Machine Learning, Dev Positions Dominate Survey of Top U.S. Jobs for 2019

Job search site recently released its list of "Best Jobs in the U.S.: 2019" and machine learning engineer is No. 1 on the list, followed closely by full-stack developer at No. 3.

"We 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)," the company explained of its rankings.

Machine learning engineer, which the survey points out often requires a master's degree and/or additional education, offers an average salary of $146,085 U.S. and saw 344 percent growth in the past year. Full-stack developer came in with an average salary of $114,316 and 206 percent growth over the past year.

Many more technical -- particularly development-related -- positions made the list:

  • Salesforce developer: No. 10 with 129 percent growth and average salary of $112,031
  • Robotics engineer: No. 11 with 128 percent growth and average salary of $99,007
  • Computer vision engineer: No. 12 with 116 percent growth and average salary of $158,303
  • Agile coach: No. 18 with 86 percent growth and an average salary of $161,377 (highest on the entire list)
  • Data scientist: No. 22 with 78 percent growth and $131,389 average salary

To view the full list of top 25 positions, click here.

About the Author

Becky Nagel is the former editorial director and director of Web for 1105 Media's Converge 360 group, and she now serves as vice president of AI for company, specializing in developing media, events and training for companies around AI and generative AI technology. She's the author of "ChatGPT Prompt 101 Guide for Business Users" and other popular AI resources with a real-world business perspective. She regularly speaks, writes and develops content around AI, generative AI and other business tech. Find her on X/Twitter @beckynagel.