Reddit Senior MLE ML Coding Round Experience
Summary
I completed a 75-minute ML coding round for a Senior MLE role at Reddit, which involved implementing a binary classification model and discussing its productionization.
Full Experience
I recently interviewed for the Senior MLE position at Reddit. The interview round, which lasted 75 minutes, focused on ML coding and system design. It began with a brief 5-minute introduction to the problem. The core of the interview was a 50-minute ML coding task where I had to implement a binary classification solution for a small dataset (5,000 rows, 5 columns). I coded this in a Jupyter Notebook on Codesignal while sharing my screen, with a timer running. Following the coding, I spent 10 minutes addressing ML design questions, specifically discussing how I would productionize the system I had just built. The interview concluded with a 10-minute slot for me to ask questions to the interviewer.
Interview Questions (2)
Given a small dataset with 5,000 rows and 5 columns, implement a binary classification model. The task required coding in a Jupyter Notebook on Codesignal while sharing the screen.
Design how you would implement and productionize the binary classification system that was previously coded, considering aspects like scalability, monitoring, and deployment.