Staff Machine Learning Engineer - AI Cloud at Rippling
About the role
At Rippling, we are not just building AI features, we are building an autonomous operating system for work. We are investing heavily in the next generation of enterprise AI: intelligent background automation, systems that monitor and improve themselves, and a custom intelligence layer built on Ripplings unique data and workflows. The opportunity is to push the boundaries of what machine learning can do in the enterprise through purpose-built ML systems that learn from Ripplings proprietary data…
Interview process at Rippling
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: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Rippling interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.