
Staff Machine Learning Engineer - Marketing Technology
We are looking for a ML Engineer to join the Marketing Technology ML team. In this role, you’ll have the opportunity to build a portfolio of reusable and scalable ML models that enable Airbnb to reach the right customer at the right time using the right channel with the right content. Targeting models that help identify key user segments that can be used to optimize engagement with a user (ex. booking intent, user engagement rate predictions). Work closely with product and infra engineers to understand, refine, and prioritize requirements for shared machine learning models. Leverage third-party ML tools and in-house models & infrastructure, or build new ML systematic solutions tailored to Airbnb problems. Hands on development, productionize and operate ML models and pipelines at scale, including both batch and real-time use cases.
8+ years of industry experience
Experience developing machine learning models at scale from inception to impact
Solid understanding of engineering best practices and complexities of models in production
Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
Python
Java
C++
Scala
Campaign Management
Spark
Time Management Skills
High volume data pipelines
Process Improvement
Driven and self-motivated
Communication Skills
Adaptability
Problem Solving Skills
Detail oriented and highly organized
Multi tasker
According to JobzMall, the average salary range for a Staff Machine Learning Engineer - Marketing Technology in 888 Brannan St, San Francisco, CA 94103, USA is between $128,000 and $192,000. This salary range is based on data collected from publicly available sources.
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Airbnb, Inc., is an American online marketplace and hospitality service brokerage company based in San Francisco, California, United States. Members can use the service to arrange or offer lodging, primarily homestays, or tourism experiences

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