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Things to do and ways to get there

Featured image for Reinforcement Learning for Modeling Marketplace Balance

Engineering, Data / ML, Uber AI

Reinforcement Learning for Modeling Marketplace Balance

Uber uses reinforcement learning to optimize matching and better balance drivers with demand in real time. By considering long-term outcomes, we improve efficiency and increase driver earnings by proactively aligning drivers with demand.

2 July / Global

Engineering, Backend, Uber AI

Slashing CI Costs at Uber

23 June / Global

The Evolution of Uber’s Search Platform

20 June / Global

Engineering, Backend, Security

Automating Kerberos Keytab Rotation at Uber

18 June / Global

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Engineering, Data / ML

How Uber Migrated from Hive to Spark SQL for ETL Workloads

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From Archival to Access: Config-Driven Data Pipelines

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Engineering, Data / ML, Uber AI

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Engineering, Backend

Robust Database Backup Recovery at Uber

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Engineering, Backend, Security18 June / Global

Automating Kerberos Keytab Rotation at Uber

Engineering20 June / Global

The Evolution of Uber’s Search Platform

Engineering, Backend, Uber AI23 June / Global

Slashing CI Costs at Uber

Engineering, Data / ML, Uber AI2 July / Global

Reinforcement Learning for Modeling Marketplace Balance

Engineering, Backend, Security

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Engineering, Backend, Data / ML

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Engineering, Backend, Uber AI

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Engineering, Backend

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Engineering, Data / ML, Uber AI

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Engineering, Data / ML, Uber AI

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Engineering, Data / ML, Uber AI

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