⭐ Bright Outlook
AI/Machine Learning Engineer
O*NET 15-2099.01 · SOC 15-2099
Projected Growth
+33%
2024–2034
Median Salary
$146k
per year
Education Level
Zone 5
Extensive preparation needed (graduate degree)
What You'd Actually Do
- →Design, train, and deploy machine learning models for production systems
- →Preprocess and engineer features from large-scale datasets
- →Evaluate model performance and iterate on architecture and hyperparameters
- →Build ML pipelines and infrastructure for model training and serving
- →Stay current with research papers and implement state-of-the-art techniques
Education & How to Get In
🔬
Job Zone 5
Extensive preparation needed (graduate degree)
AI/Machine Learning Engineer typically requires a master's degree, doctorate, or professional degree. This is a long-term investment — expect 6–10 years of post-secondary education — but the depth of expertise commands strong compensation and career stability.
Work Environment
Primary Setting
Analytical — research labs, offices, or remote
Work Style
Independent — focused deep work with periodic team check-ins
A Day in the Life
While every role varies by employer and specialization, a typical day as a AI/Machine Learning Engineer involves a mix of core responsibilities:
MorningDesign, train, and deploy machine learning models for production systems
MiddayPreprocess and engineer features from large-scale datasets
AfternoonEvaluate model performance and iterate on architecture and hyperparameters
Personality Fit (RIASEC)
Investigative (Thinkers)7.0
Realistic (Doers)4.5
Conventional (Organizers)4.0
Enterprising (Persuaders)3.0
Artistic (Creators)2.0
Social (Helpers)2.0
Similar Careers
Is AI/Machine Learning Engineer right for you?
Your personality, values, and strengths matter as much as the job market. Take the free quiz to see your personalized Future-Fit Score for this career and hundreds more.
Take the assessment →Free · No account required · 10 minutes