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Yes, it's pretty clear that humans were overfitting to their interview objective function: comp-sci algo problems. For companies with such strong ML background
by aeternum 4y ago
Yes, it's pretty clear that humans were overfitting to their interview objective function: comp-sci algo problems.
For companies with such strong ML backgrounds, in addition to the sheer amount of content dedicated to discussing and solving tech interview questions hosted on their own platform, one would think they would have noticed earlier.
- Ensorceled 4y ago> Yes, it's pretty clear that humans were overfitting to their interview objective function: comp-sci algo problems. Worse, it's often over-fitted to memorized specific solutions to esoteric comp-sci algo problems. So you end up with a bunch of, admittedly smart, developers who all have the spare time to memorize an entire suite of algo problems and solutions. Some of those developers are going to have copious amounts of spare time while working at your organization as well.
- borroka 4y agoThere is a human component to consider: in the case of a change in the interview process, with the new process perceived as easier than the past and current ones, I imagine the bitter protests from the currently employed engineers who would vocally complain that the quality of new hires is much worse than it used to be, and that they have had to pass much more stringent interviews than the new ones, which even a junior SWE employed in an unnamed company would be able to pass.