The Curious Engineer

All blogs / Distributed systems / cloud

Uber

uber.com/hr/en

Get a ride in minutes. Or become a driver and earn money on your schedule. Uber is finding you better ways to move, work, and succeed in Croatia.

Distributed systems / cloudSoftware / engineering practiceAI / ML

’17’18’19’20’21’22’23’24’25’26
Posts
722 from 11 Jul 2017 to 29 Oct 2026
Posting
weekly (64 in the last year)
Kind
company blog
Also at
https://eng.uber.com/
Also at
https://uber.com/hr/en/blog

2026 49

  1. Designing a Generalized Ads Marketplace Platform
  2. Freight Search: Composing a Shared Search Index from Independently Owned Fragments
  3. Uber announce work
  4. Translations at Scale: Memory Optimization Techniques That Kept Uber's P99 Under 1ms
  5. Ensuring Similar Computational Resources to Stateful Workloads Running on a Diverse Server Fleet
  6. Scaling AI in Legal: Building Uber’s Redlining Agent
  7. Designing MCP Gateway Uber's MCP Management Platform
  8. New commute features and meal delivery are helping companies as they return to the office
  9. Taming the ML Firehose: Scaling Feature Consistency
  10. Running a Software Factory Efficiently at Uber Scale
  11. Introducing Husker Share, the University of Nebraska-Lincoln’s latest program with Uber
  12. Broadening our reach: introducing the final cohort of recipients of the Uber Transit Innovation Fund
  13. Rider insights: How NJ Transit’s Access Link Riders’ Choice Pilot redefines mobility freedom
  14. Using Uber: your guide to NJ TRANSIT’s Access Link Riders’ Choice Pilot 2.0
  15. Using Uber: your guide to Pace's RAP Program
  16. Access On Demand pilot with RTD’s Access-a-Ride
  17. Scaling Verify with Wallet for Identity Verification at Uber
  18. How the University of Nebraska-Lincoln teams up with Uber to power late-night rides
  19. Meet the first cohort of recipients shaping the future with the Uber Transit Innovation Fund
  20. Scaling Real-Time Traffic Forecasting with a Graph-Aware Transformer
  21. Zero-Growth Stack, Real Gains: How Stack Allocation Can Save 10% CPU in Go
  22. How Ansible® Automation Powers the Uber Corporate Network at a Global Scale
  23. Introducing the $1M Uber Transit Innovation Fund
  24. Next-gen transit: Votran’s innovative model for multimodal partnership
  25. Hybrid Core Allocation: From Overallocation to Reliable Sharing
  26. How Uber Conquered Database Overload: The Journey from Static Rate-Limiting to Intelligent Load Management
  27. Next-Gen Restaurant Recommendation with Generative Modeling and Real-Time Features
  28. Accelerating Search and Ingestion with High-Performance gRPC™ in OpenSearch™
  29. Innovative Recommendation Applications Using Two Tower Embeddings at Uber
  30. Open Source and In-House: How Uber Optimizes LLM Training
  31. Evolution and Scale of Uber’s Delivery Search Platform
  32. Introducing HoosierShare, Indiana University’s innovative program with Uber
  33. Under the Hood: Scaling Responsible AI at Uber
  34. Accelerating Deep Learning: How Uber Optimized Petastorm for High-Throughput and Reproducible GPU Training
  35. Campus chaos, resolved: streamlining event transportation with Vouchers
  36. How the University of Illinois streamlines faculty travel with Uber
  37. How Uber Executed A JUnit Migration at Massive Scale
  38. Mobility for all: How Uber supports Los Angeles’s vision of universal basic mobility
  39. How Uber Built an Agentic System to Automate Design Specs in Minutes
  40. Transforming Ads Personalization with Sequential Modeling and Hetero-MMoE at Uber
  41. Building High Throughput Payment Account Processing
  42. Superuser Gateway: Guardrails for Privileged Command Execution
  43. Database Federation: Decentralized and ACL-Compliant Hive™ Databases
  44. Uber’s Rate Limiting System
  45. Introducing uFowarder: The Consumer Proxy for Kafka Async Queuing
  46. How Uber Scaled Data Replication to Move Petabytes Every Day
  47. Apache Hudi™ at Uber: Engineering for Trillion-Record-Scale Data Lake Operations
  48. From Monitoring to Observability: Our Ultra-Marathon to a Cloud-Native Platform
  49. Uber Advertising Creative Studio Debuts Journey Takeover, Turning Everyday Trips Into Immersive In-App Advertising Experiences

