Adobe·Machine Learning Engineer

Adobe Machine Learning Engineer interview experience

No offer

Medium

Positive

San Jose, CAPosted Apr 2024 · Candidate report, summarized by Dataford

My round started with presenting my research work in detail, and then it turned into a QA back-and-forth where I had to answer questions tied to my research choices.

The interviewer dug into specifics like the model and problem definition, and also asked about publications.

After that research discussion, I moved into a coding portion with a medium-level LeetCode problem. The way the interview moved felt like it wanted to test both depth—whether I could explain my work clearly—and execution in a standard algorithmic format.

By the end, I felt like I was evaluated on substance rather than just getting through a single topic, and the coding part made it clear they expected comfort with practical implementation too.

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