Presentation: Automating Netflix ML Pipelines With Meson

Track: The Practice & Frontiers of AI

Location: Seacliff ABC

Duration: 1:40pm - 2:30pm

Day of week: Monday

Level: Intermediate

Persona: Architect, CTO/CIO/Leadership, Data Engineering, ML Engineer, Technical Engineering Manager

Abstract

In this talk we discuss the evolution of ML automation at Netflix and how that lead us to build Meson, an orchestration system used for many of the personalization/recommendation algorithms. We will talk about challenges we faced, and what we learned automating thousands of ML pipelines with Meson.

Speaker: Davis Shepherd

ML Management @Netflix

Davis Shepherd spent 4 years building re-enforcement learning systems before working at Netflix where he now develops their next generation of ML pipeline management software.

Find Davis Shepherd at

Speaker: Eugen Cepoi

Senior Software Engineer @Netflix

Eugen Cepoi has been working on data processing systems for general ETL like purposes and machine learning for the past 4 years. Before that he spent 3 years building web applications and infrastructure for them. He now works in the personalization infrastructure team at Netflix, where he focuses on developing the ML pipeline management software.

Find Eugen Cepoi at

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