Scale·Machine Learning Engineer

Scale Machine Learning Engineer interview experience

No offer

Medium

Negative

San Francisco, CAPosted Sep 2025 · Candidate report, summarized by Dataford

My interview felt harder emotionally than it was technically, even though I did manage to solve coding questions correctly.

The ML/AI assessment covered the typical breadth—ML algorithms, data preprocessing, model training and evaluation, along with coding in Python and deeper deep learning and problem-solving. What threw me off was how subjective the process felt, and how much the decision-making seemed to depend on more than just whether the solution worked.

I felt like there was a bias in how feedback landed, and even when my coding was correct, the discussion shifted toward suggestions that seemed designed to eliminate me. I ended up not moving forward, and the honest part of my reflection was that I couldn’t

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