Task-by-Task Analysis
Here's how AI might impact each core task of a machine learning engineer:
Develop ML pipelines50% estimated exposure
Train and tune models55% estimated exposure
Deploy to production45% estimated exposure
Design system architecture35% estimated exposure
Current Risk Signals
Recent factors included in this role estimate:
+3%
employment
-2.8% employment change year-over-year
These signals are reviewed on a schedule and may not reflect every recent event. Use the score as a directional estimate, not a prediction.
Score Breakdown
Base Risk (O*NET Research)40%
Employment Trends (BLS)+3%
Final Score43%
Risk Trend (90 Days)
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AI Tools Threatening This Role
AutoML
AI coding assistants
Automated deployment
Work Current Tools Handle Less Reliably
Novel architectures
Complex systems
Research
Leadership
Practical Ways to Adapt
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. Occupation pages use versioned task data and a consistent scoring model. Individual results also reflect the tasks a person selects.