2025 66

  1. Beyond the books: how Compton College supports its students with Uber Eats
  2. Powering Billion-Scale Vector Search with OpenSearch
  3. How Uber Indexes Streaming Data with Pull-Based Ingestion in OpenSearch™
  4. How Uber, OCI™, and Ampere® Co-Optimized OCI AmpereOne® M A4 Compute
  5. From Batch to Streaming: Accelerating Data Freshness in Uber’s Data Lake
  6. Blazing Fast OLAP on Uber’s Inventory and Catalog Data with Apache Pinot™
  7. Improving MySQL® Cluster Uptime: Making MGR Viable at Scale
  8. Improving MySQL® Cluster Uptime: Designing Advanced Detection, Mitigation, and Consensus with Group Replication
  9. New Global Survey Reiterates Uber’s Role in Reducing Drunk Driving
  10. Ceilometer: Uber’s Adaptive Benchmarking Framework
  11. Enhancing Uber’s Guidance Heatmap with Deep Probabilistic Models
  12. I/O Observability for Uber’s Massive Petabyte-Scale Data Lake
  13. Case study: How Bloomington Transit broadens reach without breaking the budget
  14. Building Zone Failure Resilience in Apache Pinot™ at Uber
  15. Uber Advertising Unveils Industry-First Custom Attention Metric with Adelaide and Kantar
  16. Raising the Bar on ML Model Deployment Safety
  17. Enabling Deep Model Explainability with Integrated Gradients at Uber
  18. Game changers: how Lafayette College balances academics and athletics with Uber
  19. Requirement Adherence: Boosting Data Labeling Quality Using LLMs
  20. Rebuilding Uber’s Apache Pinot™ Query Architecture
  21. Cadence Workflow Joins the Cloud Native Computing Foundation
  22. How Uber Standardized Mobile Analytics for Cross-Platform Insights
  23. Campus cravings: exploring the top Uber Eats meals at universities
  24. Uber’s Strategy to Upgrading 2M+ Spark Jobs
  25. Adding Determinism and Safety to Uber IAM Policy Changes
  26. Open-Sourcing Starlark Worker: Define Cadence Workflows with Starlark
  27. Building Uber’s Data Lake: Batch Data Replication Using HiveSync
  28. Controlling the Rollout of Large-Scale Monorepo Changes
  29. How Uber Serves over 150 Million Reads per Second from Integrated Cache with Stronger Consistency Guarantees
  30. Lightweight Office Infrastructure: Transitioning from Backbone to SD-WAN
  31. Forecasting Models to Improve Driver Availability at Airports
  32. Locking Down the Fleet: Encryption at Rest and Disk Isolation at Scale
  33. uReview: Scalable, Trustworthy GenAI for Code Review at Uber
  34. From Restaurants to Retail: Scaling Uber Eats for Everything
  35. PerfInsights: Detecting Performance Optimization Opportunities in Go Code using Generative AI
  36. Unlocking Financial Insights with Finch: Uber’s Conversational AI Data Agent
  37. How Uber helps power the University of Arkansas men’s track & field team
  38. How Uber Processes Early Chargeback Signals
  39. HT Surf&Uber partnership
  40. Reinforcement Learning for Modeling Marketplace Balance
  41. Uber takes center stage at Cannes Lions: innovation, creativity, and the future of advertising
  42. Slashing CI Costs at Uber
  43. The Evolution of Uber’s Search Platform
  44. Automating Kerberos Keytab Rotation at Uber
  45. How Uber Migrated from Hive to Spark SQL for ETL Workloads
  46. From Archival to Access: Config-Driven Data Pipelines
  47. Enhanced Agentic-RAG: What If Chatbots Could Deliver Near-Human Precision?
  48. Robust Database Backup Recovery at Uber
  49. Building Uber’s Multi-Cloud Secrets Management Platform to Enhance Security
  50. Migrating Large-Scale Interactive Compute Workloads to Kubernetes Without Disruption
  51. Fixrleak: Fixing Java Resource Leaks with GenAI
  52. Migrating Uber’s Compute Platform to Kubernetes: A Technical Journey
  53. Advancing Invoice Document Processing at Uber using GenAI
  54. Uber’s Journey to Ray on Kubernetes: Resource Management
  55. Case study: how Wellington County enhances mobility options for rural townships
  56. Uber’s Journey to Ray on Kubernetes: Ray Setup
  57. How medical schools support the next generation of doctors with Uber
  58. Enhancing Personalized CRM Communication with Contextual Bandit Strategies
  59. Automating Efficiency of Go programs with Profile-Guided Optimizations
  60. A beginner’s guide to Uber vouchers for riders
  61. Adopting Arm at Scale: Transitioning to a Multi-Architecture Environment
  62. Adopting Arm at Scale: Bootstrapping Infrastructure
  63. MySQL At Uber
  64. How Uber Uses Ray® to Optimize the Rides Business
  65. How Uber Eats fuels the University of Miami Hurricanes off the field
  66. Case study: how the University of Kentucky transformed Wildcab with Uber

2024 63

  1. Moving STRIPES: innovating student transportation at Mizzou
  2. Serving Millions of Apache Pinot™ Queries with Neutrino
  3. Introducing the Prompt Engineering Toolkit
  4. The Accounter: Scaling Operational Throughput on Uber’s Stateful Platform
  5. Unified Checkout: Streamlining Uber’s Payment Ecosystem
  6. Presto® Express: Speeding up Query Processing with Minimal Resources
  7. Enabling Infinite Retention for Upsert Tables in Apache Pinot
  8. Uber, Unplugged: insights from 6 transit leaders on the future of how we move
  9. Streamlining Financial Precision: Uber’s Advanced Settlement Accounting System
  10. Horacio’s story: gaining mobility independence through innovative transportation solutions
  11. Genie: Uber’s Gen AI On-Call Copilot
  12. Making Uber’s ExperimentEvaluation Engine 100x Faster
  13. Connecting communities: how Harrisburg University expands transportation access with Uber
  14. Preon: Presto Query Analysis for Intelligent and Efficient Analytics
  15. How to Measure Design System at Scale
  16. QueryGPT – Natural Language to SQL Using Generative AI
  17. Transforming Executive Travel: Delegate Booking with Uber
  18. DataMesh: How Uber laid the foundations for the data lake cloud migration
  19. Lucene: Uber’s Search Platform Version Upgrade
  20. Pinot for Low-Latency Offline Table Analytics
  21. Continuous deployment for large monorepos
  22. Shifting E2E Testing Left at Uber
  23. Charting the mobility evolution: excerpts from Uber’s latest industry paper
  24. Sparkle: Standardizing Modular ETL at Uber
  25. Upgrading Uber’s MySQL Fleet to version 8.0
  26. Differential Backups in MyRocks Based Distributed Databases at Uber
  27. Enabling Security for Hadoop Data Lake on Google Cloud Storage
  28. Pickup in 3 minutes: Uber’s implementation of Live Activity on iOS
  29. Odin: Uber’s Stateful Platform
  30. Evolving partnerships: how Uber and Brightline rapidly innovate with flexible tech
  31. Revolutionizing the rider experience: insights from Uber’s Global Head of Transit Partnerships
  32. Navigating the LLM Landscape: Uber’s Innovation with GenAI Gateway
  33. Introduction to Kafka Tiered Storage at Uber
  34. Modernizing Logging at Uber with CLP (Part II)
  35. How Uber ensures Apache Cassandra®’s tolerance for single-zone failure
  36. Debugging with Production Neighbors – Powered by SLATE
  37. Personalized Marketing at Scale: Uber’s Out-of-App Recommendation System
  38. Flaky Tests Overhaul at Uber
  39. Modernizing Uber’s Batch Data Infrastructure with Google Cloud Platform
  40. How Uber Accomplishes Job Counting At Scale
  41. Uber Becomes Kotlin™ Foundation Silver Member
  42. Upgrading M3DB from v1.1 to v1.5
  43. DataK9: Auto-categorizing an exabyte of data at field level through AI/ML
  44. From Predictive to Generative – How Michelangelo Accelerates Uber’s AI Journey
  45. DragonCrawl: Generative AI for High-Quality Mobile Testing
  46. Uber for Business introduces new tool for executive assistants
  47. Ensuring Precision and Integrity: A Deep Dive into Uber’s Accounting Data Testing Strategies
  48. Migrating a Trillion Entries of Uber’s Ledger Data from DynamoDB to LedgerStore
  49. How LedgerStore Supports Trillions of Indexes at Uber
  50. Scaling AI/ML Infrastructure at Uber
  51. Model Excellence Scores: A Framework for Enhancing the Quality of Machine Learning Systems at Scale
  52. Balancing HDFS DataNodes in the Uber DataLake
  53. Load Balancing: Handling Heterogeneous Hardware
  54. Network IDS Ruleset Management with Aristotle v2
  55. Building Scalable, Real-Time Chat to Improve Customer Experience
  56. How Uber Serves Over 40 Million Reads Per Second from Online Storage Using an Integrated Cache
  57. Case study: Tri-Rail’s role in paving the way for effortless commuting
  58. Public transport agencies trial mixed fleets to implement local on-demand transport
  59. Jupiter: Config Driven Adtech Batch Ingestion Platform
  60. DataCentral: Uber’s Big Data Observability and Chargeback Platform
  61. Stopping Uber Fraudsters Through Risk Challenges
  62. Palette Meta Store Journey
  63. Uber: GC Tuning for Improved Presto Reliability

