Staff Machine Learning Engineer, Core Services Eng (GenAI) at Uber
About the role
About the Role Uber's Customer Obsession team builds the platform and AI that powers world-class support across mobile, web, and voice at global scale. We are now hiring a Staff ML Engineer to architect, productionize, and scale an autonomous support agent that resolves customer issues end-to-end. Experience with agentic architectures is a major plus. You'll push the state of the art in GenAI for customer service-LLM orchestration, evaluation, safety guardrails, multilingual support-while holdi…
Interview process at Uber
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 Uber interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.