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verifiable outcomes, such as mathematics, code, tool-use, and reasoning. Develop reward modeling, reward calibration and verifier-based training. Generate and validate synthetic or gym training tasks. Run
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this new hybrid network. Your code will directly enable the next generation of energy-efficient AI clusters. Project scope You will bridge the gap between custom optical hardware and standard AI software
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methodological expertise. Contact details for three professional references. Optional but encouraged: links to code repositories, analysis pipelines, experimental software, technical projects or other outputs
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