2023 55

  1. uVitals – An Anomaly Detection & Alerting System
  2. Supercharge the Way You Render Large Lists in React
  3. Improving Uber Eats Home Feed Recommendations via Debiased Relevance Predictions
  4. Cinnamon Auto-Tuner: Adaptive Concurrency in the Wild
  5. PID Controller for Cinnamon
  6. Access Link Riders’ Choice Program Pilot gains popularity with riders
  7. Cinnamon: Using Century Old Tech to Build a Mean Load Shedder
  8. NilAway: Practical Nil Panic Detection for Go
  9. Our Journey Adopting SPIFFE/SPIRE at Scale
  10. Real-Time Analytics for Mobile App Crashes using Apache Pinot
  11. Use Passkeys Wherever You Sign in to Uber
  12. Accelerating Advertising Optimization: Unleashing the Power of Ads Simulation
  13. Unified Session for Analytical Events
  14. From Light to Dark: The Story Behind Dark Mode on the Android Uber App
  15. Risk Entity Watch – Using Anomaly Detection to Fight Fraud
  16. Selective Column Reduction for DataLake Storage Cost Efficiency
  17. Using Uber: your guide to the Access-A-Ride E-Hail Pilot Program
  18. CheckEnv: Fast Detection of RPC Calls Between Environments Powered by Graphs
  19. Enhancing safety and responsibility: why programs like Princeton PD Provides Your DD with Uber Transit are beneficial for university towns
  20. Up: Portable Microservices Ready for the Cloud
  21. Case study: DART goes big in 30 zones
  22. Bypassing Large Diffs in SubmitQueue
  23. The Perils of Migrating a Large-Scale Service at Uber
  24. Evolution of Data Lifecycle Management at Uber
  25. Dynamic Executor Core Resizing in Spark
  26. The Transformative Power of Generative AI in Software Development: Lessons from Uber’s Tech-Wide Hackathon
  27. How Uber Optimized Cassandra Operations At Scale
  28. Attribute-Based Access Control at Uber
  29. Fast Copy-On-Write within Apache Parquet for Data Lakehouse ACID Upserts
  30. Announcing Cadence 1.0: The Powerful Workflow Platform Built for Scale and Reliability
  31. Automated Audit Framework For Internet Scale Financial Transactions
  32. Identifying Green Vehicles for a Zero-Emission Future
  33. Spark Analysers: Catching Anti-Patterns In Spark Apps
  34. How to improve paratransit service delivery with TNCs: answers to your questions
  35. Visa airport bank promo
  36. Optimizing HDFS with DataNode Local Cache for High-Density HDD Adoption
  37. Cybersecurity Incident Simulation @ Uber
  38. Bootstrapping Uber’s Infrastructure on arm64 with Zig
  39. Measuring Performance for iOS Apps at Uber Scale
  40. InsureTech: Insurance Compliance
  41. Case study: WMATA meets its goals by giving paratransit riders more choices
  42. Demand and ETR Forecasting at Airports
  43. Terms and conditions
  44. Setting Uber’s Transactional Data Lake in Motion with Incremental ETL Using Apache Hudi
  45. Case study: How Kyle, Texas, benefits from rideshare
  46. How We Unified Configuration Distribution Across Systems at Uber
  47. Why some customers might get charged before a trip
  48. Uber’s Sustainable Engineering Journey
  49. D3: An Automated System to Detect Data Drifts
  50. Fixing Go’s Linker: An Unexpected Journey into ARM64, DWARF, and Linker Internals
  51. uAct – Unified Action Platform
  52. How the Uber Membership Team Developed the ActionCard Design Pattern to Do More with Less
  53. Containerizing the Beast – Hadoop NameNodes in Uber’s Infrastructure
  54. Scaling Adoption of Kerberos at Uber
  55. How Brightline transforms customer experience at all steps of the journey, with Brightline+ and Uber

2022 49

  1. Devpod: Improving Developer Productivity at Uber with Remote Development
  2. How My Uber Internship Expanded My Horizons
  3. 1033latime
  4. LeakProf: Featherlight In-Production Goroutine Leak Detection
  5. How Uber Optimizes the Timing of Push Notifications using ML and Linear Programming
  6. Speed Up Presto at Uber with Alluxio Local Cache
  7. Simplifying Developer Testing Through SLATE
  8. Introducing WorkflowGuard: The Workflow Governance and Observability System That Oversees over 120,000 Data Workflows
  9. uBuild: Fast and Safe Building of Thousands of Container Images
  10. Reducing Logging Cost by Two Orders of Magnitude using CLP
  11. Thank you for your feedback!
  12. Thank you for your feedback!
  13. Thank you for your feedback!
  14. Thank you for your feedback!
  15. Thank you for your feedback!
  16. Pfetch a Ride with Uber in Pflugerville, Texas
  17. Thank you for your feedback!
  18. Thank you for your feedback!
  19. Crane: Uber’s Next-Gen Infrastructure Stack
  20. The Pinellas Suncoast Transit Authority taps into Uber to connect 3 counties and extend transit service on nights and weekends
  21. Deduping and Storing Images at Uber Eats
  22. MySQL to MyRocks Migration in Uber’s Distributed Datastores
  23. What is an Authorization Hold?
  24. Uber’s Next Gen Push Platform on gRPC
  25. ML Education at Uber: Program Design and Outcomes
  26. ML Education at Uber: Frameworks Inspired by Engineering Principles
  27. Supercharging A/B Testing at Uber
  28. Vertical CPU Scaling: Reduce Cost of Capacity and Increase Reliability
  29. Uber’s Highly Scalable and Distributed Shuffle as a Service
  30. Introducing Shadower: A Minimalistic Load Testing Tool
  31. How We Halved Go Monorepo CI Build Time
  32. Enabling Offline Inferences at Uber Scale
  33. Uber’s Real-Time Document Check
  34. Data Race Patterns in Go
  35. USL – Uber’s Unified Signup and Login Stack
  36. Better Load Balancing: Real-Time Dynamic Subsetting
  37. Dynamic Data Race Detection in Go Code
  38. Presto® on Apache Kafka® At Uber Scale
  39. Securing Kafka® Infrastructure at Uber
  40. Uber’s Emergency Button and The Technologies Behind It
  41. Avoiding CPU Throttling in a Containerized Environment
  42. One Stone, Three Birds: Finer-Grained Encryption @ Apache Parquet™
  43. Introducing Ballast: An Adaptive Load Test Framework
  44. Introducing Carbon Feed for Earners: The One-Stop Info Shop
  45. DeepETA: How Uber Predicts Arrival Times Using Deep Learning
  46. Project RADAR: Intelligent Early Fraud Detection System with Humans in the Loop
  47. Cost Efficiency @ Scale in Big Data File Format
  48. Capacity Recommendation Engine: Throughput and Utilization Based Predictive Scaling
  49. The New Version of Orbit (v1.1) is Released: The Improvements, Design Changes, and Exciting Collaborations

