Applied Scientist (Staff Level) Interview Preparation Guide for Lyft
Applied Scientist
Lyft
Staff
8 rounds
Updated 2/22/2026
Lyft's Applied Scientist interview process for Staff-level candidates typically consists of a recruiter screen followed by two remote phone technical rounds and five onsite rounds spanning 4-6 weeks. The interview evaluates research capability, machine learning/AI expertise, experimental design, system thinking, leadership, and ability to translate research into production impact. Candidates should expect discussions around novel algorithm development, statistical rigor, scaling ML systems, research communication, and cross-functional collaboration with engineering teams.
Interview Rounds
1
Recruiter Screening
25 min3 focus topicsculture fit
2
Phone Technical Screen 1: ML/AI Fundamentals and Research Depth
50 min5 focus topicstechnical
3
Phone Technical Screen 2: Applied Research and Problem Formulation
50 min5 focus topicstechnical
4
Onsite Round 1: Deep Learning and Advanced ML Technical Interview
75 min5 focus topicstechnical
5
Onsite Round 2: Machine Learning Systems Design
75 min6 focus topicssystem design
6
Onsite Round 3: Research Proposal and Problem Solving
80 min5 focus topicstechnical
7
Onsite Round 4: Behavioral and Leadership Interview
50 min5 focus topicsbehavioral
8
Onsite Round 5: Engineering Collaboration and System Thinking
75 min5 focus topicstechnical