Lyft AI Engineer Interview Preparation Guide - Mid-Level

Lyft's AI Engineer interview process for mid-level candidates consists of 7 rounds across approximately 4-6 weeks. The process begins with recruiter screening, followed by a technical phone screen, and culminates in 5 onsite interview rounds covering technical fundamentals, machine learning expertise, system design, practical case study applications, and behavioral fit. The interviews emphasize real-world problem-solving, scalable system design relevant to ride-sharing and transportation technology, and the ability to deploy AI systems at scale.