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I'd argue that: a) You don't need really good unless you're doing cutting edge work at massive scales. There's lots of deep learning talent floating around tha
by marcinzm 6y ago
I'd argue that:
a) You don't need really good unless you're doing cutting edge work at massive scales. There's lots of deep learning talent floating around that is good but not aligned with the FAANG interview process.
b) If you interview process is a clone of FAANG then, well, you're not going to have a good time. See previous point and also you probably don't need a FAANG interview process unless you're at FAANG scale.
c) If the company has other issues then, again, you're not going to have a good time but that's not due to how much you're paying but everything else.
- astrange 6y agoFAANG doesn’t have a single interview process - it’s pretty different at Apple Netflix Google as far as I know. Are there shared features they’re thought to have?
- marcinzm 6y agoWhen I interviewed at all the local big tech companies the interviews were fairly similar down to asking identical questions sometimes. Very heavy on leetcode, some system design and a single behavioral interview. Generally looking for the same things in each interview across companies. They weren't identical but much much closer to each other than the interviews I got from startups.