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Design an ML Feature Store is a hard system design interview question covering machine learning, data pipelines, low-latency serving, batch vs streaming — the kind asked at FAANG (Facebook/Meta, Apple, Amazon, Netflix, Google) and AI-first companies like Anthropic, OpenAI, and Nvidia.
Design a feature store for machine learning. Teams should be able to register, compute, store, and retrieve features for both model training and low-latency online inference.
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A full interview loop is more than one round. These are the others, each with what is on the site for it.