Software Engineer - Machine Learning Platform at J.P. Morgan
About the role
Salary: $61,000 - 101,000 per year Requirements: We require formal training or certification in software engineering concepts, along with 3 years of applied experience. We want demonstrated experience running ML training in cloud environments and troubleshooting issues across infrastructure and code. We need strong Python skills and solid engineering discipline, including testing, code reviews, modular design, and dependency management. We look for experience building automation and CI pipeline…
Interview process at J.P. Morgan
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 J.P. Morgan interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.