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Automated Canary Analysis at Netflix with...
Today, in partnership with Google, we have open sourced Kayenta, a platform for Automated Canary Analysis (ACA)....
Data Science and the Art of Producing...
Netflix has released hundreds of Originals and plans to spend $8 billion over the next year on content. Creators of...
- Ritwik Kumar
- Director, Science & Analytics
- Vinith Misra
- Senior Data Scientist
- Jen Walraven
- Manager, Science & Analytics
- Lavanya Sharan
- Senior Data Scientist
- Bahareh Azarnoush
- Senior Data Scientist
- Boris Chen
- Senior Machine Learning Scientist
- Nirmal Govind
- Director, Studio Production & Streaming Data Science
Using Machine Learning to Improve...
One of the common questions we get asked is: “Why do we need machine learning to improve streaming quality?” This is...
Dynamic optimizer — a perceptual video...
Video encoding has fueled academic research over the past 25 years and enabled compelling products and services. Many...
AVA: The Art and Science of Image...
At Netflix, the Content Platform Engineering and Global Product Creative teams know that imagery plays an incredibly...
- Tim Branyen
- Senior UI Architect
- Parth Bhawalkar
- Senior Product Designer
- Apurva Kansara
- Senior Software Engineer - Computer Vision
- Eugene Jin
- Senior Software Engineer in Test
- Boris Roussabrov
- Senior Software Engineer
- Lauren Machado
- Design Program Manager
- Madeline Riley
- Program Manager, ML Automation & Systems Infrastructure
Artwork Personalization at Netflix
For many years, the main goal of the Netflix personalized recommendation system has been to get the right titles in...
- Ashok Chandrashekar
- Manager, Discovery Research
- Fernando Amat
- Senior Research Engineer
- Justin Basilico
- Director, Recommendation Systems Research and Engineering
- Tony Jebara
- Director, Machine Learning and Personalization Science
Innovating Faster on Personalization...
The Netflix experience is powered by a family of ranking algorithms, each optimized for a different purpose. For...
- Juliette Aurisset
- Director, Experimentation
- Michael Ramm
- Manager, Experimentation
- Joshua Parks
- Manager, Algorithms Science & Analytics
Machine Learning Platform Meetup Recap
Machine Learning is making fast inroads into many areas of business and is being employed in an increasingly widening...
Introducing Vectorflow: a lightweight...
With the deluge of deep learning libraries and software innovation in the field over the last few years, it is an...
A/B Testing and Beyond: Improving the...
With a global launch in January 2016 that brought Netflix to over 130 new countries, Netflix is now a truly global...
How Data Science Helps Power Worldwide...
Have you ever wondered where your video comes from when you watch Netflix? We serve video streams out of our own...
Data Science @ Netflix & Promoting Netflix...
In 2012, Netflix launched its first original title to members in Canada and the US. Lilyhammer, starring Steve Van...
Scaling Netflix through Partnerships
In January 2016 we launched our service globally to begin bringing joy to a much larger audience. Marketing drives...
Netflix at RecSys 2016 Recap
A key aspect of Netflix is providing our members with a personalized experience so they can easily find great stories...
- Justin Basilico
- Director, Recommendation Systems Research and Engineering
- Yves Raimond
- Director, Algorithm Engineering
To Be Continued: Helping you find shows to...
Our objective in improving the Netflix recommendation system is to create a personalized experience that makes it...
- Mohammad Hossein Taghavi
- Senior Research Engineer
- Ashok Chandrashekar
- Manager, Discovery Research
- Linas Baltrunas
- Senior Research Engineer
- Justin Basilico
- Director, Recommendation Systems Research and Engineering