Senior Machine Learning Engineer at kadence
About the role
Machine Learning Engineer - MLOps Hybrid - NYC We are partnering with a fast-growing healthcare AI startup that recently raised $55M in Series B funding and is scaling AI agents already reviewing real medical claims. Their mission? Reduce waste in healthcare spending through smarter, more transparent claims operations, and help make care more affordable. They’re hiring an MLOps Engineer to own the infrastructure, evaluation, and monitoring that keep these systems reliable as their customer base…
Interview process at kadence
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 kadence interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.