Software Engineer (Machine Learning) Salary at Cresta BETA
As of July 2026, the average salary for Software Engineer (Machine Learning) at Cresta in the United States is $144,106 per year, which is equivalent to an hourly rate of approximately $69. Most salaries for this position fall within the range of $133,511 to $153,631 annually.
How much does Cresta pay for other job roles?
View detailed salary information by job role at Cresta. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
Chief Marketing Officer
$415,316 / year
Salary Range: $364,061 - $494,169
Marketing
Vice President, Finance
$317,163 / year
Salary Range: $267,736 - $380,365
Finance
Director, Sales
$233,535 / year
Salary Range: $206,781 - $261,505
Sales
Director, Field Marketing
$219,064 / year
Salary Range: $198,076 - $241,912
Marketing
Head of Infrastructure
$213,617 / year
Salary Range: $196,134 - $233,708
Enterprise Infrastructure
Manager, Marketing Operations
$169,343 / year
Salary Range: $153,020 - $181,273
Product Management
Director, Client Relations
$152,964 / year
Salary Range: $132,665 - $172,939
Account Management IV
Regional Director
$149,097 / year
Salary Range: $132,830 - $163,138
Project Management
Software Engineer
$144,106 / year
Salary Range: $133,511 - $153,631
Software Development
Fullstack Engineer
$142,861 / year
Salary Range: $128,945 - $156,817
DevOps Engineering
Product Marketing
$138,742 / year
Salary Range: $123,206 - $155,376
Marketing Management
Key Skills & Their Impact on a Software Engineer (Machine Learning) at Cresta?
To succeed and maximize your earning potential as a Software Engineer (Machine Learning) at Cresta, 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 |
|---|---|---|
| Java | Using Java in the development and maintenance of application programs and systems. | |
| Computer science | Computer science is the study of computation, automation, and information. | |
| API | An application programming interface is a way for two or more computer programs to communicate with each other. | |
| Python |
Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
|
|
| Agile |
Agile is a development process where feedback is continuously gathered from users to create the best user experience.
|
Software Engineer (Machine Learning) Career Path and Growth Opportunities
Understanding the career path for a Software Engineer (Machine Learning) can help you plan long-term professional growth. Below is a typical career progression for a Software Engineer (Machine Learning), highlighting common next-step roles and opportunities for increased responsibility and compensation.
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FAQ about Salary and Jobs at Cresta
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