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Open Data Science

Remote Low-Level Engineer: Kernel & Inference Optimization

san francisco, CA

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Job description

A cutting-edge AI company is looking for Low-Level Engineers to design RL environments that optimize kernel development and systems programming. Candidates should have strong Python skills and a solid understanding of LLMs. This remote contractor role offers an hourly rate ranging from $90 to $125, based on expertise. Applicants will contribute to the creation of feedback loops for model training across various architectures. A minimum of 4 hours overlap with PST and proficiency in advanced English is mandatory.

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Worksite address

san francisco, CA, 94199, US

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