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3D Machine Learning Engineer

Job in 39042, Bressanone, Trentino-Alto Adige, Italy
Listing for: European Tech Recruit
Full Time position
Listed on 2026-01-09
Job specializations:
  • Engineering
    AI Engineer
Job Description & How to Apply Below
Location: Bressanone

Principal Consultant | Software Engineering, AI & CV/ML, Semiconductors & Electronics3D Machine Learning Engineer European Tech Recruit are working closely with a market leading 3D scanning company, based in Bressanone, who are looking for a talented 3D Machine Learning Engineer to join their  this role you will join a company that leverages state-of-the-art in Computer Vision and Machine Learning to scan highest quality, relightable 3D models of objects and products ir 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.

You will work with neural inverse rendering to push our client's 3D scanning technology to the next level.

Responsibilities as 3D Machine Learning Engineer:

Drive the development of algorithms and models for relightable 3D reconstruction as well as 3D and material understanding

Develop innovative solutions to add physical priors into AI models and neural inverse rendering techniques for appearance and geometry

Implement clean, maintainable, and efficient code that can go into production

Collaborate daily with the team of software engineers, machine learning experts, system developers, and researchers and actively propose solutions

Interact with a global client base, such as Meta, adidas, Inditex Group and Quad, to collect requirements and feedback that guides development

Requirements:

Master's degree in computer science or related field required3+ years of work experience, preferably in a deep-tech start-up Strong 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., Tensor Flow, PyTorch) and differentiable rendering frameworks

Ability to work on complex problems and contribute to innovative solutions

Experience with image processing, computer graphics, and classical CV/ML techniques

Experience with Generative AI models for 3DExperience with CUDAExperience with Tensor

RT and MLOps best practices

SfM, multi-view geometry, structured light, point cloud and mesh processing

If this role is of any interest please apply directly on Linked In or send a copy of your CV to  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 ().
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