Staff Machine Learning Engineer, Assistance Engineering
Airbnb · Software Engineering
- Location
- San Francisco, CA
- Metro
- San Francisco Bay Area
- Workplace
- Unspecified
- Level
- Staff+
- Type
- Unspecified
- Pay
- $212K–$260K/yr (estimated from posting text)
- Posted
- 4 months ago
- Source
- Greenhouse
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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
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Assistance…
The Difference You Will Make
We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. You will build and…
A Typical Day
Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems Work cross-functionally with product, design, and other engineering counterparts to design and build…
Your Expertise
PhD/Master’s degree, preferably in CS, or equivalent experience 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems Background in the design and development of AI and ML systems and services, and a deep…
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…
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