Senior Machine Learning Engineer at Possible Finance
About the role
Responsibilities Design and roll out a shared feature store for data-science teams. Build drift-monitoring systems to identify model degradation before it affects customers. Consolidate model experimentation and deployment tooling into a clean, reliable pipeline. Own Possible’s ML infrastructure strategy, standards, and processes as the first dedicated infrastructure engineer. Partner cross-functionally with data scientists and engineers to drive adoption of new tooling. Requirements Deep, hand…
Interview process at Possible Finance
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 Possible Finance interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.