I have been doing ML engineering professionally for the 6 years and have been involved in about one hiring round per year for the last 4. If you filter resumes

I have been doing ML engineering professionally for the 6 years and have been involved in about one hiring round per year for the last 4. If you filter resumes down to “has at least 1 year of professional experience on a deployed ML product”, then you’re lucky to have one resume out of 100, and that’s after HR has had their crack at the applicant pool. We still have to hire people who don’t really have much actual professional ML experience (which imo is fine). We invite literally anyone who has shipped ML code professionally for interviews, and we get ghosted a quarter of the time. It’s not like we pay below market either, it’s just that the demographic of people who already know what they’re doing can still afford to be really picky.