ML Infrastructure Engineer.

Where do you fall?

Estimated total: $233,000

If you are interviewing for ML Infrastructure Engineer roles in Seattle, here is what you are walking into. Seattle is home to Amazon, Microsoft, and a dense cluster of cloud computing, gaming, and AI companies. The presence of major tech headquarters drives some of the highest engineering salaries outside the Bay Area. Seattle's job market is particularly strong for cloud infrastructure, machine learning, and enterprise software roles. Compensation for ML Infrastructure Engineers is driven by depth of technical specialization, open-source or published work, and the specific technology stack. Equity is a major component at roughly 25% of base — candidates should weight stock grants as heavily as salary when comparing offers. Within tech-sector ML Infrastructure Engineers specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 66%+ variance across the compensation band.

ML Infrastructure Engineers typically progress Junior → Mid → Senior → Staff → Principal over 8 to 12 years, with the Staff+ levels carrying significant technical scope and cross-team influence. The director/VP track diverges around year 8 for those who choose management; IC staff-plus roles keep building technical depth. In Seattle, those numbers run higher. The cost of living here is 24% above average, and employers adjust to compete.

Base salary is not the full picture. Total compensation for ML Infrastructure Engineers runs roughly $230K at median when factoring base + equity (25% of base annually) + bonus (15% of base). Equity is the single largest non-base component — candidates should model vesting schedules (typically 4-year with 1-year cliff) and compare grant values across offers carefully. At tech companies specifically, equity and sign-on are often the largest delta between offers — two roles with matching base can differ by $100K+ at total when equity is included. And on the tax side: washington State has no personal income tax, which significantly boosts take home pay. However, state and local sales taxes are among the highest in the country at roughly 10.25%. When someone quotes you $163,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Remind employers that no state income tax makes your effective compensation higher. You can accept a slightly lower gross salary and still take home more than in California. The range for ML Infrastructure Engineers in Seattle runs from $122,000 to $214,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

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