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by sangnoir
1390 days ago
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> Sure, but then you are hiring less skilled talent that is probably incapable of working on pricing and matching algorithms This sounds like a variation of the just world fallacy to me: in a just world, talented folk who solve hard problems get paid more, and the less talented ones - who are unable to solve hairy problems - get paid less. In such a world, you can identify the talented ones by how much they are earning. Yet in the real world, geography, and luck/ability to bootstrap to HCOL areas plays a huge part > Also, a quick look at levels.fyi says salary at IBM (i.e. your median salary dev) for a senior is 192k. I think you're underestimating how wide the gap is between the bimodal peaks. $192 is too high[2] still; it slots just below Senior executive average ($200k) and right above EM ($180k) in the 2022 StackOverflow salary survey[1] for the US 1. https://survey.stackoverflow.co/2022/#work-salary 2. the survey doesn't distinguish between junior & senior engineers, but I'm guessing even the seniors earn less than CxO's. |
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In any case, even if you go by the data in your survey, a machine learning specialist is supposed to make 150k and a mobile developer 144k. Those are still a lot more than 70-80k.
> Yet in the real world, geography, and luck/ability to bootstrap to HCOL areas plays a huge part
Considering the bar to get into a FAANG is just 4-5 leetcode medium-hard questions, I think there is little gatekeeping happening. This isn't investment banking where if you don't go to an Ivy you can't get in. And there are a lot more firms than FAANG paying big salaries.
> I think you're underestimating how wide the gap is between the bimodal peaks
IBM is your quintessential example of a consulting bodyshop. If anything, they would be at the lower bimodal peak, not the higher one.