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)

Career Score

84/100 · Exceptional

Indicative role rating — same inputs give the same score. It rates the role, not you, and never predicts an outcome.

Salary growth
97

Strong pay headroom above this role — the ladder keeps climbing.

Demand & security
100

Hiring demand is high.

AI resistance
100

Builds the AI systems; demand is structurally rising with the AI buildout, not threatened by it. These tasks are automating — move up the scope ladder.

Entry access
0

High barrier — difficulty, study load, or competition.

Progression
100

Long-term headroom above is high.

Work–life
50

Work–life sustainability is moderate.

Explore & decide

The pay-vs-effort call, the routes in, and how it stacks up.

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.

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)
Live openings for this role

See current US ML Engineer listings mapped to your level, in your metro.

Browse ML Engineer jobs →

FAQ

How much does a ML Engineer earn?

Typical US total compensation is $208,000–$278,000 (median $238,000), indicative and metro-dependent — see the pay breakdown.

Is a ML Engineer at risk from AI?

Builds the AI systems; demand is structurally rising with the AI buildout, not threatened by it. The move is up the scope ladder, not away from AI.

What's the next step from ML Engineer?

The highest-value route is toward Staff ML Engineer (up to $585,000).

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