Senior Product Manager, Applied AI at Uber
About the role
About the Role Artificial Intelligence is at the heart of Uber's products: Machine Learning, Deep Learning, Computer Vision and Generative AI power many user experiences in the Eater, Rider and Earner apps, as well as efficient marketplace and pricing algorithms, powerful safety mechanisms as well as personalization. The Applied AI team at Uber is a multidisciplinary team of ML Engineers, Applied Scientists, Researchers, Backend Engineers, Mobile Engineers and AI Product Managers responsible fo…
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.