Lyft

Lyft Ads is seeking an Algorithms Scientist to build the next generation of ads relevance, targeting, optimization, and measurement algorithms. This role involves working with large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. The scientist will collaborate with Engineering, Product, Data Science, and Sales to translate business needs into algorithmic solutions that improve ad performance and drive revenue growth. The role requires hands-on modeling experience, ability to write production code, and a focus on personalization, measurement, and real-time optimization.

Lyft Ads is seeking an Algorithms Scientist to build the next generation of ads relevance, targeting, optimization, and measurement algorithms. This role involves working with large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. The scientist will collaborate with Engineering, Product, Data Science, and Sales to translate business needs into algorithmic solutions that improve ad performance and drive revenue growth. The role requires hands-on modeling experience, ability to write production code, and a focus on personalization, measurement, and real-time optimization.

Manager for a team of Data Scientists, Applied Scientists, and ML Engineers building the algorithmic backbone of Lyft Ads, focusing on ad relevance, yield optimization, targeting, and measurement. The role involves defining technical vision, leading execution, and integrating ML systems into production ad serving and measurement platforms, with a strong emphasis on experimentation and causal inference.

Manager for a team of Data Scientists, Applied Scientists, and ML Engineers building the algorithmic backbone of Lyft Ads, focusing on ad relevance, yield optimization, targeting, and measurement. The role involves defining technical vision, leading execution, and integrating ML systems into production ad serving and measurement platforms, with a strong emphasis on experimentation and causal inference.

Lyft is seeking a Data Science Manager to lead a team focused on improving the Rider App experience through algorithm development, machine learning, and experimentation. The role involves shaping vision, driving execution, and partnering with cross-functional teams to enhance rider relationships and expand to new segments. The ideal candidate will have expertise in advanced analytics, ML, causal inference, experimentation, and a proven track record of leading data science teams in fast-paced environments.

Senior Machine Learning Engineer at Lyft focused on Recommendations. This role involves developing and launching ML algorithms for core business services and products, with a focus on personalization and user impact. Requires strong Python/Golang skills and experience with ML methodologies like supervised learning, forecasting, recommendation systems, RL, and multi-armed bandits.

Lyft is seeking a VP of Safety & Customer Care to lead a strategic transformation leveraging AI to reimagine customer care and safety experiences. This role requires a customer-obsessed executive leader with a blend of operational excellence, Trust & Safety depth, and technology transformation leadership. The VP will be responsible for executing a vision that scales self-serve and agent AI while balancing human touch, modernizing platforms, and owning the SCC P&L. They will also serve as Lyft's voice on safety and customer trust with external stakeholders.

This role bridges the gap between Finance business needs and technical delivery by architecting AI-enabled solutions for the Finance function. The architect will translate complex business requirements into scalable systems, drive AI transformation, and ensure responsible adoption of AI technologies within Finance workflows, focusing on operational excellence and strategic impact.

Data Scientist role focused on building and deploying ML models for driver incentives within Lyft's consumer platform. Responsibilities include problem framing, data analysis, model construction, production code writing, and experimental design/analysis.

Data Scientist specializing in Algorithms for Lyft's Fulfillment team, focusing on developing and improving real-time supply and demand matching algorithms, optimization, prediction, and machine learning models for the platform's core services. This role involves writing production modeling code, designing and implementing experiments, and analyzing data to drive product decisions and improve user experiences.