Senior Lead Software Engineer - AI/ML Developer at J.P. Morgan
About the role
Formal software engineering training or certification, with at least 5 years of applied experience Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure Advanced Python skills and proficiency with at least one machine learning framework, such as TensorFlow, PyTorch, or Scikit-learn Experience with data processing tools and frameworks such as Spark, Pandas, or SQL Practical experience with cloud-based ML platforms, such as AWS SageMaker, GCP AI Pla…
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.