NewsBlogsTechTech EngineeringCanalsScienceResearchProgrammingAI

Feeds

    100RApple Machine LearningArXiv (cs.CV)BairBBC - Top StoriesBBC TechnologyBen EvansCisco EngineeringDaring FireballDatabricksDiamond GeezerDropbox TechEngineering at MetaGitHubHackadayHacker NewsHugging FaceIan VisitsIEEE SpectrumInk & SwitchInstagram EngineeringKDnuggetsLWN.netLyft EngineeringMacRumorsMattBitsNetflix EngineeringOllamaOMG UbuntuOnTheCutOpenAIPythonQuanta MagazineRachel by the BayRustSalesforce EngineeringShopify EngineeringSimon WillisonSpotify EngineeringThe ConversationThe Fly BlogThe TimesTorrentFreakTowards Data ScienceUber EngineeringWillowWiredZed

Lyft Engineering

  • Metric Semantic Layer: How Lyft Governs and Scales Key Data Definitions
    6/10/2026 at 18:42
  • From Chaos to Clarity: How We Built a Unified, Self-Routing Support Ops Ticketing System at Lyft
    6/9/2026 at 17:30
  • How We Built a Smarter Pickup Experience for Gated Communities
    4/23/2026 at 19:16
  • Predicting Rider Conversion in Sparse Data Environments with Bayesian Trees
    3/30/2026 at 14:43
  • Beyond A/B Testing: Using Surrogacy and Region-Splits to Measure Long-Term Effects in Marketplaces
    3/25/2026 at 13:56
  • Scaling Localization with AI at Lyft
    2/19/2026 at 17:28
  • Trusting the Untestable: Validation and Diagnostics for the Doubly Robust Models
    2/12/2026 at 17:07
  • Lyft’s Feature Store: Architecture, Optimization, and Evolution
    1/6/2026 at 18:10
  • From Python3.8 to Python3.10: Our Journey Through a Memory Leak
    12/15/2025 at 19:31
  • LyftLearn Evolution: Rethinking ML Platform Architecture
    11/18/2025 at 18:16