Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

by Kostas Christidis

Reinforcement Learning for Budget Constrained Recommendations

by Ehtsham Elahi with James McInerney, Nathan Kallus, Dario Garcia Garcia and Justin Basilico

Virtual Production — A Validation Framework For Unreal Engine

Data Mesh — A Data Movement and Processing Platform @ Netflix

By Bo Lei, Guilherme Pires, James Shao, Kasturi Chatterjee, Sujay Jain, Vlad Sydorenko

Formulating ‘Out of Memory Kill’ Prediction on the Netflix App as a Machine Learning Problem

by Aryan Mehra, with Farnaz Karimdady Sharifabad, Prasanna Vijayanathan, Chaïna Wade, Vishal Sharma and Mike Schassberger

How Netflix Content Engineering makes a federated graph searchable (Part 2)

By Alex Hutter, Falguni Jhaveri, and Senthil Sayeebaba

Scaling Appsec at Netflix (Part 2)

By Astha Singhal, Lakshmi Sudheer, Julia Knecht

A Survey of Causal Inference Applications at Netflix

At Netflix, we want to entertain the world through creating engaging content and helping members discover the titles they will love. Key to…

Evolution of ML Fact Store

by Vivek Kaushal

How Netflix Content Engineering makes a federated graph searchable

By Alex Hutter, Falguni Jhaveri and Senthil Sayeebaba