ML Engineer vs Quantitative Analyst

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

Side A

Side B

ML Engineer pays about 3% more at the median.

Side-by-side distribution

ML Engineer Quantitative Analyst
$205.8k
$200k
$99k box = 25th–75th · whiskers = 10th–90th $314.9k

ML Engineer

$205,841

median · per year, annualized USD

Median over time ▲ +2.5%
$200,800 $205,841
$175k 25th
$205.8k Median
$250.8k 75th
$142.8k
$300k
Box 25th–75th · whiskers 10th–90th Full range $5.3k – $1,000k · outliers off-axis
Disclosing
42.4%
Live roles
1,747

Quantitative Analyst

$200,000

median · per year, annualized USD

Median over time ▲ +15.1%
$173,691 $200,000
$150k 25th
$200k Median
$237.5k 75th
$113.9k
$300k
Box 25th–75th · whiskers 10th–90th Full range $69.2k – $400k · outliers off-axis
Disclosing
26.7%
Live roles
206

Top companies hiring

Company Median Roles
Reddit $276,000 18
Pinterest $260,867 18
Motional $185,500 17
Roblox $297,743 14
Airbnb $274,500 14
Torc Robotics $249,000 11
Nuro $242,540 10
Applied Intuition $173,500 10

Top companies hiring

ML Engineer salary by location

Location Median Roles
San Francisco $240,000 168
Austin $230,000 12
New York $225,000 102
Seattle $212,444 41
Los Angeles $205,000 11
Boston $200,000 42
Toronto $195,000 27
Paris $185,000 6
Denver $175,000 5
Atlanta $174,825 8

Quantitative Analyst salary by location

Location Median Roles
Singapore $300,000 3
San Francisco $229,500 4
London $223,120 8
Chicago $200,000 15
Boston $200,000 4
New York $197,500 22

ML Engineer vs Quantitative Analyst: which pays more?

The median for ML Engineer is $205,841 per year (typically $175,000–$250,750), versus $200,000 for Quantitative Analyst ($150,000–$237,500). That puts ML Engineer about 3% ahead at the median.

Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so ML Engineer and Quantitative Analyst 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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