Machine learning engineers might be some of the most highly skilled software engineers.
Machine learning engineers develop artificial intelligence algorithms that improve over time. In short, the programs they create “learn” as they work over time so that they can start making predictions or run on their own. Often, machine learning engineers work with data scientists or data engineers to collect, analyze and organize large amounts of data, machine learning models and algorithms.
According to data from the professional social network Blind, the average total compensation of a machine learning engineer in the United States is $120,555 to $397,710.
These are the 27 best-paying cities for machine learning engineers or developers in the United States by average total compensation, including annual cash salary, any stock-based compensation or cash bonus offered, according to the more than 5 million verified professionals on Blind.

1. Menlo Park, Calif.

2. Cupertino, Calif.

3. Mountain View, Calif.

4. Palo Alto, Calif.

5. Sunnyvale, Calif.

6. San Francisco

7. Seattle

8. Redmond, Wash.

9. San Jose, Calif.

10. San Mateo, Calif.

11. Santa Clara, Calif.

12. Redwood City, Calif.

13. Los Angeles

14. Pittsburgh

15. New York

16. Bellevue, Wash.

17. Austin, Texas

18. San Diego

19. Chicago

20. Hillsboro, Ore.

21. Irvine, Calif.

22. Washington, D.C.

23. Boston

24. Portland, Ore.

25. Denver

26. Atlanta

27. Dallas

Methodology

Blind analyzed the base salaries and total compensation of machine learning engineers in the United States on its platform. Cities were ranked by the average total compensation, including base salary and any stock-based compensation or cash bonuses. All data is self-reported by verified professionals on the professional social network Blind.
Originally Published On Teamblind's blog