In the process, they are limiting the number of professors who can teach the technology. specialists available, big tech companies are also hiring the best and brightest of academia. Using the same mathematical techniques, researchers are improving self-driving cars and developing hospital services that can identify illness and disease in medical scans, digital assistants that can not only recognize spoken words but understand them, automated stock-trading systems and robots that pick up objects they’ve never seen before. “It is hard to compete with that, especially if you are one of the smaller companies,” said Jessica Cataneo, an executive recruiter at the tech recruiting firm CyberCoders. Last year, according to the company’s recently released annual financial accounts in Britain, the lab’s “staff costs” as it expanded to 400 employees totaled $138 million. lab called DeepMind, acquired by Google for a reported $650 million in 2014, when it employed about 50 people, illustrate the issue. “They are anxious to ensure that they’ve got this small cohort of people” who can work on this technology.Ĭosts at an A.I. “What we’re seeing is not necessarily good for society, but it is rational behavior by these companies,” said Andrew Moore, the dean of computer science at Carnegie Mellon University, who previously worked at Google. In the entire world, fewer than 10,000 people have the skills necessary to tackle serious artificial intelligence research, according to Element AI, an independent lab in Montreal. problems is not like building the flavor-of-the-month smartphone app. Most of all, there is a shortage of talent, and the big companies are trying to land as much of it as they can. All of them requested anonymity because they did not want to damage their professional prospects. specialists, including both Ph.D.s fresh out of school and people with less education and just a few years of experience, can be paid from $300,000 to $500,000 a year or more in salary and company stock, according to nine people who work for major tech companies or have entertained job offers from them. As they chase this future, they are doling out salaries that are startling even in an industry that has never been shy about lavishing a fortune on its top talent. Tech’s biggest companies are placing huge bets on artificial intelligence, banking on things ranging from face-scanning smartphones and conversational coffee-table gadgets to computerized health care and autonomous vehicles. Now the tech industry’s race to embrace artificial intelligence may render that advantage moot - at least for the few prospective employees who know a lot about A.I. SAN FRANCISCO - Silicon Valley’s start-ups have always had a recruiting advantage over the industry’s giants: Take a chance on us and we’ll give you an ownership stake that could make you rich if the company is successful.
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