If you throw enough darts, eventually there will always be a will hit the target.
Author | Luke Posey
Translator | obviously moon, Zebian | Guo Rui
Exhibition | CSDN (ID: CSDNnews)
The following is the translation:
Last Friday was my last day as a machine learning, first job after graduation so I learned a lot working engineers.
Here is my story so far Early in his career, plus some of their own ideas and thinking.
Early job
When I graduated from college, I'm pretty sure what I want to do. However, insecurity made me believe that I was not noble birth (medium public schools and grade point average), it would hinder me reach my goal. So initially I took part in various company interviews, work in the control system company, I know I can find a stable job. I have started to believe that I can finally start my career where I want.
But then on my resume placed the FAAAM (Facebook, Alphabet / Google, Amazon, Apple, Microsoft), some manager's desk, I suddenly began to interview the ones I really want to work - work in the research department ML, but more work is engaged in the application of artificial intelligence (machine learning engineer).
Suddenly, I decided mid-Missouri determination from humble beginnings, westward migration. But then a strange thing happened: I accepted a consumer products company in the interview, the company was before I had a summer internship. After the interview, there is no doubt in my mind emerge out of my ending.
What prompted me to refuse a job as a large technology company, but finding a technical job in an old industry?
I met some people, they really make this decision easy. Innovative spirit and a genuine commitment to give the big data, artificial intelligence / machine learning and other industry giants a chance desire is super encouraging. This is not just a "shot", which is a mission. It is an understanding that the world is a wealth of data and insight poor. This is a kind of understanding, the value is there, but not captured.
I was faced with two choices:
To a technology company, to join an already developed data or research teams;
Join a team that drive business decisions at an early stage by scientific data.
When I talk to the leadership, they made it clear that they go all out to put some of these ideas, and want someone to join familiar disruptive technology team, ready to develop data-driven applications, and promote the team and the wider technology community use of artificial intelligence / machine learning.
That leader and I chat said something I will never forget the words: " Do you know what your role is the most important skill you ?"
I naively replied, "hard work."
He replied without hesitation:
"Yes empathy. If you can really understand the organization, stakeholders, accompanied by pain point, you will soon succeed. We often take the time to building and construction, if you can play empathy, and really begin to understand the organization the internal needs of individuals, then throughout the organization will find many easy victory. "
That day, although compared to other jobs, my salary has dropped, but I stuck with it. Cost of living adjustment Midwest and the San Francisco area, almost wages.
To choose a job based on salary and the work rather than the best decision I could make, I encourage you to also put their own happiness is more important than our income prospects.
In addition to pay, you should also consider intangible factors:
My future colleagues whether approachable, fair and impartial, not bureaucracy?
Non-leaders whether high evaluation of leadership?
Is there a common mission among employees?
You can see employees enthusiasm for work right?
You can imagine where there are no friends outside of work?
This position can do to help your career development and personal growth?
Observation and Lessons
We can gain a lot of experience and lessons learned. The following is my personal summary of lessons learned:
If you are a non-technology companies hiring manager, if you can create an enabling employees to succeed, and has the atmosphere of their ownership of the project early in his career, it is easy to attract talent.
In the startup world, there is a theme, and that is to make the perfect product to spend too much time before , please go to really understand your customers, find the right market. The correct way every other phase should adopt a similar approach. You do not have to create a product in the right way startups.
He refused to change the industry giant will be hit. Embrace change will subvert the industry giants with insurgents .
Foundation is important, but in the face of competition and real knowledge always take a back seat. You either know or do not know.
In the technology sector, we should not have to engineer the construction and payment of wages, we should take the time to allow engineers to develop products that really matters. Sometimes darts hit the bulls-eye. But if you have indicators that your products have a significant market, your chances of success will be greatly increased.
My life motto is as follows: if you throw enough darts, eventually there will always be a will hit the target.
In order to get an interview artificial intelligence / machine learning role, I did a lot of application, contact a large number of recruiters and hiring managers. During this period, I made numerous attempts. Many times I have failed, there are some success: In the past four years, in order to create a start-up companies that people are really interested in, I made countless products; in order to attract more readers on Medium, I He wrote dozens of articles; in order to get a book deal, I went to all the major publishing houses, with a detailed plan and reliable sales strategy - of course, nine tenths have been rejected!
Nothing in life is free stuff, we must persevere, and never afraid of being rejected. My father told me when I was little benefit for life of some things: only good at something is not enough, you have a lot of good people than the second, so they have no choice but to choose you.
This mentality I never questioned why he did not get the chance. I never questioned why I do not get something better to leave these unfounded time out to do more things - either to do more or do not be upset when you're abandoned.
At the end of the day, if you pay all your efforts may pay, you will easily get satisfaction the end of the day. In retrospect, you could easily feel happy, because you know you have paid the last bit of effort.
My next a journey
When I have something with a salary from the benefits of full-time work, as well as all security system provided by the United States in the transition out of time, I with immense excitement and energy into the business world.
Despite being a founder, and the total compensation for a job I work a far cry from the next paragraph, but my influence on the world is infinite. As I turned down the same job as a large technology company, influence on me is the most important, rather than livelihoods. Such impacts include effects on individuals, the impact on colleagues, impact on the industry, the most important is the impact on users.
If we fail in a big company, you will not feel the effects. For an industry giant, any individual contributions are often ineffective. If we fail in a 2-5 person operations, start-up companies will fail to feel directly. If our personal success in the business, start-up companies will feel successful value.
One thing is for sure, I always wanted to addition of the two teams:
Insurgents
There are those who want to completely accept the changes
Our business success depends on what we do every day, our success depends on our ability to resonate with our customers, I can not wait to be with you embark on our journey of entrepreneurship.
Original: https: //towardsdatascience.com/why-i-left-a-job-i-loved-in-ai-ml-eb1b2c6b260d
Translator: Obviously moon, well-known Internet companies Java senior development engineer, CSDN blog expert.
【END】
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