ML Configuration System

Requirements This interview is one of roughly four to six options available on the research track, alongside Coding & Design, ML Programming, Prompting & Engineering with LLMs, RL Fundamentals, and the ML Take-Home. You should be prepared to: Propose a configuration format that allows composition through mixins or inheritance, supports overrides supplied through a CLI or API, and validates values against a schema. Explain how a training job can be reproduced from a frozen…