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What are the gaps in the competency model for algorithm engineers with 1 million annual salary?

Algorithm engineers with 100W and above are basically scientists, and most of them take the role of LEADER in well-known companies in this field. There are actually quite a lot of such people in Zhihu, and to protect other people's privacy, I won't be able to et out one by one. Most of these people have PhDs from prestigious universities, and their supervisors are very famous in the industry. During their PhD, they published many top papers, got Google PhD Fellow/Microsoft Fellow, or did very influential work. For example, Lijie Chen and Haoqiang Fan in this year's Yao class. As we all know, academia is a circle, and it's still a pretty small circle; often the best labs in a direction know each other and have a good relationship. Although the industrial world is whoever is on the line, but the algorithm direction is after all partial academic, the characteristics are very close to the academic world, with the circle attribute. Now algorithmic talents are not only expensive, but also difficult to recruit. Big companies and famous schools to establish cooperative relations, please academic big brother to be the chief scientist, his doctorate is also all packaged over; startups use their own connections, such as face + + can recruit a lot of Tsinghua outstanding students (founder of Tsinghua Yao Ban), Shangtang science and technology recruited a lot of Chinese University of Hong Kong PhDs (founder of the Chinese University of Hong Kong Professor) and so on.