2021 52

  1. How We Saved 70K Cores Across 30 Mission-Critical Services (Large-Scale, Semi-Automated Go GC Tuning @Uber)
  2. Cadence Multi-Tenant Task Processing
  3. CRISP: Critical Path Analysis for Microservice Architectures
  4. How Uber Migrated Financial Data from DynamoDB to Docstore
  5. Introducing uGroup: Uber’s Consumer Management Framework
  6. Improving HDFS I/O Utilization for Efficiency
  7. Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud Spanner
  8. Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot
  9. YAML Generator for Funnel YAML Files: Streamlining the Mobile Data Workflow Process
  10. Jellyfish: Cost-Effective Data Tiering for Uber’s Largest Storage System
  11. Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework
  12. Enabling Seamless Kafka Async Queuing with Consumer Proxy
  13. How Data Shapes the Uber Rider App
  14. Building Scalable Streaming Pipelines for Near Real-Time Features
  15. Eats Safety Team On-Call Overview
  16. Unifying Support Content to Enable More Empathetic and Personalized Customer Support Experiences
  17. Efficiently Managing the Supply and Demand on Uber’s Big Data Platform
  18. Cost-Efficient Open Source Big Data Platform at Uber
  19. Challenges and Opportunities to Dramatically Reduce the Cost of Uber’s Big Data
  20. How Uber Achieves Operational Excellence in the Data Quality Experience
  21. Uber’s Finance Computation Platform
  22. Pinot Real-Time Ingestion with Cloud Segment Storage
  23. Uber’s Fulfillment Platform: Ground-up Re-architecture to Accelerate Uber’s Go/Get Strategy
  24. Containerizing Apache Hadoop Infrastructure at Uber
  25. ‘Orders Near You’ and User-Facing Analytics on Real-Time Geospatial Data
  26. Analyzing Customer Issues to Improve User Experience
  27. Customer Support Automation Platform at Uber
  28. Tuning Model Performance
  29. Elastic Distributed Training with XGBoost on Ray
  30. Continuous Integration and Deployment for Machine Learning Online Serving and Models
  31. Efficient and Reliable Compute Cluster Management at Scale
  32. Handling Flaky Unit Tests in Java
  33. The Evolution of Data Science Workbench
  34. Scaling of Uber’s API gateway
  35. Fraud Detection: Using Relational Graph Learning to Detect Collusion
  36. The Architecture of Uber’s API gateway
  37. Introducing Orbit, An Open Source Package for Time Series Inference and Forecasting
  38. pprof++: A Go Profiler with Hardware Performance Monitoring
  39. Optimal Feature Discovery: Better, Leaner Machine Learning Models Through Information Theory
  40. Automating Merchant Live Monitoring with Real-Time Analytics: Charon
  41. Freight Pricing with a Controlled Markov Decision Process
  42. Flipr: Making Changes Quickly and Safely at Scale
  43. Uber’s Journey Toward Better Data Culture From First Principles
  44. Navigating to the Technical Program Management and Learning Team
  45. Elastic Deep Learning with Horovod on Ray
  46. Applying Machine Learning in Internal Audit with Sparsely Labeled Data
  47. How Uber Deals with Large iOS App Size
  48. Evolving Schemaless into a Distributed SQL Database
  49. Fast and Reliable Schema-Agnostic Log Analytics Platform
  50. Making transportation more accessible and affordable with The COMET
  51. Uber’s Real-time Data Intelligence Platform At Scale: Improving Gairos Scalability/Reliability
  52. The Journey Towards Metric Standardization

