Description
You will be a part of a small team with the goal of crafting accurate and hyper-realistic 3D experiences at a global scale. To achieve this, you will help developing novel groundbreaking methods within differentiable rendering (NeRF, Gaussian Splatting, etc.), generative models, and many other areas of computer vision and machine learning.
Minimum Qualifications
Strong background in Computer Vision and Machine Learning. Significant experience in researching and developing innovative approaches within Computer Vision and Machine Learning. Solid programming skills. Masters degree Computer Vision / Machine Learning / AI / Computer science / Electrical Engineering or related field + 2 years experience
Preferred Qualifications
Published papers in top-tier CV/ML conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, Siggraph, etc.). Solid experience with deep learning frameworks and infrastructure. Experience with modern differentiable rendering methods, such as NeRF, Gaussian Splatting etc., is appreciated. Experience with diffusion models or similar is appreciated. Knowledge of computer graphics fundamentals is appreciated. Solid Python skills. Some experience with C/C++. Some experience with GPU/graphics languages, such as CUDA, OpenGL or Metal, is a plus. PhD degree in Computer Vision / Machine Learning / AI / Computer science / Electrical Engineering or related field
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