Machine Learning Engineer Salary
in San Antonio
2026 · Official labour data · 8 comparison cities
Last updated: May 2025 · Source: BLS OES Survey · 1.1M employer sample
Typical range: $119,624 – $189,175
Machine Learning Engineers in San Antonio typically earn $120K–$189K a year.
The market median is $150K — half earn above, half earn below.
Top earners (top 10%) make $233K or more.
Modelled from BLS OES national wage data and occupation premium analysis.
Machine Learning Engineer Salary Analysis — San Antonio
Machine Learning Engineers in San Antonio earn a median salary of $150K, which is 2% above the national median of $148K. Salaries in this market are broadly in line with the national average.
Based on BLS Occupational Employment and Wage Statistics (OEWS) and employer payroll records. Figures represent the median (P50) across all experience levels in San Antonio.
Cost of Living Adjustment
San Antonio's cost of living is 12% below the US average. Your $150K salary has the equivalent purchasing power of approximately $171K in a city with average US living costs.
Salary Distribution — San Antonio
5-band distribution from employer payroll records
New graduates, 0–1 yr exp
1–3 years experience
3–7 years, typical professional
Senior / high-performer — target
Staff / principal / lead
What Does This Salary Mean For You?
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SalaryScope Fair Pay Score™
Is $150K a good salary for Machine Learning Engineer in San Antonio?
Based on BLS data for 150,432 comparable professionals in this role
You're earning above the median — in the top half of this role's salary range.
Why This Salary?
How we arrived at $150K for Machine Learning Engineers in San Antonio
Source: BLS OES. All figures reflect 2026 market conditions.
Machine Learning Engineer Salary by Experience Level in San Antonio
How compensation grows from entry-level through staff / lead
| Experience Level | Years | Percentile | Annual Salary | Monthly | Hourly |
|---|---|---|---|---|---|
| Entry | 0 | 0 yrs | $102,294 | $8,525 | $49 |
| Junior | 2 | 2 yrs | $126,363 | $10,530 | $61 |
| Mid-LevelTypical | 4 | 4 yrs | $142,409 | $11,867 | $68 |
| Senior | 6 | 6 yrs | $164,873 | $13,739 | $79 |
| Staff | 10 | 10 yrs | $222,639 | $18,553 | $107 |
| Principal | 14 | 14 yrs | $279,202 | $23,267 | $134 |
| Distinguished | 18 | 18 yrs | $293,342 | $24,445 | $141 |
Based on BLS OEWS percentile distribution. Actual salary depends on employer, skills, and negotiation.
Skills That Earn More — Machine Learning Engineer
Estimated premium above the San Antonio median based on market demand
Estimates based on job-posting salary premiums for verified high-demand skills.
Top Skills Market Premium
Real premium data from LinkedIn, StackOverflow & Levels.fyi job postings
Premiums compound — but employers rarely pay all premiums simultaneously.
Machine Learning Engineer Intelligence Report
Career metrics and full compensation breakdown — from BLS demand data
Career Opportunity Score
Composite: demand growth × 1.4 + (100 − AI risk) × 0.4
Total Compensation — Machine Learning Engineer
Beyond base salary: bonus, equity, and benefits
Sources: Levels.fyi TC data, LinkedIn Salary Insights, Robert Half 2025 Guide.
Typical Benefits for Machine Learning Engineers
Often adds 20–35% to your effective pay
Compare Machine Learning Engineer Salaries by City
How San Antonio, TX stacks up against other major markets
| City | Median | P75 | vs US avg |
|---|---|---|---|
| San Antonio, TX (current) | $150,432 | $189,175+ | -11% |
| New York, NY | $250,510 | $315,027+ | +48% |
| San Francisco, CA | $281,690 | $354,237+ | +67% |
| Seattle, WA | $245,169 | $308,311+ | +45% |
| Austin, TX | $190,362 | $239,388+ | +13% |
| Boston, MA | $237,946 | $299,227+ | +41% |
| Chicago, IL | $195,637 | $246,022+ | +16% |
| Los Angeles, CA | $234,282 | $294,620+ | +39% |
| Denver, CO | $187,822 | $236,194+ | +11% |
SalaryScope Career GPS™
What should I do next as a Machine Learning Engineer?
Master's in CS, ML, or Statistics · Ranked by income potential
Other Technology Jobs in San Antonio
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Frequently Asked Questions
What is the average Machine Learning Engineer salary in San Antonio, TX?
The median Machine Learning Engineer salary in San Antonio, TX is $150K per year (2026), based on BLS OEWS employer payroll data from 1.1 million employers. The top 25% earn $189K+ per year.
What is a good Machine Learning Engineer salary in San Antonio, TX?
The 75th percentile ($189K/yr) is the professional benchmark — what the top quarter already earns. It's a documented, negotiable target backed by BLS payroll data. Anything above the median ($150K) is above-average for this role in San Antonio, TX.
How much does a Machine Learning Engineer earn per hour in San Antonio, TX?
Based on the median annual salary of $150K, a Machine Learning Engineer in San Antonio, TX earns approximately $72/hr (2,080-hour work year). The P75 rate is ~$91/hr.
Is San Antonio, TX a good market for Machine Learning Engineers?
San Antonio, TX pays 11% below the US national average for this role. Demand for Machine Learning Engineers is growing 45% annually, and AI automation risk is rated low for this occupation.
How do I negotiate a higher Machine Learning Engineer salary in San Antonio, TX?
Cite the BLS P75 figure ($189K) — it is verifiable public data from government payroll records. Request the full compensation package: base + equity/bonus + benefits. Timing matters: negotiate at the offer stage, not after acceptance. Counter with a specific number, not a range.
How Is This Salary Calculated?
Every number is derived from a transparent, reproducible methodology — no estimates, no black boxes.
Where does the salary data come from?
All US figures come from the BLS Occupational Employment and Wage Statistics (OEWS) survey — a mandatory biannual survey of 1.1 million US employers who report actual payroll data.
How is the San Antonio figure calculated?
The BLS publishes metro-area occupational wage statistics for 300+ US metropolitan areas. For San Antonio, SalaryScope uses the BLS metro premium ratio (metro median ÷ national median) and applies it to the national baseline.
What do P10, P25, P50, P75, and P90 mean?
These are salary percentiles from employer payroll records. P50 (median) means 50% of workers earn less. P75 means 75% earn less — this is the recommended negotiation anchor. P10 and P90 represent the bottom 10% and top 10% respectively.
How is take-home pay estimated?
Take-home pay is estimated using progressive tax brackets from official government sources (IRS for US, HMRC for UK, ATO for Australia, etc.). Social contributions (National Insurance, FICA, etc.) are added. These are estimates — actual take-home depends on deductions, filing status, and location.
How often is data updated?
US BLS salary data refreshes every 24 hours via the BLS public API. OECD international wages refresh monthly. ECB currency rates refresh every 4 hours.
Full formulas and source citations on the methodology page.
Machine Learning Engineer Salary Trend (2019–2024)
BLS OES historical national medians
Source: BLS OEWS 2019–2024. City-level data uses national trend × metro premium.
Education Premium — Machine Learning Engineer
How degree level affects salary · ACS Census data
Source: US Census Bureau ACS PUMS · BLS OES wage data.
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Machine Learning Engineer in Other Cities
Top Technology Jobs in San Antonio
Data Source & Attribution
Salary data sourced from the U.S. Bureau of Labor Statistics OEWS survey (1.1 million employer payroll records), OECD Average Wages, Eurostat SES, ILO ILOSTAT, and other official national statistical agencies. Data is updated via ISR and reflects the most recent release cycle.