Evolving the ML Platform Organisation at Netflix: A Case Study • Julie Amundson • YOW! 2021

This presentation was recorded at YOW! 2021. #GOTOcon #YOW
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Julie Amundson - Former Machine Learning Infrastructure Team Leader at Netflix
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ABSTRACT
Do you wish there was a Machine Learning model to tell you how to structure your ML teams?
So do I! While we're waiting for that, I'll share the story of how the ML Platform organisation evolved at Netflix.
Although this story is specific to our own journey to expand Netflix ML investments, there are a few lessons learned along the way that you'll be able to relate to. There are several factors going into org structure that we'll discuss, including: the specialty and skillsets of ML practitioners, the variety and depth of ML use cases, who's responsible for the data, the ownership model as ML projects go to production, and how the underlying Platforms are situated. I look forward to sharing and hearing your own thoughts afterward! [...]
RECOMMENDED BOOKS
Stefan Helzle • Low-Code Application Development with Appian • amzn.to/3rAC0Xq
Phil Winder • Reinforcement Learning • amzn.to/3t1S1VZ
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • amzn.to/3AQmIRg
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • amzn.to/2ZD7t0x
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[@Satook]

Excellent talk. Thank you Julie!

[@mknarula]

very informative!