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Sunday, November 13 • 11:40am - 12:20pm
Building a Machine Learning Orchestration Framework in Scala

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A scaleable and adaptable machine learning platform is essential for an organization to harness the full potential of their data. This talk introduces Meson, a General Purpose Workflow Orchestration and Scheduling framework. Meson is a Scala application that manages heterogeneous workloads integrating Spark, Python, R, Docker and other toolkits. We will demonstrate how a simple user interface and a DSL allows data scientists to design and run machine learning pipelines that seamlessly exchange data and artifacts between disparate jobs. We are working on open sourcing Meson and by this talk it may very well be open sourced.


Kedar Sadekar

Sr. Software Engineer, Netflix Inc
I am a Senior software engineer on the Personalization Infrastructure team at Netflix that builds scalable, distributed computing systems for the algorithmic engineers that help improve member personalization. Interested in speaking about ML infrastructure challenges and solutions... Read More →
avatar for Davis Shepherd

Davis Shepherd

Senior Software Engineer, Netflix
I started working with Scala when I was writing applications on top of Apache Spark. I spent 4 years building re-enforcement learning systems with these tools. I now work at Netflix, developing their next generation of ML workflow management software all in Scala

Sunday November 13, 2016 11:40am - 12:20pm PST
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