Lead Machine Learning Engineer at J.P. Morgan
About the role
Salary: $61,000 - 101,000 per year Requirements: We require a BS in Computer Science or a related engineering discipline with 6 years of experience, or an MS in Computer Science or a related engineering discipline with 4 years of experience. We need strong, hands-on expertise in Python and cloud computing, along with experience using ML frameworks such as PyTorch and TensorFlow. We are looking for deep knowledge of data science fundamentals, including model training and deployment. We expect ex…
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.