*3D Machine Learning Engineer**\nEuropean Tech Recruit are working closely with a market leading 3D scanning company, based in Bressanone, who are looking for a talented\n*3D Machine Learning Engineer**\nto join their team.\nIn this role you will join a company that leverage state-of-the-art in Computer Vision and Machine Learning to scan highest quality, relightable 3D models of objects and products at scale.\nTheir 3D scanners are used globally by customers such as Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Salomon, Quad, and other leading brands, content creation studios, and technology companies to mass produce tens of thousands of 3D assets per year.\nYou will work with neural inverse rendering to push our client's 3D scanning technology to the next level.\nResponsibilities as\n*3D Machine Learning Engineer**\n:\nDrive the development of algorithms and models for relightable 3D reconstruction as well as 3D and material understandingDevelop innovative solutions to add physical priors into AI models and neural inverse rendering techniques for appearance and geometryImplement clean, maintainable, and efficient code that can go into productionCollaborate daily with the team of software engineers, machine learning experts, system developers, and researchers and actively propose solutionsInteract with a global client base, such as Meta, adidas, Inditex Group and Quad, to collect requirements and feedback that guides development\nRequirements\nMaster's degree in computer science or related field required3+ years of work experience, preferably in a dep-tech start-upStrong programming skills (Python, C++, or similar)Proven track record in the area Neural Inverse Rendering (e.g. NeRF, gaussian splatting, material decomposition)Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and differentiable rendering frameworksAbility to work on complex problems and contribute to innovative solutions\nDesirable Experience\nExperience with image processing, computer graphics, and classical CV/ML techniquesExperience with Generative AI models for 3DExperience with CUDAExperience with TensorRT and MLOps best practicesSfM, multi-view geometry, structured light, point cloud and mesh processing\nIf this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.\nBy applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/).*