Roblox Software Engineer Interview: Designing a Recommendation System Challenge

roblox | Software Engineer | Interview Experience

Interview Date: Not specified
Result: Not specified
Difficulty: Not specified

Interview Process

The interview process consisted of three main rounds: a presentation round focused on project work, a behavioral interview, and a machine learning design round where the candidate was tasked with designing a recommendation system for a search box. The candidate felt that the HR conversation was off from the start, indicating a mismatch in expectations regarding the role. The role description suggested a need for large-scale deployment capabilities, yet the interviewers seemed to be looking for expertise in model development, which was not aligned with the actual responsibilities of many machine learning infrastructure roles.

Technical Questions

  1. Design a Recommendation System (System Design, Machine Learning, Recommendation System)

Tips & Insights

The candidate noted that there was not much to prepare for the interviews, but they spent significant time preparing a presentation and studying machine learning design concepts. Ultimately, they received feedback that someone else was a better match for the role. Additionally, the candidate mentioned that the team was hiring as a group and there was a one-year freeze period for the role.