It’s impossible to get ML engineering roles unless you went to an Ivy, Stanford, MIT, Berkeley or CMU. Change my mind

likesmart
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I flunked out of college and am in a ML role

likehelpful

I can think of a few college dropouts who were pretty damn successful….

The job market is worst now. May be that's one reason

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I think this is the reason

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I went to Michigan.

likesmarthelpful

Go blue!

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It’s about proof of usefulness l. No public facing portfolio, no brand name FAANG or at least a tier 2 consulting group would be some factors that make it harder, not impossible

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I’m a high school drop out, pretty sure I’ll nail it without a degree. I started tech a year ago

likefunny

Start your own thing with your ML skills the collect stacks of investment cash from the people who can send their kids to top tier schools.

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Do you work at Google and you're finding it hard to get ML roles within Google? If you don't have an extensive ML portfolio maybe that's the issue.

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Sounds like that’s the problem… you d done some course work and research but you have no practical experience. Try and get some at G by moving around internally to put it on your resume and then move

likesmart

My friend majored in AI/ML but not from an Ivy. He wasn’t able to get a job with that profile at FAANGs right out of grad school, and instead they would only offer SWE roles. So he took a pay hit by accepting AI roles at two start ups consecutively for three years, built experience and then got into Google for an ML profile.

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If that is your worry, just do a 2 week cert from one of those types of universities to get past the filter. If your logic holds, my entire career has been carried by doing a CUDA summer course at Oxford in 2013.

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At FAANG, I’m sure it’s more difficult. I work in a ML engineering role and I went to a no name college in Louisiana. I landed the role via internal mobility - I essentially got poached by a leader in the, then growing, Data Science org after showing promise while supporting some of their projects (and also indicating that my desire was to work in the Data Science field). Background was as a DevOps / Cloud Engineer, although I had done a lot of self study in Data Science / ML (this was maybe a year and a half before everything became “AI” focused as opposed to straight “ML”) and was able to prove that I deserved the role via several interviews.

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Plenty of people from my university went into ML, so no, far from impossible.

Nobody in any of the companies I've worked for cared about the school I went to or my degree. Relevant experience matters much more.

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That must mean there are very few ML jobs available or they are not being filled. That is a pretty small candidate pool at the end of the day.

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