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I am curious about demand for this skill in the market. But I just don't see it - machine/statistical/deep learning gigs just seem really rare. I know this is

by tom_b 10y ago

I am curious about demand for this skill in the market. But I just don't see it - machine/statistical/deep learning gigs just seem really rare. I know this isn't a great metric, but searches on Indeed.com: "deep learning" - 873 "machine learning" - 9,762 "statistical learning" - 65 java - 72,802 javascript - 43,785 Same searches on LinkedIn: "deep learning" - 646 "machine learning" - 6,952 "statistical learning" - 34 java - 43,845 javascript - 30,818 Even the "machine learning" search on Indeed, with 9K+ results has 1300+ from Amazon, followed by a much smaller number (in low hundreds each) from Microsoft, Google, others (including some that look like staffing companies). Even on HN's who's hiring Sept 2016 thread phrase counts: 14 "deep learning" 79 "machine learning" I completely agree with the idea that being able to use some deep/machine/statistical learning is going to be a toolset that data hackers need to have. I even think that there is a bit of the "build it and they will come" magic waiting out there. But I think the best way forward is to be working in data and figure out how to generate value with deep learning - this will be much more productive than trying to seek out a deep learning gig in terms of promoting deep learning in the workplace. Heck, that's a suggestion I would be wise to take myself . . .

bduerst 10y ago
Maybe a better metric would be growth of these jobs over time? It could be that demand for deep learning jobs is growing faster than ML jobs, or vice versa.
throw_away_777 10y ago
What did you search to get your numbers? Here is a graph of something similar: http://www.indeed.com/jobtrends/q-%22Data-Scientist%22-q-%22machine-learning%22-q-%22deep-learning%22-q-%22Data-analyst%22-q-%22software-engineer%22-q-%22developer%22.html http://www.indeed.com/jobtrends/q-%22Data-Scientist%22-q-%22... There is definitely more demand for data science than deep learning, and much more demand for software engineering or development than data science. Of course the supply also matters, there are many more software engineers than data scientists. But still, deep learning is a niche skill.
phlyingpenguin 10y ago
Though they are not representative of the whole, if there's 1 ML job for every ~10 java/javascript jobs (are those really related?), that doesn't sound too bad to me as far as demand for ML. Many of those other jobs are probably not senior level jobs, and every ML job will be.
- kranner 10y ago
  How do you figure every Machine Learning job will be senior-level?
intrasight 10y ago
The best metric is the salary that the position can command.
arimorcos 10y ago
You can't only look at demand. You also have to look at supply. Most machine learning engineers have a masters at least (many have a PhD), and almost all 'scientist' positions require a PhD. Of course there are fewer deep learning jobs available than front-end developers. That doesn't mean they're not highly coveted. As an example, one of Fei-Fei Lee's recent grad students got multiple job offers upon graduating, one for more than a million dollars a year: http://www.nytimes.com/2016/03/26/technology/the-race-is-on-to-control-artificial-intelligence-and-techs-future.html?_r=0 http://www.nytimes.com/2016/03/26/technology/the-race-is-on-...
- jamesblonde 10y ago
  That $1m offer refers to Andrej Karpathy. He's the Jeff Dean of Machine Learning these days.
  - emcq 10y ago
    They are certainly great within their fields, but one thing Kaparthy is particularly good at is social media. While in grad school he was quite active both on HN, Reddit, and Twitter. He had fantastic blog posts that made difficult subjects seem comprehensible. Perhaps it's just part of being part of a younger generation, but Jeff Dean doesn't share that feature.
- threeseed 10y ago
  Not sure where you are referring to but in most places of the world data scientists/engineers don't have nor require a PhD. And more so recently with their being quite a significant demand for them in enterprises looking to establish big data analytics programs.

by tom_b 10y ago

bduerst 10y ago

Maybe a better metric would be growth of these jobs over time? It could be that demand for deep learning jobs is growing faster than ML jobs, or vice versa.

throw_away_777 10y ago

What did you search to get your numbers? Here is a graph of something similar: http://www.indeed.com/jobtrends/q-%22Data-Scientist%22-q-%22machine-learning%22-q-%22deep-learning%22-q-%22Data-analyst%22-q-%22software-engineer%22-q-%22developer%22.html http://www.indeed.com/jobtrends/q-%22Data-Scientist%22-q-%22... There is definitely more demand for data science than deep learning, and much more demand for software engineering or development than data science. Of course the supply also matters, there are many more software engineers than data scientists. But still, deep learning is a niche skill.

phlyingpenguin 10y ago

Though they are not representative of the whole, if there's 1 ML job for every ~10 java/javascript jobs (are those really related?), that doesn't sound too bad to me as far as demand for ML. Many of those other jobs are probably not senior level jobs, and every ML job will be.

kranner 10y ago
How do you figure every Machine Learning job will be senior-level?

intrasight 10y ago

The best metric is the salary that the position can command.

arimorcos 10y ago

You can't only look at demand. You also have to look at supply. Most machine learning engineers have a masters at least (many have a PhD), and almost all 'scientist' positions require a PhD. Of course there are fewer deep learning jobs available than front-end developers. That doesn't mean they're not highly coveted. As an example, one of Fei-Fei Lee's recent grad students got multiple job offers upon graduating, one for more than a million dollars a year: http://www.nytimes.com/2016/03/26/technology/the-race-is-on-to-control-artificial-intelligence-and-techs-future.html?_r=0 http://www.nytimes.com/2016/03/26/technology/the-race-is-on-...

jamesblonde 10y ago
That $1m offer refers to Andrej Karpathy. He's the Jeff Dean of Machine Learning these days.
- emcq 10y ago
  They are certainly great within their fields, but one thing Kaparthy is particularly good at is social media. While in grad school he was quite active both on HN, Reddit, and Twitter. He had fantastic blog posts that made difficult subjects seem comprehensible. Perhaps it's just part of being part of a younger generation, but Jeff Dean doesn't share that feature.
threeseed 10y ago
Not sure where you are referring to but in most places of the world data scientists/engineers don't have nor require a PhD. And more so recently with their being quite a significant demand for them in enterprises looking to establish big data analytics programs.