Process
Traditional ML questions; quick ask and quick answer. It was not a good interview experience. The interviewer was late for ten minutes and seemed to not pay attention to the interview. They ended the interview quickly.
Questions
It was a regular Python string manipulation question.
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Interview Statistics
The following metrics were computed from 4 interview experiences for the Mercor Machine Learning Engineer role.
Success Rate
0%
Pass Rate
Mercor's interview process for their Machine Learning Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral50%
Negative50%
Candidates reported having very negative feelings for Mercor's Machine Learning Engineer interview process.
Mercor Work Experiences
4.0
Good job
Machine Learning Engineer • Current Employee
New York, NY
December 18, 2025
Pros: It pays well and is remote.
Cons: Kind of competitive in trying to get the tasks.
5.0
Great company, and you get to work on the latest technology
Machine Learning Engineer • Current Employee
San Francisco, CA
March 14, 2024
Pros: - The co-founders are excellent and very understanding.
- Flexible working hours and good pay.
- Overall, the working environment is pleasant and free of toxicity.
Cons: - Occasionally, the workload can be overwhelming.
5.0
Flexible hours but inconsistent work availability
Machine Learning Engineer • Current Employee
May 13, 2026
Pros: Very flexible hours and rapid iterations.
Cons: Works are not always available.
- 4.0Good jobMachine Learning Engineer • Current EmployeeNew York, NYDecember 18, 2025Pros: It pays well and is remote.Cons: Kind of competitive in trying to get the tasks.
- 5.0Great company, and you get to work on the latest technologyMachine Learning Engineer • Current EmployeeSan Francisco, CAMarch 14, 2024Pros: - The co-founders are excellent and very understanding. - Flexible working hours and good pay. - Overall, the working environment is pleasant and free of toxicity.Cons: - Occasionally, the workload can be overwhelming.
- 5.0Flexible hours but inconsistent work availabilityMachine Learning Engineer • Current EmployeeMay 13, 2026Pros: Very flexible hours and rapid iterations.Cons: Works are not always available.
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