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The Machine Learning Job Market

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Re: The Machine Learning Job Market

#31

Post by PartiallyTyped »

dunefox wrote: post #27
PartiallyTyped wrote: post #19

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…

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.

Re: The Machine Learning Job Market

#32

Post by nbardy »

PartiallyTyped wrote: post #19
SCUSKU wrote: 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…

Start building projects on your own with the most common tooling. Having something to show cuts down barriers.

Re: The Machine Learning Job Market

#33

Post by mola »

PartiallyTyped wrote: post #19
SCUSKU wrote: 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 suspect they are looking for experienced ppl because they don't have one and don't exactly know how to manage ML and what to do with it and hope someone else will come and show them.

Re: The Machine Learning Job Market

#34

Post by [deleted] »

awinter-py wrote: post #10

> 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…

[deleted]

Re: The Machine Learning Job Market

#35

Post by digitallyfree »

1024core wrote: post #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).

I'd be interested in a credible source for this as well, even though ML work pays more. From what I know from people in the industry it's 6 not 7 figures.

Re: The Machine Learning Job Market

#36

Post by htrp »

PartiallyTyped wrote: post #19
SCUSKU wrote: 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…

You have to be doing something wrong or applying for the wrong types of jobs (lots of MLE jobs are just glorified dba jobs at certain job companies).

Re: The Machine Learning Job Market

#38

Post by ccmonnett »

melling wrote: post #9
spupe wrote: post #4

A lot of opinions and unverifiable statements (this and this company is X years ahead of everyone), and the whole piece is essentially about one person's job market. Skip

I’m interested in understanding the ML job market for traditional software developers. Does the opportunity exist to transition into any particular ML roles then grow from there?

Especially if you have Python experience, then yes the opportunity definitely exists.

For example when I hire MLEs (which I am doing now if anyone wants to apply - supportlogic.io) I am willing to look at people who are solid Python/backend engineers and who have been "ML adjacent" or who we believe could learn the ropes of ML enough to contribute. The stronger an engineer, the more flexibility we have in ML knowledge. Some ML engineering is task-specific but a lot of it is automation, data engineering, and improving data scientist code (for which you do need ML experience

I've found it's a lot easier to teach an engineer enough DS/ML fundamentals to do ML Engineering than it is to teach a data scientist engineering skills. A lot easier...

Re: The Machine Learning Job Market

#39

Post by htrp »

awinter-py wrote: post #10

> 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…

>G's logging system, from my perspective as a gcp user, is slow as balls and the UX is the incarnation of scroll jank

does GCP use G's internal tools?

Inquiring minds would like to know

Re: The Machine Learning Job Market

#40

Post by georgeburdell »

SCUSKU wrote: 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.

That was my pre-conception as well. I know some people who have tried to switch from other engineering to ML/AI, some taking as much as a year off work, and the only successful ones already had a network in the Bay Area from their previous associations (prestigious university/employer).
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