Computer Vision Engineer

• Develop advanced computer vision algorithms for construction scene understanding and spatial intelligence
• Design and develop semantic segmentation, object detection and instance segmentation models
• Build algorithms that understand 3D environments, spatial relationships and physical geometry
• Develop automated BIM correspondence and object-matching capabilities
• Develop algorithms using multi-modal sensor data
• Combine AI, 3D vision, SLAM and BIM for geometric and spatial reasoning
• Explore scene representation techniques including Gaussian Splatting and NeRFs
• Improve localisation-assisted perception and robustness across varying lighting, weather and real-world site conditions
• Design, train and evaluate large-scale deep learning models
• Develop supervised, self-supervised and semi-supervised learning data pipelines
• Evaluate foundation models, multimodal AI and modern computer vision techniques
• Optimise models for embedded deployment and embedded GPU platforms
• Build and improve production inference pipelines, benchmarking latency, accuracy and performance
• Contribute to technical architecture, design reviews and technical direction
• Share knowledge and mentor other engineers
• Collaborate with Navigation, Embedded Software, Hardware and Product teams

Explore Senior AI Engineer – Computer Vision at XYZ Reality. Review requirements and application details.