Lyft

Lyft is seeking an Applied Scientist to develop and launch ML and optimization models for dynamic pricing and offer selection, productionalizing pipelines that scale to millions of calls per day. The role involves leveraging expertise in ML and Operations Research to solve real-world marketplace problems, balancing complexity and efficiency to create reliable solutions.

Lyft is seeking an Applied Scientist to develop and launch ML and optimization models for dynamic pricing and offer selection, productionalizing pipelines that scale to millions of calls per day. The role involves leveraging expertise in ML and Operations Research to solve real-world marketplace problems, balancing complexity and efficiency to create reliable solutions.

Data Scientist specializing in Algorithms for Lyft's Fulfillment team, focusing on developing and improving real-time matching algorithms for rideshare supply and demand, and building product offerings. This role involves mathematical modeling, machine learning, optimization, and implementing algorithms in a production environment.

Software Engineer role focused on building AI-powered self-service tooling and "paved paths" to improve developer experience, engineering efficiency, and reduce bugs in the mobile engineering organization. The role involves developing in-house AI tooling for test case generation, smarter test execution, and accessibility monitoring, integrating intelligent systems into developer workflows, and contributing to the next generation of the quality platform.

Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers Lyft's insurance platform. The role involves understanding claim handling workflows, identifying bottlenecks, and multiplying productivity by driving platform innovations and resolving pain points with AI automation solutions.

Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers Lyft's insurance platform. The role involves understanding claim handling workflows, identifying bottlenecks, and multiplying productivity by driving platform innovations and resolving pain points with AI automation solutions. Experience driving AI adoption or automation initiatives is required.

Senior Software Engineer on the Marketplace team at Lyft, focusing on designing and building AI-driven data analytics platforms, data pipelines, and metric governance systems to improve business operations. Requires experience in agentic workflows, model evaluation, causal models, and anomaly detection.

Senior Software Engineer on the Marketplace team at Lyft, focusing on designing and building AI-driven data analytics platforms and data pipelines to improve business operations and strategic decision-making. The role involves leading work streams, driving AI innovation, and collaborating with product, data science, and operations teams.

Data Scientist specializing in Algorithms for Lyft's Fulfillment team, focusing on developing and improving real-time matching algorithms for rideshare supply and demand, and building product offerings to enhance rider and driver experiences. This role involves leveraging data, building mathematical models (optimization, prediction, machine learning), writing production code, and designing/analyzing experiments.

Lyft's Mobile Tooling team is seeking an iOS Tooling Engineer to build foundational systems for mobile engineers, focusing on developer experience and productivity. The role involves creating and maintaining build and release infrastructure, exploring and implementing new tools, and building mobile-specific AI agent workflows to enhance productivity and migration efficiency. The ideal candidate will have experience in iOS development, build systems, and ideally, AI/agentic programming.

Lyft is seeking a Senior iOS Tooling Engineer to build foundational systems for their mobile engineers, focusing on developer experience and productivity. The role involves creating and maintaining mobile build and release infrastructure, exploring new tools, and building mobile-specific AI agent workflows to enhance developer productivity and migration efficiency. The ideal candidate will have experience supporting large iOS builds, building command-line tools, and a strong understanding of native mobile testing practices. Bonus points for experience with Bazel, AI, and agentic programming.