Technology · Level D2

ML Engineer

Builds the ML systems and pipelines behind AI products — structurally rising in demand with the AI buildout, and carrying a frontier-lab pay premium.

Typical total compensation (US)

$238,000median

Range $208,000–$278,000 · base $165,000 · bonus $18,000 · equity $55,000

Indicative, sourced ranges — not a guarantee. BLS OEWS May 2025 Data Scientists (15-2051) as base floor (p75 $158,880) + software/ML premium; Levels.fyi ML Engineer title median total comp $272.5k, base median ~$190k (big-tech skew)

At a glance

Difficulty

High

Hiring demand

High

Competition

High

AI task-risk

Low

AI & this role: Builds the AI systems; demand is structurally rising with the AI buildout, not threatened by it. The move is to climb the scope ladder, not to fear the tool.

What differentiates you at this level

systemsML systems + pipelines (training/serving)
toolingMLOps and model deployment
foundationsStrong software engineering fundamentals

Where this leads — your highest-value routes

Ranked by pay ceiling. Progression is driven by scope and level transitions, not tenure.

Staff ML Engineerup to $585,000

$238,000 now → $530,000 in 7 yrs

Senior ML Engineerup to $410,000

$238,000 now → $365,000 in 3 yrs

Credentials that help

Credentials help entry and specialisation; they don't gate senior or leadership roles — scope does.

CS / related bachelor's degree · $10k-$40k+/yr public in-state to private; highly variable
Google Cloud Associate Cloud Engineer · ~$125
Applied ML/AI course (DeepLearning.AI, fast.ai, Coursera ML) · Free (fast.ai) to ~$49/mo Coursera specialisations
Master's in Data Science / Statistics / CS · $20k-$60k+; online options (e.g. OMSCS) far cheaper (~$7k)

See the full ML Engineer pay breakdown by metro →