What skills should a recommendation algorithm engineer with a monthly salary of 40K have?

Recommendation is the most important branch of artificial intelligence, and the demand for talent has been increasing in recent years. Wherever there is a large amount of data, there will inevitably be a demand for recommendations, because information filtering is the urgent need of everyone in the ERA of AI. So in a sense, personalization is the biggest change that AI has brought. All of these things we experience every day:

Douyin, every day can check their favorite videos, it is hard to stop…
Brush the headlines, often can receive their interest in the topic…
Shopping taobao, often recommend interested products, have to buy…
Baidu, often see with their interests related to the advertising…
Social networking platforms can often recommend friends with similar interests….
Online individualized teaching…
There are countless other applications…

We can say that recommendation is the most down-to-earth landing scenario in the FIELD of AI, with large demand, multiple business scenarios and easy landing. But that doesn’t mean recommendation technology is mature, it’s becoming more and more challenging. The challenge comes more from the diversity and volume of data. For example, if you want to make a social based recommendation, there are many things to consider: 1. How to deal with the data of text, pictures and videos that may exist in the content? 2. How do you take social networking information into account? 3. How to do user modeling? How to deal with the cold start problem? 4. How to deal with the problem of large data volume? How to deal with changing user interests?

As the problem becomes more and more complex, the market demands more and more referrals. In view of this market trend, Greedy College launched the training camp “Training Plan for a New generation of Recommendation Algorithm Engineers”. We want to cultivate AI talents who can take complex business problems and break them down and design sensible solutions at will, not just basic knowledge of collaborative filtering.