The feel and style of the Internet big factory.

Editor’s note: This article is from WeChat public account “Tech Planet” (ID :tech618), author Zhang Yating Yang Jingwei.

I am intern at an Internet company

I am intern at an internet companyfeel and style of internet makers.

Tech Planet (WeChat ID: tech618) Text | Zhang Yating Yang Jingxi

​​”Into the byte of the vibrato, is it possible to brush up the video every day?”, “Tencent WeChat Division, graduates monthly salary 30,000?”, “Ali is very tech now, is it a technology god?”, “Baidu, known as the Wolf Factory, will there be a lot of overtime?”…

In domestic technology Internet companies, there are many legends in both BAT and TMD. Many people explore the interior of the big factory from different perspectives, and the natural and more sensitive interns group is more interesting to observe and experience the big factory. They experienced layer-by-layer selection and brought fresh and energetic blood to the company. Through their eyes, the world of Internet companies is so colorful.

This time, Tech Planet (WeChat ID: tech618) chatted with interns from Alibaba, Tencent, Bytes, Baidu, and Xiaomi. Although the interns are not enough to fully represent the whole, but through their work and life for several months, they can still see the micro-knowledge, and find that the management systems, working atmosphere, business strategy, welfare benefits, and cultural values ​​of different companies are not the same.

For example, today, bytebeat is in a period of rapid expansion, interns write code on the road; Baidu with shrinking market value is somewhat anxious, welfare is not left behind; Xiaomi young dares to use newcomers, and interns give color names to 100 million pixel mobile phones. Alimen is high in “customs and more”, interns have to wait for 6 rounds of interviews; Tencent WeChat big, less frequent updates, employees work slowly.

Let meLet’s listen to their stories together.

I am intern at an Internet company“I am sitting at the subway station and writing code” Xiao Zhang byte beat algorithm intern

I am intern at the Internet company

Picture of the company that Xiao Zhang took after work.

I am a master’s degree from a prestigious university. I came to the byte-beating internship at the second time. I mainly studied the algorithms related to machine learning. The results will be applied in the company’s internal products, such as today’s headlines, watermelons, and volcano videos.

The first day of the internship was very good for the company. At that time, HR casually said that “the lights are a bit dark”, she immediately contacted the real estate department to send a lamp. Of course, my favorite company welfare is that there are many opportunities for academic exchanges here.

Once, the company invited a Turing Award winner John Hopcroft to visit and exchange, and Zhang Yiming also went. The white-haired industry big business was crowded by the crowd, and the picture of the speech that day was always in my mind. The top scientist who predicted that “only 25% of people need labor in the future” will further strengthen my belief in the AI ​​algorithm business.

The internship is very novel, and I look forward to coming to the company every day because I can learn a lot of knowledge that the school can’t learn. For example, how to conduct large-scale calculations in the enterprise. Without the scientific research in the greenhouse, the solution to the real problem is more complicated, and the conclusions of the million-level data and the billion-level are not the same.

Because the company’s business is in a state of rapid expansion, my daily working hours are “10 nights and 10 nights”, and the department also implements “size and size”.

This internship made me develop the habit of going out to carry a computer, because I was afraid of “going out of work” at work. Once the video platform server hangs, the background immediately flooded into a lot of user feedback. At that time, I received the “alarm” call on Lark on the subway. I immediately sat down at the corner of the subway station and started writing code.

Although the work is tight, it is very efficient, I