Not long ago, a graduate student tutor from a well-known university’s automation department told the author that the recent graduates he took this year were very popular. Not long after the recruitment season began, there were several positions for students. The promised annual salary was as high as 300,000 to 400,000 yuan.
This is just a microcosm of artificial intelligence talent. At the recent high-tech talent fair, graduates of artificial intelligence-related professions became the “Songs†that companies competed for. The information released by a professional social platform shows that the number of artificial intelligence posts has increased nearly 8 times between 2014 and 2016.
The emergence of artificial intelligence talent seller market stems from the imbalance of talent supply and demand. With the blowout of the domestic artificial intelligence industry in the past two years, in addition to professional companies seeking thirst, some traditional companies also want to recruit artificial intelligence talents for transformation, which has intensified the “white fever†of talent wars.
In fact, artificial intelligence personnel all over the world are relatively scarce. Some people abroad have used “like a fire on a dry grassland†to describe the explosive demand for artificial intelligence talent resources in recent years. In contrast, Europe and the United States still have an absolute advantage in the number of artificial intelligence talents. China's relative reserves are insufficient, especially the lack of cutting-edge talent. At present, the top domestic artificial intelligence scientists and engineers are mostly returned sea turtles, but they are far from meeting demand.
The so-called cutting-edge talents are leading talents who have excellent innovative thinking and strong original ability and can lead companies to rise rapidly in a certain segment. In the field of artificial intelligence, cutting-edge talent is not a concept of "one can top ten," but it is very likely to "subvert an industry." This is because artificial intelligence is a cross-convergence of multiple disciplines such as computers, automation, and neuroscience. Related talents need to have many skills such as machine learning, computer vision, image processing, and pattern recognition. For example, popular artificial intelligence algorithm engineers need to master various techniques such as image processing algorithms, computer vision algorithms, natural language algorithms, and data mining algorithms. These people have different professional backgrounds and have good math, English, and programming skills. . Once they enter the company, they can guide their employees to grow rapidly in all aspects.
In addition to cutting-edge talent, the stock of ordinary artificial intelligence practitioners is also clearly insufficient. The development of artificial intelligence in China started late. Before the domestic universities and colleges failed to pay sufficient attention to the setting of disciplines and employment guidance, many artificial intelligence-related industries were “unpopularâ€. Nowadays, the upsurge is prosperous, and recent graduates related to artificial intelligence are rapidly “sucked†in the light, making it easy for talents to appear.
To make up for this talent gap, it is necessary to "citation" and "cultivate." European countries and European countries have issued their own artificial intelligence planning strategies and competed vigorously to introduce talents. The "New Generation Artificial Intelligence Development Plan" recently released in China also proposes to accelerate the introduction of top talents and young talents from the world and to form artificial intelligence talents as quickly as possible. "Planning" also made it clear that improve the layout of disciplines in the field of artificial intelligence, and promote the first-level discipline construction in the field of artificial intelligence. The Ministry of Science and Technology and the National Natural Science Foundation of China will also give strong support to cross-disciplines and encourage the development of talents from the basic research level. At the same time, they will actively promote the deep integration of industry, university, and research so that talents will grow up in practice.
It is worth noting that the artificial intelligence industry is going to “virtual fire†and artificial intelligence talents are also going to bubble. Enterprises should recruit talents based on actual needs, and must not listen to the wind or rain; if they follow the idea of ​​“grab first, then blindly follow the trend, not only is it easy to cause premiums for talents, but it may also attract monks who haven’t read, and waste expensive salaries. .
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