Interesting that Tesla gets its own row in the pro/con table while the faangs get lumped together.
If Musk is to be believed their Teslabot is going to be in a class by itself.
The Machine Learning Job Market
41–50 of 276 posts
Re: The Machine Learning Job Market
#42[deleted]
Re: The Machine Learning Job Market
#43"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).
600k is a senior engineers wage
Re: The Machine Learning Job Market
#44Earlier quoted context omitted.
As someone who is in a somewhat similar position as the author (looking for senior ML roles), I found this part enjoyable: > I’m not like one of those kids that gets into all the Ivy League schools at once and gets to pick whatever they want. Followed by "FAANG + similar" and a deluge of options. Also, I feel like their message is pretty liberal with using future projections and implying it to be the present. For ins…
It's ambitious bordering on delusional. They're also doing the dirty trick of putting "2016 - 2022 Senior Research Scientist at Robotics at Google" on their resume even though they've been in the senior position only since 2020. Like, dude, you're doing great, your resume doesn't need any more artificial pumping up. Or I guess it does if you're aiming for those positions that are kind of out of reach.
I don't think that is unusual to list the latest level on a resume. I'm certainly not going to dedicate space on a resume to list time ranges for every promotion.
Re: The Machine Learning Job Market
#45AGI, AGI, AGI, AGI, AGI, AGI...
https://images.squarespace-cdn.com/content/v1/5de799b06bb59b...
Re: The Machine Learning Job Market
#46Earlier quoted context omitted.
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.
Funny enough, my experience is NLP and DeepRL.
Your best chance might be to apply at small companies. They often have data and want to take advantage of it but haven't so far. Of course they're not doing any research or are Google, Amazon, etc. but hey.
Re: The Machine Learning Job Market
#47- This really isn't representative of the ML job market because the author is such an outlier. - The fact that it isn't representative is what makes the article an interesting read. - The fact that they claim to have a plan for solving AGI in 20 years really detracts from their credibility.
As someone who is in a somewhat similar position as the author (looking for senior ML roles), I found this part enjoyable: > I’m not like one of those kids that gets into all the Ivy League schools at once and gets to pick whatever they want. Followed by "FAANG + similar" and a deluge of options. Also, I feel like their message is pretty liberal with using future projections and implying it to be the present. For ins…
These outliers are rare but they do exist.
I knew someone at Google who was hired as L3 straight out of college (as all non-PhDs are) and got promoted once a year to L6 (Staff) so 3 years. He got promoted to L7 2 years after that.
It's a rare combination of talent and the right circumstances but it does happen.
Re: The Machine Learning Job Market
#48Earlier quoted context omitted.
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…
so you are saying there's a chance these solana engineers are sitting on a billion in crypto?
Re: The Machine Learning Job Market
#49"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).
looking at levels.fyi it seems there are at least several companies paying 7 figures to ML engineers with less than 10 years experience, although majority are at 15+
https://www.levels.fyi/Salaries/Software-Engineer/Machine-Le...
Re: The Machine Learning Job Market
#50Interesting that Tesla gets its own row in the pro/con table while the faangs get lumped together.
Why is this interesting? Tesla is... not a FAANG company?
Not only is there no 'T' in FAANG, but the industry/product is completely different.
Or maybe the author just wanted to make a joke about coffee. Who knows.