ML Infrastructure Engineer — Scale Generative Models

A leading technology company in Cupertino, California, is seeking a ML Infrastructure Engineer to design and optimize the systems that power large-scale model training. The ideal candidate will have strong software engineering fundamentals and experience with distributed training. Responsibilities include building and maintaining infrastructure, optimizing training performance, and collaborating with ML teams. The base pay range for this role is between $181,100 and $272,100 annually, along with comprehensive benefits and opportunities for stock participation.

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