Data / ML

Data / Machine Learning

Uber AI, Data / ML, Engineering

Uber’s Highly Scalable and Distributed Shuffle as a Service

July 7, 2022 / Global

Data / ML, Engineering

Enabling Offline Inferences at Uber Scale

June 15, 2022 / Global

Data / ML, Engineering

Presto® on Apache Kafka® At Uber Scale

April 14, 2022 / Global

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Data / ML, Engineering, Security

Securing Kafka® Infrastructure at Uber

April 7, 2022 / Global

Data / ML, Engineering, Security

One Stone, Three Birds: Finer-Grained Encryption @ Apache Parquet™

March 10, 2022 / Global

Uber AI, Backend, Data / ML, Engineering, Mobile

Introducing Carbon Feed for Earners: The One-Stop Info Shop

February 16, 2022 / Global

Uber AI, Data / ML

DeepETA: How Uber Predicts Arrival Times Using Deep Learning

February 10, 2022 / Global

Uber AI, Data / ML, Engineering

Project RADAR: Intelligent Early Fraud Detection System with Humans in the Loop

February 1, 2022 / Global

Backend, Data / ML, Engineering

Cost Efficiency @ Scale in Big Data File Format

January 25, 2022 / Global

Engineering, Data / ML, Uber AI

Capacity Recommendation Engine: Throughput and Utilization Based Predictive Scaling

January 19, 2022 / Global

Data / ML, Engineering

The New Version of Orbit (v1.1) is Released: The Improvements, Design Changes, and Exciting Collaborations

January 11, 2022 / Global

Backend, Data / ML, Engineering

How Uber Migrated Financial Data from DynamoDB to Docstore

November 10, 2021 / Global

Backend, Data / ML, Engineering

Introducing uGroup: Uber’s Consumer Management Framework

October 21, 2021 / Global

Backend, Data / ML, Engineering

Improving HDFS I/O Utilization for Efficiency

October 13, 2021 / Global

Backend, Data / ML, Engineering

Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot

September 23, 2021 / Global

Data / ML, Engineering

YAML Generator for Funnel YAML Files: Streamlining the Mobile Data Workflow Process

September 16, 2021 / Global

Backend, Data / ML, Engineering

Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework

September 2, 2021 / Global

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Data / ML

Data / Machine Learning

Uber’s Highly Scalable and Distributed Shuffle as a Service

Enabling Offline Inferences at Uber Scale

Presto® on Apache Kafka® At Uber Scale

Interested in joining Uber Eng?

Securing Kafka® Infrastructure at Uber

One Stone, Three Birds: Finer-Grained Encryption @ Apache Parquet™

Introducing Carbon Feed for Earners: The One-Stop Info Shop

DeepETA: How Uber Predicts Arrival Times Using Deep Learning

Project RADAR: Intelligent Early Fraud Detection System with Humans in the Loop

Cost Efficiency @ Scale in Big Data File Format

Capacity Recommendation Engine: Throughput and Utilization Based Predictive Scaling

The New Version of Orbit (v1.1) is Released: The Improvements, Design Changes, and Exciting Collaborations

How Uber Migrated Financial Data from DynamoDB to Docstore

Introducing uGroup: Uber’s Consumer Management Framework

Improving HDFS I/O Utilization for Efficiency

Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot

YAML Generator for Funnel YAML Files: Streamlining the Mobile Data Workflow Process

Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework

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