Covision Media is a leading 3D scanning company that leverages cutting-edge Computer Vision and Machine Learning to capture high-quality, relightable 3D models of objects and products at scale.
We serve top brands, content creation studios, and technology companies globally, including Meta, adidas, NUREG, Inditex (ZARA, Massimo Dutti, etc.), Gucci, Salomon, Quad, and others. Our team of engineers is dedicated to innovation and excellence.
About the Role
We are seeking a highly skilled Generative 3D AI Engineer with expertise in neural rendering and generative models to push the boundaries of what's possible in 3D generation.
Main Responsibilities
* 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: Create realistic, relightable 3D models from limited data inputs, including handling challenging topologies (e.g., transparent and reflective surfaces).
* Write efficient code: Write production-ready code that scales across our infrastructure.
Collaboration and Interaction
* Collaborate with cross-functional teams: Work with engineers, researchers, and system specialists to turn ideas into solutions.
* Engage with clients: Interact with high-profile clients (e.g., Meta, adidas, Inditex) to gather feedback and requirements that guide our generative product development.
Qualifications
* Ph.D. degree in Computer Science, AI, or 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., Tensor Flow, PyTorch).
Benefits
* Competitive salary package including stock-options.
* Amazing office space in the Dolomites located at the Durst Group.
* Personal and professional growth opportunities.
* Flexible working hours and work-from-home policy for 1 day/week.
* Learning and Development: Participate in CVML, AI, startup conferences globally.