BenchmarkedCheck my pay

VP, ML Operations and Platform salary

What a VP, ML Operations and Platform (level E1, Vice President) is paid in 2026 in the highest-paying US markets.

Modeled estimate · Updated October 2026

Median base salary, San Francisco Bay Area, New York, Seattle

$451,000

Most companies pay between $343,000 and $559,000.

Median $451k $343k25th$559k75th

The shaded middle is where most companies aim. Anything inside it is normal pay for this level and market.

The full range

Every market, the 10th to 90th percentiles, bonus, equity, and new hire grants, adjusted for your industry and company size.

Included with Pro, along with ranges for all 100 roles and the pay coach.

See the full range

Is your pay in this range?

Enter your salary and see your percentile for this role, level, and city. Free, no account needed, and nothing you type is stored.

Check my pay

MLOps Engineer pay by level

Median base salary, top-tier markets.

TitleMedian base
Associate Manager, ML Operations and PlatformM2 Associate Manager$216k
Manager, ML Operations and PlatformM3 Manager$250k
Senior Manager, ML Operations and PlatformM4 Senior Manager$291k
Director, ML Operations and PlatformM5 Director$345k
Senior Director, ML Operations and PlatformM6 Senior Director$390k
VP, ML Operations and PlatformE1 Vice President$451k

All MLOps Engineer levels

Related roles at E1

Questions

How much does a VP, ML Operations and Platform make?

In the San Francisco Bay Area, New York, and Seattle, the modeled median base salary for a VP, ML Operations and Platform is $451,000, with most companies paying between $343,000 and $559,000. Pay in other cities, bonus, and equity are in the full range on Benchmarked.

How do I know if I am underpaid?

Pay below the 25th percentile for your level and market is below what most companies target. Check your salary against this range to see your percentile, then use that number in a conversation with your manager.

Where do these numbers come from?

They are modeled estimates built by compensation practitioners from publicly discussed pay and from how companies typically structure salary ranges by level and location. They are not survey results and not any company's actual ranges. Use them to get oriented before a pay conversation, not as an exact offer number.