Uber AI

Uber AI is at the heart of AI-powered innovation and technologies at Uber. AI research and its applications solve challenges across the whole of Uber.

Engineering, Backend, Culture, Uber AI

The Transformative Power of Generative AI in Software Development: Lessons from Uber’s Tech-Wide Hackathon

August 3, 2023 / Global

Engineering, Uber AI

Innovative Recommendation Applications Using Two Tower Embeddings at Uber

July 26, 2023 / Global

Engineering, Data / ML, Uber AI

D3: An Automated System to Detect Data Drifts

February 23, 2023 / Global

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Engineering, Culture, Data / ML, Uber AI

ML Education at Uber: Program Design and Outcomes

August 2, 2022 / Global

Engineering, Culture, Data / ML, Uber AI

ML Education at Uber: Frameworks Inspired by Engineering Principles

July 28, 2022 / Global

Uber AI, Data / ML, Engineering

Uber’s Highly Scalable and Distributed Shuffle as a Service

July 7, 2022 / Global

Uber AI, Backend, Engineering, Mobile

Uber’s Real-Time Document Check

June 9, 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

Engineering, Data / ML, Uber AI

Capacity Recommendation Engine: Throughput and Utilization Based Predictive Scaling

January 19, 2022 / Global

Uber AI, Data / ML, Engineering

Elastic Distributed Training with XGBoost on Ray

July 7, 2021 / Global

Uber AI, Engineering

Fraud Detection: Using Relational Graph Learning to Detect Collusion

May 21, 2021 / Global

Uber AI

Applying Machine Learning in Internal Audit with Sparsely Labeled Data

March 2, 2021 / Global

Uber AI, Engineering

Ludwig v0.3 Introduces Hyperparameter Optimization, Transformers and TensorFlow 2 support

October 6, 2020 / Global

Uber AI, Engineering

Fiber: Distributed Computing for AI Made Simple

June 30, 2020 / Global

Uber AI, Data / ML

Uber AI

Uber AI is at the heart of AI-powered innovation and technologies at Uber. AI research and its applications solve challenges across the whole of Uber.

The Transformative Power of Generative AI in Software Development: Lessons from Uber’s Tech-Wide Hackathon

Innovative Recommendation Applications Using Two Tower Embeddings at Uber

D3: An Automated System to Detect Data Drifts

Interested in joining Uber Eng?

ML Education at Uber: Program Design and Outcomes

ML Education at Uber: Frameworks Inspired by Engineering Principles

Uber’s Highly Scalable and Distributed Shuffle as a Service

Uber’s Real-Time Document Check

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

Capacity Recommendation Engine: Throughput and Utilization Based Predictive Scaling

Elastic Distributed Training with XGBoost on Ray

Fraud Detection: Using Relational Graph Learning to Detect Collusion

Applying Machine Learning in Internal Audit with Sparsely Labeled Data

Ludwig v0.3 Introduces Hyperparameter Optimization, Transformers and TensorFlow 2 support

Fiber: Distributed Computing for AI Made Simple

Inside Uber ATG’s Data Mining Operation: Identifying Real Road Scenarios at Scale for Machine Learning

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