'Python talent gap of 300,000, salary is high to no friends', '0 real basic education, 90 days getting started to high salary', with artificial intelligence fiery, artificial intelligence short-term courses are coming and go, at every turn twenty or thirty thousand training Costs, consult an endless stream of applicants, and one of the highest salaries to become the most attractive slogan, these institutions without exception, the payroll on the most prominent position.
In the past year, due to the rapid artificial intelligence industry outbreak, a huge talent shortage pushed industry salaries to a staggering level. It is also a new challenge to grab and retain talent behind the talent pool.
From freshmen to technical cow
In the field of artificial intelligence, the annual salary of Dr. 500,000, master's from 250,000 to 350,000, the salary level is equivalent to 2 to 3 years of work experience of general position engineer's salary. 'AI fluent' said co-founder Chief Scientist Dr. Lin Hui revealed to CBI that the company first started its school enrollment in October of this year and successfully recruited more than a dozen graduate students from Tsinghua University, Peking University and Fudan University, and these came from computer science and mathematics departments , Statistics and other professional students, often before they have graduated from holding multiple Offer.
IDG Capital released the "2017 Unicorn Wage Report" shows that senior staff in the AI industry is 55% higher than the overall level, mid-level positions higher than 90%, while junior positions is as high as 110%, a manual Talent war triggered by intelligent war at the forefront, the existing market competition for talent has become white-hot.
'If you know a person reading a doctoral, and read the neural network, basically doomed this person can only do research for life, because he will never be able to do.' Future Robot CTO Fang Mu mentioned five years ago we often say A joke, Fang Mu is a Zhejiang University undergraduate, master's degree from Shanghai Jiao Tong University, Chinese University of Hong Kong, MD, engaged in machine vision and robot navigation in the field of research and development, let her feeling is just a short span of five years, now no one I do not know deep learning , While the wages of students are not the same.
Graduates outside, the competition for AI senior talent is more intense, including the hiring of corporate talent, more academic robbery colleges and universities in this year's cloud habitat Alibaba chief scientist Min Wanli disclosed that he Had received more than 700 e-mails from headhunters in one year's time.
In order to rob senior talent, fluent in September this year set up the AI laboratory in the United States, the goal is to tap the 'academic and industrial influential talent' in Lin Hui view, the number of Chinese AI does not lose the United States, In particular, the number of published papers can be seen, but the quality of the leading figure more in the United States, most of these big cattle in the United States have been married to China to attract both costs are relatively high, built locally Laboratory is the best choice.
In May this year Tencent dug to voice recognition technology top expert Yu Dong, deputy director of AILab, and the establishment of the United States Seattle AI lab interview in November this year, Tencent AILab director Zhang Tong told reporters that the United States is recruiting stage laboratory, Next year there may be 20 to 30 people focused on cutting-edge technology research, which means that these Internet companies are competing with global competitors AI cutting-edge talent.
Go to Silicon Valley enclosure digging people
AI rioting rioted the headhunting industry, in the past year many headhunters on-line AI headhunting services, including Silicon Valley talent is particularly sought-after.
'Silicon Valley's talent is very expensive, Facebook graduated two to three years Ph.D., about 40 million to 500,000 US dollars, if you go back to BAT a class of companies, they generally want a 30% increase.' Landen consulting strategic recruitment director Zhou Wei told CBI at a time when he was helping a Chinese unicorns company looking for an AI-rich Chinese to serve as AILab's dean, claiming to be the chief science and technology or AI expert on the Internet, Strong academic and commercial application of strong ability, published in the world's top journals, quite industry appeal.
Alex Ren, managing partner of Capital Silicon Valley, founded TalentSeer last year and is mainly responsible for the search for AI high-end head-hunting services between China and the United States, looking for talents in AI chips, driverless and interactive robots, cloud services Internet of Things, and deep learning platforms. The year they helped bring more than 50 companies to nearly 100 people and the team expanded from a few people to more than 20 in just a year.
According to his experience, master's or PhD graduates work for three to seven years the backbone of the most sought-after talent, a typical AI team needs 5 to 10 people, the average salary of 250,000 to 350,000 US dollars, which contains a 20% bonus Plus stock options, the entire team costs about two or three million or so, especially in the driverless area, they tend to receive four offerings in a week, and headhunters must give jobs faster they.
The effect of 'talent attracting talented people' in the field of artificial intelligence has become more obvious. Choosing the powerful calf in the industry will be very helpful for attracting other talents in the future.
But the job of tapping the top talent is not good. "The inherent salary differences between China and the United States, especially the stock of the company represented by the so-called 'FLAG' (Facebook, LinkedIn, Apple, Google) Attracting talented people to come back is not easy. "Zhou Wei said, 'Mining talent cycles also often take six months, or even a year of effort.'
This also put forward higher requirements for headhunting work.In the past with most of the headhunting through LinkedIn and other channels and target telephone communication outside, the headhunters must understand the academic background of the various cattle, in which Lab worked, published papers, academic Research focus, and the corresponding business and business differences between the business, product orientation, industry coverage also need to know the difference, so that they really into the circle.
In order to understand the unmanned vehicle industry AlexRen in the two months to find nearly 40 industry experts, each of more than one hour to exchange learning, mutual confirmation of technical points and the ecological relationship between enterprises.In addition to the team every month There is a headhunter to share the learning results, looking for industry experts for internal lectures.
