The stats bear this out, but you can usually pivot to something better, especially if you have the skillset and drive to continuously up your skillset and find parts of industry that are in demand. It’s the companies where you learn nothing where you stagnate.
I doubt there’ll be a shortage of ML jobs in the next few years, unless somehow the AI industry completely collapses somehow.
This makes a lot of sense to me. The stats basically say that "if you start out underemployed, you stay underemployed for a long time", but my guess is the causation isn't necessarily as it's implied (or, indeed, as I implied it in my first comment).
That is, I think it's likely that a lot of people who start out unemployed are just comparatively less motivated, less aggressive, "go-with-the-flow"-type people. These folks do better when the market is good and worse when it's bad. But, as you put it, someone with a lot of drive and the skillset is not necessarily doomed to be held back for years if their first job sucks, as long as they set their sights on getting ahead quickly and don't let their stagnant environment rub off on them.
> The advice in this article was to hold out as long as possible for a desirable job, which meant a ton of networking, taking internships if possible, and also possibly additional schooling.
Emphasis on the next actions to take.
Being in a graduating cohort affords you certain opportunities -- internships, career fairs, faculty-connected networking.
Post-graduation, and especially post-college, people don't have these same opportunities.
Fwiw, I'd lean very heavily into interning. Take an internship at the best company you can, that's likely to have solid financials and be hiring when you finish the internship.
Intern -> hire is a ridiculous cheat code for your first "in industry" job.
The employer decreases the risk of making a mistake on an unproven new grad. You get a job offer if you do enough solid work. Win/win.
Worst case (no job offer), you should push really hard for a solid recommendation letter from your direct or second level manager.
Completely agree on internships. I really think universities that have an integrated co-op program, like Northeastern or Drexel, are much better for the significant majority of students than just a "standard" liberal arts or even an engineering degree.
I doubt there’ll be a shortage of ML jobs in the next few years, unless somehow the AI industry completely collapses somehow.