Data / ML

Data / Machine Learning

Backend, Data / ML, Engineering

Improving HDFS I/O Utilization for Efficiency

13October,2021 / Global

Backend, Data / ML, Engineering

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

23September,2021 / Global

Data / ML, Engineering

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

16September,2021 / Global

Interested in joining Uber Eng?

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Backend, Data / ML, Engineering

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

2September,2021 / Global

Backend, Data / ML, Engineering

Enabling Seamless Kafka Async Queuing with Consumer Proxy

1August,2021 / Global

Data / ML

How Data Shapes the Uber Rider App

26August,2021 / Global

Backend, Data / ML, Engineering

Building Scalable Streaming Pipelines for Near Real-Time Features

24August,2021 / Global

Data / ML, Engineering

Efficiently Managing the Supply and Demand on Uber’s Big Data Platform

13August,2021 / Global

Data / ML, Engineering

Cost-Efficient Open Source Big Data Platform at Uber

11August,2021 / Global

Data / ML, Engineering

Challenges and Opportunities to Dramatically Reduce the Cost of Uber’s Big Data

9August,2021 / Global

Data / ML, Engineering

How Uber Achieves Operational Excellence in the Data Quality Experience

5August,2021 / Global

Data / ML, Engineering

Pinot Real-Time Ingestion with Cloud Segment Storage

29July,2021 / Global

Data / ML, Engineering

Containerizing Apache Hadoop Infrastructure at Uber

22July,2021 / Global

Data / ML, Engineering

‘Orders Near You’ and User-Facing Analytics on Real-Time Geospatial Data

20July,2021 / Global

Data / ML, Engineering

Analyzing Customer Issues to Improve User Experience

16July,2021 / Global

Engineering, Data / ML, Web

Customer Support Automation Platform at Uber

14July,2021 / Global

Data / ML, Engineering

Tuning Model Performance

9July,2021 / Global

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English 简体中文

Data / ML

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

Interested in joining Uber Eng?

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

Enabling Seamless Kafka Async Queuing with Consumer Proxy

How Data Shapes the Uber Rider App

Building Scalable Streaming Pipelines for Near Real-Time Features

Efficiently Managing the Supply and Demand on Uber’s Big Data Platform

Cost-Efficient Open Source Big Data Platform at Uber

Challenges and Opportunities to Dramatically Reduce the Cost of Uber’s Big Data

How Uber Achieves Operational Excellence in the Data Quality Experience

Pinot Real-Time Ingestion with Cloud Segment Storage

Containerizing Apache Hadoop Infrastructure at Uber

‘Orders Near You’ and User-Facing Analytics on Real-Time Geospatial Data

Analyzing Customer Issues to Improve User Experience

Customer Support Automation Platform at Uber

Tuning Model Performance

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