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What you’ll be doing:
Invent or apply deep learning techniques to the field of 3D or 4D content creation (photogrammetry, generative AI).
Work on improving realism and immersive qualities of VR environments and interactions, including creating content with AI techniques, intelligent characters, and behavior of crowds and traffic.
Participate in projects to conduct Deep Learning research and publish papers to well known conferences (ex. CVPR, NeurIPS)
Product-oriented research for deep learning technology in Games, Virtual Reality, and other applications.
What we need to see:
Currently pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering,Math/Physics/Statisticsor a related field
Minimum 1 course on theories and practices of machine learning, including common machine learning frameworks
Domain expertise to drive new research at the intersection of machine learning and visual computing, in domains including video modeling, 3D re=construction, computer vision, generative AI, robotics, creative tools, geometry processing, human motion, and more
Ways to stand out from the crowd:
In-depth knowledge of the theory and practice of machine learning
Minimum 1 strong publication record (SIGGRAPH, NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc).
Knowledge of common machine learning frameworks such as PyTorch, JAX, Warp, CUDA
You will also be eligible for Intern
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