Lyft Applied Scientist (Entry Level) Interview Preparation Guide
Applied Scientist
Lyft
entry
6 rounds
Updated 2/22/2026
Lyft's Applied Scientist interview process for entry-level candidates blends technical ML/statistics assessment, algorithm implementation skills, research problem-solving ability, and behavioral/cultural fit evaluation. The process typically progresses from an initial recruiter screen through 2 technical phone rounds to a comprehensive onsite with multiple interviewer panels. All rounds emphasize metric-driven thinking, ability to bridge research and production systems, and alignment with Lyft's mission to optimize urban mobility through ML/AI.
Interview Rounds
1
Recruiter Screening
25 min3 focus topicsculture fit
2
Technical Phone Screen: ML Fundamentals & Statistics
50 min6 focus topicstechnical
3
Coding Phone Screen: Algorithm Implementation & ML Programming
70 min6 focus topicstechnical
4
Onsite Round 1: ML System Design & Architecture
70 min6 focus topicssystem design
5
Onsite Round 2: Research Problem & Algorithm Design
70 min6 focus topicstechnical
6
Onsite Round 3: Behavioral & Team Fit
50 min6 focus topicsbehavioral