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J Miller

@inthehands

Good thread!

This is all made even harder by the fact that applicants are simultaneously adopting LLMs. This reduces the effort needed to apply, resulting in larger applicant pools with different signals. Heck, the applicants will start to get advised to change softball to baseball. And in the pantheon of resume lies, that’s trivial.

But this shift by applicants also means I can’t entirely blame companies for trying some machine learning.

3 comments
J Miller

@inthehands

I worked in HR at a large tech company when applying online first became a thing (early 2000s). They were getting a million applications a year, many requiring visa sponsorship where that would not be feasible. I’m not sure what numbers are like now. Legally, there was a change in the definition of an applicant. But a million per year was a big change for them, requiring a whole staff of contractors to scan and do data entry of resumes. This feels similar.

axoplasm

@JMMaok @inthehands this so much! We spent the last year trying to hire for a senior position and eventually just gave up. 1000+ applications, barely 10 worth interviewing

This is for an IT position at a nonprofit, not a tech co. A human reads *every* application

axoplasm

@inthehands @JMMaok …and talking to the recruiters this is not (yet) happening for non-tech positions at the org

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