Bottom quarter
$127K
Machine Learning (ML) Engineering Salary in Richmond
What you should make. What you should ask for. Calculated from 1M+ data points, refreshed monthly.
Median
$152K
Top quarter
$177K
Top 10%
$198K
Adjusted for Richmond at 1.01× the national baseline. See the math →
What this number means.
Machine Learning (ML) Engineering in Richmond pulls a median of $151,500 at mid-career, with a top-quartile band reaching $176,750 and the top 10% at $197,960. Richmond's cost-of-living tilt is 1.01× — the band reflects that. $176,750 is what top-quartile Machine Learning (ML) Engineering pay looks like in Richmond. Don't undersell.
How to negotiate this
- Anchor$176,750 — the top-quartile number. This is the number you say first.
- Target$164,125 — where a fair counter lands. Above the median, below the anchor.
- Floor$151,500 — below this, you're underpaid. Walking away gets cheaper than staying.
Carry the math. Not the maybe.
AMMO is the corner man for the conversation that decides your year. Real pay data, an offer grader, and counter language drafted from your numbers. Get on the list before iOS launch.
Get on the AMMO list →Keep digging.
Machine Learning (ML) Engineering elsewhere
Adjacent metros
Read how these numbers are computed →
Numbers are estimates. Your offer depends on the company, the level, the stock piece, and the conversation you're about to have. AMMO is a tool. You are the negotiator.