Senior Machine Learning Engineer, Recommendations at Lyft
About the role
At Lyft, our purpose is to serve and connect. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale dā¦
Interview process at Lyft
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: internal loop, CoderPad
How to prepare
MiPrep helps you rehearse the specific cadence and question types Lyft interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.