Machine Learning Engineers working remote in the US earn normally around 115,000 USD per year and most of the ML, AI salaries are between 83,200 USD and 175,000 USD per year.
If you earn less than 83,200 USD then it might be the time to speak with your boss to get a raise or to look for a new Machine Learning Engineer job remote in the US.
If you want to check the stats for a different technology or city, select it below (not all options have enough data yet):
| Market Percentile | salary |
|---|---|
| top 10% of market | 175,000 USD |
| top 25% of market | 165,000 USD |
| average salary | 125,900 USD |
| median salary | 115,000 USD |
| bottom 25% of market | 83,200 USD |
| bottom 10% of market | 83,200 USD |
The average salary for Machine Learning Engineers remote in the US is 125,900 USD per year, while the median salary is 115,000 USD per year - where does the difference between average and median come from?
The average salary is calculated as the sum of all salaries divided by the number of them. The median salary is the one that the typical Machine Learning Engineer earns, which means, exactly 50% earn more than 115,000 USD and 50% earn less than this.
The difference occurs because often there are a few very high outlier salaries, which drag the average salary value up. Therefore, if you compare your salary to the market, it is better to look at the median value.
The top 25% best earning Machine Learning Engineers earn more than 165,000 USD per year and the top 10% reach over 175,000 USD, which is quite a nice compensation and something to strive for.
At the same time, 25% of the lowest earning Machine Learning Engineers earn less than 83,200 USD per year and 10% earn less than 83,200 USD.
You have to be aware that the salaries for Machine Learning Engineers can vary a lot in different states. This page shows the salaries remote in the US, but you can select a different state below:
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