Applied Machine Learning Research Scientist mock interview

Что будет проверяться

Adapts and optimizes large language and vision models for efficient training and inference on Cerebras systems, researching architectures, sparsity, and numerical techniques that exploit wafer-scale compute. Publishes and partners with engineering to bring research into the production model stack. A technical interview would probe transformer internals, training-at-scale tradeoffs (parallelism, memory, precision), and the math behind an optimization or sparsity method you would propose.

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