Scale·Machine Learning Engineer

Scale Machine Learning Engineer interview experience

Got offer

Hard

Positive

San Francisco, CAPosted Dec 2023 · Candidate report, summarized by Dataford

My path started with a take-home coding challenge, then I moved into a technical phone screen, and after that there were onsite sessions.

The onsite portion was split into several distinct rounds, and the mix of topics made the day feel like a full simulation rather than a single topic exam.

One of the coding segments was built around an LLM question-answering workflow: I had to extract relevant information from JSON files in a directory and generate training data in CSV form. There was also a debugging component where I was asked to find hidden bugs that showed up as errors, using tracebacks as the signal to locate the underlying issues. Alongside that, there was another coding round framed more like classic

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