2020 68

  1. Disaster Recovery for Multi-Region Kafka at Uber
  2. Uber’s Real-Time Push Platform
  3. No Code Workflow Orchestrator for Building Batch & Streaming Pipelines at Scale
  4. Horovod v0.21: Optimizing Network Utilization with Local Gradient Aggregation and Grouped Allreduce
  5. Turning Metadata Into Insights with Databook
  6. Meet the 2020 Safety Engineering Interns: COVID Edition
  7. Operating Apache Pinot @ Uber Scale
  8. Building from the Baltics: Meet the Uber Engineering Team in Vilnius, Lithuania
  9. Ludwig v0.3 Introduces Hyperparameter Optimization, Transformers and TensorFlow 2 support
  10. Revolutionizing Money Movements at Scale with Strong Data Consistency
  11. Designing Edge Gateway, Uber’s API Lifecycle Management Platform
  12. Top companies give Uber Eats credit to stay connected with customers and employees
  13. Standing for Safety: Meet the Uber São Paulo Tech Team
  14. Introducing Domain-Oriented Microservice Architecture
  15. Uber’s real estate VP weighs in on the future of in-office work
  16. Engineering Failover Handling in Uber’s Mobile Networking Infrastructure
  17. Fiber: Distributed Computing for AI Made Simple
  18. Editing Massive Geospatial Data Sets with nebula.gl
  19. Profiles in Coding: Diana Yanakiev, Uber ATG, Pittsburgh
  20. MultiChoice needed to transport critical employees during lockdown. Their choice? Uber for Business.
  21. Building a Large-scale Transactional Data Lake at Uber Using Apache Hudi
  22. Uber + Big Fernand: Bringing business back with a commute program
  23. Introducing Neuropod, Uber ATG’s Open Source Deep Learning Inference Engine
  24. Inside Uber ATG’s Data Mining Operation: Identifying Real Road Scenarios at Scale for Machine Learning
  25. Meta-Graph: Few-Shot Link Prediction Using Meta-Learning
  26. 3 Gen Z trends to watch out for: what managers should know
  27. Profiles in Coding: Christabelle Bosson, Uber Elevate, San Francisco
  28. How Gen Z apps can enhance company policies
  29. Developing the Next Generation of Coders with the Dev/Mission <> Uber Coding Fellowship
  30. Introducing Athenadriver: An Open Source Amazon Athena Database Driver for Go
  31. They helped move the world. Learn how they can help your team.
  32. Uber + Singulart: Making virtual “happy hour” stand out with meal deliveries
  33. Interview: Aurélie Krau’s advice on Gen Z, Millennials and business travel
  34. Building Uber’s Go Monorepo with Bazel
  35. Announcing a New Framework for Designing Optimal Experiments with Pyro
  36. 3 Gen Z priorities that will affect business processes in the future
  37. Redefining travel policies during a global crisis
  38. Monitoring Data Quality at Scale with Statistical Modeling
  39. Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
  40. How will the differences between Gen Z vs. Millennials impact business?
  41. The needs and wants of a multigenerational workforce
  42. Supporting the community in Miami in a time of need
  43. Interview: Roberta Iorizzo’s secrets to rolling out a global travel policy
  44. Duty of care and the information gap
  45. Crisis management safeguards for the proactive travel manager
  46. Introducing Piranha: An Open Source Tool to Automatically Delete Stale Code
  47. Fostering a Culture of Sponsorship: Introducing Uber’s Engineering and Sponsorship Development Program
  48. Why We Leverage Multi-tenancy in Uber’s Microservice Architecture
  49. Celebrating International Women’s Day: Meet the Women Building Uber’s Global Platform
  50. Introducing Uber’s Open Source Principles
  51. Under the Hood of Uber ATG’s Machine Learning Infrastructure and Versioning Control Platform for Self-Driving Vehicles
  52. Dragon: Schema Integration at Uber Scale
  53. Profiles in Coding: Rick Boone, Core Infrastructure, San Francisco
  54. Tricks of the Trade: Tuning JVM Memory for Large-scale Services
  55. Building the Future of Mobility from the Pacific Northwest: Meet the Uber Seattle Tech Team
  56. Influencer interview: Pim De Weerd, Global Commodity Manager Mobility
  57. Building a Backtesting Service to Measure Model Performance at Uber-scale
  58. Counting Calories: How We Improved the Performance and Developer Experience of UberEats.com
  59. Our round-up of Uber for Business sustainability articles
  60. Influencer interview: Sacha Handgraaf, Sustainability Speaker and Trainer
  61. Women in Data Science at Uber: Moving the World With Data in 2020—and Beyond
  62. 7 ideas that will help you plan more sustainable events
  63. Designing a Production-Ready Kappa Architecture for Timely Data Stream Processing
  64. Engineering SQL Support on Apache Pinot at Uber
  65. Influencer interview: Marjan Verbeek, Strategic Partnership Manager
  66. Open Sourcing Manifold, a Visual Debugging Tool for Machine Learning
  67. Event recap—Taking the Green Route: the Sustainable Traveller
  68. Uber Visualization Highlights: Displaying City Street Speed Clusters with SpeedsUp

