Full-Stack vs ML Engineer

Put two roles head to head — any role, in any location or worldwide-remote.

Side A

Side B

ML Engineer pays about 5% more at the median.

Side-by-side distribution

Full-Stack ML Engineer
$192.5k
$201.2k
$96k box = 25th–75th · whiskers = 10th–90th $315.1k

Full-Stack

$192,500

median · per year, annualized USD

$150k 25th
$192.5k Median
$231.7k 75th
$111.1k
$285.6k
Box 25th–75th · whiskers 10th–90th Full range $6k – $1,500k · outliers off-axis
Disclosing
19.8%
Live roles
18,589

ML Engineer

$201,230

median · per year, annualized USD

$165k 25th
$201.2k Median
$245k 75th
$122.5k
$300k
Box 25th–75th · whiskers 10th–90th Full range $9.9k – $999k · outliers off-axis
Disclosing
23%
Live roles
12,788

Full-Stack vs ML Engineer: which pays more?

The median for Full-Stack is $192,500 per year (typically $150,000–$231,700), versus $201,230 for ML Engineer ($165,000–$245,000). That puts ML Engineer about 5% ahead at the median.

Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Full-Stack and ML Engineer are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.

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