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Snap Engineering Blog

Learn about Snap Engineering culture and our industry-leading innovations and achievements.

Snap Engineers
Synthetic Data for Machine Learning (ML)
STOMP out Bad Metrics
Modernizing PlayCanvas Infrastructure
Bringing Locations to Life with AR

Speed Up Feature Engineering for Recommendation Systems

Synthetic Data for Machine Learning (ML)
STOMP out Bad Metrics
Performance as a Core Product Feature
From Monolith to Multi-Cluster: Snap's Journey to a Resilient Data Orchestration Platform
Inside Snap's Experimentation Platform: Leveraging NVIDIA GPUs for Accelerated Data Processing
Building the Spatial Interaction and Interface Frameworks for Specs
A Declarative Standard for AI Agents
EyeConnect

Shared Augmented Reality experiences are part of Spectacles’ mission to connect humans in the real world.

Universal User Modeling (UUM): A Foundation Model for User Understanding at Snapchat
Building a Spark-Powered Platform for ML Data Needs at Snap
Snap Ads Understanding

Our advertising platform at Snap receives a large volume of new ads every day. To maintain a high-quality and relevant ad ecosystem, we need to review these creatives at scale, to ensure they align with our policies, are safe for our community, and are shown to the right Snapchatters.

Introducing Bento, Snap's ML Platform

Building ML at scale: Discover how Snap's Bento ML Platform powers personalized user experiences through cutting-edge ML Ops

Embedding-based Retrieval with Two-Tower Models in Spotlight

At Snap, we want to empower you to learn about the world and have fun with other Snapchatters. On Spotlight, Snap’s short-video platform, we personalize what you see based on your interests and previous watch history. This blog discusses the challenges we faced and techniques we applied for large-scale embedding-based retrieval, which selects the stories that users may like from a large candidate pool in real time.

Differential Privacy at Snapchat

At Snap, privacy is a central part of our product philosophy. We want Snapchatters to feel safe and secure interacting with their friends and exploring the world around them without worrying about the privacy of their data. To achieve this goal one of the tools we use is Differential Privacy (DP), the de facto privacy standard in both industry and academia. In this article, first we summarize some of the privacy concerns that Snap and the industry as a whole face. Then we examine how Snap uses DP to address those concerns regarding friend recommendations and Maps features.

Differential Privacy at Snapchat - background banner photo
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