Machine Learning salaries in Austin.
What Machine Learning roles in Austin pay, from live listings on JobsRadar.
Compare with anotherMedian salary
$200,000
per year · annualized USD
Typical range
$165k – $215k
25th–75th percentile
Disclosing pay
16.8%
69 of 411 roles
Live roles
411
open right now
Salary trend
median · annualized USDSalary distribution
annualized USD · disclosed rolesHighest-paying jobs
Head of Brand and Content
Layout Engineering Manager
Sr. Account Executive - Defense & Federal
Principal Product Manager, HTS API Marketplace
Machine Learning Engineer
Physical Design Lead
System Engineer
Partner Success Consultant - Commerce
Top companies hiring
| Company | Median | Roles |
|---|---|---|
HackerOne
|
$202,000 | 7 |
|
Fluidstack
|
$223,750 | 6 |
|
Neuralink
|
$206,000 | 5 |
Gallatin
|
$145,000 | 5 |
|
OLIX
|
$250,000 | 4 |
Databricks
|
$214,508 | 4 |
Natera
|
$171,900 | 4 |
Atomic Semi
|
$151,250 | 4 |
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How much do Machine Learning roles in Austin pay?
The median salary for Machine Learning roles in Austin is $200,000 per year. Most pay falls between $165,000 (25th percentile) and $215,004 (75th percentile), with the broader 10th–90th percentile band running from $145,000 to $259,000.
These figures are computed live from 411 active Machine Learning roles in Austin on JobsRadar, of which 69 (16.8%) publish a salary range. Pay is normalized to annualized USD so roles can be compared on equal terms; the highest-paying roles listed above show their original posted currency. Numbers refresh every few hours as new roles are posted and older ones close.
Employers currently hiring well-paid Machine Learning roles in Austin include Fluidstack, OLIX, Legion Intelligence and Hopper.
Salary transparency varies by employer and region, so the disclosing share above reflects only roles that publish pay — not every open position. Use it as a directional benchmark rather than an exact offer.