My first real technical step was an ML coding interview. I had to implement a standard machine-learning algorithm with numpy and explain core ML fundamentals. The prompt was not obscure, but its details were tricky enough to test whether I understood basics rather than only buzzwords.
It felt easy overall because the subject was fundamental and the scope was clear. Still, I had to be precise with implementation details and use the underlying concepts correctly.
I did not receive an offer. My takeaway was that I could handle the level of difficulty, but the differentiator was careful standard ML coding, not trying to do anything fancy.
Location: Palo Alto, CA. Overall feedback: Positive. Offer status: no offer.
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