Adobe·Machine Learning Engineer

Adobe Machine Learning Engineer interview experience

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Candidate report, summarized by Dataford

During my interview, I talked through two projects from my resume with an interviewer who had a light accent.

The conversation mixed in ML concepts throughout, and it focused on how ground truth for recommendations is obtained, what evaluation metrics are used, and what practical applications could come out of one of my research efforts.

We also covered basics that still matter—like what batch normalization is—and then shifted into how large language models are fine-tuned. I remember getting a question about a machine learning framework I hadn’t worked with before, which threw me off for a bit because I had to reason on the fly.

For the coding part, I was given a problem about an array of candy

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