2019 143

  1. Uber Open Source in 2019: Community Engagement and Contributions
  2. Uber Infrastructure in 2019: Improving Reliability, Driving Customer Satisfaction
  3. Year in Review: 2019 Highlights from the Uber Engineering Blog
  4. Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
  5. Uber AI in 2019: Advancing Mobility with Artificial Intelligence
  6. Uber’s Data Platform in 2019: Transforming Information to Intelligence
  7. Influencer interview: James Dent, Corporate Travel Sustainability Expert
  8. 9 tips for greener business travel
  9. Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber
  10. Controlling Text Generation with Plug and Play Language Models
  11. Uber Goes to NeurIPS 2019
  12. Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations
  13. RxCentral: Uber’s Open Source Library for Seamless Bluetooth Integrations
  14. Optimizing Observability with Jaeger, M3, and XYS at Uber
  15. Announcing the 2020 Uber AI Residency
  16. 7 eco-friendly apps that help businesses go green
  17. Global Tech in the Great Outdoors: Meet Uber’s Boulder Tech Office
  18. Uber Visualization Highlights: How Urban Symphony Adds an Audio Dimension to Visualization
  19. Introducing Menu Maker: Uber Eats’ New Menu Management Tool
  20. Influencer interview: Horst Bayer, Travel Sustainability Expert
  21. Conducting Better Business with Uber’s Open Source Orchestration Tool, Cadence
  22. Uber’s Data Protection Officer
  23. Improving Pickups with Better Location Accuracy
  24. More ways to delight your customers
  25. Taking City Visualization into the Third Dimension with Point Clouds, 3D Tiles, and deck.gl
  26. Get to Know Uber ATG at ICCV, CoRL, and IROS 2019
  27. IT Engineering: Meet the Team that Keeps Uber Moving
  28. Evolving Michelangelo Model Representation for Flexibility at Scale
  29. Uber Comfort and Uber XL – two new services with higher class or spacious vehicles
  30. Building a Better Big Data Architecture: Meet Uber’s Presto Team
  31. Influencer in the hot seat: Nora Dauffy, Procurement Professional
  32. Searchable Ground Truth: Querying Uncommon Scenarios in Self-Driving Car Development
  33. On Internships, Career Advice, and Reaching 15B Rides: A Conversation with Uber CTO Thuan Pham
  34. Uber Joins LF Presto Foundation to Advance Open Source Analytics
  35. Introducing Hypothesis GU Funcs, an Open Source Python Package for Unit Testing
  36. Gaining Confidence and Improving Android Developer Workflows as a Software Engineering Intern at Uber
  37. Science at Uber: Improving Transportation with Artificial Intelligence
  38. Bringing Uber Freight to Chicago: A Conversation with Engineering Manager Tory Schober
  39. Three Approaches to Scaling Machine Learning with Uber Seattle Engineering
  40. Introducing LCA: Loss Change Allocation for Neural Network Training
  41. Science at Uber: Powering Machine Learning at Uber
  42. Introducing Cyborg, an Open Source iOS Implementation of Android VectorDrawable
  43. Best Practices for Unit Testing in React Version 16
  44. Using GraphQL to Improve Data Hydration in our Customer Care Platform and Beyond
  45. Science at Uber: Innovating Across Digital and Physical Worlds
  46. Building the New Uber Freight App as Lists of Modular, Reusable Components
  47. Advancing AI: A Conversation with Jeff Clune, Senior Research Manager at Uber
  48. Science at Uber: Making a Real-world Impact with Data Science
  49. Influencer in the hot seat: Abigail Jones, Executive Assistant
  50. How to change from pay-per-trip to monthly billing
  51. Less is More: Engineering Data Warehouse Efficiency with Minimalist Design
  52. Science at Uber: Applying Artificial Intelligence at Uber
  53. Enabling Collaboration through Open Source: Highlights from Uber Open Summit Sofia 2019
  54. $20 off RTA Connect UberX rides
  55. Migrating Functionality Between Large-scale Production Systems Seamlessly
  56. Science at Uber: Powering Uber’s Ridesharing Technologies Through Mapping
  57. Science at Uber: Bringing Research to the Roads
  58. Building a More Seamless Web Booking Flow for Uber
  59. Introducing Uber Poet, an Open Source Mock App Generator for Determining Faster Swift Builds
  60. Ludwig v0.2 Adds New Features and Other Improvements to its Deep Learning Toolbox
  61. Showcasing the Technologies and Teams from Uber’s European Engineering Sites
  62. Science at Uber: Building a Data Science Platform at Uber
  63. Introducing EvoGrad: A Lightweight Library for Gradient-Based Evolution
  64. What to see in Pula
  65. What to see in Dubrovnik
  66. Making Apache Spark Effortless for All of Uber
  67. Introducing the Plato Research Dialogue System: A Flexible Conversational AI Platform
  68. MoneyCon ’19: Uber Hosts its First FinTech Engineering Conference
  69. Visualizing City Cores with H3, Uber’s Open Source Geospatial Indexing System
  70. With Uber to Ultra: we are taking you closest to the stadium
  71. What to see in Zagreb
  72. What to see in Split
  73. Solving for Urban Air Travel: A Q&A with François Sillion, Director of Uber ATCP
  74. Gaining Insights in a Simulated Marketplace with Machine Learning at Uber
  75. On-demand paratransit program, The RIDE Flex, with the MBTA
  76. Using Causal Inference to Improve the Uber User Experience
  77. No Coding Required: Training Models with Ludwig, Uber’s Open Source Deep Learning Toolbox
  78. Setting the Pace: A Q&A with Jennifer Anderson, Senior Director of Engineering at Uber
  79. Learnings in Web Development: Design Patterns, Elm, and Progressive Enhancement
  80. Power On: Accelerating Uber’s Self-Driving Vehicle Development with Data
  81. Second Uber Science Symposium: Showcasing Developments in Programming Systems and Tools
  82. Activity/Service as a Dependency: Rethinking Android Architecture for the Uber Driver App
  83. Uber Open Source: Catching Up with Felix Cheung, Data Platform Engineering Manager
  84. Second Uber Science Symposium: Exploring Advances in Behavioral Science
  85. Visualizing Traffic Safety with Uber Movement Data and Kepler.gl
  86. Employing QUIC Protocol to Optimize Uber’s App Performance
  87. Uber Engineering Celebrates Take Your Kids to Work Day
  88. Uber Joins Urban Computing Foundation, Contributes Kepler.gl as Organization’s First Hosted Project
  89. Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
  90. Measuring Kotlin Build Performance at Uber
  91. Improving Uber’s Mapping Accuracy with CatchME
  92. Activating your Uber for Business profile
  93. Activating your Uber for Business profile
  94. Consistent Data Partitioning through Global Indexing for Large Apache Hadoop Tables at Uber
  95. Uber Submits Hudi, an Open Source Big Data Library, to The Apache Software Foundation
  96. Optimizing M3: How Uber Halved Our Metrics Ingestion Latency by (Briefly) Forking the Go Compiler
  97. Introducing Base Web, Uber’s New Design System for Building Websites in React
  98. Learning on the Go: Engineering Efficiency with Concise Documentation
  99. Uber Open Source: Catching Up with Celina Ward, M3 Observability Engineer
  100. Scaling Mobile Device Management for macOS with Chef at Uber
  101. Build a ‘Hello World!’ Application in 5 Minutes with Fusion.js
  102. Improving the User Experience with Uber’s Customer Obsession Ticket Routing Workflow and Orchestration Engine
  103. Building a Real-time Earnings Tracker into Uber’s New Driver App
  104. How to prioritise traveller well-being
  105. Uber Case Study: Choosing the Right HDFS File Format for Your Apache Spark Jobs
  106. Solving Big Data Challenges with Data Science at Uber
  107. Accessible Machine Learning through Data Workflow Management
  108. Announcing the Uber Open Summit Sofia 2019
  109. DBEvents: A Standardized Framework for Efficiently Ingesting Data into Uber’s Apache Hadoop Data Lake
  110. Data Science at Scale: A Conversation with Uber’s Fran Bell
  111. Mitigating Risk in a Three-Sided Marketplace: A Conversation with Trupti Natu and Neel Mouleeswaran on the Uber Eats Risk Team
  112. Open Sourcing Peloton, Uber’s Unified Resource Scheduler
  113. Using Machine Learning to Ensure the Capacity Safety of Individual Microservices
  114. Introducing Kraken, an Open Source Peer-to-Peer Docker Registry
  115. The Uber Engineering Internship Experience: European Edition
  116. Architecting a Safe, Scalable, and Server-Driven Platform for Driver Preferences with RIBs
  117. Managing Uber’s Data Workflows at Scale
  118. Profiles in Coding: Tatiana Romanova, Uber Payments Platform, Amsterdam
  119. Creating Custom Plugins with Fusion.js, Uber’s Open Source Web Framework
  120. Three questions business travelers ask themselves on the road
  121. Uber Open Source: Catching Up with Fritz Obermeyer and Noah Goodman from the Pyro Team
  122. Pyro Accepted by the LF Deep Learning Foundation as a Hosted Project
  123. Horovod Adds Support for PySpark and Apache MXNet and Additional Features for Faster Training
  124. Introducing AVS, an Open Standard for Autonomous Vehicle Visualization from Uber
  125. Meet Uber Sofia’s Women in Tech
  126. Modeling Censored Time-to-Event Data Using Pyro, an Open Source Probabilistic Programming Language
  127. Engineering Uber Beacon: Matching Riders and Drivers in 24-bit RGB Colors
  128. First Uber Science Symposium: Discussing the Next Generation of RL, NLP, ConvAI, and DL
  129. Introducing Ludwig, a Code-Free Deep Learning Toolbox
  130. Why Financial Planning is Exciting… At Least for a Data Scientist
  131. How to build a future-proof travel policy
  132. Building Locally, Scaling Globally: Meet the Tech Team at Uber New York City
  133. Introducing AresDB: Uber’s GPU-Powered Open Source, Real-time Analytics Engine
  134. How Uber Leverages Applied Behavioral Science at Scale
  135. Expanding Access: Engineering Uber Lite
  136. Aarhus Engineering Internship: Building Aggregation Support for YQL, Uber’s Graph Query Language for Grail
  137. Manifold: A Model-Agnostic Visual Debugging Tool for Machine Learning at Uber
  138. Building a Scalable and Reliable Map Interface for Drivers
  139. Creating a Zoo of Atari-Playing Agents to Catalyze the Understanding of Deep Reinforcement Learning
  140. POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer
  141. From Self-Driving Cars to Optimizing Claims Efficiency: My Unconventional Journey to Insurance Engineering
  142. Uber + VivaTech: improving event attendee experiences through innovation
  143. How to Ship an App Rewrite Without Risking Your Entire Business

