# Staff Machine Learning Engineer, Traffic Intelligence at Airbnb

Airbnb seeks a Staff Machine Learning Engineer to own the design and deployment of traffic classification systems that protect the platform from bots, scrapers, and abusive actors while serving billions of daily requests. You'll architect end-to-end ML pipelines that combine internal models with third-party signals to make real-time routing decisions, then continuously harden policies as adversaries adapt. The role demands balancing inference performance within strict latency constraints at the internet edge while maintaining rigorous offline evaluation frameworks that ensure model improvements are empirically sound and resistant to evasion.

This is a fit for someone with 9+ years building production ML systems in adversarial domains like fraud detection or traffic integrity, who can architect scalable offline-to-online data pipelines and has hands-on experience with large-scale SQL and event-stream feature engineering. You should be comfortable with edge infrastructure nuances (CDN, load balancers, HTTP signatures) and excel at communicating technical trade-offs to leadership and cross-functional teams. An MS/PhD in a quantitative field or equivalent deep systems experience is expected, with preference for doctoral-level training and expertise in graph-based or Sybil detection methods.

Based in the United States, this is a full-time staff-level position where you'll partner daily with security analysts, platform engineers, and international teams to integrate traffic intelligence into automated mitigation workflows while mentoring junior engineers on design rigor and technical quality.

Location: United States

Apply: https://getfoundi.com/apply/staff-machine-learning-engineer-traffic-intelligence-airbnb-04d005af

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