
AI Engineer Interview
The interview revolves around the conceptual design of a machine learning system for generating insights and product recommendations, along with strategies for managing stakeholder understanding of machine learning.
8 minutes
Practice with our AI-powered interview system to improve your skills.
Questions that have appeared at jpmorgan for an Engineering (Case Study) interview.
1. System Design
Question: Can you describe the process you would use to design a large-scale distributed system to handle high transaction volume?
Question: How would you design an efficient system for real-time stock price monitoring?
Question: Suppose you were tasked with improving the performance of a slow, data-intensive application. What steps would you take?
2. Problem Solving
Question: Describe a time when you had to troubleshoot a complex technical issue. What approach did you take and what was the outcome?
Question: How would you handle a situation where a project you were leading was not meeting its deadlines?
Question: Can you provide an example of a time when you used data to make a decision in a project?
3. Project Management
Question: How do you prioritize tasks and projects when scheduling your time?
Question: Can you describe a time when you managed a cross-functional team?
Question: How do you handle scope creep in a project?
4. Risk Management
Question: How do you assess and manage risk in a technical project?
Question: Can you describe a situation where you had to make a decision with incomplete information? What was the outcome?
Question: Can you provide an example of a project where you had to consider security risks and how you addressed them?
About This Interview
Interview Type
PRODUCT SENSE
Difficulty Level
4/5
Interview Tips
• Research the company thoroughly
• Practice common questions
• Prepare your STAR method responses
• Dress appropriately for the role