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Design and implement data-to-symbol converters for various modalities with extreme sparsity, while benchmarking against state-of-the-art ML models. The ideal candidate must have a PhD in Electrical Engineering, Computer Science, or related fields, with 1 year of experience in ML model compression, multimodal feature extraction, and Python coding. This role is within Intel Labs, offering competitive compensation and benefits, with the possibility of fully remote or hybrid work arrangements, depending on business needs.
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