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Lead the transition of a subvocal sensing system from lab prototype to a wearable product, owning mixed-signal electronics, FPGA/embedded integration, and the full manufacturing path in San Francisco.
We are looking for someone to own the question at the center of Subvocal: what can we physically measure from the human body that contains enough information to recover internal articulation? The broader technical…
The Founding Machine Learning Engineer will lead the development of models to decode physiological signals into continuous language, focusing on generalization and real-time performance. The role involves working with Python, PyTorch, and CUDA to build robust sequence models for noisy time-series data.
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Y Combinator