Engineering · United States

Machine Learning Engineer Salary in Dallas–Fort Worth, TX$112,639$146,301 in 2026

Machine learning engineering is having a moment — and the salaries in Dallas–Fort Worth, TX reflect it. The combination of software engineering rigour and ML expertise puts this discipline at the top of the compensation table for most tech companies. Mid-level ML engineers here earn between $112,639 and $146,301, with the median around $129,470. If you have production LLM experience, push toward the top of that range.

Machine Learning Engineer Salary in Dallas — 2026 Overview

Entry Level

$98,397

0–2 years

MEDIAN

Mid-Level

$129,470

3–5 years

Senior

$168,311

6–10 years

ExperienceLowMedianHigh
0–2 years$86,589$98,397$110,205
3–5 years$112,639$129,470$146,301
6–10 years$146,431$168,311$190,191
11+ years$183,718$213,626$243,534

Data reflects base salary for Machine Learning Engineers in Dallas–Fort Worth, TX, 2026. Figures exclude bonus, equity, and benefits. Sources: market surveys, job postings, and aggregated offer data.

Why Machine Learning Engineer Salaries Are This Level in Dallas

DFW is one of the fastest-growing tech markets in the US, anchored by AT&T, TI, and a strong enterprise tech ecosystem. Financial services and telecom create consistent demand for engineers. Salaries trail Austin slightly but are rising.

No state income tax in Texas is a significant financial advantage. DFW housing is reasonable — a quality one-bedroom in Uptown Dallas or Plano runs $1,400–$2,000/month — making total compensation very competitive on a cost-adjusted basis.

Top Dallas employers hiring Machine Learning Engineers

AT&TTexas InstrumentsMatch GroupKimberly-ClarkMcKessonCelaneseSabre

Machine Learning Engineer Job Market in Dallas: Demand & Hiring Outlook

Dallas has established itself as a credible engineering hub, with a growing cluster of tech companies that compete seriously for Machine Learning Engineers. Salaries sit meaningfully below tier-one markets like San Francisco or London, but so does the cost of living — making the purchasing power of an engineering salary here competitive. Hiring demand has been steady, and Machine Learning Engineers with strong fundamentals rarely stay on the market long.

What Machine Learning Engineers in Dallas Actually Negotiate For

Base salary is only the starting point. The most experienced negotiators in Dallas push for the full package — and the employers who want you badly enough will move on more than just base.

  • Equity
  • Research time
  • GPU compute budget
  • Conference access
  • Publication rights

Many Machine Learning Engineers leave $15,536$32,368 on the table annually by not negotiating these elements. A signing bonus alone can be worth one to two months' salary — and it doesn't affect your base going forward.

Skills That Command the Highest Machine Learning Engineer Salaries in Dallas

Not all Machine Learning Engineers in Dallas earn the same — and the gap between the lower and upper end of the salary range comes down to specific technical and leadership competencies. These are the skills that consistently push offers toward $146,301 and above.

Python
PyTorch/TensorFlow
MLOps
SQL
Statistics
LLM fine-tuning

Is your Machine Learning Engineer offer in Dallas fair?

You now have the market range: $112,639$146,301. The next step is knowing exactly where your specific offer sits — and getting the word-for-word script to negotiate it. SalaryAsk benchmarks your offer against live market data, builds your personalised strategy, and lets you practice the conversation with a virtual hiring manager.

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Frequently Asked Questions

What is the average Machine Learning Engineer salary in Dallas–Fort Worth, TX?

The median Machine Learning Engineer salary in Dallas–Fort Worth, TX is $129,470 for someone with 3–5 years of experience. Across all experience levels, the range runs from $86,589 for entry-level through to $243,534 for highly experienced or specialised professionals.

Is $112,639$146,301 a good Machine Learning Engineer salary in Dallas?

Yes — for a mid-level Machine Learning Engineer in Dallas–Fort Worth, TX, $112,639$146,301 represents the market rate in 2026. If your offer falls significantly below $112,639, it's worth negotiating or understanding why the company is below the market benchmark. Offers above $146,301 typically reflect either a scarce specialisation, a particularly well-funded company, or both.

How much does a Staff ML Engineer / Principal AI Engineer earn in Dallas?

Senior Machine Learning Engineers and people moving into Staff ML Engineer / Principal AI Engineer roles typically earn $146,431$243,534 in Dallas–Fort Worth, TX. At the most senior levels, total compensation (including equity and bonuses) often substantially exceeds the base salary shown here.

How do I negotiate a Machine Learning Engineer salary in Dallas?

The first step is anchoring to market data — you now know the range is $112,639$146,301. The second is understanding your specific leverage: your experience, the company's urgency to hire, and what competing offers or alternatives you have. SalaryAsk walks you through all of this, generates a personalised negotiation strategy, and gives you the exact language to use in the conversation.

Does remote work affect Machine Learning Engineer salaries in Dallas–Fort Worth, TX?

It depends on the company's policy. Dallas–Fort Worth, TX-based companies that allow full remote work sometimes adjust salaries to local market rates if you relocate — but many still pay the Dallas band ($112,639–$146,301) regardless of where you work. If you're negotiating a remote arrangement, it's worth explicitly agreeing on whether the salary is tied to your location or to the role's market rate.

What is the difference between a Machine Learning Engineer and a Staff ML Engineer / Principal AI Engineer in terms of pay?

In Dallas–Fort Worth, TX, the jump from mid-level (around $129,470) to Staff ML Engineer / Principal AI Engineer level typically adds 30–50% to base salary, pushing total compensation well above $243,534. The increase isn't just tenure — it reflects expanded scope, ownership of systems, and the ability to operate without close direction. Companies at the Staff ML Engineer / Principal AI Engineer level also tend to be more flexible on equity and signing bonuses.

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From the SalaryAsk blog