JobFrame · DATASC.AIMACHIN97C0.P6
Data Science & Analytics · AI / Machine Learning Engineering
P6 · P6 — Principal Professional · Individual contributor
Median pay · United States
$188,314
$147,937 – $239,712 · USD · annual · national base (function pricing in review)
Level position
P6 · 6 of 7 in track
Median pay
$188,314
$147,937–$239,712
Level
P6
P6 · 6 of 7 in track
Super-function
technology
Demand-heat
hot
33.5% growth
Summary
AI / Machine Learning Engineering — builds, trains, deploys, and operates machine learning models and the production pipelines that serve them. Distinct from Data Science (hypothesis-driven statistical analysis and experimentation) and Data Engineering (data platform/pipeline plumbing) in that the core deliverable is production-grade ML systems: model architecture, training/evaluation, MLOps, deployment to cloud, and scaling of inference. Spans data preprocessing and feature engineering through deep learning (transformers, generative AI), distributed systems for large-scale ML, and the technical leadership that aligns ML capability with business objectives.
This level — P6 P6 — Principal Professional
Top individual contributor; recognized authority with strategic impact, equivalent to a low executive level
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Compensation
Observed BLS OEWS market pay for every occupation, dated and sourced — the universal job → pay join key.
$258 · $79/mo · $790/yr
Modeled market pay (base + bonus/TCC/equity/TDC) from the combined survey-blend equation, for this Job × Level grid.
$490 · $149/mo · $1,490/yr
Market-anchored grade ladders (wide / standard / tight range designs) built on our modeled market midpoints.
$490
Run a compa-ratio drift audit over your onboarded workforce dataset, priced against the pay model.
$990
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