Machine Learning Engineer Interview Experience - Greece
Process
- Initial call with a recruiter.
- An MR was opened for me, and I had to review the code. It was a notebook (GitLab has an open issue with making in-line comments on a notebook).
- 1.5-hour technical interview going through the MR and the comments I left.
This is where my journey stopped, as I did not get any feedback about the next steps or even a rejection email. The recruiter appeared super friendly but kept ghosting me after the first call. The interviewer lacked technical depth in Machine Learning, and they could not understand basic concepts around ML.
Overall, a bad experience, and GitLab does not seem to respect your time.
Questions
What is the difference between One-hot encoding and Label Encoding?
Was this helpful?
Interview Statistics
The following metrics were computed from 1 interview experience for the GitLab Machine Learning Engineer role in Greece.
Success Rate
GitLab's interview process for their Machine Learning Engineer roles in Greece is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very negative feelings for GitLab's Machine Learning Engineer interview process in Greece.
GitLab Work Experiences
- 5.0Best Company I Ever Worked ForSenior Backend Engineer • Current EmployeeNew Brunswick, New Jersey, United StatesNovember 12, 2022Pros: Work-life balance, and they actually mean it.Cons: All remote means it can be a little hard to navigate the path to promotion. Compensation is a little lower than competitors.
- 4.0Good benefits and flexibility, but until whenBackend Engineer • Current EmployeeOttawa, ONJune 2, 2026Pros: There are good benefits, async work, and a flexible schedule.Cons: Leadership seems to be having a hard time getting things stable.
- 4.0Growth Despite IsolationStaff Backend Engineer • Current EmployeeMay 19, 2025Pros: Motivated team. Exciting opportunity. Growth vertically and horizontally.Cons: Zero in-person meet-up opportunities. No global yearly event, as Contribute was cancelled. Async culture being diluted all the time.