2018 134

  1. Women in Data Science at Uber: Moving the World With Data
  2. Profiles in Coding: Sylvain Francois, Uber Freight
  3. Year in Review: 2018 Highlights from the Uber Engineering Blog
  4. How to address work trip extensions in your travel policy
  5. Year in Review: 2018 Highlights from Uber Open Source
  6. Four Ways Uber Visualization Made an Impact in 2018
  7. Interning at Uber: Building the Uber Eats Menu Scheduler
  8. Open Source at Uber: Meet Alex Sergeev, Horovod Project Lead
  9. Horovod Joins the LF Deep Learning Foundation as its Newest Project
  10. Scaling Cash Payments in Uber Eats
  11. Faster Neural Networks Straight from JPEG
  12. The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
  13. Introducing Makisu: Uber’s Fast, Reliable Docker Image Builder for Apache Mesos and Kubernetes
  14. Uber at the University of Pennsylvania
  15. Engineering Uber’s Next-Gen Payments Platform
  16. Uber Joins the Linux Foundation’s OpenChain Project as a Platinum Member
  17. Sessionizing Uber Trips in Real Time
  18. How to Get a Better GAN (Almost) for Free: Introducing the Metropolis-Hastings GAN
  19. How Uber’s New Driver App Overcomes Network Lag
  20. New and improved reporting
  21. Montezuma’s Revenge Solved by Go-Explore, a New Algorithm for Hard-Exploration Problems (Sets Records on Pitfall, Too)
  22. Observability at Scale: Building Uber’s Alerting Ecosystem
  23. Collaboration at Scale: Highlights from Uber Open Summit 2018
  24. The A-Z of incorporating ridesharing in your travel policy
  25. Experience in AI: Uber Hires Jan Pedersen
  26. Uber Joins the Linux Foundation as a Gold Member
  27. NVIDIA: Accelerating Deep Learning with Uber’s Horovod
  28. Announcing the 2019 Uber AI Residency
  29. My Journey from Working as a Fabric Weaver in Ethiopia to Becoming a Software Engineer at Uber in San Francisco
  30. Architecting Uber’s New Driver App in RIBs
  31. Analyzing Experiment Outcomes: Beyond Average Treatment Effects
  32. Uber + Zoom: great employee experiences, good for business too
  33. Engineering Sustainability: An Interview with Uber’s Head of Information Technology, Shobhana Ahluwalia
  34. Scaling Machine Learning at Uber with Michelangelo
  35. Peloton: Uber’s Unified Resource Scheduler for Diverse Cluster Workloads
  36. Preview 7 Open Source Projects from the Uber Open Summit
  37. Transforming Payments & Empowering Developers: Meet the Uber Amsterdam Tech Team
  38. Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development
  39. Applying Customer Feedback: How NLP & Deep Learning Improve Uber’s Maps
  40. Open Source at Uber: A Conversation with Yuri Shkuro, Jaeger Project Lead
  41. Uber’s Big Data Platform: 100+ Petabytes with Minute Latency
  42. Uber Expands Advanced Visualization Ecosystem with Mapbox Integration
  43. 6 quick tips for work trips
  44. Why We Decided to Rewrite Uber’s Driver App
  45. Watch: What’s ahead for Uber for Business
  46. Seven Things to Know about Technical Writing at Uber
  47. Announcing Uber Open Summit 2018: Collaboration at Scale
  48. Improving Driver Communication through One-Click Chat, Uber’s Smart Reply System
  49. From Financial Models to iOS Model View Controllers: Making a Career Move to Programming
  50. Influencer in the hotseat: Simon Muir, Procurement Professional
  51. Talking Safety with Uber Data Scientist Sunny Jeon
  52. Marmaray: An Open Source Generic Data Ingestion and Dispersal Framework and Library for Apache Hadoop
  53. Food Discovery with Uber Eats: Recommending for the Marketplace
  54. Forecasting at Uber: An Introduction
  55. Under the Hood of Uber’s Experimentation Platform
  56. Scaling Uber’s Customer Support Ticket Assistant (COTA) System with Deep Learning
  57. Seeing Double: Meet Uber’s Identical Twin Data Scientists
  58. Maximizing Process Performance with Maze, Uber’s Funnel Visualization Platform
  59. Telkom Kenya + Uber: A better travel experience
  60. Out of the Classroom: A Snapshot of Uber’s Summer 2018 Interns
  61. 5 essential tools for every personal assistant
  62. M3: Uber’s Open Source, Large-scale Metrics Platform for Prometheus
  63. 4 questions to ask your frequent travellers
  64. Databook: Turning Big Data into Knowledge with Metadata at Uber
  65. Introducing Fusion.js: A Plugin-based Universal Web Framework
  66. 5 top tips for driving compliance and cost savings
  67. Herb: Multi-DC Replication Engine for Uber’s Schemaless Datastore
  68. Building Automated Feature Rollouts on Robust Regression Analysis
  69. blowout+go™ and Uber: Bringing a stylist to your home in minutes
  70. Enhancing the Quality of Uber’s Maps with Metrics Computation
  71. An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
  72. Transforming Financial Forecasting with Data Science and Machine Learning at Uber
  73. Get there in a breeze – discover Croatia with Uber!
  74. JVM Profiler: An Open Source Tool for Tracing Distributed JVM Applications at Scale
  75. H3: Uber’s Hexagonal Hierarchical Spatial Index
  76. M4 Forecasting Competition: Introducing a New Hybrid ES-RNN Model
  77. Ten Questions with Angus Croll, Author of If Hemingway Wrote JavaScript
  78. What Every Engineer Should Know About Open Source Software Licenses and IP
  79. New trip allowances to help manage your account
  80. How Trip Inferences and Machine Learning Optimize Delivery Times on Uber Eats
  81. Engineering for Compliance: Meet the Uber Engineering Team in Sofia, Bulgaria
  82. Food Discovery with Uber Eats: Building a Query Understanding Engine
  83. Going Global: Highlights from the Second Annual Uber Technology Day
  84. Uber BOAT pick up locations
  85. Why ‘time saved’ matters in business travel
  86. Building a Multi-Modal Transportation Platform with JUMP Bikes
  87. Open Source at Uber: Meet Shan He, the Architect Behind kepler.gl
  88. From Beautiful Maps to Actionable Insights: Introducing kepler.gl, Uber’s Open Source Geospatial Toolbox
  89. Uber BOAT pick up locations
  90. Growing the Data Visualization Community with deck.gl v5
  91. Engineering a Job-based Forecasting Workflow for Observability Anomaly Detection
  92. Customer-focused Engineering at Uber: A Q&A with Jörg Heilig, VP of Ridesharing and Eats Engineering
  93. Thank You for Your Feedback: Improving the Uber Engineering Workflow with uRate
  94. Revealing Genius: Zach Singleton on Preparing Black Male CS Students for Tech Careers
  95. Introducing Nanoscope: An Extremely Accurate Method Tracing Tool for Android
  96. Measuring the Intrinsic Dimension of Objective Landscapes
  97. Accelerating Deep Neuroevolution: Train Atari in Hours on a Single Personal Computer
  98. Rethinking GPS: Engineering Next-Gen Location at Uber
  99. Mediation Modeling at Uber: Understanding Why Product Changes Work (and Don’t Work)
  100. Scaling for Growth: A Q&A with Uber’s VP of Core Infrastructure, Matthew Mengerink
  101. 13 tactics to help improve your monthly expense reports
  102. Differentiable Plasticity: A New Method for Learning to Learn
  103. Scaling Uber’s Apache Hadoop Distributed File System for Growth
  104. Fighting Resistance, Finding Balance: A Conversation with Sophia Vicent, Uber’s Director of Technical Program Management
  105. Building Check-In Queuing & Appointment Scheduling for In-Person Support at Uber
  106. Open Source at Uber: A Conversation with Nicolas Garcia Belmonte, Head of Visualization
  107. Information about Uber’s sale to Grab
  108. Introducing QALM, Uber’s QoS Load Management Framework
  109. VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution
  110. 5 quick tips for a smoother airport ride
  111. Scaling Infrastructure Management with Grail
  112. From Milking Cows to Writing Code: A Dreamer’s Journey
  113. Celebrating Uber Bangalore’s Women in Tech
  114. Introducing Trip Reviewers for improved oversight
  115. Queryparser, an Open Source Tool for Parsing and Analyzing SQL
  116. Scalable Systems & Scalable Careers: A Chat with Uber’s Sumbry
  117. How employees in Europe travel for work
  118. Code Migration in Production: Rewriting the Sharding Layer of Uber’s Schemaless Datastore
  119. Introducing the Uber AI Residency
  120. Building Reliable Reprocessing and Dead Letter Queues with Apache Kafka
  121. Implementing Model-Agnosticism in Uber’s Real-Time Anomaly Detection Platform
  122. Designing Uber’s Product Manager Bootcamp
  123. Meet Uber’s Software Engineer Apprentices
  124. New survey shows surge in support for on-demand in the workplace
  125. NEAL, Uber’s Open Source Language-Agnostic Linting Platform
  126. Uber for Business teams up with travel management companies
  127. The 4 hallmarks of a ‘traveler first’ business travel program
  128. Omphalos, Uber’s Parallel and Language-Extensible Time Series Backtesting Tool
  129. Playing the Perfect Game: Building Uber Eats on Android
  130. SBNet: Leveraging Activation Block Sparsity for Speeding up Convolutional Neural Networks
  131. Harnessing Code Generation to Increase Reliability & Productivity on iOS at Uber
  132. Can an open booking travel program really work for your company?
  133. Engineering Confidence: A Beginner’s Guide to Overcoming Imposter Syndrome
  134. COTA: Improving Uber Customer Care with NLP & Machine Learning

