Use deep learning to create new solutions and enhance existing applications. Push the state-of-the-art and develop intellectual property. Mentor interns on novel research problems. Publish papers in top-tier conferences and journals. Transfer technology to product groups and draft patent applications. Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions. Ph.D. in computer science or similar, with a focus on deep learning. Experience in AI applied to audio and/or video is a requirement. Technical knowledge and experience in generative modeling for audio (music, speech, sfx) or video. Strong publication record, with publications in top-tier domain specific conferences (CVPR, ICCV, ECCV, ICASSP, ISMIR), and/or machine learning conferences (e.g., NeurIPS, ICLR, ICML). Deep knowledge about current machine learning literature. Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch) Ability to envision new technologies and turn them into innovative products. Creativity Good communication skills.
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