Machine Learning Engineer Salary at Seaflux BETA
How much does a Seaflux Machine Learning Engineer make?
As of August 2026, the average salary for Machine Learning Engineer at Seaflux in the United States is $61,947 per year, which is equivalent to an hourly rate of approximately $30. Most salaries for this position fall within the range of $54,150 to $69,587 annually.
The exact salary offered will depend on factors such as a candidate's years of experience, skills, department and location.
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.
How much does Seaflux pay for other job roles?
View detailed salary information by job role at Seaflux. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
Director, Sales & Marketing
$191,345 / year
Salary Range: $172,540 - $212,180
Marketing
Technical Manager
$136,985 / year
Salary Range: $122,121 - $151,550
Technical Support
Full Stack Software Engineer
$125,872 / year
Salary Range: $116,298 - $134,749
Software Development
Software Developer
$125,872 / year
Salary Range: $116,298 - $134,749
Software Development
Software Engineer
$125,872 / year
Salary Range: $116,298 - $134,749
Software Development
Full-Stack Developer
$89,348 / year
Salary Range: $81,550 - $97,469
User Interface Design and Development
Software Engineer & Intern
$79,942 / year
Salary Range: $74,064 - $86,213
Software Development
HR Executive
$77,944 / year
Salary Range: $71,090 - $85,110
Human Resources
Financial Assistant
$62,321 / year
Salary Range: $50,910 - $67,555
Financial and Accounting Systems
Production Assistant
$46,558 / year
Salary Range: $41,740 - $52,001
Manufacturing
Key Skills & Their Impact on a Machine Learning Engineer at Seaflux?
To succeed and maximize your earning potential as a Machine Learning Engineer at Seaflux, 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 |
|---|---|---|
| CNC | Numerical control is the automated control of machining tools by means of a computer. | |
| Programming | Executing logic to facilitate computing operations and functionality in one or more languages. | |
| Machine Operation | Applying methods and techniques to implement, maintain, repair, design, and update various machines following specific rules to ensure safety. | |
| Mechanical Aptitude |
Mechanical aptitude is a measure of a technical or engineering candidate's mechanical reasoning and mechanical comprehension to succeed in their domain.
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| background check |
A background check or background investigation is a review of a potential employee's criminal, commercial and financial records.
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Machine Learning Engineer Career Path and Growth Opportunities
Understanding the career path for a Machine Learning Engineer can help you plan long-term professional growth. Below is a typical career progression for a Machine Learning Engineer, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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FAQ about Salary and Jobs at Seaflux
FAQ 1: How much does Seaflux pay per hour?
The average hourly pay is $30. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
FAQ 2: What is the highest salary at Seaflux?
According to the data, the highest approximate salary is about $69,587 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
FAQ 3: What is the lowest pay at Seaflux?
According to the data, the lowest estimated salary is about $54,150 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
FAQ 4: What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.
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