2017 43

  1. Architects of Infrastructure: Meet Uber Aarhus Engineering
  2. Year in Review: 2017 Highlights from Uber Open Source
  3. Year in Review: 2017 Highlights from the Uber Engineering Blog
  4. Welcoming the Era of Deep Neuroevolution
  5. Unifying Mobile Onboarding Experiences at Uber
  6. Gleaning Insights from Uber’s Partner Activity Matrix with Genomic Biclustering and Machine Learning
  7. Denial By DNS: Uber’s Open Source Tool for Preventing Resource Exhaustion by DNS Outages
  8. Reliability at Scale: Engineering an Uneventful New Year’s Eve
  9. 5 ways Uber makes last minute travel plans less stressful
  10. Architecting Uber Support with Customer Obsession Engineering
  11. Welcoming Peter Dayan to Uber AI Labs
  12. Engineering More Reliable Transportation with Machine Learning and AI at Uber
  13. Engineering Uber’s On-Call Dashboard
  14. Uber AI Labs Open Sources Pyro, a Deep Probabilistic Programming Language
  15. Turbocharging Analytics at Uber with our Data Science Workbench
  16. Scaling Reliable Transportation for India: Meet Uber Bangalore Engineering
  17. Engineering NullAway, Uber’s Open Source Tool for Detecting NullPointerExceptions on Android
  18. Meet Horovod: Uber’s Open Source Distributed Deep Learning Framework for TensorFlow
  19. Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform
  20. Engineering a Million-Mile Journey with Uber ATG
  21. How to Have Your Software Engineering Job and Eat It Too
  22. Engineering Restaurant Manager, our UberEATS Analytics Dashboard
  23. Promotion Terms and Conditions
  24. Important updates to Uber’s Privacy Policy
  25. My Site Reliability Engineering Internship Experience with Uber
  26. How Uber Engineering’s Roche Janken Channels Creativity into Code
  27. Putting you in control
  28. Engineering Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber
  29. Meet Michelangelo: Uber’s Machine Learning Platform
  30. Uber’s Ride with the Sun: Tracking the 2017 Solar Eclipse
  31. Engineering Uber’s Self-Driving Car Visualization Platform for the Web
  32. Deploying More Reliable Apps with Uber Engineering’s XP Background Push
  33. Unpacking the Android Bundle with AutoValue Extensions at Uber Engineering
  34. IFTTT and Uber Open Up a New Category of Automation Magic
  35. Introducing the new Uber for Business
  36. Building More Reliable Apps with Uber Engineering’s Startup Reason Reporter
  37. Uber and Samsung Team Up to Leverage Contextual Awareness on Galaxy S8 and S8+
  38. Engineering Scalable, Isolated Mobile Features with Plugins at Uber
  39. Driver Profiles: How Uber Engineering Celebrates Drivers
  40. The Road to uChat: Building Uber’s Internal Chat Solution
  41. Engineering Uber Predictions in Real Time with ELK
  42. Introducing Chameleon: A Global CMS from Uber Engineering
  43. Engineering Data Analytics with Presto and Apache Parquet at Uber