Software Engineer, Observability
As a member of the Observability team, you will maintain and enhance Lyft's logging and metrics infrastructure, ensuring operational health and performance across the platform.
As a member of the Observability team, you will maintain and enhance Lyft's logging and metrics infrastructure, ensuring operational health and performance across the platform.
Join Lyft as a Machine Learning Engineer to develop and maintain systems for estimating ETAs, ensuring low latency and high accuracy for an enhanced user experience.
In this role, you'll collaborate with engineering, product, data science, analytics, operations, and AI/ML teams on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping.
As a Software Engineer for the Async Platform, you will design, develop, and maintain scalable systems while ensuring reliability and efficiency across the platform.
As a Software Engineer focused on Internal Tools, you'll design and build essential tools and AI-powered automation to enhance operational efficiency across various teams at Prelude.