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The Machine Learning Job Market

evjang.com

21–30 of 276 posts

Re: The Machine Learning Job Market

#23

You forgot to write that crypto startups compete with publicly traded FAANG on compensation on both cash and non-cash compensation, and there is no liquidity issue whatsoever on the non-cash they pay you with. Vesting schedules are more competitive than FAANG. And the publicly traded crypto companies compete with FAANG on compensation too. Non-crypto startups are the only ones sitting in the doldrums left out to dry…

This doesn't sound quite right to me; Coinbase pays well, but looking at levels.fyi it's not FAANG money; is there someone else you have in mind? Would love to hear more about the startups; I tend to turn down such opportunities far before we talk non-cash comp.

Levels fyi shows its FAANG money at all levels I have it listed alongside Google and Amazon and Facebook right now, what did you compare that seemed different? (They’re not reporting consistent 7 figures for any of them) did you see something more granular?

Outside of publicly traded crypto companies you need to talk to a third party recruiter in that space

Solana Labs, for example, one of many, was paying engineers $650,000 back in 2019-2020 (and still is) to mostly write in Rust. Compensation was ~$200k cash and $1.6-$2 million in Solana tokens vesting 3-4 years with 1 year cliff. Solana tokens were $.10 cents back then, so those engineers are sitting on like $100 million+ as Solana trades at $100/sol now, down from $250/sol.

For more typical results, companies that pay in crypto only have a few employees so giving them all a few million dollars in their much smaller less successful crypto still results in being able to liquidate close to the notional value they started with, derisking your time and coming out ahead in general. A “tiny” crypto is still like a $30 million marketcap. Even the $300 million marketcap ones are considered tiny. Market depth / liquidity is usually enough to support a few million dollars of periodic employee sell pressure.

Re: The Machine Learning Job Market

#25

> The most important deciding factor for me was whether the company has some kind of technological edge years ahead of its competitors. A friend on Google’s logging team tells me he’s not interested in smaller companies because they are so technologically far behind Google’s planetary-scale infra that they haven’t even begun to fathom the problems that Google is solving now, much less finish solving the problems that…

On the other hand, there’s a lot of real problems that real people actually deal with that just need a logistic regression to save million bucks here and there. I like that space more.

This space isn't sexy to write about, there's no fame and glory in it.

Re: The Machine Learning Job Market

#26
"FAANG+similar : Low 7 figures compensation (staff level), technological lead on compute (~10 yr)"

I don't know where OP is getting these figures from, but I doubt that FAANGs offer 7-figure comps to Staff-level people. It's probably more in the higher 6-figure level (400K - 600K).

Re: The Machine Learning Job Market

#27
post #12

I was expecting something along the lines of how AI/ML was considered a sexy career path, but there are very few jobs available and high competition for those jobs. So, as a result, you end up with the only available jobs as data engineering/ML ops/backend that supports ML teams. I am happy for this author and their success, but they clearly are not representative of the majority of the people in the ML job market.

I think I have a decent CV, with quite a bit of experience for a master's student. I have been searching for a job in MLE, for a bit now with very little to show for it, as I am either getting no responses, or responses claiming that they are looking for more experienced people, and particularly those that had experience with a particular stack. In all honesty, after 6 years of studying, with 4 of those years studyin…

I have been in a similar position with NLP - either you already have a lot of experience (maybe even a PhD) or you're a mathematician or statistician. Otherwise you're left out.

Re: The Machine Learning Job Market

#28
post #12

I was expecting something along the lines of how AI/ML was considered a sexy career path, but there are very few jobs available and high competition for those jobs. So, as a result, you end up with the only available jobs as data engineering/ML ops/backend that supports ML teams. I am happy for this author and their success, but they clearly are not representative of the majority of the people in the ML job market.

I think I have a decent CV, with quite a bit of experience for a master's student. I have been searching for a job in MLE, for a bit now with very little to show for it, as I am either getting no responses, or responses claiming that they are looking for more experienced people, and particularly those that had experience with a particular stack. In all honesty, after 6 years of studying, with 4 of those years studyin…

where are you located?

Re: The Machine Learning Job Market

#30

Earlier quoted context omitted.

I think I have a decent CV, with quite a bit of experience for a master's student. I have been searching for a job in MLE, for a bit now with very little to show for it, as I am either getting no responses, or responses claiming that they are looking for more experienced people, and particularly those that had experience with a particular stack. In all honesty, after 6 years of studying, with 4 of those years studyin…

where are you located?

Europe. I am open to relocating pretty much anywhere in Western Europe or Scandinavia so my horizons are pretty open.
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