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Google and other large tech giants have been working on precisely that sort of AI with those types of data for at least 10 years now. They are famous for tinker
by stopads 7y ago
Google and other large tech giants have been working on precisely that sort of AI with those types of data for at least 10 years now. They are famous for tinkering with their hiring process based on mountains of data, with mostly bad results.
Which aspect do you find farfetched?
- xiphias2 7y agoAt Google machine learning was was always used for vetting the 100k+ applications per year that the HR team just doesn't have time to go through. The main goal was to filter people who have the biggest chance to go through the human interviews later in the process. The only reason why it's called ,,AI'' now is because it's trendy. It can be just a simple linear model that takes education (University) and GPA score into account. The simplest way to skip these filters is to get a reference from a person who already works at the company.
- chrisseaton 7y agoI wonder why ultra-elite companies like Google don't swap to a model where they reach out to people they want to hire, rather than accepting random applications?
- orbifold 7y agoThey reach out to people regularly based on their GitHub profile for example.
- thaumasiotes 7y agoThey do reach out to people they want to urge to apply; the set of people they "want to hire" is pretty small.
- glandium 7y agoThey reach out to people, but those people end up in the same bucket as everyone else.
- pja 7y agoGoogle employees a team of recruiters to do exactly this.
- chrisseaton 7y agoI know - I meant why do they also have an open mailbox for millions of people not remotely qualified (I presume) to spam into, creating this problem for themselves. If you’re at the level of working for Google you’re presumably already at the absolute top of your field internationally and will know people at Google you can reach out to personally.
- detaro 7y agoGoogle hires tons of people fresh out of university, they're not going to be "at the absolute top of their field" or well-connected. (they do seem to hire previous interns a lot, but that moves the filter having to handle the flood to people applying for internships instead)
- xiphias2 7y agoThere was a specific class action law suit about it actually: a no poach agreement between top big tech companies, to keep salaries lower. After the law suit my salary was increased 10% at Google, although I didn’t even work in US :)
- chrisseaton 7y agoI think no-poach applied the same weather you applied or they reached out to you, so it’s not that.
- Gh0stRAT 7y agoPeople who reach out to them are probably cheaper than people that Google has to reach out to.
- AlexCoventry 7y agoThey do. Google's been asking me to interview with them multiple times a year for almost a decade.
- alasdair_ 7y ago> I wonder why ultra-elite companies like Google don't swap to a model where they reach out to people they want to hire, rather than accepting random applications? This is exactly what happens. Most experienced engineers I know with a good resume get emails almost weekly from Google and Amazon in particular.
- deleted 7y ago[deleted]
- bradleyjg 7y agoI don't buy that the training set is any good.
- mistrial9 7y agoconfirm that at least one UC Berkeley affiliated PR was paid quite a lot of money to do exactly this kind of work for several years, that was five years ago at least.. they did not use bombastic terms to describe the project, evoking the authority aspect, instead they used language that signaled "finding hidden talent"
- AlexCoventry 7y agoI think they were saying the claimed performance of the interview-processing software has got to be fake, not that the article must be. I read it the same way as you at first,though.