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.

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 Data Engineer role focused on building and maintaining core company data pipelines, scaling data processing, evolving data models, and optimizing ETL processes. The role also involves shipping ML models at scale with a focus on systems and performance engineering.

Software Engineer (Backend) for Lyft's Growth Platforms team, focusing on Incentives & Messaging systems. The role involves designing, developing, and operating large-scale distributed systems, with an opportunity to improve efficiency via machine learning models. Requires 3+ years of backend experience and familiarity with Python and cloud environments. Experience with AI/ML integration is a plus.

Backend and Data Engineer role focused on processing high-frequency ride data for Telematics, serving ML models, and deriving safety insights. The role involves working with large-scale data pipelines, microservices, and AWS/Spark/Airflow stack, with a focus on productionizing ML models and ensuring the maintenance and improvement of Telematics systems.