"The Python talent gap is 300,000, the salary is high enough to have no friends", "the real 0 basic entrance, 90 days to get to high salary", accompanied by the fiery heat of artificial intelligence, artificial intelligence short-term training classes are also prosperous, 20,000 or 30,000 training Fees, consulting applicants are in a constant stream, and high salary is the most attractive slogan, and these institutions have placed their salary in the most prominent position without exception.
In the past year, because of the rapid outbreak of the artificial intelligence industry, the huge talent gap has pushed the industry's talent compensation to an astounding level. How to retain and manage talents behind the talents has become a new challenge.
From the graduating student to the technical big cow
"The annual salary of the doctoral field in the field of artificial intelligence is about 500,000, and the master's degree is from 250,000 to 350,000. This salary level is equivalent to the salary of ordinary post engineers with 2~3 years of work experience." Co-founder of fluent theory of artificial intelligence enterprises Dr. Lin Hui, the chief scientist, revealed to the First Financial News that in October this year, the company launched the school recruitment for the first time, and successfully recruited more than a dozen graduates from Tsinghua University, Peking University, Fudan University, etc., and these are from the Department of Computer Science and Mathematics. Students majoring in statistics and statistics often hold multiple offers before they graduate.
The 2017 Internet Quasi-Unicorn Salary Report released by IDG Capital shows that the senior position in the artificial intelligence industry is 55% higher than the overall level, 90% is higher in the intermediate position, and 110% in the junior position. The talent-driven war for talents is on the verge of a hit, and the competition for talent in the existing market has become hot.
"If you know that a person is a doctor, and you are thinking about a neural network, you are basically destined to do research for a lifetime, because he can never do it." Dr. Fang Mu, the future robot CTO, mentioned what people often said five years ago. A joke, Fang Mu is a bachelor's degree from Zhejiang University, a master's degree from Shanghai Jiaotong University, and a doctorate in engineering from the Chinese University of Hong Kong. She is engaged in the research and development of machine vision and robot navigation. She is deeply impressed by the fact that she has no deep knowledge of it for five years. And the salary of students is not what it used to be.
In addition to the recent graduates, the competition for AI senior talents is even more intense, including the digging of the company's talents, and the robbing of college academics. At this year's Yunqi Conference, Alibaba Cloud's chief scientist, Ji Wanli, revealed that he had received more than 700 emails from headhunters in a year.
In order to snatch high-level talents, fluently said that in September this year, an AI laboratory was set up in the United States, with the goal of tapping "a talented person with a certain influence in academic and industrial circles." In Lin Hui’s view, the number of Chinese AI talents is not lost to the United States, especially the number of papers published, but in terms of quality, the leading figures are more in the United States, and most of these big cattle have already become home in the United States. The cost of attracting both sides to China is relatively high, and establishing a laboratory in the local area is the best choice.
In May of this year, Tencent dug up the top expert of speech recognition technology, Dr. Yu Dong, as the deputy director of AILab, and established the AI ​​Lab in Seattle, USA. In this November interview, Zhang Wei, director of Tencent AILab, told reporters that the US laboratory is in the recruitment stage. There may be a scale of 20 to 30 people next year, focusing on cutting-edge technology research. This also means that these Internet companies are competing with global competitors for AI cutting-edge talent.
Go to the Silicon Valley to dig people
AI talents have robbed the clashes of the war and the headhunting industry. In the past year, many headhunting companies have launched AI headhunting services, among which Silicon Valley talents are particularly sought after.
“The talents in Silicon Valley are very expensive. The doctors who graduated from Facebook for two to three years are probably between 400,000 and 500,000 US dollars. If they go back to the BAT category, they generally hope to have a 30% increase.†Director of Strategic Recruitment Zhou Wei told CBN that during this time he was helping a Chinese unicorn company to find a Chinese with rich AI experience as the dean of AILab. The request was the chief science and technology or AI expert of the Internet company. Strong academic strength and commercial application ability, published papers in the world's top journals, quite an industry appeal.
Alex Ren, managing partner of Silicon Valley, founded TalentSeer last year, where he was responsible for AI high-end headhunting services between China and the US, looking for talents in AI chips, driverless, conversational robots, cloud service IoT, and deep learning platforms. In the year they helped more than 50 companies recruit nearly 100 people, and the team expanded from a few to more than 20 in just one year.
According to his experience, the technical backbone of a master's or doctoral degree for three to seven years is the most sought-after talent. A typical AI team needs 5 to 10 people, with an average salary of 250,000 to 350,000 US dollars, including 20% ​​bonus. In addition to stock options, the cost of the entire team is about two or three million. The talents in the driverless field are particularly popular. They often receive 4 offers in a week, and the headhunters must give jobs at a faster rate. they.
In the era of artificial intelligence, the effect of “talent attracting talents†is more obvious. Choosing the big bulls in the industry will greatly help to attract other outstanding talents to enter the company.
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