Machine Learning Engineer, which offers an average salary of $146,085, saw 344 per cent growth in job posting
Job search site Indeed.com has ranked machine learning engineer No.1 on its list of best jobs in the U.S for 2019.
Machine learning engineer was listed number four last year. It is followed closely by full-stack developer at No. 3.
These engineers program machines to “learn” and apply intelligence, and the role recently topped Indeed’s list of jobs requiring AI skills.
The company defined ‘best’ as those experiencing the fastest growth (measured by the increase in job postings between 2015 and 2018) and offering the highest pay (using a baseline salary of $75,000).
With an average salary of $146,085 and a whopping 344 per cent growth in job postings, machine learning engineer is described as an extremely promising position. The job requires a master’s degree and/or an online certification course.
The role of full-stack developer remains in high demand
Full-stack developer, which ranked second on last year’s list, commands an impressive average salary of $114,316. The job has grown 206 per cent in terms of job postings over three years.
Full-stack developers work on both the front end of web applications (the visual elements users interact with) and the back end (the coding and software that makes apps function). Tech jobs dominate the list
Interestingly, nine of this year’s 25 best jobs are in the tech field. Some roles are technical, requiring significant investments in education and training for job seekers: machine learning engineer (No.1); full-stack developer (No.3); salesforce developer, (No.10); robotics engineer (No.11); computer vision engineer (No.13); and data scientist (No. 22).
Some of the other top tech roles are less technical, such as senior product designer (No.12), product owner (No. 15) and agile coach (No.18). Agile coach also commands the highest average tech-job salary, at $161,377).
Indeed has compiled this list by including jobs with an average base salary of at least $75,000 and at least 20 job postings per 1M total postings, combined with growth in share of postings from 2015 to 2018.