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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 'scien
by 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 agoThat $1m offer refers to Andrej Karpathy. He's the Jeff Dean of Machine Learning these days.
- emcq 10y agoThey 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 agoNot 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.