Generative 3D AI 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
We are searching for a Generative 3D AI Engineer with expertise in neural rendering and generative models to push the limits of what’s possible in 3D generation. You’ll work at the intersection of machine learning, 3D reconstruction, and generative AI, helping us create the next generation of virtual environments and objects.
Your work will involve developing and optimizing our generative 3D pipeline, creating robust solutions for complex geometries and materials, and collaborating closely with our talented international team.

Development of generative 3D pipeline

• Develop and enhance our generative 3D pipelines, focusing on neural 3D reconstruction of objects and generation of scenes.
• Innovate on generative AI techniques to create realistic, relightable 3D models from limited data inputs, including handling challenging topologies (e.g., transparent and reflective surfaces).
• Write efficient, production-ready code that scales across our infrastructure.

Collaboration and Interaction

• Collaborate with cross-functional teams of engineers, researchers, and system specialists to turn ideas into solutions.
• Engage with high-profile clients (e.g., Meta, adidas, Inditex) to gather feedback and requirements that guide our generative product development.

Qualifications:

• PhD degree in Computer Science, AI, or a related field.
• 3+ years of experience in a related field, preferably in deep tech or generative AI.
• Strong programming skills in Python, C++, or similar.
• Experience with generative AI techniques applied to 3D model and scene generation.
• Expertise in neural rendering technologies (e.g., NeRF, material decomposition, generative 3D models).
• Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proven ability to tackle complex problems with innovative AI-driven solutions.

Nice to have:

• Experience with image processing, computer graphics, and classical CV/ML techniques.
• Experience with CUDA, TensorRT , and high-performance computing for AI workflows.
• SfM, multi-view geometry, structured light, point cloud and mesh processing.