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. The Community You Will Join: At Airbnb, our mission is to create a world where anyone can belong anywhere. The AI Compute team is responsible for delivering and operating the GPU platform and infrastructure that powers AI at Airbnb. Airbnb is a member of the Cloud Native Compute Foundation’s end user community and regularly meets with peer companies to discuss cloud native engineering challenges at scale. The Difference You Will Make: As a Staff Engineer on the AI Compute team, your role is to serve as the technical leader, overseeing the entire lifecycle of Airbnb’s Kubernetes-based GPU platform. You will be instrumental in boosting the efficiency and effectiveness of the Cloud Infrastructure organization by significantly enhancing all facets of the Machine Learning (ML) engineering experience. This platform is the critical foundation that supports all AI Compute features related to security, networking, developer experience, and operational efficiency. Your team will provide the reliability, scalability, security, and developer experience necessary for ML teams to deliver first class experiences to Airbnb Guests and Hosts around the world. A Typical Day: As a Staff Engineer on the AI Compute team, your role is to serve as the technical leader, overseeing the entire lifecycle of Airbnb’s Kubernetes-based GPU platform. You will be instrumental in boosting the efficiency and effectiveness of the Cloud Infrastructure organization by significantly enhancing all facets of the Machine Learning (ML) engineering experience. This platform is the critical foundation that supports all AI Compute features related to security, networking, developer experience, and operational efficiency. Your team will provide the reliability, scalability, security, and developer experience necessary for ML teams to deliver first class experiences to Airbnb Guests and Hosts around the world.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees