So a tiny handful of top performers - plausibly few enough that you could fit them all on a schoolbus - in an ultra-hot technical field are raking in huge sums, for the moment.
Unless you are a top professor at an R1 research university or have a PhD from an R1 university studying under the other top minds in the field or are otherwise in the most elite fraction of the profession, it doesn't sound like this is particularly useful information for the average practicing or aspiring data-tician. What's the typical salary for someone with, say, a two-year professional masters?
$300k. I work at Google, have a few good papers, and a couple years of professional experience, and dropped out of grad school. TBH not really clear that I'm doing much better than peers without ML expertise.
Google is still the top of the field. Many people go entire careers without publishing a paper. You are probably smarter than average and get paid accordingly.
I make 220k salary and 480k total comp as a staff software engineer (not in AI) - so this really could be either a higher performing staff engineer (salary) or a average performing senior (total comp)
And I frowned at the downvotes for the other comments. Friends, why do we turn into insecure conservative bullies when it comes to femininity? Why accept the implicit normalizing and othering of last century's favorite pronouns?
I've almost done my masters - I finished all the courses, but did not submit my graduate thesis in time - so I have what we call "absolutorium", i.e. finished the program without pursuing a degree. The other day, a friend from my alma mater wanted me to come and do a semester of programming classes as an "industry consultant". It was all arranged properly and I was getting ready with my lectures when, few weeks before I was supposed to give the first one, I became a political point in inter-faculty negotiations. People from one of the other faculties argued it's disrespectful to allow someone with mere BSc to teach students. Ultimately, my faculty had to let me go.
So yeah, that's the kind of bullshit that having an academic title may help you navigate. Whether or not it is worth the effort to get one is arguable, though.
To be honest, the academic field is about the only field in which it perfectly makes sense to finish a degree, I mean, what else can you boast with if you have none?
The other three reasons are visa (proof of "ability"), wanting to work in government (if you really, really want that) or early-stage startups that need Ivy-League credentials for their investors, because they don't have anything else to offer.
Other than that, as a software engineer in the private industry, nobody will care about any of your degrees.
Well, I care, to some extent. Like many other things, it can be used as a filter. At the least, lacking other demonstrable evidence (such as open source or industry experience which can be confirmed by referrals), a finished master or PhD shows that someone is able to finish a non-trivial project.
I have a friend who's been in grad school a decade (although to be fair he had to take several breaks for family issues - so let's say 7-8 years).
I don't think he's published a paper as a first author. He's about to now, but his advisor is not happy with it and has made it clear his work on that paper is not sufficient. His advisor is sending all sorts of signals that he has given up on him - he often ignores his emails for requests to meet, etc. And he's expressed displeasure about his progress several times. The University will require his advisor's signature every semester because he has gone beyond the university's deadlines for a PhD.
He's a very smart guy and is good at software (his PhD is not CS, though). He can get a good job with a decent (or even top) company. He is almost 40 years old. Oh, and on top of all that, given how his research is going, there's a good chance no one will hire him for his research work even if he gets a PhD.
I asked him "Why not quit and get a job?"
Him: "Man, I put so much time into it and I'll feel all that time would have gone to waste. And please don't talk to me about sunk cost!"
Me: "Did you every consider that you will finish the PhD, and then end up asking yourself why you wasted so much time pursuing it?"
I've been in his shoes, and I quit my PhD as well (although spent a few years less than he did in school). Then I went to industry and saw the types of jobs I would have gotten if I had completed. Although they paid better, I would have hated those jobs. As for the time I spent in grad school? How could it possibly be a waste? I went because I had a passion for the topic, and I learned a lot while there. You don't lose all that knowledge and experience when you quit.
In a hypothetical universe, I could've done a stats/cs double major in undergrad and dropped out of grad school after a year or two to go into data science, but in the real universe, data science wasn't a thing anyone in south louisiana had heard of in 2005, so I needed 10 years of phd+postdoc to find my way to it.
If you drop out of grad school is there a way to prove you were ever actually even in grad school? Or can anyone say they were in grad school but just didn’t finish?
There is something I see on LinkedIn from people I happen to know never graduated: they list the years they were at university and their subject. It’s not technically lying, and most people never notice.
that makes sense, just be weird if you dont finish your masters to have you bachelor, then a few years of nothing, and then your first job. I'd put the master course there too, but perhaps include a note that you didn't graduate?
I’m pretty close to just listing that I was a Stanford graduate and seeing how it affects my LinkedIn profile. Seems like no one would really bother to check anything anyway.
You have to actually be good at it, but I'm not famous, and I make over seven figures annually as an AI researcher at one of the big companies.
True talent is extremely rare as well as lucrative. That said, I'm glad I turned down openAI's offer of only $200K. Yikes. Ilya is better than I am, but not 10x better.
They say that OpenAI are forced to disclose the salaries. Does anyone have a link to the source, to the document with the disclosed salaries? I'd be curious to see the range.
Yeah I make 100k and live in Los Angeles sometimes I can't eat food I work remote so my coworkers outside cifornia don't have it too bad. But despite 30 years of experience I'm hardly worth enough to this society to let me eat food or have a roof over my head. 100k is about average for LA but at one point I had a job that paid me only 45k with no benefits demanding I generate a sentiment analysis system I literally had to stop eating to make my rent on that low pay. But in LA engineers are treated like worse than dogs, we have no social currency and if you work for an LA company they expect 140 hours for 40 hours pay far below market average.
You should be able to get more but it would probably require moving to Riot, Snap or Google. You would want multiple offers etc... I would go the personal network approach if possible with 30 years experience.
Unless you are a top professor at an R1 research university or have a PhD from an R1 university studying under the other top minds in the field or are otherwise in the most elite fraction of the profession, it doesn't sound like this is particularly useful information for the average practicing or aspiring data-tician. What's the typical salary for someone with, say, a two-year professional masters?