The data-scientist is the new web-developer.
How does it work in practice? Let's say I just published a major conference paper. Where do I apply for my million dollar job? Who do I reach out to?
Sadly, you're really only worth what you can convince another person to believe you're worth. But then the USA is suffering through someone convincing an electoral majority of Americans he was the best and only choice to lead the country and that's just working out splendidly right?
But I've learned that money isn't everything the hard way. However, if you're whining about being underpaid, there's something you can do about it. There are plenty of solid reasons not to however especially if you enjoy your current gig and they're paying you sufficiently that you have a promising future. Money truly isn't everything.
I also know because the day I left academia myself long ago was a major payday for me. Finally, I know because people like Andrei Karpathy pulled it off because of his excellent communication skills, intelligence and the right background. And people like Mu Li pulled it off by associating themselves with an academic who who helped found AWS AI and in his case he landed a principal engineering position straight out of school. That's the sort of position one usually only gets after one to two decades of job experience.
Can we just agree to disagree here?
Only reason they sell out is because both presenters and researchers who need to keep up with the field try getting tickets.
Also he's likely going to end up in jail because of what happened with that Uber fiasco.
https://www.latimes.com/business/story/2019-08-27/ex-google-...
That said, my exiting salary at some companies was dramatically higher than my salary when I joined because the stock had appreciated and so had my compensation. And if someone wants to hire me away that's the compensation they have to deal with, not my initial comp.
Anyway this is all a digression away from the fact that you are wildly misrepresenting salaries. You're also ignoring the two companies he sold to Google as part of his compensation. If you're interested you should google a bit about 510 Systems because the history is actually interesting, especially with the added knowledge of the founder becoming a total scumbag.
If you publish a major conference paper, 7 figures is pretty easy to attain. You don't have to be in the 0.001% just the top 5%. That's hard work but it's doable.
The only thing that's remotely fungible in AI is python-based data scientists who can do little more than port new data to existing models open sourced on GitHub. And even then they do pretty well because of the huge demand.
I don't see that changing anytime soon. I believe expecting automated systems to replace data scientists is the same level of naivete as believing we'd reach L5 autonomy in a few years in 2014.
Anthony Lewandowski was making 120 million dollars a year when he left Waymo. If you're an AI expert in the valley and you're not making at least $500k, you are one job hop away from doing so if you play your cards remotely right.