This blog post describes our approach to predictive CPU isolation for containers at Netflix -- enabling tasks to run...

Invited talk at the Adaptive and Multi-Task Learning (AMTL) workshop at ICML 2019 on 2019-06-15 in Long Beach, CA....

What's deeper than deep learning? A look at how recommender systems have grown from matrix factorization, to deep...

Both router buffer sizing and Active Queue Management (AQM) are concepts deeply embedded inside the computer...

In this talk our own Sudeep Das gives a high level description of how personalization helps our members find relevant...

Providing high-fidelity, near real-time data is important for multi-armed bandit and RL models to converge quickly....

We discuss salient challenges of building a search experience for a streaming media service such as Netflix. We provide an overview of the role of recommendations within the search context to aid content discovery and support searches for unavailable (out-of-catalog) entities. We also stress the importance of keystroke-level Instant Search experience, and the technical challenges associated with implementing it across...

Learn more about how Netflix uses data science and analytics to improve the reliability, security and efficiency of...

In order to produce software that improves a scientist's productivity we have come up with the following design...

From living rooms in Bogota, to morning commutes in Tokyo, to beaches in Los Angeles and dorms in Berlin, Netflix...

Netflix has over 139M members streaming on more than half a billion devices spanning over 1,700 different types of devices from hundreds of brands. This diverse device ecosystem results in a high dimensionality feature space, often with sparse data, and can make identifying device performance issues challenging.

Describes the latest progress towards Netflix's open-source video quality assessment metric.

We’re developing a new product within the wider Experimentation Platform, to automate some aspects of the scientists...

Because treatments in streaming experimentation may have much larger impacts on high (or low) values of a given...

Is image and video coding dead? From the standpoint of application and relevance, video compression is very much alive and kicking and thriving on the internet.

Today, in partnership with Google, we have open sourced Kayenta, a platform for Automated Canary Analysis (ACA)....

Netflix has released hundreds of Originals and plans to spend $8 billion over the next year on content. Creators of...

One of the common questions we get asked is: “Why do we need machine learning to improve streaming quality?” This is...