AV1 — Now Powering 30% of Netflix Streaming
Liwei Guo, Zhi Li, Sheldon Radford, Jeff Watts
Dec 01, 2025 /Read More
Integrating Netflix’s Foundation Model into Personalization applications
Authors: Divya Gadde, Ko-Jen Hsiao, Dhaval Patel and Moumita Bhattacharya
Nov 17, 2025 /Read More
How and Why Netflix Built a Real-Time Distributed Graph: Part 2 — Building a Scalable Storage Layer
Authors: Luis Medina and Ajit Koti
Nov 14, 2025 /Read More
Heterogeneous Treatment Effects at Netflix
Learn more about our work on HTEs and experimentation at CODE@MIT 2025!
Nov 13, 2025 /Read More
Unlocking Entertainment Intelligence with Knowledge Graph
Author: Himanshu Singh
Nov 12, 2025 /Read More
Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
Authors: Harshad Sane, Andrew Halaney
Nov 07, 2025 /Read More
Supercharging the ML and AI Development Experience at Netflix
Shashank Srikanth, Romain Cledat
Nov 04, 2025 /Read More
Post-Training Generative Recommenders with Advantage-Weighted Supervised Finetuning
Author: Keertana Chidambaram, Qiuling Xu, Ko-Jen Hsiao, Moumita Bhattacharya
Oct 24, 2025 /Read More
Behind the Streams: Real-Time Recommendations for Live Events Part 3
By: Kris Range, Ankush Gulati, Jim Isaacs, Jennifer Shin, Jeremy Kelly, Jason Tu
Oct 20, 2025 /Read More
How and Why Netflix Built a Real-Time Distributed Graph: Part 1 — Ingesting and Processing Data…
Authors: Adrian Taruc and James Dalton
Oct 17, 2025 /Read More
