Samsung Machine Learning Engineer Interview Questions
6+ Samsung Machine Learning Engineer interview questions drawn from real candidate reports. Sources include 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode. Questions span every stage of the Samsung Machine Learning Engineer loop: OA, phone screen, system design, behavioral, and onsite coding.
What to Expect in the Samsung Machine Learning Engineer Interview
The Samsung Machine Learning Engineer interview process typically runs 4 to 6 rounds depending on seniority level. Based on candidate reports in the LeakCode database, the loop usually includes a resume review, an online assessment or coding phone screen, one or more technical rounds, a system design round (for senior and above), and a behavioral or values round.
Difficulty skews toward medium and hard LeetCode-style problems in the coding rounds. System design questions test breadth (component selection, scaling, trade-off reasoning) more than deep implementation. Behavioral questions are tied to the company's stated values and principles.
Samsung Machine Learning Engineer Questions (Sample)
Samsung Ads Machine Learning Fulltime Technical Phone Screen Interview Review
The Chinese interviewer was 15 minutes late. First, we did an algorithm coding exercise: given a 1-dimensional coordinate, find a location and the maximum of the minimum distances to all other locatio
Samsung Interview Experience (SRIB) for Internship | On-Campus 2021
Samsung had come on-campus for a 2021 summer internship in SRIB, Bangalore. The CGPA cut-off was 7.5. There were three rounds in the hiring process.Round 1 (Coding round):...
Samsung R&D Interview Experience for Summer Internship 2021 (SRI, Bengaluru)
Samsung RD visited our college for summer internship 2021. It was a virtual recruitment drive in which students from branches CSE, ISE, ECE, EEE, EIE and TCE having CGPA a...
Samsung | srib | Senior developer/developer | Bengaluru | 15 july2022 [Rejected]
there were two questions in 1.5hrs online coding round off campus , both were from TREE topic : 1. check wether two given trees are identical or not and return True...
Samsung Delhi Interview Experience | Set 38 (On-Campus)
Round 1 : (Coding Round)This was a coding round.There are n balloons and n bullets and each balloon is assigned with a particular number (point). Whenever a particular bal...
Samsung R&D Interview Experience | Set 37 (For developer profile)
Samsung RD Bengaluru, visited our campus for full time recruitment. There were 5 rounds in total.1) Online coding round2) GD3) Technical round 14) Technical round 25) HRRo...
Difficulty Breakdown
5
easy
Based on 6 questions with difficulty labels from candidate reports.
Interview Rounds
Here is how the Samsung Machine Learning Engineer questions in the LeakCode database break down by interview round, based on what candidates reported:
| Round | Questions in Database |
|---|---|
| phone screen | 3 |
| technical | 1 |
| recruiter | 1 |
| oa | 1 |
Most Common Topics
Question Recency
3
2025
1
2022
Question counts by interview year, based on candidate-reported dates.
How to Prepare for the Samsung Machine Learning Engineer Interview
Use the LeakCode question database as your primary research tool. Filter by role (Machine Learning Engineer), then by round type to focus your prep on the specific stages in your upcoming loop. Sort by recency to see what 2026 candidates actually faced.
- Start with questions from the last 12 months. Interview processes change and recent data is the strongest signal.
- Cross-reference questions that appear in multiple sources (1p3a, Blind, Glassdoor). Multi-source confirmation means a question has stronger recurrence probability.
- For system design rounds: focus on the question patterns, not individual questions. The same design principles recur across many prompts.
- For behavioral rounds: map your experiences to the company's stated values before the interview. Most behavioral questions at top companies are derivatives of a small set of core leadership competencies.
FAQ
How many Samsung Machine Learning Engineer questions are in the database?
6+ questions from verified candidate reports. The count grows as new reports are scraped daily from 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode.
Are these questions from real Samsung interviews?
Yes. All questions are sourced from actual candidate interview reports, not generated by AI. Each entry links back to its source URL where available, and questions are tagged with the year and round reported by the candidate.
How current is this data?
LeakCode updates daily. The database is filtered to exclude duplicate and low-quality entries. You can filter by interview year to focus on recent cycles.
Does LeakCode cover Samsung OA questions specifically?
Yes. The database includes online assessment questions tagged with round type. See the Samsung OA page for a dedicated view.
Related: Samsung All Questions · Samsung OA Questions · Browse All Companies · Data Sources