7 ms·

I really wish that sites like these would branch out to more employers beyond just the FAANGs because the number of jobs in AI/ML at these employers is just a s

I really wish that sites like these would branch out to more employers beyond just the FAANGs because the number of jobs in AI/ML at these employers is just a small fraction of what we see in the larger industry. You can prove that to yourself by just looking at LinkedIn. I think if we had a truly representative sampling of all people working with "AI/ML" related titles, we'd see that the the true total comp distribution is much lower, and probably just slightly better than a typical software engineer's total comp with a similar amount of experience.

PragmaticPulp 6y ago
The reality is that FAANG-type companies are the only companies large enough to pay these salaries and with enough hires to keep it anonymous. These sites are also heavy on selection bias. If someone arrives at this site with a $150K AI salary, they're not going to go to the trouble of submitting it and getting it accepted. Instead, they're going to start updating their resume and browsing job sites while they seek these higher salaries.
- woeirua 6y ago
  I don't know... Glassdoor's system seems to work pretty well for collecting this kind of data. Sure the number of reported salaries is maybe too small to say anything specific about individual companies, but in aggregate places like Glassdoor and LinkedIn could probably tell us with high certainty what the distribution looks like.
  - compthrowaway 6y ago
    In a world where (A) compensation is typically mostly in the form of liquid equity grants and (B) compensation amounts change rapidly year-on-year, Glassdoor's system vastly understates compensation in the field.
    - woeirua 6y ago
      But you have to recognize that this system is very atypical outside of FAANGs. Most large companies have very modest stock incentive programs.
      - MiroF 6y ago
        > FAANGs Do we just use FAANGs to mean every West coast software company? Because otherwise it is very typical of non-FAANGs as well.
- throw9872349872 6y ago
  Just some anecdata, I’m in ml not in faang and make more than the top end of the survey in the OP. If I were to give some guidance, I’d suggest skipping on faang as they top out where they top out, and go downstream to smaller public companies who are growing and where you can deliver real value. Companies like snapchat doubled in 1 year, square doubled in 1 year, etc etc. If you’re already joining a trillion dollar company you need to enter as a leader to earn the top end. You’ll never see these stats because 1) you don’t gain anything from sharing and 2) it’s easy to find who you are at smaller companies.
  - gcheong 6y ago
    I'm curious to know how you got into ML? Did you go the degree route? PhD? I'm guessing that's where the top end of the salary range goes to but would be interested to know your personal path and if you have any advice on how to start.
    - throw9872349872 6y ago
      PhD. From what I found, the most successful people are the ones that marry the technical with the business and consistently deliver value. So it’s not talk/hype, but real value and competitive advantage and ability to communicate and effectuate change.
      - stainforth 6y ago
        And how does one deliver value, in detail?
  - alexjray 6y ago
    Spot on
  - 3pt14159 6y ago
    I have this issue talking to people on HN all the time. Fundamentally it boils down to this: The people making mid six digits or higher don't want to share exactly how much they make because there is very little upside, and people vote based on their own perspective of "what's true" which slants towards average. The other thing that I don't like is the money-worship around here. I don't want someone else to feel bad that they're "only" making $120k a year. I want more people to help their communities and get involved with our democracies to help craft better legislation to protect ourselves from an ever more technological world. It really, really doesn't matter what type of car you drive. But I've noticed something over the years: The people that go out of their way to give back never hurt for money. Doesn't work both ways (I know plenty of wealthy people that are self-centred) but if you give back it's a happier, more fulfilled life and as a side bonus you get a lot of intros with great upside.
Zaheer 6y ago
Co-founder of Levels.fyi here - it's not so much that these sites solely support FAANG companies, it's just harder to get other people to add their salaries. We're working to encourage folks at other companies to contribute through dedicated company pages [1], etc. It's had a real impact and we've started to collect much more data across more companies / roles. We're also working to incentivize contributions more and I do think we'll be in a position to have a more representative sample over the next few months. [1] https://www.levels.fyi/company/ https://www.levels.fyi/company/
- giantg2 6y ago
  I like this site. It's also depressing. I see that new hires at my company are making substantially more than I was at that level, even accounting for inflation.
  - lotsofpulp 6y ago
    If you’re on the seller of labor side of the transaction, you should be happy labor is selling for more. Typically if new hires are getting paid more, then experience people will be getting paid more too.
    - giantg2 6y ago
      In general that would be true. The problem for me is that it requires switching companies. I'm not able to do that since I naively did the jobs I was assigned. Now I'm a Neoxam and FileNet resource with zero prospects.
    - etothepii 6y ago
      This does likely require some action on your side to achieve though. Typically, no-one will come and give you that 50% you are missing out on by not having pushed for an extra 4.1% every year for 10 years.
      - giantg2 6y ago
        Based on what I've seen, one probably has to switch companies.
etothepii 6y ago
We're trying to solve the salary sharing problem more generally with https://peerwyse.com https://peerwyse.com by having you submit estimates of the salaries of your LinkedIn connections and then sharing back the aggregated view. If you bring a few colleagues from the same locality / industry your estimates of mutual connections can be astonishingly insightful without anyone needing to break the taboo of revealing their own compensation information.
langitbiru 6y ago
That's the goal of my project: PredictSalary (https://predictsalary.com https://predictsalary.com) The goal of my project is to predict the salary range from job opportunities (and Linkedin profiles in the future) using Deep Learning method (and ad-hoc rules). My plan is to cover countries outside US as well.
alexjray 6y ago
My thoughts exactly.

