
Roku Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 9 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Roku.
AI/ML Engineer
The interview process had two technical rounds. Both rounds focused a lot on my resume. They asked me lots of questions about the projects I listed, the tech I used, and my design choices. They also checked how I solve problems, my coding abilities, and if I understood the main concepts.
- Can you go deep into one of the projects on your resume?
- What was your specific role in that project?
- What technical hurdles did you encounter?
Machine Learning Engineer
It was a 4-hour technical interview with 4 people back-to-back, which was a bit exhausting. The questions were all LeetCode medium difficulty. The scheduling could have been better. HR was very helpful throughout. The only drawback was that the UK team had to align with US working hours.
- Could you implement an LRU cache, which is a dynamic programming problem?
Machine Learning Engineer
It was a pretty standard interview process. I had one phone screen and then four virtual on-site technical interviews. The interviewers were knowledgeable and humble, and even though the questions were difficult, they were helpful and wanted me to succeed. After the interviews, they wanted to move forward with an offer. My recruiter, Michelle, was great to work with. She knew I had other offers and gave me plenty of time to decide without rushing me. She set up Zoom calls with the hiring manager and a senior engineer after the interviews, which was really helpful. Because she knew about my other competitive offers, she made sure to put together a great offer for me, explaining the details since Roku's compensation structure is different. Overall, it was an excellent experience.
- Discuss ML system design.
- Solve a backtracking problem similar to the n-queens problem.
- Complete a LeetCode medium-level coding problem.
Roku Machine Learning Engineer Interview Questions
Quoted word for word from Roku interview reports.
“Solve a backtracking problem similar to the n-queens problem.”
Read reports →“Can you write a function to determine Precision, Accuracy, and Recall for grouped binary outcomes?”
Read reports →“Could you implement an LRU cache, which is a dynamic programming problem?”
Read reports →“Can you tell me if you are familiar with the Roku product and also how the advertisement ecosystem in Roku works?”
Read reports →“Describe how you improved the solution.”
Read report →“What fundamental principles underpin your code?”
Read report →“What technical hurdles did you encounter?”
Read report →“What was your reasoning for selecting specific technologies?”
Read report →“What was your specific role in that project?”
Read report →Formats, difficulty and experience
Across all 9 Roku interview reports.