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Here Are the Top 10 AI Jobs, Salaries, and Cities:-
September 2023
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June 28, 2019
.While we don’t yet have the personal androids promised to us in sci-fi movies, artificial intelligence (AI) is increasingly a part of our everyday lives, with Forbes declaring 2019 “the year AI will move into the mainstream.” Thanks to AI, you can use your smartphone to deposit checks. AI quarantines your incoming junk email in a spam folder. Ridesharing apps such as Uber use AI for departure and arrival times. And AI makes recommendations on Amazon and Netflix based on your usage and preferences. Done a web search today? You likely interacted with AI.
With AI becoming more deeply integrated into our professional and personal lives, the Indeed analytics team crunched platform data to learn more about AI jobs in 2019. What are the top positions? Which offer the highest salaries? Where are the best opportunities? Some of our findings may surprise you.
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To learn about the most sought-after AI jobs posted on Indeed between 2018 and 2019, our analytics team identified the 10 positions with the highest percentage of job descriptions that include the keywords “artificial intelligence” or “machine learning.”
We discovered that machine learning engineer job postings had the highest percentage of AI and machine learning keywords this year (as they did in 2018). Machine learning engineers develop devices and software that use predictive technology, such as Apple’s Siri or weather-forecasting apps. They ensure machine learning algorithms have the data that needs to be processed and analyze huge amounts of real-time data to make machine learning models more accurate.
While machine learning engineer jobs still have the largest number of postings containing the relevant keywords, in 2018, they composed a greater percentage of these postings (94.2%, versus 75% in 2019).
Many of the jobs requiring AI skills on 2019’s top 10 were nowhere to be found on 2018’s list — such as deep learning engineer, appearing for the first time in second place. Deep learning engineers develop programming systems that mimic brain functions, among other tasks. These engineers are key players in three rapidly growing fields: autonomous driving, facial recognition and robotics. The global facial-recognition market alone is poised to grow from $3.2 billion in 2019 to $7 billion by 2024, according to one study.
Other new jobs that made it on 2019’s top 10 list are:
Conversely, director of analytics; statistician; principal scientist; computer scientist; research engineer; and data engineer jobs are former contenders missing in action this year.
The year-over-year differences could reflect the growing demand for data scientists at all types of companies; many employers now need a whole data science team, with staff from junior to director levels. By comparison, the 2018 list contained data science jobs that were more generic, such as data scientist, principal scientist and computer scientist. Hiring for a range of experience levels appeals to a wider range of talent, which can help organizations better compete in the tight labor market.
Machine learning engineer is not only the top AI job in terms of the number of job postings, it also commands one of the highest paychecks. And it’s the role with the biggest boost in average annual salary, as compared to 2018.
Machine learning engineer topped our list for highest paying job this year, after coming in third in 2018. The salary has grown as well as the ranking — this year the average annual salary for this position is $8,409 higher than last year’s. That’s an increase of 5.8%, compared to the average 2.9% salary increase that human resources firm Mercer predicted for 2019.
Similarly, an algorithm engineer’s average annual salary rose to $109,313 this year — an increase of $5,201, or 5%. Both salary bumps are likely a result of organizations’ spending more to attract talent to these crucial roles in a competitive AI job market.
As with our previous list, the positions that top the salary rankings show an evolution and maturation of the overall AI market. More generalized positions such as director of analytics, data engineer, computer scientist, statistician and research engineer were all on 2018’s list but didn’t crack the top 10 this year. New positions taking their place on 2019’s list include more differentiated data science jobs, such as senior data scientist and lead data scientist.
Compared to last year, 2019’s ranking of metropolitan areas with the largest percentages of AI jobs hasn’t changed significantly — though there are a few shifts, as well as a newcomer.
This table shows the cities with the highest share of AI jobs: 1) New York, NY, 2) San Francisco, CA, 3) Washington, D.C., 4) San Jose, CA, 5) Seattle, WA, 6) Boston, MA, 7) Los Angeles, CA, 8) Chicago, IL, 9) Dallas-Fort Worth, TX, 10) Atlanta, GA
Note:
The Occupational Outlook Handbook (OOH) is a career resource offering information on the hundreds of occupations that provide most of jobs in the United States. Each occupational profile describes the typical duties performed by the occupation, the work environment of that occupation, the typical education and training needed to enter the occupation, the median pay for workers in the occupation, and the job outlook over the coming decade for that occupation. Each profile is in a standard format that makes it easy to compare occupations, such as by projected employment change.
