JobsWithPay

Staff inference and ML systems engineer salary

The median posted base pay for staff inference and ML systems jobs is $254K a year, from 505 open jobs at 206 companies. The middle half of the jobs is from $225K to $281K. One job in ten has posted pay above $331K.

Data of . This is posted base pay, not total pay. It does not include stock or a bonus.

Median posted base pay
$254K
Middle half of the jobs
$225K to $281K
10th to 90th percentile
$203K to $331K
Open jobs with posted pay
505
Companies
206

Inference and ML systems engineer pay by level

Posted base pay for inference and ML systems jobs, by the level in the job title. This page is about the staff level. A level needs 20 or more jobs with posted pay.

  • Entry level31 jobs$164K$146K to $193K
  • Level not stated1,753 jobs$220K$181K to $273K
  • Senior913 jobs$212K$185K to $238K
  • Staff505 jobs$254K$225K to $281K
  • Principal178 jobs$260K$218K to $303K
  • Director+127 jobs$276K$235K to $306K
Each band goes from the 10th to the 90th percentile. The darker part is the middle half of the jobs. The line is the median. This is posted base pay, not total pay.
Pay bands by level, inference and ML systems. Posted base pay in US dollars for each year.
Level10th25thMedian75th90thJobs with pay
Entry level$138K$146K$164K$193K$220K31
Level not stated$150K$181K$220K$273K$330K1,753
Senior$162K$185K$212K$238K$269K913
Staff$203K$225K$254K$281K$331K505
Principal$178K$218K$260K$303K$369K178
Director+$200K$235K$276K$306K$350K127

Top-paying companies for staff inference and ML systems jobs

The companies with the highest median posted base pay for staff inference and ML systems jobs. A company name opens its levels in the pay explorer.

  1. 1Anthropic$403K29 jobs
  2. 2Lambda$390K7 jobs
  3. 3Capital One$288K40 jobs
  4. 4Snowflake$283K5 jobs
  5. 5Waymo$281K18 jobs
  6. 6Reddit$276K10 jobs
  7. 7Nuro$273K6 jobs
  8. 8Crusoe$265K18 jobs
  9. 9Anduril Industries$256K5 jobs
  10. 10RoboForce$255K5 jobs
  11. 11DoorDash USA$251K5 jobs
  12. 12Shield AI$250K12 jobs
  13. 13Nscale$245K6 jobs
  14. 14General Motors$238K7 jobs
  15. 15CoreWeave$232K7 jobs
  16. 16Databricks$231K8 jobs
  17. 17Samsung Semiconductor$227K6 jobs
  18. 18Waabi$221K8 jobs
  19. 19d-Matrix$220K8 jobs
  20. 20DigitalOcean$215K11 jobs
The median posted base pay of each company for staff inference and ML systems jobs. We use the middle point of each posted range. A company needs 5 or more jobs with posted pay. This is posted base pay, not total pay.

Staff inference and ML systems engineer pay by US region

The median posted base pay for staff inference and ML systems jobs in each US region, compared with the median of all US jobs.

  • New York100 jobs+11%$283K
  • Bay Area299 jobs+3%$260K
  • Other US cities169 jobs+1%$256K
  • US remote116 jobs−7%$237K
The median posted base pay for staff inference and ML systems in each US region, compared with the median of all US jobs ($254K). A job that lists two regions counts in each region. A region needs 20 or more jobs. This is posted base pay, not total pay.
Pay by region, staff inference and ML systems. Posted base pay in US dollars for each year.
RegionMedian posted base payAgainst the US medianJobs with pay
New York$283K+11%100
Bay Area$260K+3%299
Other US cities$256K+1%169
US remote$237K−7%116
All US jobs$254K0%490

How we compute these numbers

We read each job from the job board of the company and check it every day. We use only open jobs that state a yearly pay range in US dollars. One job counts with the middle point of its posted range. The median is the middle value of these amounts: half of the jobs are above it and half are below it.

We do not use a range with a bottom below $15,000, a top above $1,000,000, or a top that is more than four times the bottom. A role page needs 20 or more open jobs with posted pay. In the bar chart, a company needs 5 or more jobs with posted pay.

The numbers are base pay as the company posted it. They are not the pay of a person, and they do not include stock, a bonus or benefits. For the stock and the bonus that people reported, see Reported pay.