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