XR
Senior AI - Computer Vision Engineer - UK
Contract type
Ongoing
Work mode
Hybrid · London, United Kingdom
Experience
Senior · 5+ years
Job description
Senior AI / Computer Vision Engineer to develop the perception and scene-understanding systems behind XYZ Reality's engineering-grade Augmented Reality solution for construction. The role focuses on 3D/spatial computer vision, from research and algorithm development through optimisation and embedded deployment.
At a glance
- Employment
- Full-time
- Work mode
- Hybrid · London, United Kingdom
- Languages
- English
What you'll do
- 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 capable of understanding 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 to develop geometric and spatial reasoning capabilities
- Explore emerging 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 data pipelines supporting supervised, self-supervised and semi-supervised learning
- Evaluate emerging foundation models, multimodal AI and modern computer vision techniques where they can add meaningful value
- Optimise models for embedded deployment, improving inference speed, accuracy and robustness
- Deploy and optimise models for embedded GPU platforms
- Build and improve production inference pipelines, benchmarking performance, latency and accuracy
- Contribute to technical architecture, design reviews and technical direction
- Share knowledge and mentor other engineers as the team continues to grow
What we're looking for
- 5+ years' industrial experience in Computer Vision, with strong hands-on experience solving complex technical problems
- MSc or PhD in Computer Vision, AI, Computer Science or a related discipline
- Deep expertise in 3D Computer Vision / 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 and modern computer vision architectures
- Experience designing and training large-scale deep learning models and working with large image datasets
- Strong mathematical foundations in machine learning and computer vision
- Ability to bridge research and production engineering
- Strong debugging and problem-solving skills and the ability to work through complex, ambiguous technical challenges
- A collaborative approach and the ability to work effectively across multidisciplinary engineering teams
Nice to have
- Experience with perception for autonomous or embodied systems, such as SLAM, sensor fusion or state estimation
Benefits
- Work at the intersection of Spatial AI, 3D Computer Vision, AR and real-world engineering
- Solve genuinely difficult perception and scene-understanding problems
- Develop AI that ultimately runs through physical, wearable technology
- See your work applied to some of the world's most ambitious construction projects
- Join a Series B business at an exciting stage of international growth
- Work alongside specialists across Computer Vision, AI, Navigation, Embedded Software and Hardware
- Have meaningful influence over technical architecture and the future direction of perception technology
- Build technology with tangible, real-world impact
Apply
About XYZ Reality
Build the spatial AI behind the future of construction
XYZ Reality has created the world's first engineering-grade Augmented Reality solution for construction. Its technology, The Atom, is used on major construction projects around the world to help teams build more accurately, efficiently and with fewer mistakes.
Key facts
- Augmented Reality for construction
- Series B business
- The Atom is its engineering-grade Augmented Reality solution for construction
- Technology used on major construction projects around the world
- Growing R&D capability and team
- Building capability and presence in Calgary