Machine Learning Engineer at CNA Search
About the role
We’re looking for a Senior AI/ML Research Engineer to work on large-scale AI inference, synthetic data generation, and distributed training systems. This is a hands-on research and engineering role for someone who has built infrastructure supporting large-scale AI models and wants to work on difficult problems across inference performance, distributed systems, reinforcement learning, and synthetic data. No third parties What You’ll Do Design and build large-scale synthetic data generation pipel…
Interview process at CNA Search
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 CNA Search interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.