Machine Learning Engineer — AI labor economics
Builds, trains, evaluates, and ships ML models to production. Owns feature engineering, model serving infrastructure, and ongoing model performance monitoring.
What follows is the matrix-derived read for this role at a representative cell. Your numbers will differ — compute your own Wagecard for the precise read on your geo, experience, salary, and task mix.
- Operational AI cost
- Market rate (p50)
- Four task classes
- Confidence band
- Open methodology
Operational AI cost
Tokens · oversight · retries · integration · orchestration.
Market rate (Tier 2 mid)
p25 $149,732 · p75 $212,872 · p90 $252,560
Economic substitution exposure
Lower = more human-leveraged. Augmentation territory.
Run the numbers on your own Machine Learning Engineer role.
This read is a representative cell. Pick your own geo, experience, salary, and task mix to see the operational AI cost, market rate, and four-class distribution for your actual week — every number with its method and a confidence band.