In the field of artificial intelligence and machine learning, a significant trend has emerged. Between 15% and 40% of applicants for machine learning engineer (MLE) roles possess PhDs. This statistic is drawn from observations of applicant profiles on LinkedIn Premium. Additionally, in large organizations, many leads and managers in these fields also hold PhDs. This prevalence of PhD holders raises questions about the existence of an unspoken glass ceiling for professionals without a PhD in AI/ML. This concern extends beyond research and applied scientist positions to include roles such as ML engineers and regular data scientists. The data suggests a potential preference for PhD holders in the industry, which could impact career progression for those with lower academic qualifications.
Rachael Jefferson, PhD
@3dancingfeet
·
18h When a Sub Dean job says the “ESSENTIAL criteria are to have a PhD and significant scholarship”… and yet the person eventually employed has neither? Really?
#promotion #academia #inequity
Sanya Jain – Your Grad Coach
@yourgradcoach
·
Apr 2 Getting rejected from PhDs?
Your documents are getting ignored before anyone reads them.
Let me explain with brutal honesty.
You wrote a decent SoP.
You formatted a clean CV.
You rehearsed answers for “Why this program?”
Still, you’re ghosted. Or worse, rejected.
And it hurts.
Dr Mehmood
@en_conversion
·
Mar 30 One thing I’ve noticed while transitioning from academia to industry is that many PhD students feel like their hands are tied. Universities train us to be exceptional researchers, but they don’t teach us how to showcase our skills to industry employers.
We spend years tackling
Evil (Political) Scientist
@knrd_z
·
Mar 31 When you look at academia, remember that at this point its members are negatively selected–on intelligence, ambition, agency, ingenuity, etc.–conditional on having a PhD, and historically speaking it’s not very difficult to get a PhD these days
alz
@alz_zyd_
·
Feb 7 It’s not clear the PhD is valued in labor markets as a signal of intelligence, rather than a signal of relative independence and ability to grind for below minimum wage for 5 years
Mark Beef
@ExpertsLie
·
Apr 1 Tech guys were the first to obviate it. For 30 years credentials meant almost nothing to us. PhD or a HS dropout were equally likely to pass a practical interview provided they passed initial phone screen. Masters degree holders less likely than previously mentioned categories.
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