PragmaticPulp 6y ago

The reality is that FAANG-type companies are the only companies large enough to pay these salaries and with enough hires to keep it anonymous. These sites are also heavy on selection bias. If someone arrives at this site with a $150K AI salary, they're not going to go to the trouble of submitting it and getting it accepted. Instead, they're going to start updating their resume and browsing job sites while they seek these higher salaries.

woeirua 6y ago
I don't know... Glassdoor's system seems to work pretty well for collecting this kind of data. Sure the number of reported salaries is maybe too small to say anything specific about individual companies, but in aggregate places like Glassdoor and LinkedIn could probably tell us with high certainty what the distribution looks like.
- compthrowaway 6y ago
  In a world where (A) compensation is typically mostly in the form of liquid equity grants and (B) compensation amounts change rapidly year-on-year, Glassdoor's system vastly understates compensation in the field.
  - woeirua 6y ago
    But you have to recognize that this system is very atypical outside of FAANGs. Most large companies have very modest stock incentive programs.
    - MiroF 6y ago
      > FAANGs Do we just use FAANGs to mean every West coast software company? Because otherwise it is very typical of non-FAANGs as well.
throw9872349872 6y ago
Just some anecdata, I’m in ml not in faang and make more than the top end of the survey in the OP. If I were to give some guidance, I’d suggest skipping on faang as they top out where they top out, and go downstream to smaller public companies who are growing and where you can deliver real value. Companies like snapchat doubled in 1 year, square doubled in 1 year, etc etc. If you’re already joining a trillion dollar company you need to enter as a leader to earn the top end. You’ll never see these stats because 1) you don’t gain anything from sharing and 2) it’s easy to find who you are at smaller companies.
- gcheong 6y ago
  I'm curious to know how you got into ML? Did you go the degree route? PhD? I'm guessing that's where the top end of the salary range goes to but would be interested to know your personal path and if you have any advice on how to start.
  - throw9872349872 6y ago
    PhD. From what I found, the most successful people are the ones that marry the technical with the business and consistently deliver value. So it’s not talk/hype, but real value and competitive advantage and ability to communicate and effectuate change.
    - stainforth 6y ago
      And how does one deliver value, in detail?
- alexjray 6y ago
  Spot on
- 3pt14159 6y ago
  I have this issue talking to people on HN all the time. Fundamentally it boils down to this: The people making mid six digits or higher don't want to share exactly how much they make because there is very little upside, and people vote based on their own perspective of "what's true" which slants towards average. The other thing that I don't like is the money-worship around here. I don't want someone else to feel bad that they're "only" making $120k a year. I want more people to help their communities and get involved with our democracies to help craft better legislation to protect ourselves from an ever more technological world. It really, really doesn't matter what type of car you drive. But I've noticed something over the years: The people that go out of their way to give back never hurt for money. Doesn't work both ways (I know plenty of wealthy people that are self-centred) but if you give back it's a happier, more fulfilled life and as a side bonus you get a lot of intros with great upside.

Zaheer 6y ago

Co-founder of Levels.fyi here - it's not so much that these sites solely support FAANG companies, it's just harder to get other people to add their salaries. We're working to encourage folks at other companies to contribute through dedicated company pages [1], etc. It's had a real impact and we've started to collect much more data across more companies / roles. We're also working to incentivize contributions more and I do think we'll be in a position to have a more representative sample over the next few months. [1] https://www.levels.fyi/company/ https://www.levels.fyi/company/

giantg2 6y ago
I like this site. It's also depressing. I see that new hires at my company are making substantially more than I was at that level, even accounting for inflation.
- lotsofpulp 6y ago
  If you’re on the seller of labor side of the transaction, you should be happy labor is selling for more. Typically if new hires are getting paid more, then experience people will be getting paid more too.
  - giantg2 6y ago
    In general that would be true. The problem for me is that it requires switching companies. I'm not able to do that since I naively did the jobs I was assigned. Now I'm a Neoxam and FileNet resource with zero prospects.
  - etothepii 6y ago
    This does likely require some action on your side to achieve though. Typically, no-one will come and give you that 50% you are missing out on by not having pushed for an extra 4.1% every year for 10 years.
    - giantg2 6y ago
      Based on what I've seen, one probably has to switch companies.

etothepii 6y ago

We're trying to solve the salary sharing problem more generally with https://peerwyse.com https://peerwyse.com by having you submit estimates of the salaries of your LinkedIn connections and then sharing back the aggregated view. If you bring a few colleagues from the same locality / industry your estimates of mutual connections can be astonishingly insightful without anyone needing to break the taboo of revealing their own compensation information.

langitbiru 6y ago

That's the goal of my project: PredictSalary (https://predictsalary.com https://predictsalary.com) The goal of my project is to predict the salary range from job opportunities (and Linkedin profiles in the future) using Deep Learning method (and ad-hoc rules). My plan is to cover countries outside US as well.

alexjray 6y ago

My thoughts exactly.