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Senior AI Engineer – Computer Vision
XYZ Reality. Develop advanced computer vision algorithms for construction scene understanding and spatial intelligence .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing advanced computer vision algorithms, particularly in 3D Computer Vision and Spatial AI, while effectively collaborating across multidisciplinary teams. Proficient in designing and deploying large-scale deep learning models and optimizing them for production environments.
Highest-signal resume keywords
Computer VisionDeep LearningPython DevelopmentPyTorch3D Computer Vision
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Semantic SegmentationObject DetectionInstance SegmentationGeometric ReasoningMachine LearningData Pipeline DevelopmentModel OptimizationScene UnderstandingBIM CorrespondenceSLAM
Soft Skills
Problem-SolvingCollaborationMentoring
Tools & Technologies
Embedded GPU PlatformsMultimodal Sensor DataLarge Image DatasetsProduction Inference Pipelines
Certifications & Qualifications
MSc in Computer VisionPhD in Computer Vision
Industry Keywords
Spatial IntelligenceAITechnical ArchitectureAutonomous SystemsSensor Fusion
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 5+ years’ industrial experience in Computer Vision
- 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
- Experience with perception for autonomous or embodied systems, such as SLAM, sensor fusion or state estimation, would be valuable
- Ability to bridge research and production engineering
- Strong debugging and problem-solving skills
- Ability to work effectively across multidisciplinary engineering teams
Benefits
Comp & perks- Hybrid working arrangement, based out of the Angel, London office 2–3 days per week
- Opportunity to work at the intersection of Spatial AI, 3D Computer Vision, AR and real-world engineering
- Meaningful influence over technical architecture and the future direction of perception technology
- Work alongside specialists across Computer Vision, AI, Navigation, Embedded Software and Hardware
- Opportunity to see work applied to major construction projects
- Opportunity to work on wearable technology and embedded AI
- Opportunity to contribute to international growth at a Series B business