Machine Learning Engineer: career path and pay in the US
Where a Machine Learning Engineer goes next, what each step typically pays in the United States, and how exposed the path is to AI replacement. 4 steps, from Junior ML Engineer to Principal ML Engineer / ML Manager / Director of ML.
Also for the United Kingdom: Machine Learning Engineer in the UK
The path
Step 1 · 0 to 2 years
Junior ML Engineer
$120K to $175K
Typical US pay for this job title, retrieved September 2026.
What this step adds
Credentials that help: AWS Certified Machine Learning - Specialty (optional) - Global, Google Cloud Professional ML Engineer (optional) - Global, BCS Foundation Certificate (optional) - UK/EU.
Step 2 · 2 to 5 years
ML Engineer
$150K to $225K
Typical US pay for this job title, retrieved September 2026.
What this step adds
Credentials that help: AWS Certified Machine Learning - Specialty - Global, Azure AI Engineer Associate - Global, Google Cloud Professional ML Engineer - Global, BCS Practitioner Certificate - UK/EU.
Step 3 · 5 to 10 years
Senior ML Engineer / ML Architect
$175K to $260K
Typical US pay for this job title, retrieved September 2026.
What this step adds
Credentials that help: AWS Certified Machine Learning - Specialty - Global, Azure AI Engineer Expert - Global, Google Cloud Professional ML Engineer - Global, BCS Advanced Certificate - UK/EU.
Step 4 · 10+ years
Principal ML Engineer / ML Manager / Director of ML
$190K to $285K
Typical US pay for this job title, retrieved September 2026.
What this step adds
Credentials that help: AWS Certified Machine Learning - Specialty - Global, Azure AI Engineer Expert - Global, Google Cloud Professional ML Engineer - Global, BCS Chartered IT Professional - UK/EU.
Exposure and pay along the path
Exposure to AI, now to later
24% → 24%
Stays level across the path. Lower is better.
Typical pay, now to later
$120K to $175K → $190K to $285K
US estimates by job title, Glassdoor, Indeed and PayScale US.
What the work involves
Research, design, and develop computer and network software or specialized utility programs. Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. Update software or enhance existing software capabilities. May work with computer hardware engineers to integrate hardware and software systems, and develop specifications and performance requirements. May maintain databases within an application area, working individually or coordinating database development as part of a team.
Skills that matter most
- Critical Thinking
- Reading Comprehension
- Active Learning
- Active Listening
- Writing
- Speaking
Knowledge areas
- Computers and Electronics
- Mathematics
- Customer and Personal Service
- English Language
- Education and Training
- Engineering and Technology
Education people bring
- Bachelor's Degree: 85%
- Associate's Degree or other 2-year degree: 5%
- Master's Degree: 5%
Job Zone 4, job Zone Four: Considerable Preparation Needed. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Other paths from here
- Data Scientist
- AI Engineer
- Research Scientist
- Engineering Manager
More Technology paths in the US
Related occupations in O*NET: Computer Systems Engineers/Architects, Computer Systems Analysts, Software Quality Assurance Analysts and Testers, Computer Programmers, Database Administrators.
Your own role
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SourcesSalary bands: Glassdoor, Indeed and PayScale US, US national averages by job title, retrieved September 2026Skills, knowledge and education: O*NET 31.0 Database
This page includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. CC BY 4.0
Salary estimates by job title from Glassdoor, Indeed and PayScale, retrieved September 2026. Each band runs from 20% below to 20% above the reported average, rounded to $5K. Exposure percentages and the skills listed under each step are this app's own editorial ratings, not published data.