Must have: Practical experience in research of AI models, e.g. transformers, diffusion models, VAE/GAN. Real passion and experience in AI generative area Ph.D. in a related area, e.g. Computer Vision, Computer Graphics, VR/AR/MR. Relevant experience to the position such as post-doctoral roles, a proven track record of publications from conferences e.g. Siggraph, ICCV, CVPR, ECCV, AAAI, NIPS. Experience with machine learning or deep learning models, such as CNNs, RNNs and GANs. Familiarity with computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow. Masters or PhD degree in computer science, electrical engineering, computer engineering, mathematics or other related field Minimum 4 years of hands-on experience in research, engineering, or research & development Proficiency in Python and C++ Minimum 4 years of experience with computer vision techniques such as object recognition, segmentation, classification, and tracking.
