Monthly salary after graduation starts at 30,000! Algorithm engineers have 90% master's and doctoral degrees

What is your experience with a monthly salary of 30,000 yuan as a fresh graduate?

Yesterday, the workplace social platform Maimai released the "Artificial Intelligence Top Talent Data Illustration 2022".

#The report shows that in the artificial intelligence industry, the starting salary for fresh graduates of algorithm engineers is 32,000, and nearly 90% of algorithm engineers have master's and doctoral degrees.

# Most of the artificial intelligence talents come from 985 universities, with Tsinghua University ranked first and Peking University ranked third.

Algorithm engineers’ monthly salary starts at 30,000 yuan, and 90% of them have a master’s or doctoral degree

In addition, Maimai has artificial intelligence talent qualifications, Age, salary, and seniority were compared and summarized.

First of all, in terms of the distribution of talent education, undergraduates still account for 62.7% of the talent in the AI ​​industry, followed by masters, accounting for 22.1%.

Looking at the breakdown of positions, algorithm engineers have the highest average academic qualifications. Nearly 90% of algorithm engineers have a master's or doctoral degree, accounting for 87.5%. .

# Among development engineers, most have a bachelor’s degree, accounting for 68.6%, and a master’s degree accounts for 21.4%.

#For hardware engineers, the bachelor’s and master’s ratios are relatively balanced, 54.7% and 44.3% respectively.

Among the salaries that everyone is most concerned about, the average starting salary for algorithm engineers is 32,208, the average starting salary for development engineers is 32,000, and the average starting salary for hardware engineers is 13,750.

Among them, Huawei and Baidu are the major Internet companies with the largest reserves of algorithms, development, and hardware engineering.

It’s all a hurdle for coders to be 35 years old. Is this really the case?

No, 35 development engineers are still very popular.

By comparison, the average length of service for algorithm engineers is 4.59 years. Development engineers and hardware engineers have relatively longer working years, with average lengths of service distribution of 6.69 and 5.36 years.

Among algorithm engineers, the talent pool tends to be younger, with 67.9% of algorithm engineers working for less than 5 years. Development engineers have longer working experience, with 68.7% of development engineers having more than 5 years of service and 22.10% having more than 10 years of service.

In terms of the age of AI talents, more than half of algorithm engineers will choose to change jobs within 3 years of working. 32.3% of algorithm engineers can work in a company for 3-5 years, but less than 10% of algorithm engineers have worked stably for more than 5 years.

#However, the average age of development engineers and hardware engineers is longer, 3.74 years and 3.45 years respectively.

CV talents are most in short supply

This report investigates and summarizes the distribution of top talents in the industry.

Data shows that the talent supply and demand ratios in the four technical directions of speech recognition, natural language processing, deep learning, and computer vision are 0.49, 0.49, 0.48, and 0.38 respectively.

# Among them, the supply and demand ratio of computer vision talents is the lowest, and there is an urgent shortage of talents.

#At the same time, it can be seen from the salaries in these four directions that the lowest salary is more than 30,000, and the highest salary can reach more than 60,000. The overall salary is at a relatively high level. high level.

##Looking at the distribution of artificial intelligence talent positions, the top three are: product manager, sales manager, project manager.

The rest are engineers who develop software and hardware. It seems that if you choose to be a coder, you might as well do it. As a product manager, just make demands.

It can be seen from the whereabouts of AI talent companies, Tencent The "Big Three" of China, Alibaba, and Huawei have attracted most of the talents.

Most of the talents attracted by these three companies have gone to their AI-related business departments, such as Tencent’s Artificial Intelligence Laboratory, Youtu Laboratory, and Autonomous Driving Laboratory, WeChat, Tencent Cloud.

Alibaba has Damo Academy, Alibaba Cloud, Data Science and Technology Research Institute, and Pingtou Ge. Huawei has 2012 laboratory, Huawei Cloud, and smart car solution BU.

Secondly, Baidu, Byte, Meituan, Ant, JD.com, Xiaomi. It is worth mentioning that iFlytek ranks 9th in its efforts to attract AI talents.

Among the technical talent reserve companies, Internet companies are still the main force.

In terms of the four directions of CV, DL, NLP, and speech recognition, the companies with the largest talent reserves are Huawei, Baidu, ByteDance, and Tencent.

Among the companies that are increasing their AI talent recruitment, Xiaohongshu and cross-border e-commerce Shopee are the leading companies in the four major directions. Companies with the highest hiring growth.

#In addition, the recruitment demand in the field of autonomous driving is also relatively strong.

Among the top 10 companies with growing demand for DL ​​job recruitment, 6 companies are autonomous driving-related companies, namely Hao Mo Zhixing, Momenta, and Mogu Auto. , Super Star Future, Jidu, Yuanrong Qixing.

Followed by Zhejiang University, Peking University, Beijing University of Posts and Telecommunications and Huazhong University of Science and Technology, the main representative majors are computer science and technology, electronic information, big data engineering, Information and communication engineering, etc.

Looking at the top 10 cities for talent distribution, 24% of artificial intelligence talents are distributed in Beijing, ranking first in the country.

#Hangzhou is second only to Beijing in terms of artificial intelligence talent pool, accounting for 16.53%. It can be seen that this number exceeds the sum of Shanghai (9.78%) and Shenzhen (6.18%).

Moreover, among the top five, Hangzhou, Shanghai, Shenzhen, and Guangzhou are all in the south, indicating that southern cities have strong development momentum in the field of artificial intelligence.

Home to leading artificial intelligence research institutions and companies such as the University of Science and Technology of China and iFlytek, Hefei, ranked 6th, is also strong in the field of artificial intelligence. Not to be underestimated.

Netizen: Never experienced before

What experience? An experience I have never had before...

Some netizens said that they have car loans and house loans to repay, even if they are monthly After earning 30,000 yuan, I am still very anxious.

The above data comes from Maimai Report: https://mp.weixin .qq.com/s/JCL6_PNaruUnvDau8L774w

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