Median annual wage (2018): $118,370/yr or $56.91/hr
Entry-level education: Master’s degree
Work experience in a related occupation: None
Job growth through 2026: 19 percent (much faster than average)
Source: Bureau of Labor Statistics
AI Engineers, or Computer and Information Research Scientists, are responsible for inventing and designing new approaches to computing technology and finding innovative uses for existing technology. With the technology world on the brink of revolutionizing how we use computers, AI Engineers will become more prevalent in the coming years.
With an emphasis on artificial intelligence, these engineers build, test and deploy AI models, as well as maintain the underlying AI infrastructure. They are problem-solvers who can navigate between traditional software development and machine learning implementations.
The approach to solving problems in the computer science field that were traditionally harder to solve, such as, building a program that will successfully recognize handwritten text, are done easily through machine learning. Solutions are found through algorithms that parse large sets of data and learn from this data, without being programmed in the traditional sense — without relying on a series of steps, but rather learning from data itself.
Artificial intelligence is the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making and translation between languages. It is the creation of intelligent machines that work and react like humans.
The Future of AI Engineers
Although AI impact is debated, some studies expect that it could replace as many as 75 million jobs by 2025. Other sources show that it will create 58 million jobs by 2022. Either way, impact with AI will be felt across the world, driven largely by the work of AI Engineers.
Erik Brynjolfsson, director of the MIT Initiative on the Digital Economy, said that AI and related technologies, “have already achieved superhuman performance in many areas, and there is little doubt that their capabilities will improve, probably very significantly, by 2030.”