Senior Applied AI and Machine Learning Engineer at Raise
About the role
Job Description About Raise Loyalty \n Raise is building an AI-native loyalty platform that helps brands acquire customers, increase repeat purchases and bring inactive customers back. AI helps teams plan campaigns, recommend offers and measure results, with people setting budgets and approving campaigns. \n We’re building and testing the product within Raise, drawing on our established commerce, payments and gift card business. You’ll join a small, hands-on team with direct access to the CTO a…
Interview process at Raise
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 Raise interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.