Lyft AI Engineer Interview Preparation Guide - Junior Level

Lyft's AI Engineer interview process for junior level candidates consists of 7 sequential rounds spanning 4-6 weeks. The process begins with a recruiter screening to assess background and motivation, followed by two technical phone screens covering algorithms and ML fundamentals. Candidates then progress to a full-day virtual onsite consisting of 4 interviews evaluating deep learning expertise, ML system architecture design, practical problem-solving, and behavioral alignment. The entire process assesses technical depth in AI/deep learning, system design thinking, coding proficiency, and cultural fit with Lyft's values of innovation and collaboration.