Staff Machine Learning Engineer at Coinbase
About the role
Ready to do the most impactful work of your career? Athttps://www.coinbase.com/careers. *Staff Machine Learning Engineer, CX Intelligence* CEE Intelligence (CEEI) is the ML and intelligence layer for Coinbase's customer engagement ecosystem, building customer intelligence, evaluation systems, routing and classification models, safety guardrails, and decisioning capabilities that power Help Center, chat, voice, agent tooling, and other customer support runtimes. As a Staff Machine Learning Engin…
Interview process at Coinbase
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 Coinbase interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.