From Facts & Metrics to Media Machine Learning: Evolving the Data Engineering Function at Netflix
By Dao Mi, Pablo Delgado, Ryan Berti, Amanuel Kahsay, Obi-Ike Nwoke, Christopher Thrailkill, and Patricio Garza
Aug 21, 2025 /Read More
ML Observability: Bringing Transparency to Payments and Beyond
By Tanya Tang, Andrew Mehrmann
Aug 18, 2025 /Read More
Accelerating Video Quality Control at Netflix with Pixel Error Detection
By Leo Isikdogan, Jesse Korosi, Zile Liao, Nagendra Kamath, Ananya Poddar
Aug 11, 2025 /Read More
Behind the Streams: Live at Netflix. Part 1
By Sergey Fedorov, Chris Pham, Flavio Ribeiro, Chris Newton, and Wei Wei
Jul 15, 2025 /Read More
Netflix Tudum Architecture: from CQRS with Kafka to CQRS with RAW Hollow
By Eugene Yemelyanau, Jake Grice
Jul 10, 2025 /Read More
Driving Content Delivery Efficiency Through Classifying Cache Misses
By Vipul Marlecha, Lara Deek, Thiara Ortiz
Jul 02, 2025 /Read More
AV1 @ Scale: Film Grain Synthesis, The Awakening
Li-Heng Chen, Andrey Norkin, Liwei Guo, Zhi Li, Agata Opalach and Anush Moorthy
Jul 02, 2025 /Read More
Model Once, Represent Everywhere: UDA (Unified Data Architecture) at Netflix
By Alex Hutter, Alexandre Bertails, Claire Wang, Haoyuan He, Kishore Banala, Peter Royal, Shervin Afshar
Jun 12, 2025 /Read More
FM-Intent: Predicting User Session Intent with Hierarchical Multi-Task Learning
Authors: Sejoon Oh, Moumita Bhattacharya, Yesu Feng, Sudarshan Lamkhede, Ko-Jen Hsiao, and Justin Basilico
May 21, 2025 /Read More
