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  1. Benchmarks
  2. Applied AI Engineer
  3. machine learning

Applied AI Engineer with machine learning

Salary distribution for Applied AI Engineer postings that mention machine learning.

Updated Jun 16, 2026

Applied AI Engineer postings that mention machine learning post a p50 of $180k across 15 disclosed-salary observations. That's 6% above the all-bands Applied AI Engineer median — useful as a "stack premium" signal for offer negotiation. Band width (p25 – p90) spans $168k – $265k.

p25

$168k

p50

$180k

p75

$250k

p90

$265k

Sample size: 15 postings

Top companies hiring Applied AI Engineer

Reflects all Applied AI Engineer postings — not narrowed to machine learning.

  • Apple37 roles
  • Databricks25 roles
  • Waymo22 roles
  • xAI17 roles
  • handshake16 roles

Applied AI Engineer by city

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

  • Remote41 postings · p50 $125k
  • Non-US27 postings · p50 $156k
  • NYC20 postings · p50 $193k
  • Seattle16 postings · p50 $169k
  • SF16 postings · p50 $193k

Frequently asked questions

Do Applied AI Engineer postings that mention machine learning pay more than average?
Postings mentioning machine learning post a p50 of $180k. Compare to the all-bands Applied AI Engineer p50 in the table above to see whether machine learning represents a premium.
What's the sample size behind this Applied AI Engineer benchmark?
15 disclosed-salary Applied AI Engineer postings that mention machine learning over the trailing 26 weeks. Postings without a disclosed salary range are excluded from the percentile computation.
How does this compare to the broader Applied AI Engineer market?
The "All Applied AI 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 Applied AI Engineer levels→ machine learning stack overview