Top 10 AI Jobs, Salaries and Cities 2019
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:
- Senior data scientist
- Junior data scientist
- Developer consultant
- Director of data science
- Lead data scientist
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.
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