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Migrating Lyft’s Android Codebase to Kotlin

Concurrency & ParallelismCI/CDTeam & Process

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Intern Experience at Lyft

Machine Learning & AI

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Solving Dispatch in a Ridesharing Problem Space

BackendPerformance

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How science inspires our ETA models

PerformanceMachine Learning & AI

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Beyond Query Optimization: Aurora Postgres Connection Pooling with SQLAlchemy & RDSProxy

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Real-Time Spatial Temporal Forecasting @ Lyft

BackendPerformanceMachine Learning & AI

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From manual fixes to automatic upgrades — building the Codemod Platform at Lyft

CI/CDDevOpsCode Quality

Lyft7 months ago

FacetController: How we made infrastructure changes at Lyft simple

Containerization & OrchestrationDevOps

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Using Marketplace Marginal Values to Address Interference Bias

PerformanceTesting

Lyft9 months ago

Cartography joins the CNCF

SecurityCloudDevOps

Lyft9 months ago

Integrating Extensions into Large-Scale iOS apps

Debugging & ProfilingPerformance

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Protocol Buffer Design: Principles and Practices for Collaborative Development

Code Quality

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Building Lyft’s Next Emblem — Glow

BackendSecurity

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FAQ: Common Questions from Candidates During Lyft Data Science Interviews

Machine Learning & AITeam & Process

Lyft1 year ago

ETA (Estimated Time of Arrival) Reliability at Lyft

BackendMachine Learning & AI

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Keeping OSM fresh, accurate, and navigation-worthy at Lyft

DatabasesTeam & Process

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Technical Learning at Lyft: Build a Strong Data Science Team

Lyft1 year ago

Crafting Seamless Journeys with Live Activities

BackendObservability

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Lyft’s Reinforcement Learning Platform

BackendMachine Learning & AI

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Postgres Aurora DB major version upgrade with minimal downtime

CloudDatabases

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