Huawei 2
million annual salaries from the doctoral bottom: 8 genius juvenile school
professional explanation
The annual salary of the doctoral doctor is up to 2.01
million!
Yesterday, a Huawei internal mail was hot on the whole
network: Huawei will implement annual salary management for eight top 2019
students. And announced an enviable remuneration package.
The notice is as follows:
Huawei wants to win the future of technology and commercial
warfare. Technology innovation and business innovation are the core driving
force. Innovation must have the world's top talents. Top talents must fully develop
their talents. We must first use top-level Challenges and top-level
compensation to attract top talents. This year we will recruit 20-30 talented
"juveniles" from around the world, and increase the year by year to
adjust the combat capability structure of our team.
The company decided to implement an annual salary system for
eight top 2019 students. The annual salary plan is as follows:
1. Zhong Rong: Doctor.
Annual salary plan: 182-2.0 million yuan / year
2, Qin Tong: Doctor.
Annual salary plan: 182-2.0 million yuan / year
3. Li Wei: Doctor.
Annual salary plan: 140.5-156.5 million yuan/year
4, Guan Gaoyang: Doctor.
Annual salary plan: 140.5-156.5 million yuan/year
5. Jia Xuya: Doctor.
Annual salary plan: 89.6-100.8 million yuan/year
6, Wang Chenghao: Doctor.
Annual salary plan: 89.6-100.8 million yuan/year
7, Lin Biao: Doctor.
Annual salary plan: 89.6-100.8 million yuan/year
8. He Rui: Doctor.
Annual salary plan: 89.6-100.8 million yuan/year
The eight employees are all 2019 students, all of whom are
doctoral degrees. The annual salary of the top two employees is 1.82 million to
2.01 million yuan and the annual salary of the other two employees is 1.405
million - 15.65 million. The annual salary of the other four employees. It is
896,000 - 10.08 million.
This also confirms the content of Huawei's other internal
mail as early as June:
Huawei founder Ren Zhengfei revealed at a meeting of EMT on
June 20 that Huawei will recruit 20-30 talented teenagers from all over the
world. In 2020, it plans to recruit 200-300 talented teenagers from around the
world.
Huawei's open annual salary plan seems to be the first time,
and such a high salary has also attracted a lot of attention. Many people
appreciate that Huawei "emphasizing knowledge and respecting talents is a
good thing" and "hope that this is a long-term system, not a
temporary hype. More importantly, there is a relatively open and transparent
evaluation standard. Everyone has equal opportunities, otherwise, it is inside
the company. It will cause dissatisfaction and it will be difficult to carry
out work after entering the job."
Some people also questioned that several newly graduated
doctoral students claimed to have an annual salary of 2 million? What research
did they do? What articles did they publish? What is the citation and level of
the article? Is it worthy of the name, or is it a thousand dollars to buy horse
bones?
Below, we collected the information of the next 8 doctors,
to see how many of these 8 "genius teenagers" are.
How many cows do eight genius doctors have?
The eight doctors' annual salary is divided into three
grades. The most popular ones are Zhong Rong and Qin Tong, with an annual
salary of RMB 182-2.0 million.
Zhong Rong
Direction: Pattern Recognition and Intelligent Systems
Dr. Zhong Wei, who received the highest annual salary,
graduated from the Institute of Automation of the Chinese Academy of Sciences.
His research direction is pattern recognition and intelligent systems. He
studied under Liu Chenglin.
In this study, Zhong Rong is hand-crafted for most of the
available network architectures, and usually requires professional knowledge
and well-designed questions. A block network generation pipeline called
BlockQNN is proposed to automatically build a high-performance network.
This method on CIFAR-10, the optimal network generated by
BlockQNN has an error rate of 3.54%, which exceeds all existing automatic
generation networks. At the same time, it greatly reduced the search space in
designing the network, only took 3 days and 32 GPUs; and it also performed well
on the larger ImageNet dataset based on CIFAR network, and it has strong
versatility.
