Introduction: Artificial intelligence is a challenging science. Those who do this work must understand computer knowledge, psychology, and philosophy. Artificial intelligence consists of a very wide range of sciences. It consists of different fields, such as machine learning, computer vision, etc. Generally speaking, a major goal of artificial intelligence research is to make machines capable of performing tasks that normally require human intelligence. Complex work. However, people of different ages and different people have different understandings of this “complex workâ€.
Talent is in short supply
There are thousands of vacancies in the field of artificial intelligence and machine learning. In fact, although artificial intelligence is a rapidly growing field of high-tech professionals, Kiplinger's report concludes that there are only a few qualified engineers in the field.
Boris Babenko, machine vision engineer at Orbital Insight, a company that uses AI to collect data from satellite images, located in Palo Alto, Calif, said:
"Demand exceeds supply."
"This is the status quo in all areas of software engineering, but AI is based on a major business opportunity."
Artificial intelligence is everywhere
When companies need to give computers the ability to think, learn and adapt, almost every field requires the presence of experts in artificial intelligence.
Geoff Gordon, director of the machine learning department at Carnegie Mellon University in Pittsburgh, said:
"If you look down, any company you can think of needs artificial intelligence and machine learning."
"Of course, there are many open positions in Silicon Valley, but jobs in AI can also be found in Boston, New York, Pittsburgh, London, Hong Kong, and all related cities."
According to a recent report by Shivon Zilis, a founding partner of investment fund Bloomberg Beta pointed out that Apple, Google, and IBM are the top three AI hiring companies. But these three companies are not alone. Zilis' report shows that AI is used in many fields including advertising, culture, health care, and transportation.
On the road
How to find an AI job? Gordon's suggestion is:
"Starting from some software engineering or data - areas such as physics in hard-hit areas.""
"There may also be people from other fields, such as biology."
"Machine learning has become a very important part of their work, and eventually they will love it."
And he mentioned that many of his doctoral students have returned to school to learn artificial intelligence since they stayed in the industry for several years.
Software engineering as a background is an indispensable factor that experts agree.
Gordon said:
"We think that when people come in for the first time, they must not only have formal thinking skills, but also have the ability to code and work with computers. The exact programming language is not a big problem. Most students know several languages."
Babenko said:
"We like to see candidates for open source projects so we can browse the code they write."
In addition to technical skills, AI requires you to have a natural curiosity and motivation to solve problems.
Gordon said:
"We try our best to cultivate people who can find possible problems and solve problems."
"Someone once described our students as excellent machine learning ninjas - they can solve all your problems with black helicopter landings."
Matthew Michelson, chief scientist at InferLink (a company located in EI Segundo, Calif), said:
"The combination of analytical power and creativity is also crucial"
"This is a hard-to-find combination, but you need to analyze the data and design the algorithm."
Creativity is important, he added, because "the problem is often new and new solutions are needed." He would browse the candidate's hobby - the preference for those who develop games - when considering them How to deal with the problem.
Living in the moment
In education, there are many jobs for those who have a master's degree, and there are many lower-level positions. Employers employ PhD candidates in artificial intelligence to measure their educational level and their work in doctoral programs.
Joining the conference is a good way to keep your knowledge of artificial intelligence at the forefront—focusing on areas that are rapidly developing and finding clues.
Nara Logics, a CEO of Chromosomal Junction Intelligence at Cambridge, which combines neuroscience and computer science, said:
“My advice to those interested in AI work is: networking, participating in events, and following industry news as part of the industry conversation.â€
“This is the best way for you to evaluate yourself for a company and the opportunity to learn professionals.â€
Babenko liked the competition for competitors like Kaggle ("the world's largest data scientist community"). He pointed out that "the network is very competitive."
Where do you see?
All major technology companies are hiring and hire high-paying talents. These pouched companies may, in fact, set a smaller price outside the market.
Babenko said to his employer:
"I don't think Orbital Insight has the ability to compete with big companies."
However, well-equipped candidates should consider their own personalities, he added:
"Google has many very powerful projects, but that is only the tip of the iceberg, and a smaller company, such as Orbital, will disguise itself with a feeling - he is doing more things."
The increase in the number of jobs is mostly in the industrial sector. Gordon did not see a corresponding increase in the number of academic work - but he also hopes to change.
The number of AI jobs will only continue to increase
Gordon said:
"The AI ​​field will still be a hot spot."
Via:Artificial Intelligence
PS : This article was compiled by Lei Feng Network (search “Lei Feng Network†public number) and it was compiled without permission.