Staff Machine Learning Engineer, Traffic Intelligence

Airbnb - United States

Hiring: Staff Machine Learning Engineer, Traffic Intelligence Company: Airbnb Location: United States Job Posted Time: 2026-09-10 02:13:06 Employment Type: Remote Target Skills & Keywords : CDN, Data Pipeline, LLM, Machine Learning, Make, SQL, TLS About the job Experience: •9+ years of applied experience in production ML, specifically within non-stationary, adversarial domains (e.g., traffic integrity, bot mitigation, or fraud) where you have managed the feedback loop against adaptive actors. Required Skills: •The Community You Will Join •The Difference You Will Make •Architect and maintain Airbnb’s end-to-end traffic classification ML systems, balancing high-performance model deployment with rigorous offline data pipelines. Qualifications: •PhD in Statistics, Mathematics, Machine Learning, or a related quantitative discipline. •Advanced expertise in graph-based coordination or Sybil network detection methods for complex, distributed system analysis. •Deep experience with causal or econometric methods to model the business impact of false positives on legitimate user traffic. •Experience implementing Bayesian calibration techniques for handling adversarially-biased, sparse, or imbalanced datasets. •Operational familiarity with data governance practices and platform engineering, specifically managing the lifecycle of certified datasets and downstream consumer contracts. •Exposure to LLM agent tooling and benchmarking, with a focus on optimizing inference costs against latency and value trade-offs. •Our Commitment To Inclusion & Belonging •Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. •We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. •How We'll Take Care Of You Compensation: •$212,000 - $265,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!