Senior Backend Engineer (ML) at Tennr
About the role
Responsibilities Ship full-stack AI systems end-to-end. Design resilient systems for model deployment, evaluation, and monitoring at scale. Iterate quickly on experiments and data from ideation through implementation. Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models with data pipelines and products. Research tools and models and select the best-fit technology for each workflow. Requirements Proficiency in full-stack development with strong system …
Interview process at Tennr
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 Tennr interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.