SalariesByCity
BLS SOC 15-2041 · Texas · Updated 2026

Machine Learning Engineer Salary in El Paso, TX

Machine Learning Engineers in El Paso, TX earn a median of $85,000/year, ranging from $65,450 (25th percentile) to $136,000 (90th percentile). After Texas state taxes (0%) and cost-of-living adjustments (COL index 85), this is equivalent to $100,000 in purchasing power vs the US average.

Median Annual
$85,000
BLS median
Entry Level (P25)
$65,450
25th percentile
Senior (P75)
$108,800
75th percentile
Top Earners (P90)
$136,000
90th percentile

1Salary Distribution in El Paso, TX

P25
P75
P25
$65,450
Median
$85,000
P75
$108,800
P90
$136,000

2Estimated Take-Home & Purchasing Power

Gross Median Salary
$85,000
Before taxes
Est. Take-Home (After Tax)
$78,540
After 0% state + ~7.6% FICA
COL-Adjusted Purchasing Power
$92,400
vs US average (COL index: 85)

* Estimates only. Does not include federal income tax, 401k, health insurance, or local taxes. Use the Salary Calculator for a detailed breakdown.

3

How Does El Paso, TX Compare?

Nearby and similar metro areas
CityMedianCOL IndexCOL-Adjusted
El Paso, TX (current)$85,00085$100,000
Austin, TX$136,000124$109,677
Dallas, TX$128,000112$114,286
Houston, TX$124,000107$115,888
San Francisco, CA$170,000186$91,398
New York, NY$163,000187$87,166

4Frequently Asked Questions

What is the average Machine Learning Engineer salary in El Paso, TX?

The median Machine Learning Engineer salary in El Paso, TX is $85,000 per year as of 2026 BLS OEWS data. The 25th percentile is $65,450 and the 90th percentile is $136,000.

Is El Paso, TX a good place to work as a Machine Learning Engineer?

El Paso, TX has a cost of living index of 85 (US average = 100). After adjusting for cost of living, a $85,000 Machine Learning Engineer salary in El Paso, TX is equivalent to $100,000 in purchasing power compared to the US average.

What is the cost of living adjustment for El Paso, TX?

El Paso, TX has a cost of living index of 85, meaning it is 15% less expensive than the US average. The state income tax rate in Texas is approximately 0%.

What is the Machine Learning Engineer salary range in El Paso, TX?

In El Paso, TX, Machine Learning Engineers earn between $65,450 (25th percentile) and $136,000 (90th percentile), with a median of $85,000 per year.

How many Machine Learning Engineer jobs are there in El Paso, TX?

According to BLS OEWS data, there are approximately 4,800 Machine Learning Engineer positions in the El Paso, TX metropolitan area.

What do Machine Learning Engineers earn in El Paso, TX?

Based on BLS OEWS 2026 data, Machine Learning Engineers in El Paso, TX earn a median annual wage of $85,000. The middle 50% earn between $65,450 and $108,800. The top 10% earn more than $136,000. There are approximately 4,800 Machine Learning Engineers employed in the El Paso, TX metro area, with annual job growth estimated at 2.8%.

Is El Paso, TX a good place for a Machine Learning Engineer?

El Paso, TX has a cost of living index of 85 (US average = 100), making it 15% less expensive than the national average. After adjusting for cost of living, a Machine Learning Engineer in El Paso, TX earning $85,000has the equivalent purchasing power of $100,000 relative to the US median. Texas has no state income tax, which is a significant financial advantage.

What is the cost of living adjustment for El Paso, TX?

El Paso, TX's cost of living index is 85, based on composite data including housing, food, transportation, healthcare, and utilities. This means that $85,000 in El Paso, TXhas the same purchasing power as $100,000 in a city at exactly the US average cost of living. Housing is typically the largest driver of cost of living differences between metros.

Compare El Paso, TX with Another City

See a detailed side-by-side comparison of salary, taxes, and purchasing power.

Data source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (OEWS) Program. All figures are approximate annual estimates based on the most recent available BLS data. Actual salaries may vary based on experience, education, employer size, and specific role. Cost-of-living data represents composite indices from publicly available metropolitan area data.