Data / ML

Data / Machine Learning

Engineering, Data / ML

Introduction to Kafka Tiered Storage at Uber

1 July 2024 / Global

Engineering, Backend, Data / ML

How Uber Accomplishes Job Counting At Scale

22 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

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, 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

Engineering, Data / ML

Uber: GC Tuning for Improved Presto Reliability

11 January 2024 / Global

Engineering, Data / ML

uVitals – An Anomaly Detection & Alerting System

28 December 2023 / Global

Engineering, Data / ML

Accelerating Advertising Optimization: Unleashing the Power of Ads Simulation

19 October 2023 / Global

Engineering, Backend, Data / ML

Unified Session for Analytical Events

12 October 2023 / Global

Engineering, Data / ML, Uber AI

Risk Entity Watch – Using Anomaly Detection to Fight Fraud

28 September 2023 / Global

Engineering, Data / ML

Selective Column Reduction for DataLake Storage Cost Efficiency

20 September 2023 / Global

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Data / ML

Data / Machine Learning

Introduction to Kafka Tiered Storage at Uber

How Uber Accomplishes Job Counting At Scale

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

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

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

Uber: GC Tuning for Improved Presto Reliability

uVitals – An Anomaly Detection & Alerting System

Accelerating Advertising Optimization: Unleashing the Power of Ads Simulation

Unified Session for Analytical Events

Risk Entity Watch – Using Anomaly Detection to Fight Fraud

Selective Column Reduction for DataLake Storage Cost Efficiency

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