Machine Learning Engineer with git

Salary distribution for Machine Learning Engineer postings that mention git.

Updated

Machine Learning Engineer postings that mention git post a p50 of $196k across 20 disclosed-salary observations. That's 14% above the all-bands Machine Learning Engineer median — useful as a "stack premium" signal for offer negotiation. Band width (p25 – p90) spans $144k – $310k.

p25

$144k

p50

$196k

p75

$275k

p90

$310k

Sample size: 20 postings

Top companies hiring Machine Learning Engineer

Reflects all Machine Learning Engineer postings — not narrowed to git.

Machine Learning Engineer by city

Pair this stack with a city to narrow the band further.

  • SF26 postings · p50 $310k
  • Remote25 postings · p50 $125k
  • Seattle20 postings · p50 $114k
  • US-Other14 postings · p50 $216k
  • NYC14 postings · p50 $187k

Frequently asked questions

Do Machine Learning Engineer postings that mention git pay more than average?
Postings mentioning git post a p50 of $196k. Compare to the all-bands Machine Learning Engineer p50 in the table above to see whether git represents a premium.
What's the sample size behind this Machine Learning Engineer benchmark?
20 disclosed-salary Machine Learning Engineer postings that mention git over the trailing 26 weeks. Postings without a disclosed salary range are excluded from the percentile computation.
How does this compare to the broader Machine Learning Engineer market?
The "All Machine Learning Engineer levels" link below opens the full role × level matrix so you can see the per-level p25/p50/p75/p90 for the whole population, not just this slice.

Methodology

See the salary percentiles methodology.

← All Machine Learning Engineer levelsgit stack overview