As of January 2026, the average salary for Lead AI Engineer at Infinity Ward in the United States is $189,962 per year, which is equivalent to an hourly rate of approximately $91. Most salaries for this position fall within the range of $175,368 to $207,665 annually.
View detailed salary information by job role at Infinity Ward. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$888,687 / year
Salary Range: $680,670 - $1,118,855
Executive
$318,728 / year
Salary Range: $282,465 - $357,603
Technology Leadership
$207,391 / year
Salary Range: $189,401 - $223,634
Engineering Management
$204,810 / year
Salary Range: $185,982 - $225,328
Dental Department
$179,102 / year
Salary Range: $165,313 - $192,230
Software Development
$178,436 / year
Salary Range: $165,570 - $182,932
Web Development
$166,919 / year
Salary Range: $146,304 - $188,059
Production Control
$161,297 / year
Salary Range: $151,533 - $180,259
Operations
$157,252 / year
Salary Range: $130,535 - $196,608
Communications
$155,656 / year
Salary Range: $141,425 - $169,497
Software Architecture
$155,140 / year
Salary Range: $132,278 - $178,302
Creative Arts
To succeed and maximize your earning potential as a Lead AI Engineer at Infinity Ward, 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.
|
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