jpmorgan

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.

AI Engineer

8 minutes

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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