2018 Silicon Valley back to the year
China's huge market opportunities and massive data attraction for overseas talent can not be ignored.After graduating from the Department of Electronic Engineering at Washington University in the United States entered the Google headquarters in the United States as a research scientist, decided to go back to business in 2012, in his view There are a lot of data in China for C-Could help product iteration, to make the existing technology more cattle, while demographic dividend also has obvious advantages for looking for people mark data, which is very attractive for the research and development of researchers, but also the United States Can not provide '.
Coincidentally, the unique CTO CTO, co-founder MattScott served as senior research director of the Microsoft Research Asia, as Americans he eventually chose to start a business in China. 'Data, China's artificial intelligence and financial support for government support is incomparable From the national level to the local level, there is a very clear artificial intelligence plan, and in his view, the future of artificial intelligence is in China. "Dr. Huang Dinglong from Coderon Technologies told CBN.
Artificial intelligence in China was put on the national agenda, but also become the world's second largest artificial intelligence field, second only to the United States.According to Wuzhen index "Global Artificial Intelligence Development Report 2017" data, 2000-2016, China's AI financing scale A total of 2.76 billion US dollars.Among them three years from 2014 to 2016 is the most rapid development of artificial intelligence in China period.In this three years artificial intelligence financing accounted for 93.59% of the total, the frequency of investment accounted for 87.22% of the total, far higher than Israel And India.
As artificial intelligence technology for the competition for senior technical personnel, as well as overseas companies such as Facebook, Google and other Chinese Internet companies returned home successful model effect, combined with Pinterest and Uber, Silicon Valley, the first batch of Chinese employees four-year options, stock expired, Silicon Valley once again rumored to be listed on the two companies next year is expected, IDG Capital believes that 2018 will be the year of reclamation of technical personnel in Silicon Valley.
China AI companies valuation is higher
It is even more difficult to recruit people, but how to retain talents, and to transform academic research and engineering capabilities into business values, requires a more in-service process. For these academic leaders, what matters more besides money is recognition of what the enterprise does. AI talent will have obvious tendencies, considering their own research and technical application areas, for example, a US group candidate clearly expressed the hope to enter the field of education.
AlexRen also said that there are two misunderstandings in the current recruitment of Silicon Valley talent by many Chinese companies: one is ignorant of the talent structure and culture in the United States and the other is arrogant in believing in Silicon Valley talent, especially in Silicon Valley. , These people's executive identity is the result of personal ability or platform due to their strengths, do not understand the advantages.
The running-in of talents and enterprises is also a long-term concern of the headhunters in the latter part of their life. There are indeed some twists and turns in Zhou Wei's impression after running in. Some people enter the company as professional managers, but the direction the boss wants to develop I do not recognize their own, has always been less than the core project, there are many CEO impetuous, hiring talent eager to see the output immediately after the final splitter.
Attracting a large number of talented people into the business, also put forward higher requirements for talent management, talent costs Lin Hui frankly frankly conservative, 'as companies prefer technology to produce commercial value in the product, faster iteration, but to retain talent The key is to make the objectives clear, and the management of the company must think clearly about the technical planning and direction and then disassemble it into specific goals and tasks, specific to each person.
For investors, talent is the core of an artificial intelligence company assessment of the core elements, or even the primary factor in the field of machine intelligence for a number of investments in Cocoa Capital, Founding Partner Wei Feng told First Financial, 'investment is to invest, The role of human beings is even more prominent in the AI era, but more importantly in terms of industrial capital investment is the need to strike a balance between technological and commercialization, the spirit of scientists and engineering capabilities.
In investment, Cocoa Capital made a reference standard of 6: 4 for technical talent and commercialization. 'Not completely out of the market demand Purely considering the scientific research, we need to implement the technology to the stage that the enterprise can use, understand the customer's needs, the supply chain Partner docking, team management is an extremely difficult process. "Cocoa Capital Partners Li Sheng Kai said.
In his view, this also requires the scientists themselves have better engineering ability, or understand the risks of technology products, have a commercial mind to deal with this matter.When investing in the Philippines to help automakers find talent, Li Shengkang found Tsinghua University professor of mechanical engineering, doctoral supervisor Liu Xinjun, Professor Liu Xinjun made it clear to him: 'scientific research achievements and entrepreneurs to go through the docking, I can promise to do while the industrialization, I am sorry, because I am not Entrepreneur.
Li Shengkai, who studies for Bachelor of Engineering and Master of Engineering at Tsinghua University, understands that there is often a gap between scientific research and business needs. There are often some constraints to setting up essays in colleges and universities. However, in the actual operation of a company, the constraints do not always follow the ideas Restrictions effect, we need to make adjustments and balance according to the industry.
According to the Global AI Field Talent Report released by LinkedIn, as of the first quarter of 2017, the United States has the largest pool of talent in excess of 850,000, and the imbalance between supply and demand is the main factor in the shortage of AI personnel This figure in China is only more than 50,000 people, ranking seventh in the world.
AlexRen estimated that the ratio of artificial intelligence personnel in the United States is about 1: 3, while China is about 1: 6 or even 1:10. He invested in 12 AI companies in the United States. As a whole, Chinese companies have a valuation of 2 to 4 higher than the U.S. Times