Staff Machine Learning Engineer, Traffic Intelligence

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

• 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.