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Optum
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Optum Machine Learning Engineer Salaries

Machine Learning Engineer compensation in United States at Optum ranges from $149K per year for GL27 to $237K per year for GL30. The median yearly compensation package in United States totals $219K. View the base salary, stock, and bonus breakdowns for Optum's total compensation packages. Last updated: 7/21/2026

Average Level
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Level Name
Total
Base
Stock ()
Bonus
GL26
Associate Software Engineer(Entry Level)
$ --
$ --
$ --
$ --
GL27
Software Engineer
$149K
$138K
$0
$11.5K
GL28
Senior Software Engineer
$ --
$ --
$ --
$ --
GL29
Lead Software Engineer
$ --
$ --
$ --
$ --
View 4 More Levels
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Vesting Schedule

25%

YR 1

25%

YR 2

25%

YR 3

25%

YR 4

At Optum, Stock/equity grants are subject to a 4-year vesting schedule:

  • 25% vests in the 1st-YR (25.00% annually)

  • 25% vests in the 2nd-YR (2.08% monthly)

  • 25% vests in the 3rd-YR (2.08% monthly)

  • 25% vests in the 4th-YR (2.08% monthly)

0%

YR 1

50%

YR 2

50%

YR 3

At Optum, Stock/equity grants are subject to a 3-year vesting schedule:

  • 0% vests in the 1st-YR (0.00% annually)

  • 50% vests in the 2nd-YR (4.17% monthly)

  • 50% vests in the 3rd-YR (4.17% monthly)



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FAQ

The highest paying salary package reported for a Machine Learning Engineer at Optum in United States sits at a yearly total compensation of $267,000. This includes base salary as well as any potential stock compensation and bonuses.
The median yearly total compensation reported at Optum for the Machine Learning Engineer role in United States is $212,000.
When negotiating your Machine Learning Engineer offer at Optum, leverage salary data to understand market rates, highlight your relevant experience, and consider all components of the compensation package. Our professional negotiators have helped candidates secure $50K+ more in total compensation.

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