Submission + - Intel Execs Address the AI Talent Shortage, AI Education, and the "Cool" Factor (ieee.org)
Tekla Perry writes: Those stories about astronomical salaries for AI engineers? They're pretty much on target, say Intel's VP of AI Architecture and Intel's head of AI Talent Acquisition. But there's a reason for that. Says Gadi Singer: "The state of the art in deep learning in 2016 is called ‘legacy’ by 2018. So, people who have the ability to continuously learn and be on or ahead of this fast-moving frontier of deep learning are obviously very valuable."
And academia can't educate engineers fast enough, says Chris Rice: "A lot of the research is actually being conducted in industry because of that fast innovation cycle, so industry is actually hiring a lot of professors out of academia. That’s a confounding issue: industry is moving to pull more people out of academia at a faster rate than it can produce them.”
On the bright side--all this attention is making formerly "dull" fields "cool," and that will eventually increase supply. Singer and Rice also address engineer retention, and the importance of a diverse workforce in reducing algorithm bias.
And academia can't educate engineers fast enough, says Chris Rice: "A lot of the research is actually being conducted in industry because of that fast innovation cycle, so industry is actually hiring a lot of professors out of academia. That’s a confounding issue: industry is moving to pull more people out of academia at a faster rate than it can produce them.”
On the bright side--all this attention is making formerly "dull" fields "cool," and that will eventually increase supply. Singer and Rice also address engineer retention, and the importance of a diverse workforce in reducing algorithm bias.