As of August 2026, the average salary for Lead Machine Learning Engineer at Funbox Pty Ltd in the United States is $173,887 per year, which is equivalent to an hourly rate of approximately $84. Most salaries for this position fall within the range of $159,372 to $192,707 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 Funbox Pty Ltd. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$813,487 / year
Salary Range: $618,583 - $1,038,268
Executive
$291,757 / year
Salary Range: $256,700 - $331,847
Technology Leadership
$175,685 / year
Salary Range: $159,342 - $192,170
Product Management
$152,046 / year
Salary Range: $138,678 - $167,970
Software Development
$147,648 / year
Salary Range: $137,711 - $167,276
Operations
$142,424 / year
Salary Range: $121,205 - $162,968
Property Management
$118,891 / year
Salary Range: $109,328 - $128,512
Software Development
$118,891 / year
Salary Range: $109,328 - $128,512
Software Development
$111,417 / year
Salary Range: $99,758 - $123,437
Project Management
$103,769 / year
Salary Range: $98,375 - $111,410
Web Development
$103,769 / year
Salary Range: $98,375 - $111,410
Web Development
To succeed and maximize your earning potential as a Lead Machine Learning Engineer at Funbox Pty Ltd, 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. | |
| Data Science |
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
|
|
| Deep Learning |
Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
|
Understanding the career path for an Lead Machine Learning Engineer can help you plan long-term professional growth. Below is a typical career progression for an Lead Machine Learning Engineer, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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