Some netizens revealed that Zhong Rong was the first to do
NAS. It is rumored that the reference effect of Shang Tang is a full-line
upgrade. This is also helpful for Huawei to enter AutoML. In the words of the
instructor, the direction of the research chosen by Zhong Rong is relatively
"hot."
Qin Tong
Education: Ph.D., Robotics Institute, Hong Kong University
of Science and Technology
Interest: machine vision SLAM, visual inertial fusion,
multi-sensor positioning
Honor: Received the IEEE IROS 2018 Best Student Paper Award
Qin Tong graduated from the Hong Kong University of Science
and Technology. During his student days, he published several papers in
international top journals and conferences such as IEEE TRO, ICRA, IROS, and
ECCV, and won the IEEE IROS 2018 Best Student Paper Award.
His research interests include machine vision SLAM,
visual-inertial fusion, and multi-sensor positioning. Among them, the
visual-inertial odometer is widely used in the field of robots. By combining
visual observations and inertial measurements, it is possible to accurately
estimate the position and attitude of objects.
A paper by Qin Tong published in "IEEE Transactions on
Robotics" has been cited as many as 188 times, entitled "Vins-mono: A
robust and versatile monocular visual-inertial state estimator"
(Vins-mono: a powerful and universal Monocular visual-inertial state estimator).
The study proposes a monocular visual-inertial state estimator and verifies
that it is a reliable, complete and versatile system for a variety of
applications requiring high precision positioning.
Li Wei
Education: Ph.D., School of Mathematical Sciences, Peking
University
Direction: Modeling Language Design and Software
Formalization
Honor: He has published many papers in industry journals and
conferences, and has won many school awards and national awards.
Guan Gaoyang
Education: Ph.D., Zhejiang University
Jia Xuya
Education: Tsinghua University, undergraduate direct,
computer science, and technology.
Direction: Software Radio
Jia Xuya published a total of eight papers, one of which was
five.
Wang Chengyu
Education: Ph.D., Peking University, major in electronic
information science
Direction: Power Control
Lin Wei
Education: Ph.D., University of Science and Technology of
China, School of Computer Science and Technology.
Direction: Big Data
He Rui
Education: Doctor of Chinese Academy of Sciences, Institute
of Mathematics and Systems Science, Computational Mathematics, Computational
Mathematics.
Direction: Computational Mathematics
Want to buy bones? To attract more doctors to Huawei?
Knowing that the netizen "sweet strawberry" said
this incident:
I am very pleased that some companies are willing to give
high-paying doctoral degrees, which may mean that companies are willing to sink
their minds to do research.
However, as far as this incident is concerned, the
individual feels that this is more like buying money. In the form of this
public salary, it is more to consider attracting more doctors to Huawei.
These students entered Huawei as a star under the pressure
of internal and external pressure. I believe that they will also be under great
pressure from inside and outside. I hope they can turn into the power to get
the matching output.
The following content is a review of the authorization of
Xinzhiyuan:
Doctoral average annual salary
As far as the company package is concerned, Huawei's
doctoral degree has always been very high. According to my understanding, it
should be one of the domestic companies with the highest annual salary of
doctors (communication and IT). This is likely to be related to Huawei's
willingness to invest a large amount of money as a product pre-research, and
the laboratory part of 2012 is indeed doing well in the industry, academia, and
pre-research, and it is worth investing in such a large scale. The 2019 doctoral
recruitment is like this:
It can be seen that in the 2019 doctoral school, the company
that pays more attention to scientific research and innovation (Huawei Dajiang)
is relatively high, and Deepmind will not talk about it. This is not in China.
However, it should be noted that not all doctors give such a high package. It
is necessary to see whether the research field is a match or not, and whether
the company needs it or not. Therefore, in terms of this picture in the title,
it is obvious that CV, ML, communication Part of the advanced research is the
the focus of Huawei.
Guess the
recruitment factor
In the picture, the landlord has counted the number of
papers and citations, but there are a lot of errors in doing it. In terms of
different fields and different professions, the number of papers and the number
of citations cannot be horizontal. In comparison, the ML field is not very
familiar, let's talk about possible recruitment factors in the three areas of
IoT, SDN and terminal power consumption.
