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We are seeking domain expertise specifically in 3D Generative AI and Inverse Rendering. Relevant topics include Neural Fields, Implicit 3D Representations, NeRFs, Differentiable Rendering/Simulation, and Physically Based Rendering (PBR) Materials. We expect strong expertise at the intersection of Computer Graphics, Computer Vision, and Deep Learning. An inclination towards Generative AI, such as GANs, VQ-VAE/GAN, and Diffusion Models, is essential. Additionally, experience in application-specific domains such as 2D/3D Virtual Try-on, Neural Avatars, Parametric Body Models, and Differentiable Rendering/Simulation will be highly advantageous.Key job responsibilities
- Explore, collect, and process data
- Design and build automated, scalable pipelines to train and deploy ML models
- 5+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 4+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
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