Machine Learning Engineer Interview Experience - Singapore, Singapore
Process
The interview process consists of four rounds: HR, an online video-based coding interview, an onsite technical interview, and a manager interview.
The coding interview lasts for 1 hour, and the questions are not overly difficult. The interviewer guided me toward the optimal solution.
The onsite technical interview is divided into two parts: work experiences and a case study.
For work experiences, the interviewer asked in detail about technical points from my past work. The majority of these questions focused on the basic understanding of machine learning models and various metrics like ROC.
The case study involved a business problem that existed at Grab. The key point was to think in a clear and structured way.
Questions
What is the difference between bagging and boosting?
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Grab Machine Learning Engineer role in Singapore, Singapore.
Success Rate
Grab's interview process for their Machine Learning Engineer roles in Singapore, Singapore is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Candidates reported having very negative feelings for Grab's Machine Learning Engineer interview process in Singapore, Singapore.
Grab Work Experiences
- 5.0Great Culture, Fast PaceMachine Learning Engineer • Current EmployeeKuala Lumpur, Federal Territory of Kuala Lumpur, MalaysiaJuly 30, 2025Pros: Flexible working culture, with all expert colleagues from all over the world.Cons: Fast-paced and maybe too fast.
- 5.0Great Learning Experience So FarMachine Learning Engineer • Current EmployeeSingapore, SingaporeJanuary 13, 2022Pros: Good experience. I learned a lot.Cons: Not found yet. I just joined recently.
- 5.0Great Work, Unclear Promotion PathSoftware Engineer • Current EmployeeSingapore, SingaporeNovember 28, 2025Pros: Good and very good.Cons: Not very clear promotion.
Grab Interview Questions
