Engineering
The technology behind Uber Engineering
AI, Culture, Data / ML, Engineering
ML Education at Uber: Program Design and Outcomes
August 2 / Global
AI, Culture, Data / ML, Engineering
ML Education at Uber: Frameworks Inspired by Engineering Principles
July 28 / Global
Data / ML, Engineering
Supercharging A/B Testing at Uber
July 21 / Global
Engineering
Vertical CPU Scaling: Reduce Cost of Capacity and Increase Reliability
July 14 / Global
AI, Data / ML, Engineering
Uber’s Highly Scalable and Distributed Shuffle as a Service
July 7 / Global
Engineering
Introducing Shadower: A Minimalistic Load Testing Tool
June 30 / Global
Data / ML, Engineering
Enabling Offline Inferences at Uber Scale
June 15 / Global
AI, Backend, Engineering, Mobile
Uber’s Real-Time Document Check
June 9 / Global
Backend, Engineering
Data Race Patterns in Go
June 2 / Global
Engineering
USL – Uber’s Unified Signup and Login Stack
May 26 / Global
Engineering
Better Load Balancing: Real-Time Dynamic Subsetting
May 17 / Global
Backend, Engineering
Dynamic Data Race Detection in Go Code
April 28 / Global
Data / ML, Engineering
Presto® on Apache Kafka® At Uber Scale
April 14 / Global
Backend, Engineering
Uber’s Emergency Button and The Technologies Behind It
March 31 / Global
Engineering
Avoiding CPU Throttling in a Containerized Environment
March 22 / Global
Data / ML, Engineering
One Stone, Three Birds: Finer-Grained Encryption @ Apache Parquet™
March 10 / Global
Engineering
Introducing Ballast: An Adaptive Load Test Framework
March 1 / Global
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