Task-by-Task Analysis
Here's how AI might impact each core task of a machine learning engineer:
Develop ML pipelines50% automatable
Train and tune models55% automatable
Deploy to production45% automatable
Design system architecture35% automatable
Live Risk Signals
Real-time factors affecting this job's automation risk score:
+1%
employment
-1.5% employment change year-over-year
Risk scores update automatically based on news, layoffs, employment trends, and AI capability announcements.
Score Breakdown
Base Risk (O*NET Research)40%
Employment Trends (BLS)+1%
Final Score41%
Risk Trend (90 Days)
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AI Tools Threatening This Role
AutoML
AI coding assistants
Automated deployment
What AI Cannot Replace
Novel architectures
Complex systems
Research
Leadership
How to Future-Proof Your Career
LLMs and GenAI
ML infrastructure
Research
Technical leadership
Key Skills for This Role
ML FrameworksSoftware EngineeringSystem Design
Data sources: U.S. Bureau of Labor Statistics (BLS), O*NET OnLine, industry research reports. Risk scores are updated daily using our proprietary algorithm. Last updated: February 2026.
Analysis by AI Crisis Research Team.