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Design and implement data-to-symbol converters for extreme sparsity across various modalities, benchmarking against state-of-the-art ML models. Required qualifications include pursuing 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. The role is with Intel Labs, offering competitive compensation and benefits, with opportunities for remote work or a hybrid model.
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