Unknown Company
Overview
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. The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. This team focuses on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives.
Responsibilities
- As a Senior Machine Learning Engineer, Relevance and Personalization at Airbnb, you will work with large scale structured and unstructured data to build and continuously improve cutting edge Machine Learning models.
- You will collaborate with cross-functional partners including software engineers, product managers, and data scientists to identify opportunities for business impact and drive engineering decisions.
- Additionally, you will develop, productionize, and operate Machine Learning models and pipelines at scale while leveraging tools and infrastructure for high-performing systems.