
Roblox Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 6 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Roblox.
Machine Learning Engineer
So, the interview process is like 5 rounds, where you'll do coding, ML system design, a project deep dive, and BQ. The coding part is 1 hour. Then there's a 1-hour ML system design where you design a recommendation system. For the project deep dive, you can present a paper or a project you've worked on, slides are a good idea.
- What motivated you to choose Roblox?
- Could you describe how you manage interpersonal conflicts?
Machine Learning Engineer
HR first contacted me for an initial conversation and explained the interview steps. After that, I had a general coding interview scheduled and completed on CodeSignal.
- A Leetcode-style coding interview on CodeSignal was conducted.
Machine Learning Engineer
It was a virtual onsite interview with three interviews during the day. The first one was about my ML experience and past projects, especially the architecture part. The second was a coding interview, like what you'd get on Leetcode. The third one was with the hiring manager.
- The coding interview was pretty straightforward, about Leetcode medium difficulty.
Roblox Machine Learning Engineer Interview Questions
Quoted word for word from Roblox interview reports.
“Describe how you would architect a recommender system.”
Read reports →“What motivated you to choose Roblox?”
Read reports →“What questions did you have regarding my research?”
Read reports →“Tell me about the ML modeling interviews.”
Read reports →“Can you share the coding questions you asked?”
Read report →“Could you describe how you manage interpersonal conflicts?”
Read report →Formats, difficulty and experience
Across all 6 Roblox interview reports.