ML Engineer - Revenue & Personalization Systems
Discord · Salem, Oregon
$272,000 - $340,000
Tailor & apply →Pay ranges below come from 84 current machine learning engineer listings that disclose salary nationwide, updated daily. We only show what employers actually post — never estimates.
Median base pay · nationwide
from 84 disclosed ranges
$166,300/yr
Not enough San Diego disclosures yet — this reflects Machine Learning Engineer pay across all US locations in our feed.
Highest disclosed figure per employer in the current feed.
Climbr scores live machine learning engineer roles against your real resume, shows the pay where it's listed, and tailors your resume per job so you can target the higher offers. Free to start.
Build my free resume →Real current listings, highest disclosed pay first.
Discord · Salem, Oregon
$272,000 - $340,000
Tailor & apply →Reddit, Inc. · United States
$230,000 - $322,000
Tailor & apply →Hewlett Packard Enterprise Development LP · Fall Creek, Wisconsin
$157,000 - $361,000
Tailor & apply →Zillow Group · United States
$199,000 - $318,000
Tailor & apply →1st Avenue Power · United States
$237,000 - $258,000
Tailor & apply →Blend360 · Columbia, South Carolina
$200,000 - $290,000
Tailor & apply →Seniority
Years of experience and scope are the biggest lever — senior machine learning engineer roles routinely clear the top of the range above.
Company & industry
Larger and high-margin employers pay more for the same machine learning engineer title than smaller or non-profit ones.
Local market
Cost of living and local demand shift San Diego offers up or down versus the national figure.
Based on 84 disclosed ranges in our current feed (nationwide — we don’t yet have enough San Diego-specific data), the median is around $166,300 per year. Actual pay varies by experience, company, and specialty.
Real job listings in Climbr's feed that publish a salary range, refreshed daily and annualized for comparison. We don't use survey estimates or model-generated figures — if employers don't post pay, we don't show a number.
Target the higher-paying employers above, tailor your resume to each role so it clears applicant screens, and negotiate against the posted range. Climbr scores your resume against each job and rewrites bullets to match — free to start.