Almost every great tech corporation is working on AI projects, and they are ready to give specialists millions of dollars a year to help them achieve their goals.
The largest companies in the United States are posting heavily on artificial intelligence. Therefore, they do not spare money and pay high salaries to highly qualified specialists in this field.
Nine employees of leading technology companies told The New York Times that an ordinary expert in the area of artificial intelligence in the United States can receive from $ 300,000 to $ 500,000 per year.
The income of well-known specialists in the area of artificial intelligence, taking into account the parts in organizations, reaches several million dollars in 4-5 years of work. Over time, such employees update the terms of the agreement or settle a distinct agreement, alike expert professionals.
The most important pay is received by managers with experience in managing AI projects. This year, Google reported that self-driving car leader Anthony Lewandowski, who has worked for the company since 2007, made about $ 120 million ere entering Uber.
US wages are growing at an insanely fast pace, and it some fun that the tech business should set revenue caps for AI professionals. “It will make things a lot more comfortable,” said Christopher Fernandez, one of the engaging managers at Microsoft.
Where tech organizations find talent
Due to the lack of specialists in the area of artificial intelligence, large organizations are looking for employees in the scientific community and require to hire ai developer. As a result, they are reducing the amount of teachers who may explain the technology, writes The New York Times.
In 2015, Uber appointed 40 personalities from Carnegie Mellon University for its self-driving car plan. Across the past few years, 4 of the biggest AI researchers have stopped teaching at Stanford and moved into production. The giants also lured away six AI educators at the University of Washington.
Some find agreements. Luke Zettlemoyer of the University of Washington has stepped down from a job at Google’s Seattle lab where he could earn three times what he does now. Alternately, he took a situation at the generous Allen Institute, which would enable him to remain education.
To attract innovative designers, organizations like Google and Facebook are managing sessions to educate employees in extensive training and similar technologies. In addition, non-profit organizations established by a previous Stanford professor who supported set up the Google Brain Lab, suggest online classes:
- Fast.ai;
- Deeplearning.ai.
The fundamental ideas of profound education are easy to understand. However, working in this area requires strong knowledge of mathematics and intuition. Special information is required in areas such as:
· self-driving vehicles;
· robotics;
· healthcare.
To stay afloat, little firms are looking for a star in particular areas. Some employ scientists and cosmologists with a solid background in mathematics. Other US startups are looking for employees in Asia and Eastern Europe, wherever salaries are lower.
However, by and large, the monsters are doing the similarity. Google, Facebook, Microsoft, plus others have started AI labs in Toronto and Montreal. Google and Microsoft are also looking for employees in China.
Many believe that talent shortages will not be resolved over time – and this is not surprising.
