Staff Machine Learning Engineer, Traffic Intelligence
AirbnbShort-term Rentals company
United States$212,000 - $265,000 USDLead
Sequoia Capital
Greylock Partners
Andreessen Horowitz
Founders Fund
Y Combinator
Silver Lake
Data & AI
About the role
TL;DR
Architect and maintain traffic classification ML systems for real-time decision-making and bot mitigation.
- •Airbnb is seeking a Staff Machine Learning Engineer to architect and maintain end-to-end traffic classification ML systems.
- •This role focuses on real-time decision-making for billions of daily requests, with a strong emphasis on anti-bot and anti-scraping detection.
- •Key Responsibilities Own the complete lifecycle of traffic-scoring models, from problem framing to real-time deployment.
- •Architect robust offline-to-online pipelines for certified datasets and rigorous evaluation frameworks.
- •Execute model optimization within strict millisecond latency budgets at the internet edge.
- •Partner with security analysts, data platform engineers, and infrastructure partners to integrate scoring intelligence.
- •Serve as the team's machine learning authority, communicating complex model trade-offs.
- •Requirements 9+ years of applied experience in production ML, specifically within non-stationary, adversarial domains.
- •Demonstrated experience architecting scalable, offline-to-online data pipelines for low-latency inference systems.
- •Strong foundation in rigorous model evaluation and communicating complex trade-offs.
- •Experience with large-scale data engineering and feature engineering on high-volume event streams.
- •Practical knowledge of internet edge infrastructure and their role in verifying foundational signals.
Required skills
PythonSQLscikit-learnMLflowKubernetesDockerAWSGoogle CloudAzureSparkPandasNumPyLLMs
Nice-to-have skills
TensorFlowPyTorchHugging FaceOpenAI APIAnthropic APIGemini APILangChain
Domain expertise
travelai
Benefits & perks
bonus, equity, benefits, Employee Travel Credits
Tech stack
PythonSQLMLflowTensorFlowPyTorchscikit-learnKubernetesDockerAWSGoogle CloudAzureSparkPandasNumPyLLMs