3D Machine Learning Engineer

We are partnered with a leading 3D scanning company in the world. They leverage state-of-the-art in Computer Vision and Machine Learning to scan highest quality, relightable 3D models of objects and products at scale.

Their 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.

Position Overview
3D reconstruction of objects and products is challenging, especially for reflective or transparent surfaces and complex object topologies. We are looking for a 3D machine learning engineer in the field of neural inverse rendering to push our 3D scanning technology to the next level.

Development of 3D reconstruction pipeline

• 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.

Collaboration and Interaction

• Collaborate daily with our team of software engineers, machine learning experts, system developers, and researchers and actively propose solutions.
• Interact with our global client base, such as Meta, adidas, Inditex Group and Quad, to collect requirements and feedback that guide our developments.
   

Qualifications:

• Master’s degree in computer science or related field required
• 3+ 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., TensorFlow, PyTorch) and differentiable rendering frameworks
• Ability to work on complex problems and contribute to innovative solutions.

Nice to have:

• Experience with image processing, computer graphics, and classical CV/ML techniques
• Experience with Generative AI models for 3D
• Experience with CUDA
• Experience with TensorRT and MLOps best practices
• SfM, multi-view geometry, structured light, point cloud and mesh processing