We are looking for a Machine Learning and Computer Vision expert with experience in real-time 3D rendering and WebGL. The ideal candidate will integrate AI models for face and body tracking, object classification, and image segmentation, developing cutting-edge AR solutions optimised for real-time performance across web and mobile platforms.
Fixed-term job | Permanent job
Machine Learning & Computer Vision: Experience with models such as MediaPipe, YOLO, OpenCV, TensorFlow.js, PyTorch, with a focus on face/body tracking and image segmentation.
Real-Time AR Development: In-depth knowledge of performance optimisation for AR applications, latency management, and real-time rendering.
WebGL & 3D Interactive Development: Proficiency in WebGL, Three.js, Babylon.js for 3D visualisation.
Frontend & Web Development: Strong expertise in JavaScript, TypeScript, WebAssembly, HTML5, WebRTC.
Cloud & Infrastructure: Experience with Google Cloud, Firebase, AWS, including solutions for real-time data streaming.
Experience with ARKit, ARCore, and depth-sensing technologies.
Knowledge of occlusion, realistic lighting, and integrating 3D models into real-time AR environments.
Experience in optimising ML models for execution on mobile devices and web browsers.
Holds a strong background in AI, Computer Vision, or AR, with at least 2+ years of experience in real-time ML/AR development.
Has hands-on experience in interactive applications based on WebGL and AI-driven AR.
Can optimise performance and manage latency in AR experiences.
Is curious and passionate about emerging AR, ML, and 3D rendering technologies.
Work on groundbreaking AR projects with a global impact.
Flexible work arrangements: remote, hybrid, or on-site.
Competitive salary, based on experience.
Professional growth opportunities, including training and certifications.
Access to cutting-edge technology, latest-generation hardware, and advanced tools.
Company welfare policies, including health and wellness benefits.
Necessary work devices, other tools required for your role.
Professional development support, including opportunities for training, certifications, and attending industry conferences.
Remote | Hybrid | In-office
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