Latest ML Engineering jobs at Lyft

Machine Learning Software Engineer Intern contributing to model development, production ML pipelines, and data-driven experimentation. Requires current enrollment in a Canadian technical degree program and strong Python and machine learning fundamentals.

Design, deploy, and improve real-time machine learning systems for Lyft’s ride fulfillment and marketplace products. The role requires 2+ years of ML experience, production programming skills, and expertise with deep learning and recommendation systems.

Design, deploy, and improve real-time machine learning systems for Lyft’s ride fulfillment marketplace. The role requires 2+ years of ML modeling experience, strong programming skills, and expertise with deep learning and recommendation systems.

Builds and productionizes post-trained open-source language models and AI agents for safety and customer-care workflows. The role requires applied ML/AI experience, Python and PyTorch expertise, agentic development, generative AI evaluation, and real-time deployment experience.

Develop and productionalize ML and optimization models for Lyft's pricing and ETA systems. Requires advanced degree, production ML/algorithms experience, and Python proficiency to solve large-scale marketplace problems.

Build and maintain Lyft's ETA prediction system using ML models for ride matching, pricing, and user experience. Requires 3+ years ML experience, production code for high-scale low-latency systems, and tradeoff decisions on accuracy vs performance.

Build and deploy production machine learning systems across pricing, marketplace optimization, fraud detection, and agentic AI for Lyft Business. The role requires end-to-end ML ownership, experience with generative AI and LLM ecosystems, and the ability to independently scope high-impact projects.

As a Senior ML Software Engineer on the Mapping team, you will develop and launch machine learning models to detect environmental changes and update Lyft's digital map. This role involves end-to-end ML solution development, data analysis, and production-quality coding.

Develops and launches machine learning algorithms powering Lyft's recommendation systems and core services, partnering with cross-functional teams to solve diverse problems in transportation and personalization. Requires 5+ years ML experience, Python/Golang proficiency, and advanced ML methodologies.