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Airbnb is seeking a senior data engineer to lead the design and build of large-scale, distributed data systems powering ML products and features across the Messaging & Connectivity domain.
The role focuses on shaping the long-term data architecture, collaborating with backend, client, data science, and analytics teams, and delivering reliable data pipelines in both batch and real-time modes.
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.
We connect Airbnb's community with the right information, in the right place, at the right time. We tailor Messaging & Notifications so hosts on Airbnb can streamline their operations, and travelers get just the information they need to enjoy their stay worry-free. Additionally, we are building new connections within our community to help enrich the experience of hosting & traveling on Airbnb: easing the process of hosting, and adding meaning to our guest's trips.
The data team utilizes industry-leading tools, builds scalable data systems and applies cutting-edge ML models to provide insights and empower all products in the Communication and Connectivity (CnC) organization.
At CnC, data is foundational to our organization’s success. This role will lead key initiatives to design and build large-scale, distributed data systems - both batch and real-time processing. The data will power machine learning models and unlock new product features. You'll be at the center of cross-functional collaboration, bridging backend, frontend/client, and machine learning engineering teams.
CnC is applying GenAI and large language models (LLMs) to power products that enhance the Airbnb experience in various surfaces including highly used ones like Messaging. We're building a robust ML platform to power our product ambitions.