First of all, school is very important. If I don't admit the
wrong person, these three students are from Tsinghua University, Zhejiang
University and some people say that they have deep cooperation with Huawei
during the Ph.D. period... Congenital is a huge advantage.
Second, the field is very important. IoT (Internet of
Things), SDN (software-defined network, network slicing), terminal power
consumption (terminal energy saving), these three are very promising areas of
communication, the market potential is very good, also Very cutting edge, of
course, it is important that these directions are very lacking.
Then, it is the paper and the citation. Guessing the number
of papers and citations will have a little impact on the package, but not too
much. As far as the published research results are concerned, there is no way
to accurately evaluate it as a school slag, but there is room for improvement
in comparison with some of the doctoral students, I have met.
significance
If you simply look at the published list, the significance
of Huawei's recruitment of thousands of dollars is far greater than the actual
meaning. The landlord in Tuli also said that the announcement of salary is
quite serious. People who read the doctor may have some arrogance. If there is
no huge gap between one person and oneself, then everyone will think that I can
go to me, why not let me go; if a person and himself are so different that they
can’t catch up, then everyone will think that wow is really powerful and
convinced, so some people think that (he is not too arrogant) is also normal.
In the early years, Huawei did not pay enough attention to
the doctor because of the company culture. There were quite a few doctors who
left the company. At the time, the general manager issued three emails to ask
about this. The main reason for buying money is to reverse the image of Huawei
in the doctor's mind.
The cumulative average turnover rate of doctoral staff in
the R&D system in the past five years is 21.8%. The higher the time of
entry, the higher the cumulative turnover rate. After four years of doctoral
entry in 2014, only 57% stayed.
Although the timing and way of thinking about this issue are
different now, I think that for a company, when planning a recruitment
strategy, it is necessary to consider the old employees and people of a similar
level. People think that "this person is really powerful, I can't compare
it" may be more convincing. Otherwise, if there are almost the same level of
students coming to work, what should I do?
For these students, the aura of the genius boy enters
Huawei and the internal and external pressures will be great. After all, there
must be an output that is worthy of salary, and I hope they can turn the
pressure into motivation.
As Miss Qiu Shuang said, the point of the question is: What
is the evaluation standard of Huawei Recruitment Doctor? What kind of doctor is
a junior genius? Is it purely scientific research, or is there anything else
that is extraordinary? Or because of others? This is worth pondering.
The gap
between doctoral and doctoral
As everyone knows, the salary of a general doctoral student
is not as high as that offered by Ren. This has led to an understanding of the
gap between doctors and doctors.
The netizen named "D.Han" said that one of the
important gains from his experience in reading the blog were to let him see the
the gap between people and his ceiling.
The following content is a review of the authorization of
Xinzhiyuan:
Undergraduate overall is still a good source of learning,
even if it is not the top, but the gap with the top students, reflected in the
academic scores are not so disparate. Like 95 and 90 points, because there is a
100-point perfect score, the gap is not so obvious.
After the postgraduate study, academic research has no upper
limit, which makes the gap between people very large. For example, a Ph.D.
student at the same level, Google cited more than 1,000, and I am still a
double-digit. Since the academic results are very different, then the income
level after graduation is not very reasonable.
And from the perspective of more work, I believe that the 2
million-year-old doctoral graduates, the amount of work and value created,
divided by the income level, should not be lower than ordinary graduates, so I
envy but also sour stand up. It’s me, even if Huawei gives me 2 million annual
salaries, I am embarrassed.
My only concern is whether this behavior is too high-profile
and will put more pressure on the system and the candidates. After all, it is
difficult to guarantee that every winner is worthy of the price and that each
candidate has more ability to work than those who are sorry for this price.
The profession is different, so I don't know the level of
these students. I can only believe in the judgment of Huawei's relevant
departments.
their
This is dummy text. It is not meant to be read. Accordingly, it is difficult to figure out when to end it. But then, this is dummy text. It is not meant to be read. Period.
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