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.

This role is responsible for shaping and implementing platform safety policies, with a focus on building an LLM-first Safety Policy and Operations function. It involves owning policy taxonomy, governance, and a multi-step lifecycle for safety submissions, integrating LLM and ML models. The role requires collaboration with cross-functional teams, research on emerging trends, and communication of insights.

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.

Lyft is seeking a Group Product Manager II for their Pricing team. This role will lead a team of product managers responsible for the full pricing lifecycle, including planned pricing, dynamic pricing, rider engagement offers, and the pricing platform infrastructure. The role requires a deep technical understanding of microeconomics, operations research, or machine learning, and experience managing product managers. Key priorities include optimizing pricing portfolios, preparing for autonomous vehicles, advancing personalized offers through applied AI, and increasing pricing precision.

Product Manager role at Lyft focused on the Matching & Fulfillment marketplace, involving optimization of matching algorithms, ETAs, and fulfillment systems. Requires an Operations Research/ML/algorithmic background and experience shipping technical products, using data and experimentation to guide cross-functional 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.