Teams at Lyft

Design, develop, deploy, and improve real-time machine learning systems for Lyft’s ride fulfillment platform. Responsibilities include building models, feature pipelines, training workflows, and serving infrastructure; translating research into production; evaluating performance against business KPIs; running experiments; writing production code; and collaborating with product, data science, and engineering teams.

Owner of pricing, yield, and sales compensation for Lyft Ads and Lyft Business. Set CPM floors, rate cards, and margin targets; oversee Audience Extension vendor performance; design and administer commission plans; build commission modeling infrastructure; coordinate adtech systems across Finance, Analytics, Sales, and Accounting.

Designs, builds, and integrates ride-experience platforms and microservices. Develops and improves APIs, performance, monitoring, testing, validation, and documentation. Troubleshoots application and platform issues, contributes to architecture and technology roadmaps, and manages project priorities, deadlines, and deliverables.