Design and build AI platform components for real-time, online, and offline ML model development, training, serving, and deployment. Contribute to architecture and roadmap, write and review maintainable code, resolve incidents, incorporate business context and failure modes, and share knowledge through talks and collaboration.

Build and maintain AI platform components to support real-time, online, and offline ML model execution. Design architecture, write tested code, participate in code reviews and incidents, and collaborate across teams to deploy and iterate GenAI/LLM-powered systems.

Design and maintain detections and pipelines for security events, write and review reliable code, lead projects, support internal partners, and improve detection systems across the company.

Lead qualitative and quantitative research focused on Riders and Drivers to inform marketing, product, and communications. Design and run studies end-to-end, analyze multiple datasets, build narratives and presentations, manage vendors and consumer panels, and partner cross-functionally to drive actionable insights and prioritization.

Support Lyft's AV partnerships by partnering with cross-functional teams to perform financial and ROI analysis, own month-end and quarter-end close for AVs, prepare financial business reviews, develop financial data sourcing practices, refine FP&A processes, collaborate with accounting, and lead ad hoc analytics and special projects to inform strategic decisions.

Evaluate financial health, ensure data integrity and system fluency, build and maintain scalable financial models, produce audited performance reports and executive-ready presentations, partner with product/engineering/ops, support budgeting and forecasting, and improve finance processes and SOPs.

The Director of Internal Audit at Lyft will lead the internal audit program, manage risk, and advise on governance, ensuring alignment with organizational objectives and compliance.

As a Group Product Manager, lead the Core Rider team to enhance Lyft's consumer app, managing PMs and cross-functional teams to drive the rider experience from request to payment.

Design, build, deploy, and maintain large-scale backend and distributed systems for Lyft's Incentives & Messaging Growth Platforms. Collaborate with product and ML teams, improve automation and reliability, and deliver well-tested, production-grade services.

Design, prototype, and deploy machine learning models and pipelines to detect environmental changes for Lyft's map. Collaborate with engineers, data scientists, and product teams to analyze data, build POCs, write production-quality code, and evaluate ML systems against business goals.

Build and own end-to-end user-facing and internal features with a frontend focus using React/Next.js/TypeScript; collaborate cross-functionally, design APIs, ensure quality through testing and documentation, and influence architecture and roadmap decisions.

As a Data Engineer, you will develop data infrastructure, build data pipelines, and ensure data quality while supporting data-driven decisions.

The Associate, Customer Experience at Lyft will provide support through phone and email, troubleshoot app issues, and advocate for users while ensuring exceptional service.

The Candidate Experience Manager will lead recruitment operations, focusing on AI integration, team transformation, and enhancing candidate experiences through strategic processes.

The Product Manager for the Pricing Platform at Lyft will develop products to optimize pricing systems, lead cross-functional teams, and handle product roadmaps.

Build and maintain large-scale iOS applications for telematics and road safety. Implement pixel-perfect UIs, animations, and data collection; write tested, maintainable Swift code; participate in architecture, code reviews, releases, and cross-functional collaboration.

As a Senior Android Engineer, you will build and maintain foundational systems for Lyft's mobile apps, ensuring stability and enhancing developer experience, while collaborating with cross-functional teams.

This role involves driving impactful iOS projects, enhancing user experience, collaborating on system design, and maintaining code quality across applications.

Develop and launch machine learning algorithms for Lyft's platform, collaborating with engineering and business teams to apply machine learning solutions. Responsible for building statistical and optimization models and evaluating their impact on business goals.

Manage and mentor an engineering team to develop AI integrations and multimodal user experiences for Lyft. Drive technical strategy and ensure timely delivery of high-quality solutions.