Samsung Electro-Mechanics Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 5 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Samsung Electro-Mechanics.
Samsung Electro-Mechanics
ML Engineer
Mid Average Neutral experience No offer 5 rounds
Interview process
Technical screen Technical screen Technical screen Background check Offer
Interview formats
Technical Coding Technical
The hiring process was pretty structured and tough, with several rounds. It kicked off with an online assessment, and then about 25 folks got shortlisted, though how they picked wasn't super clear. Next up was Technical Round 1, a 30-min chat about Python basics, OOP, basic DSA, a string coding question, and a conceptual question on KNN. This cut the list down to 10. Technical Round 2 really dove into the projects on our resumes, asking detailed questions to check our practical know-how. Only 4 people made it to Technical Round 3 (Managerial Round), where they wanted to see hands-on coding, like writing the R² score calculation from scratch for an ML project. Finally, 2 candidates were selected for the HR Round, where they asked about why I wanted to join and my strengths/weaknesses. Even though I did well in all technical rounds, I didn't get the offer after the HR round, and they didn't really say why.
Confirmed questions3 questions
- Can you write the scratch code to calculate the R² score for your ML model and explain your project implementation?
- KNN code
- Basic string ques
Samsung Electro-Mechanics
Machine Learning Engineer
Staff Difficult Positive experience No offer 2 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Coding Technical
A staffing agency called me to set up an interview for a weekend. They were looking for candidates with a strong understanding of both basic and advanced concepts, and they asked for practical examples. It was a great experience overall, and I'd happily apply again. The first round was a written exam with multiple-choice questions on deep learning, ML, and Python. The second round was a face-to-face interview focusing on ML/DL.
Confirmed questions7 questions
- Can you explain PCA?
- What is LDA?
- Could you describe the lifecycle of a data science project?
Samsung Electro-Mechanics
Machine Learning Engineer Intern
Intern Easy Positive experience No offer 1 round
Interview process
Technical screen
Interview formats
Technical
This was an on-campus drive interview. It was one technical round, about 30 minutes. Started with introductions, then we talked a lot about my projects. They asked detailed questions on my project implementation, ML fundamentals, and things on my CV.
Confirmed questions4 questions
- Could you discuss overfitting?
- How would you approach feature encoding?
- What are the methods for feature scaling?
Samsung Electro-Mechanics Machine Learning Engineer Interview Questions
Quoted word for word from Samsung Electro-Mechanics interview reports.
“What's the difference between PCA and LDA, and can you provide their mathematical equations?”
Read reports →“Could you provide the code for KNN?”
Read reports →“What are some deep learning alternatives to supervised models?”
Read reports →“What do you understand by Eigen value and Eigen vector?”
Read reports →“Can you explain what a Bidirectional LSTM is?”
Read report →“What are the methods for feature scaling?”
Read report →“What is LDA?”
Read report →“Tell me about gradient descent, its equation, how it works, and how to deal with multiple minima.”
Read report →“What is involved in data preprocessing?”
Read report →Formats, difficulty and experience
Across all 5 Samsung Electro-Mechanics interview reports.