Senior AI - 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 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 our technical direction.
• Share knowledge and mentor other engineers as the team continues to grow.

• 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.
• Experience with perception for autonomous or embodied systems, such as SLAM, sensor fusion or state estimation, would be valuable.
• Deep expertise in 3D Computer Vision / Spatial AI, this is a core requirement for the role.
• 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, comfortable exploring emerging techniques while remaining focused on building robust, deployable products.
• 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.

What matters most for this role is genuine depth in 3D / spatial computer vision and the ability to apply that expertise to complex, real-world engineering problems.

We’re particularly interested in someone who is curious about where computer vision and AI are heading, but who also has the practical engineering mindset to turn emerging research into technology that works reliably outside of the lab.

From the outset, you’ll have the opportunity to contribute to some of our highest-priority R&D initiatives, including:

• 3D construction scene understanding
• Construction semantic segmentation
• Automated BIM understanding and object correspondence
• Spatial reasoning across wearable sensor data
• Embedded AI deployment
• Foundation models for construction understanding
• Perception for wearable AR

About XYZ Reality

XYZ Reality created the world’s first engineering-grade augmented reality for construction. Our site-safe hardhat, The Atom, overlays the design model onto the live build, so our engineers can verify work as it goes in on some of the most complex mission-critical projects in the world.

Backed by Series B investment and growing fast across the US, UK and Europe, we’re a driven, passionate team changing how the industry builds.

If you want your work to shape how the world gets built, we’d like to hear from you.

Why join us

• 🚀 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 – not just software on a screen
• 🏗️ 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 our perception technology
• 🌍 Build technology with tangible, real-world impact

If you’re passionate about 3D computer vision and spatial AI, enjoy solving difficult problems at the intersection of research and engineering, and want to see your work move from algorithms into technology being used in the physical world, we’d love to hear from you.