As of August 2026, the average salary for Deep Learning Engineer at Ityx Solutions Inc in the United States is $105,379 per year, which is equivalent to an hourly rate of approximately $51. Most salaries for this position fall within the range of $93,390 to $115,121 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 ITyX Solutions Inc. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$734,040 / year
Salary Range: $562,421 - $923,805
Executive
$124,954 / year
Salary Range: $114,119 - $133,651
Information Technology
$124,156 / year
Salary Range: $112,431 - $135,503
Project Management
$118,895 / year
Salary Range: $104,479 - $133,432
Business Development
$116,752 / year
Salary Range: $104,379 - $128,601
Technical Support
$107,280 / year
Salary Range: $99,402 - $114,344
Software Development
$107,280 / year
Salary Range: $99,402 - $114,344
Software Development
$104,144 / year
Salary Range: $95,221 - $114,204
Digital Content
$103,781 / year
Salary Range: $93,212 - $114,117
Human Resources
$100,536 / year
Salary Range: $90,701 - $109,829
Project Management
$97,770 / year
Salary Range: $89,270 - $106,088
Web Software Development
To succeed and maximize your earning potential as a Deep Learning Engineer at Ityx Solutions Inc, 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.
|
Understanding the career path for an Deep Learning Engineer can help you plan long-term professional growth. Below is a typical career progression for an Deep Learning Engineer, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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