Evan Cox

Engineering Manager, Trust Foundational Modeling Team

Evan Cox is the engineering manager for the Foundational Modeling team within the Trust organization at Airbnb.  His team works on machine learning infrastructure and applied machine learning techniques to scale out  Trust to all of the hosts and guests on Airbnb.

Before Airbnb, Evan was a data science manager at the startup Metromile, where he helped scale the company's user base 1000x, applying machine learning to geospatial, telematics, and fraud prediction problems, for  which he's been awarded four patents.

He began his career at Microsoft, as a software engineer working on core relevance and ranking problems at Bing.  He holds an M.S. in Computer Science with a focus in Artificial Intelligence, and a B.S. in Symbolic Systems with a focus on Decision Making and Rationality from Stanford.  In a past life he performed research on programming languages, logical systems, and general game playing.

Tuesday, October 1
4:25 pm
4:55 pm
Robertson Auditorium
We usually hear conference presentations from a singular perspective–that of one of an organization's data scientists, data engineers, platform engineers, or ML/AI leaders. In this "Team Teardown" panel we turn this model on its head and speak with several members of an organization's team to explore the complex relationships between platform consumers (i.e. data scientists) and providers (e.g. platform and data engineering) in order to understand how they organize and work collaboratively and efficiently to meet the needs of their organizations. In this panel, we will explore how teams at Airbnb collaborate to deliver ML throughout the Airbnb product. We'll dive into how ML is organized within Airbnb and how teams interface with each other in order to execute on large initiatives. We will discuss the challenges of building ML in a diverse multi-functional organization, as well as the tradeoffs of the common organizational approaches we've seen. Representatives from around Airbnb will provide their unique perspectives.
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