Machine Learning Engineer applicants have rated the interview process at Rokt with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 38.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 2 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Rokt overall takes an average of 31 days.
Common stages of the interview process at Rokt as a Machine Learning Engineer according to 1 Glassdoor interviews include:
IQ intelligence test: 33%
Personality test: 33%
Skills test: 33%
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Questions about oa and vi can be found in the related websites. ML coding: high-dimensional data with naive interviewers, pre-process, model, evaluations. More exercises are important. No depth there, I believe the staff there still use the oldest techniques, and there is no need to hope them to dive deep into the SOTA techniques and solutions
The interviewer at Rokt was very friendly, making the process relaxed and comfortable. The interview lasted about an hour, focusing on technical questions. Overall, the atmosphere was welcoming and pleasant.
I applied online. I interviewed at Rokt (Sydney) in Jul 2025
Interview
The interview process included a technical round focused on a machine learning problem. The specific task was to design and discuss a recommendation system. Be prepared to talk about different approaches and how you would evaluate the model.
Interview questions [1]
Question 1
The main technical question was a deep dive into the architecture of two-tower models. They specifically asked how I would design and implement one for a large-scale recommendation system, focusing on how to build the user and item towers separately.