We're looking for a Machine Learning Intern with a strong background in deep learning and hands-on experience in audio and speech processing. This role is aimed at PhD students or exceptionally strong Master's students who want to gain hands-on industry and startup experience working on real-world audio machine learning systems. * You are a PhD student or an exceptionally strong Master's student, with demonstrated research experience and publications in relevant venues (e.g. NeurIPS, ICML, ICLR, Interspeech, ICASSP, WASPAA, ASRU, or related workshops and journals). * Hands-on experience applying machine learning to audio and speech, with prior work on speech enhancement, source separation, ASR, TTS, speaker-related tasks, or closely related audio ML problems. * High Impact: Groundbreaking startup at a pivotal growth stage, making a real difference in how people experience audio.
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