Lyft

Senior ML Engineer to build AI Platform components for critical AI applications across Lyft, supporting real-time and offline model execution. Requires expertise in GenAI, platform building, LLM infrastructure, and MLOps.

Senior ML Engineer to focus on building AI Platform components enabling critical AI applications across Lyft. Expertise with GenAI and platform building is a core requirement. Contribute to a platform supporting real-time, online, and offline AI/ML model execution, development, and iteration.

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.

Machine Learning Engineer for Lyft Business, focusing on designing, building, and deploying ML systems across various domains including pricing, fraud detection, and agentic AI. The role involves end-to-end ownership of models, from prototyping to production, and collaboration with cross-functional teams to drive business impact.

Senior Software Engineer to build AI-powered tooling for test case generation, review, and execution, aiming to automate quality assurance and improve developer productivity within Lyft's mobile platforms.

Senior Software Engineer to build and ship backend services and AI-powered products, specifically AI Agents, for customer support automation. The role involves full lifecycle ownership from design to production, focusing on scalable systems and GenAI integration.

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.

Senior Data Scientist role focused on building and deploying production-grade ML and optimization models for Lyft's marketplace. The role involves designing, formulating, and solving complex mathematical optimization problems, owning the full model lifecycle, and integrating algorithms into live systems. It emphasizes first-principles mathematical reasoning and driving technical strategy for foundational marketplace models.

Senior Data Scientist role focused on building and deploying production-grade ML and optimization models for Lyft's marketplace. The role involves designing, formulating, and solving complex mathematical optimization problems, owning the full model lifecycle, and integrating algorithms into live systems. It emphasizes first-principles mathematical reasoning and driving technical strategy for foundational marketplace models.

Product Manager for Lyft's AI Platform and Marketplace Applications, focusing on Agentic AI products. The role involves defining roadmaps, understanding user needs, evangelizing AI offerings, and identifying opportunities for AI to drive efficiency and effectiveness across the company. Requires strong understanding of agentic systems and conceptual knowledge of ML/AI.

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 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.

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.