efficiency.
In this pivotal role, you will develop core algorithms focused on mapping, localization, and 3D reconstruction using real-world construction data. Candidates should possess extensive experience in computer vision and machine learning, ready to leverage classical techniques alongside up-to-date deep learning methodologies. You’ll be responsible for creating visually impactful solutions that enhance team performance and project outcomes.
Key Responsibilities:
Design and architect complex computer vision systems
Develop and optimize image localization and SLAM techniques




Implement deep learning models for visual perception
Prototype and rigorously test algorithms with real data
Collaborate to transition research into production-ready systems
Requirements:
M.S./Ph.D. in Computer Vision or equivalent experience
5+ years developing vision and machine learning models
Strong expertise in camera calibration and 3D transforms
Experience with SLAM, SfM, and 3D reconstruction
Proficient in deep learning frameworks like PyTorch
Contribute to OpenSpace's cutting-edge solutions that reshape the construction industry through advanced computer vision.
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📌 Senior Computer Vision Engineer At Openspace Toronto (Canada)
🏢 Openspace
📍 Canada