As of May 2026, the average salary for Senior Machine Learning Engineer at Cortex in the United States is $94,642 per year, which is equivalent to an hourly rate of approximately $46. Most salaries for this position fall within the range of $83,685 to $103,623 annually.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
View detailed salary information by job role at Cortex. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$250,282 / year
Salary Range: $197,873 - $310,614
Revenue Management
$161,674 / year
Salary Range: $142,581 - $180,623
Account Management
$159,887 / year
Salary Range: $143,178 - $174,149
Business Development
$149,434 / year
Salary Range: $142,898 - $154,911
Operations
$103,297 / year
Salary Range: $93,502 - $114,732
Finance
$94,349 / year
Salary Range: $80,638 - $110,230
Customer Success
$90,293 / year
Salary Range: $81,276 - $98,860
Project Management
$83,961 / year
Salary Range: $75,250 - $92,934
Business Development
$82,460 / year
Salary Range: $71,109 - $94,415
Account Management III
$74,254 / year
Salary Range: $67,579 - $80,978
Human Resources
$66,477 / year
Salary Range: $60,346 - $73,263
Product and Brand Marketing
To succeed and maximize your earning potential as a Senior Machine Learning Engineer at Cortex, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| Machine Learning | Using mathematical models, data, and algorithms to help a computer learn without direct instruction. | |
| Algorithms | Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. | |
| Python | Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements. | |
| Deep Learning |
Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
|
|
| Computer science |
Computer science is the study of computation, automation, and information.
|
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