Engineering

The technology behind Uber Engineering

Engineering, Backend, Data / ML

How Uber Accomplishes Job Counting At Scale

22 May 2024 / Global

Engineering, Backend

Upgrading M3DB from v1.1 to v1.5

16 May 2024 / Global

Engineering, Data / ML, Security

DataK9: Auto-categorizing an exabyte of data at field level through AI/ML

9 May 2024 / Global

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Engineering, Data / ML, Uber AI

From Predictive to Generative – How Michelangelo Accelerates Uber’s AI Journey

2 May 2024 / Global

Uber AI

DragonCrawl: Generative AI for High-Quality Mobile Testing

23 April 2024 / Global

Engineering

Ensuring Precision and Integrity: A Deep Dive into Uber’s Accounting Data Testing Strategies

18 April 2024 / Global

Engineering

Migrating a Trillion Entries of Uber’s Ledger Data from DynamoDB to LedgerStore

11 April 2024 / Global

Engineering, Backend, Data / ML

How LedgerStore Supports Trillions of Indexes at Uber

4 April 2024 / Global

Engineering, Data / ML, Uber AI

Scaling AI/ML Infrastructure at Uber

28 March 2024 / Global

Engineering, Data / ML

Model Excellence Scores: A Framework for Enhancing the Quality of Machine Learning Systems at Scale

21 March 2024 / Global

Engineering, Data / ML

Balancing HDFS DataNodes in the Uber DataLake

14 March 2024 / Global

Engineering, Backend

Load Balancing: Handling Heterogeneous Hardware

7 March 2024 / Global

Engineering, Backend

Network IDS Ruleset Management with Aristotle v2

29 February 2024 / Global

Engineering, Backend, Web

Building Scalable, Real-Time Chat to Improve Customer Experience

20 February 2024 / Global

Engineering, Backend, Data / ML

How Uber Serves Over 40 Million Reads Per Second from Online Storage Using an Integrated Cache

15 February 2024 / Global

Engineering, Data / ML

Jupiter: Config Driven Adtech Batch Ingestion Platform

6 February 2024 / Global

Engineering, Backend, Data / ML, Uber AI

DataCentral: Uber’s Big Data Observability and Chargeback Platform

1 February 2024 / Global

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Engineering

How Uber Accomplishes Job Counting At Scale

Upgrading M3DB from v1.1 to v1.5

DataK9: Auto-categorizing an exabyte of data at field level through AI/ML

Interested in joining Uber Eng?

From Predictive to Generative – How Michelangelo Accelerates Uber’s AI Journey

DragonCrawl: Generative AI for High-Quality Mobile Testing

Ensuring Precision and Integrity: A Deep Dive into Uber’s Accounting Data Testing Strategies

Migrating a Trillion Entries of Uber’s Ledger Data from DynamoDB to LedgerStore

How LedgerStore Supports Trillions of Indexes at Uber

Scaling AI/ML Infrastructure at Uber

Model Excellence Scores: A Framework for Enhancing the Quality of Machine Learning Systems at Scale

Balancing HDFS DataNodes in the Uber DataLake

Load Balancing: Handling Heterogeneous Hardware

Network IDS Ruleset Management with Aristotle v2

Building Scalable, Real-Time Chat to Improve Customer Experience

How Uber Serves Over 40 Million Reads Per Second from Online Storage Using an Integrated Cache

Jupiter: Config Driven Adtech Batch Ingestion Platform

DataCentral: Uber’s Big Data Observability and Chargeback Platform

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