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I've never seen hiring completely in the domain of HR. HR filters incoming candidates and checks for culture fit etc, but technical competency is checked by engineers/ML folks. I can't imagine an HR person checking if someone understands neural networks.

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HR involvement is unavoidable at big companies; and basics like "years of experience for payband" can cause issues. They fundamentally do not understand the job, but somehow have to ensure its not a biased hiring process.

Yes, and it is kind of necessary when hiring people from outside trusted networks. HR makes sure if people are who they say they are, background checks, and so on. Years of experience and so on are crude filters and should be bypassable by the team/hiring manager if the candidate meets the requirements. I know in large companies this can become political.

The big issue with the implementations I have seen is because HR aims to minimise the number of checks they do, so they can appear efficient.

So most aim to do as much resume filtering as they can first, then short calls, then background checks.

And the filtering and the call are areas where domain knowledge is relevant.

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