Democratizing Experimentation
Joined October 2011
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Colin McFarland retweeted
Had a great time at @CODEConference, where I presented work that I did over the summer at Netflix with the (twitterless) Wenjing Zheng and Simon Ejdemyr on developing flexible methods to generalise or transport causal estimates from (likely non-representative) studies.
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Very excited about the rockstar lineup we’ve put together for @CODEConference this year!
Since the conference is in two weeks, I figured I’d briefly let people know what is on the program in case you’re on the fence about attending (hint: you should attend).
More info below 👇
It’s quite hard to explain Netflix’s unique experimentation culture. We tried our best! netflixtechblog.com/netflix-…
You might enjoy our multi-part series on experimentation at Netflix. Start here 👉 netflixtechblog.com/decision…
Netflix contributions to the 2020 MIT Conference on Digital Experimentation @CODEConference. Big respect @deaneckles @sinanaral for putting this thing on and keeping the level this incredible. netflixtechblog.com/netflix-…
Remember fidget spinners? I rediscovered the experimentation edition :) Shoutout @ronnyk
We share key challenges and approaches we have been using to handle small sample size and limited pre-intervention data in quasi experiments at Netflix > netflixtechblog.com/key-chal…
Colin McFarland retweeted
Our Netflix Experimentation Platform (XP) team reimagined our analysis framework to enable our scientists to contribute directly to the platform. Here is their blog: medium.com/netflix-techblog/… The XP team will be present this year at MIT CODE 2019, GHC 2019, WiML 2019. Come say hi.
Summary of our work so far to enable scientists to contribute directly to Experimentation Platform – at Los Gatos, CA
Here is the epic work our XP Scientific Computation team does @netflix: medium.com/netflix-techblog/… If you are interested do reach out, we have a few open roles: research.netflix.com/researc…
Instead of hard-coding treatments, our platform enables teams to define aspects of the product in terms of feature flags or parameters, then update them on-the-fly. Interested in helping us scale and enable adaptive experiments?
jobs.netflix.com/jobs/870030
Reach me if you’re into this!
“scaling new methods from working prototypes to efficient implementation on our production platforms is of primary importance, and to do so you’ll be partnering with an active mathematical engineering group” – at Los Gatos, CA
Big chance to partner with my team to move experimentation forward at Netflix > jobs.netflix.com/jobs/869264
Big chance to partner with my team to move experimentation forward at Netflix > jobs.netflix.com/jobs/869264 – at Los Gatos, CA
"Scientists and engineers can contribute new innovations on three fronts, data, statistics, and visualizations."
From Python at Netflix (features Experimentation Platform and much more) > medium.com/netflix-techblog/…
"What will be the cost of rolling out the winning cell of an AB test to all users?" Ambition levels of this team 🙌 cc / @jaswani
medium.com/netflix-techblog/…
Sharing the design principles guiding the development of experimentation platform at Netflix. Interested in enabling scientists? We'd love to hear from you.
medium.com/netflix-techblog/…
Improving Experimentation Efficiency with Optimal Stopping link.medium.com/z8Pxq6vtWT – at Los Gatos, CA
Our new place to share current focus, progress, open roles. Proud to be part of this incredible team, sharing more soon👌
“Accelerating and Democratizing Machine Learning & Experimentation Innovation”
research.netflix.com/researc…