Machine Learning Engineer Interview Experience - France
Process
I was contacted by a LinkedIn recruiter via LinkedIn!
After passing the phone screen, I declined the on-site as I could not have the office location I needed.
The phone screen was conducted with a person from the team I was interviewing for, and the conversation was great. After the coding part, the ML questions sounded more like a quiz (with expected answers) than a casual discussion around a topic. This could be improved, I think.
Otherwise, a very good experience. LinkedIn seems to be a great place to work!
Questions
Given a sorted list of numbers and a function f: x -> ax^2 + bx + c, apply f to all elements and return a sorted list of the f(xi)'s.
Explain some ML concepts:
- Overfitting / Underfitting
- Regularization
- Bagging / Boosting
- Performance metrics
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Interview Statistics
The following metrics were computed from 2 interview experiences for the LinkedIn Machine Learning Engineer role in France.
Success Rate
LinkedIn's interview process for their Machine Learning Engineer roles in France is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for LinkedIn's Machine Learning Engineer interview process in France.
LinkedIn Work Experiences
- 5.0Summer Intern 2024 at LinkedInMachine Learning Engineer • Current EmployeeBengaluru, Karnataka, IndiaMay 24, 2024Pros: Well-equipped office complex and environment for growth. Issued a MacBook for company work. Stayed at a decent hotel, and travel was reimbursed. Looking forward to the PPO.Cons: The PPO rate is notoriously low.
- 5.0Great package, great people, and great project!Machine Learning Engineer • Current EmployeeSanta Clara, California, United StatesSeptember 14, 2018Pros: Very good working atmosphere and very attractive food.Cons: I cannot think of any for now.
- 5.0Good work-life balance with some experimental requirementsMachine Learning Engineer • Current EmployeeMountain View, CAAugust 19, 2026Pros: There is a good work-life balance and autonomy to own work.Cons: Not much, but it can at times require a lot of proof to do experiments.
LinkedIn Interview Questions
