Staff Machine Learning Engineer, Traffic Intelligence

Job not on LinkedIn

🔥 3 hours ago

🇺🇸 United States – Remote

💵 $212k - $265k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

✈️ Travel

📦 Logistics

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

Travel • Logistics • eCommerce

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• Own the complete lifecycle of traffic-scoring models, from problem framing to real-time deployment, managing adversarial feedback loops and driving reductions in bot-incident MTTM • Architect offline-to-online pipelines producing certified source-of-truth datasets and rigorous evaluation frameworks • Optimize models within strict millisecond latency budgets at the internet edge while balancing inference costs and incremental value • Partner with security analysts, data platform engineers, and international infrastructure partners to integrate scoring intelligence into automated mitigation workflows • Serve as the team’s machine learning authority, communicating model trade-offs to leadership and cross-functional teams • Architect and maintain Airbnb’s end-to-end traffic classification ML systems for billions of daily requests

🎯 Requirements

• 9+ years of applied experience in production ML, specifically in non-stationary, adversarial domains such as traffic integrity, bot mitigation, or fraud • Experience architecting scalable offline-to-online data pipelines for low-latency inference systems • Strong foundation in model evaluation, including ROC/AUC, precision/recall, and calibration • Experience with large-scale data engineering, warehouse-scale SQL, and feature engineering on high-volume event streams • Practical knowledge of internet edge infrastructure, including CDN/load balancer behavior and HTTP/TLS signatures • Cross-functional leadership experience and mentoring of junior engineers • MS/PhD in a quantitative field or equivalent deep engineering experience • Preferred: PhD in Statistics, Mathematics, Machine Learning, or a related quantitative discipline • Preferred: Advanced graph-based coordination or Sybil network detection expertise • Preferred: Causal or econometric methods for modeling false-positive business impact • Preferred: Bayesian calibration techniques for adversarially biased, sparse, or imbalanced datasets • Preferred: Data governance and platform engineering experience • Preferred: LLM agent tooling and benchmarking exposure • Must live in a state where Airbnb, Inc. has a registered entity

🏖️ Benefits

• Bonus eligibility • Equity eligibility • Benefits • Employee Travel Credits • Occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager • Disability-inclusive application and interview process with reasonable accommodation