Senior Staff Machine Learning Engineer, Growth Platform Engineering
Airbnb · Software Engineering
- Location
- Remote - USA
- Workplace
- Remote
- Level
- Staff+
- Type
- Unspecified
- Pay
- $244K–$305K/yr (estimated from posting text)
- Posted
- 6 months ago
- Source
- Greenhouse
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PythonJavaC++ScalaKubernetesKafkaAirflowPyTorchTensorFlow
What the posting covers
About the company
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…
The Community You Will Join
The Growth Platform team’s vision is to drive long term sustainable growth for the Airbnb community. Our mission is to build a best-in-class agentic system, and capabilities to support the growth of all Airbnb products, current and future. We achieve this by…
The Difference You Will Make
As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered solutions to shape the future of the Airbnb agentic growth platform with cutting-edge AI techniques. You will drive and guide the rest of the engineers to…
A Typical Day
Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases. Work collaboratively with cross-functional partners…
Your Expertise
12+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills Deep understanding of ML/AI best practices (e.g. training/serving skew…
Your Location
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered…
Our Commitment To Inclusion & Belonging
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified…
How We'll Take Care of You
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in…
Excerpts only. The employer’s page has the complete posting.