Senior AI - Computer Vision Engineer
XYZ Reality17 days ago
Calgary, CanadaSenior
Responsibilities
- Develop advanced computer vision algorithms for construction scene understanding and spatial intelligence.
- Design, train, and evaluate semantic segmentation, object detection, instance segmentation, and large-scale deep learning models.
- Build systems for 3D environment understanding, spatial reasoning, BIM correspondence, object matching, installation-state recognition, construction progress, and quality assessment.
- Use RGB, stereo, depth cameras, SLAM, BIM, and other wearable sensor data to develop perception systems.
- Explore Gaussian Splatting, NeRFs, foundation models, multimodal AI, and modern computer vision techniques.
- Develop supervised, self-supervised, and semi-supervised learning data pipelines.
- Optimize and deploy models on NVIDIA Jetson using TensorRT, CUDA, and ONNX.
- Build production inference pipelines and benchmark latency, accuracy, robustness, and inference speed.
- Improve localization-assisted perception across varied lighting, weather, and construction-site conditions.
- Contribute to architecture, design reviews, R&D roadmap decisions, knowledge sharing, and engineer mentoring.
Requirements
- At least 5 years of industrial experience in computer vision.
- MSc or PhD in Computer Vision, AI, Robotics, Computer Science, or a related discipline.
- Deep expertise in 3D computer vision and spatial AI.
- Strong understanding of geometry, spatial relationships, and scene understanding.
- Experience developing and deploying computer vision and deep learning systems in production.
- Strong Python development skills and expert knowledge of PyTorch.
- Experience with semantic segmentation, object detection, image understanding, modern computer vision architectures, large-scale deep learning models, and large image datasets.
- Strong mathematical foundations in machine learning and computer vision.
- Ability to bridge research and production engineering and develop robust, deployable products.
- Strong debugging, problem-solving, collaboration, and multidisciplinary engineering skills.
Benefits
- Work at the intersection of spatial AI, 3D computer vision, augmented reality, and real-world engineering.
- Develop AI for physical wearable technology and see it deployed on major construction projects.
- Join a Series B company during international growth and contribute to technical architecture and R&D direction.
- Collaborate with specialists in computer vision, AI, navigation, embedded software, and hardware.
- Build technology with tangible real-world impact in a Calgary technology hub.
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