In Austin, a mid-level Machine Learning Engineer earns around $167k per year. The full market range runs from $128k to $220k depending on seniority. Austin has emerged as a major US tech hub. Salaries trail San Francisco but have risen sharply as major companies expanded there.
Below you'll find salary bands by experience level, plus a breakdown of what's considered a strong, fair, or weak offer for this market.
Estimates based on public benchmarks and modelled data. How we calculate →
Gross annual base salary estimates · 2026 · Public benchmarks + structured modelling · Methodology →
Gross annual base salary estimates for 2026. Bonuses and equity not included.
Knowing the market range is step one. The real question is where your specific offer sits within it — and how much room you have to negotiate. If your offer is in the bottom 30% for your role and location, there's a strong case to push back.
Use the CompVerdict tool to get your verdict instantly. No signup, no email. You'll also get a ready-to-send negotiation script based on your exact offer.
Check this offer →The median Machine Learning Engineer salary in Austin is $167k per year for mid-level experience (3–5 years). The range runs from $128k at the 25th percentile to $220k at the 75th percentile. Senior Machine Learning Engineers typically earn around $268k or more. These are gross annual base salary estimates.
A Machine Learning Engineer offer in Austin is competitive if it reaches the 75th percentile for your experience band — around $220k for mid-level (3–5 years). If your offer is below $128k, there's a clear case to negotiate. Use the tool above to check your specific offer against the market.
For a mid-level Machine Learning Engineer in Austin, the market median is $167k. A strong ask targets $220k or above. If your offer is below $128k, open negotiations by anchoring at the median — that's $167k. Always lead with market data rather than personal need when negotiating.
If your offer is below the 75th percentile for your experience band, negotiating is almost always worth it. Most companies expect negotiation — the first offer is rarely the best possible offer. The risk of asking politely is low; the cost of not asking can compound over years through salary anchoring effects.
Experience is the strongest driver of Machine Learning Engineer compensation in Austin. Junior roles (0–2 years) typically earn 55–70% of the mid-level median. Senior roles (6+ years) typically earn 125–150% of mid-level. Staff / lead roles can reach 150–200% depending on scope and company stage.
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Most companies expect a counter-offer — and the first offer is rarely the best possible offer. Get a step-by-step negotiation playbook built around the exact market data for Machine Learning Engineers in Austin.
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