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Home / Compensation / Airbnb / ML Engineer
Total compensation for a Airbnb ML Engineer ranges from about $200K at the entry level to $1.7M+ at the most senior bands, with a typical mid-level package around $485K. Below is the full breakdown by level - base salary, annual equity, and bonus - from public-source data.
Public-source estimates (Beta). Last updated 2026-05. Figures are annualized USD.
| Level | Years | Base (p50) | Equity/yr (p50) | Bonus (p50) | Total (p25-p90) |
|---|---|---|---|---|---|
| IC3ML Engineer (New Grad) | 0-2 YOE | $165K | $52K | $15K | $200K - $300K |
| IC4ML Engineer | 2-5 YOE | $205K | $95K | $28K | $280K - $470K |
| IC5Senior ML Engineer | 5-9 YOE | $245K | $180K | $50K | $390K - $740K |
| IC6Staff ML Engineer | 8-14 YOE | $295K | $305K | $70K | $545K - $1.1M |
| IC7Principal ML Engineer | 12+ YOE | $340K | $525K | $100K | $760K - $1.7M |
Entry-level ML role. PhD candidates often start at IC4.
Mid-level. Most-common external ML hire.
Senior ML IC. Search ranking pulls top of band.
Staff ML IC. Equity dominates.
Principal ML. Limited population.
Airbnb ML engineer ladder mirrors SWE (IC3-IC7). Search ranking, host/guest matching, and trust/safety ML are major hiring areas. Comp tracks SWE within ~5%.
7 rounds. 6 of them can be practised here - each one below links the rep that trains it.
Recruiter screen
30 minutes. Background, level calibration (L4 vs L5), team alignment (frontend, backend, infra, product engineering for specific surfaces like host tools, search, or trust).
Technical phone screen
60 minutes. One coding problem at Medium difficulty. Frontend candidates often get a JavaScript/React-flavored problem; backend candidates get a more general algorithmic problem.
Free rep: Coding challenges with a real sandbox →Onsite: Coding round 1
60 minutes. Algorithmic problem with edge cases and clean code expected. For frontend roles, often a UI-flavored problem (build a component, implement search-as-you-type, debounce/throttle logic).
Free rep: Coding challenges with a real sandbox →Onsite: Coding round 2
60 minutes. Second coding round, often more applied or design-flavored. May involve OOD, debugging, or extending an existing system.
Free rep: Coding challenges with a real sandbox →Onsite: System design (senior+)
60 minutes. Travel and marketplace flavored: search and ranking, booking systems, host calendars, pricing, trust and safety. L4 candidates may not face this round; L5+ should expect it.
Free rep: Design walkthrough: Design a News Feed (Twitter / Facebook) →Onsite: Core values / cross-functional
60 minutes. Conducted by an interviewer outside your reporting chain with veto power. Probes the Airbnb cultural values: hosting, mission, simplicity, adventure, entrepreneurial mindset. Specific stories about embodying these values matter; generic 'I love travel' answers don't.
Free rep: STAR answers: Customer Obsession (Amazon Leadership Principle) →Onsite: Hiring manager / team fit
45-60 minutes. Behavioral and role fit. Mid-level expectations at L4, senior IC expectations at L5.
Free rep: STAR answers: Ownership (Amazon Leadership Principle) →The full Airbnb prep pack → what they value, topic emphasis, and the questions candidates ask.
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