This Job has stopped accepting applications
| 2217 Views
Airbnb is seeking Data Scientist-Algorithm, who has experience with distributed machine learning and computing framework (Spark, Mahout or equivalent).
Improve search ranking features.
Determine a novel metric to evaluate pricing models.
Build a new model to predict the quality of the guest trip experience.
Iterate and create new ML models to detect risky behaviors on the site.
Required Experience And Skills:
4+ years industry experience developing machine learning models at scale from inception to business impact. Leadership opportunities also available.
Advanced degree in the quantitative field.
Deep understanding of modern machine learning techniques and their mathematical underpinnings, such as classification, recommendation systems, and natural language processing.
Proven ability to tailor machine learning solutions to business problems in a cross-functional team.
Experience with distributed machine learning and computing framework (Spark, Mahout or equivalent). Applied experience preferred.
Strong programming skill (Python, R, or Scala preferred).
Experience in machine learning model is a plus.
Founded in August of 2008 and based in San Francisco, California, Airbnb is a trusted community marketplace for people to list, discover, and book unique accommodations around the world online or from a mobile phone. Whether an apartment for a night, a castle for a week, or a villa for a month, Airbnb connects people to unique travel experiences, at any price point, in more than 33,000 cities and 192 countries. And with world-class customer service and a growing community of users, Airbnb is the easiest way for people to monetize their extra space and showcase it to an audience of millions.
No global movement springs from individuals. It takes an entire team united behind something big. Together, we work hard, we laugh a lot, we brainstorm nonstop, we use hundreds of Post-Its a week, and we give the best high-fives in town. Headquartered in San Francisco, we have satellite offices in Dublin, London, Barcelona, Paris, Milan, Copenhagen, Berlin, Moscow, Paolo, Sydney, and Singapore.