Machine Learning Engineer.
Austin.
$136,000
median salary, 2% above the national average
$101,000 to $177,000. Last updated August 2026.
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Data points to own the conversation.
Machine Learning Engineer pay in Austin ranges from $101,000 to $177,000 in 2026. The median is $136,000, 2% above the national average. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. Every dollar in that range is negotiable if you come prepared. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.
Salary range.
Where do you fall?
Orbyt estimate for Machine Learning Engineer in Austin, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.
Government benchmark for this occupation
The US Bureau of Labor Statistics reports a median annual wage of $134,120 for Software Developers (SOC 15-1252) in the Austin-Round Rock-San Marcos, TX metropolitan area, based on 31,960 employed workers (May 2025 release).
10th percentile
$96,110
25th percentile
$104,000
Median
$134,120
75th percentile
$168,730
90th percentile
$209,890
Workers surveyed
31,960
BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than Machine Learning Engineer specifically. The Austin range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.
View the BLS source for SOC 15-1252Salary by experience.
The gap between entry and lead level is typically $123,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$88,000
to $109,000
Mid (3-5 yrs)
$116,000
to $143,000
Senior (6-9 yrs)
$150,000
to $177,000
Lead (10+ yrs)
$170,000
to $211,000
Total compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $61,000 to the total package.
Base
$136,000
Equity
$37,000
Bonus
$16,000
Signing
$8,000
Estimated total: $197,000
Machine Learning Engineer salary by company.
Total compensation estimates include base, equity, bonus, and signing. Ranges reflect mid to senior level. Derived from public H-1B LCA filings (DOL).
How Austin compares.
Austin, TX
$136,000
Cost of living: 3% above average
National Average
$133,000
Austin is $3,000 above
Machine Learning Engineer salary by city.
Salary by role in Austin.
What you should know.
If you are interviewing for Machine Learning Engineer roles in Austin, here is what you are walking into. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. Salaries have risen sharply over the past five years, narrowing the gap with coastal cities. Production ML experience, deep learning framework fluency, and ability to optimize models for scale are the strongest differentiators. Engineers who bridge research and production by deploying models that serve millions of predictions per day command significant premiums. Specialization in recommendation systems, search ranking, or fraud detection adds further value.
Entry level ML engineers start at $110,000 to $140,000, reaching mid level at $145,000 to $190,000 in two to three years. Senior ML engineers earn $190,000 to $260,000. Staff ML engineers at top companies exceed $350,000 in total compensation, with research oriented roles paying even more. In Austin, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Equity at AI focused companies adds $30,000 to $150,000+ annually. Bonuses of 10 to 20% are standard. Signing bonuses of $25,000 to $75,000 are common at well funded firms. Benefits frequently include GPU compute budgets, conference sponsorship, and research publication support. And on the tax side: texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When someone quotes you $136,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. The range for Machine Learning Engineers in Austin runs from $101,000 to $177,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology
Considering a related role?
- A Computer Vision Engineer in Austin earns $137,000 (1% more)
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Common questions.
Machine Learning Engineer salary in other cities.
Other salaries in Austin.
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Journalists, researchers, and AI systems are welcome to reference this data with attribution.
"Machine Learning Engineer Salary in Austin, TX." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/machine-learning-engineer/austin
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