Full-Time CV/ML Engineer
Canvas is hiring a remote Full-Time CV/ML Engineer. The career level for this job opening is Experienced and is accepting Europe based applicants remotely. Read complete job description before applying.
Canvas
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Canvas is revolutionizing the remodeling, architecture, and interior design industry with AI and computer vision. We capture precise 3D home scans using LiDAR-enabled devices. Our proprietary process transforms these scans into highly detailed, editable as-built files.
We're seeking a Computer Vision / Machine Learning Engineer to advance our Scan-to-CAD automation.
Responsibilities:
- Review research papers and experiment with state-of-the-art 3D scene understanding and Scan-to-CAD conversion approaches.
- Develop new algorithms and train neural networks for Scan-to-CAD conversion, potentially in parts.
- Collaborate with 3D Operations, Visualization & Tooling teams to automate 3D tooling and integrate CV/ML solutions into production pipelines.
- Improve ML infrastructure: efficient data pipelines, automated training, and deployment processes.
Requirements:
- Deep expertise in modern machine learning techniques for computer vision.
- Strong skills in rapid iteration and experimentation.
- Excellent research literature review skills (reviewing dozens of papers).
- Proficiency in Python and PyTorch.
- Strong communication skills (fluent English).
- Comfortable working across multiple time zones and cultures.
Nice to Haves:
- MS or PhD in Machine Learning or Computer Vision, or relevant experience.
- Publications in top-tier computer vision conferences (CVPR, ICCV, ECCV).
- Experience with 3D scene understanding, SLAM, 3D reconstruction, depth estimation.
- Knowledge of MLOps best practices.
- Understanding of 3D model representations.