Machine Learning Engineer Interview Experience - Greece
Process
The interview process was as follows:
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1-hour online assessment consisting of two medium LeetCode questions. I was able to write code in my IDE and submit it as many times as I could.
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Phone interview with a senior engineer discussing technical knowledge and past projects. The aim of this stage was to decide if there was a match in career future and what the company expected from me.
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1.5-hour video interview with a manager and ML engineers. This was mainly focused on technical questions around ML.
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0.5-hour HR round on behavioral questions.
Questions
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About the online assessment, I can't describe the problems due to terms and conditions. They were typical medium LeetCode problems, involving algorithms and DSA.
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During the phone interview, I was asked how I imagine myself working there and about my expectations. I was also told what it's like working there.
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ML technical questions included transfer learning, computer vision operator filters, metrics, spectrograms, segmentation, Python generators, and OOP.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Samsung Machine Learning Engineer role in Greece.
Success Rate
Samsung'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 Samsung's Machine Learning Engineer interview process in Greece.
Samsung Work Experiences
- 4.0A good place to startMachine Learning Engineer • Current EmployeeKyiv, Kyiv City, UkraineJanuary 6, 2022Pros: A good place to start your career. There is a variety of projects, research topics, and activities to be involved in.Cons: Promotions are one time per year, based on your performance according to others.
- 4.0As a machine learning engineerMachine Learning Engineer • Current EmployeeSeoul, South KoreaFebruary 24, 2021Pros: Samsung has overall good welfare. That's the biggest part why you should continue your career at Samsung.Cons: If you were to develop your career as a machine learning engineer in the future, there is probably a better place than Samsung. You won't have many chances to meet people who truly are professionals in this field. I would say, 'very rare'.
- 4.0Good Vibe, Too Many RulesMachine Learning Engineer • Former EmployeeḨawwārah, Amman Governorate, JordanSeptember 5, 2020Pros: It had a good environment.Cons: It had many strict rules.
Samsung Interview Questions
