As of April 01, 2025, the average annual salary for a Principal Machine Learning Engineer in Austin, TX is $155,890. Salary.com reports that pay typically ranges from $142,930 to $176,710, with most professionals earning between $131,131 and $195,666.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $176,710 | $14,726 | $3,398 | $85 |
| Average | $155,890 | $12,991 | $2,998 | $75 |
| 25th Percentile | $142,930 | $11,911 | $2,749 | $69 |
An entry-level Principal Machine Learning Engineer with under 1 year experience makes about $150,668. With less than 2 years of experience, a mid-level Principal Machine Learning Engineer makes around $151,636. After 2-4 years, the Principal Machine Learning Engineer pay rises to about $152,603. Those senior Principal Machine Learning Engineer with 5-8 years of experience earn roughly $154,537, and those Principal Machine Learning Engineer having 8 years or more experience are expected to earn about $158,999 on average.
| Levels | Salary |
|---|---|
| Entry Level Principal Machine Learning Engineer | $150,668 |
| Intermediate Level Principal Machine Learning Engineer | $151,636 |
| Senior Level Principal Machine Learning Engineer | $152,603 |
| Specialist Level Principal Machine Learning Engineer | $154,537 |
| Expert Level Principal Machine Learning Engineer | $158,999 |
| Entry Level | 3% |
| Mid Level | 3% |
| Senior Level | 2% |
| Top Level | 1% |
| Experienced | 2% |
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Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
Logistics: In a general business sense, logistics is the management of the flow of things between the point of origin and the point of consumption to meet the requirements of customers or corporations.
Data Collection: Data collection is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a component of research in all fields of study including physical and social sciences, humanities, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the questions that have been posed.
| Skill | Salary | Demand |
|---|---|---|
|
Research Design
|
$166,802 |
7%
|
|
Commitment
|
$165,243 |
6%
|
|
Inference
|
$165,243 |
6%
|
|
Continuous Learning
|
$163,685 |
5%
|
|
Empowerment
|
$163,685 |
5%
|
|
Initiative
|
$162,126 |
4%
|
