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.

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.

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.

Machine Learning Engineer at Lyft focused on developing and launching recommendation algorithms for consumer products. The role involves data analysis, building ML models, writing production code, and evaluating ML systems against business goals. Experience with Python/Golang, supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits is required.