Engineering · United States
Machine Learning Engineer Salary in Austin, TX$121,017–$157,183 in 2026
Machine learning engineering is having a moment — and the salaries in Austin, 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 $121,017 and $157,183, with the median around $139,100. If you have production LLM experience, push toward the top of that range.
Machine Learning Engineer Salary in Austin — 2026 Overview
Entry Level
$105,716
0–2 years
Mid-Level
$139,100
3–5 years
Senior
$180,830
6–10 years
| Experience | Low | Median | High |
|---|---|---|---|
| 0–2 years | $93,030 | $105,716 | $118,402 |
| 3–5 years | $121,017 | $139,100 | $157,183 |
| 6–10 years | $157,322 | $180,830 | $204,338 |
| 11+ years | $197,383 | $229,515 | $261,647 |
Data reflects base salary for Machine Learning Engineers in Austin, 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 Austin
Austin has transformed from a regional tech hub into a genuine competitor for talent — driven by Tesla, Apple, and Oracle relocations, a growing startup scene, and a steady stream of Bay Area remote workers permanently relocating.
No state income tax in Texas is Austin's headline financial advantage. Housing costs have risen significantly — a downtown one-bedroom now runs $1,800–$2,600/month — but it remains notably cheaper than San Francisco or NYC.
Top Austin employers hiring Machine Learning Engineers
Machine Learning Engineer Job Market in Austin: Demand & Hiring Outlook
Austin 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 Austin Actually Negotiate For
Base salary is only the starting point. The most experienced negotiators in Austin 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 $16,692–$34,775 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 Austin
Not all Machine Learning Engineers in Austin 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 $157,183 and above.
Is your Machine Learning Engineer offer in Austin fair?
You now have the market range: $121,017–$157,183. 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.
No credit card · Takes 3 minutes
🛡️ Negotiate more than $19 back — or we refund you. No questions asked.
Frequently Asked Questions
What is the average Machine Learning Engineer salary in Austin, TX?
The median Machine Learning Engineer salary in Austin, TX is $139,100 for someone with 3–5 years of experience. Across all experience levels, the range runs from $93,030 for entry-level through to $261,647 for highly experienced or specialised professionals.
Is $121,017–$157,183 a good Machine Learning Engineer salary in Austin?
Yes — for a mid-level Machine Learning Engineer in Austin, TX, $121,017–$157,183 represents the market rate in 2026. If your offer falls significantly below $121,017, it's worth negotiating or understanding why the company is below the market benchmark. Offers above $157,183 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 Austin?
Senior Machine Learning Engineers and people moving into Staff ML Engineer / Principal AI Engineer roles typically earn $157,322–$261,647 in Austin, 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 Austin?
The first step is anchoring to market data — you now know the range is $121,017–$157,183. 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 Austin, TX?
It depends on the company's policy. Austin, TX-based companies that allow full remote work sometimes adjust salaries to local market rates if you relocate — but many still pay the Austin band ($121,017–$157,183) 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 Austin, TX, the jump from mid-level (around $139,100) to Staff ML Engineer / Principal AI Engineer level typically adds 30–50% to base salary, pushing total compensation well above $261,647. 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.