Applied Scientist - Neural Rendering/Compositing
Santa Monica, CA 90401
Flawless AI
Flawless is pioneering the generative AI revolution in filmmaking with cinematic quality, AI-driven tools for filmmakers, entertainment companies and distributors“The most talked about AI company in Hollywood”
Flawless is shattering the boundaries of traditional filmmaking with its groundbreaking suite of Gen AI film editing tools. Our mission is to empower filmmakers with cutting-edge technology that allows creativity without compromise, expands storytelling possibilities, and delivers unparalleled visual and emotional experiences. Flawless is looking for a Applied Scientist - Neural Rendering/Compositing. You will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a part in shaping the future of a company that’s caring, creative, and collaborative.
As an Applied Scientist on the neural rendering and compositing team at Flawless, you will work with a close-knit, passionate group of world-class researchers tackling some of the most challenging problems in Deep Learning including multi-modal image synthesis, audio-visual data fusion, and application of some of the most exciting works in generative AI. Our work in automated visual translation is just the beginning, we’re developing countless exciting products based on the application of our proprietary, cornerstone research. This is an unbelievable opportunity to join a team operating at the cutting edge of the generative revolution, don't hesitate to reach out today.
Minimum Qualifications
- MS or Ph.D. in Visual Computing, Computer Vision, or related field
- Practical experience with neural rendering applied to human digitization
- 3+ years of proven industry or research experience with deep learning and computer vision in two or more of the following: Computational Photography (mandatory) e.g. inpainting, blur, grain, color-space-based modeling, camera models/optics
- Domain adaptation techniques for image face synthesis/editing/restoration
- Un-supervised, self-supervised, few/zero-shot learning applied to image synthesis/editing/restoration problems
- Familiar with 3D Computer Vision problems, e.g, 3D reconstruction & modeling
- 3+ years of experience in Python with proficiency in deep learning frameworks such as PyTorch or Tensorflow
Preferred Qualifications
- Experience with generative models (e.g. GAN and diffusion models), preferably for human synthesis
- Experience in volumetric neural rendering e.g. NeRFs and Gaussian Splatting
- Experience in differentiable rendering frameworks such as Pytorch3D, Mitsuba, etc.
- Publications n venues such as Siggraph, Eurographics, ICCV, CVPR, ECCV etc.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: 3D Reconstruction Computer Vision Deep Learning Diffusion models Generative AI Generative modeling Mitsuba NeRFs Python PyTorch PyTorch3D Research TensorFlow
Perks/benefits: Career development
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