Software Engineer · Full Journey · Multiple Types

Amazon — Software Engineer ✅ Passed

Level: Mid-Level

Round: Full Journey · Type: Multiple Types · Difficulty: 5/10 · Duration: 120 min · Interviewer: Unfriendly

Topics: Machine Learning, Coding, Behavioral Questions, Overfitting, Underfitting, L1 Regularization, L2 Regularization, Large Language Models, LoRA, RAG, Agents, Computer Vision

Location: Remote

Interview date: 2025-12-28

Summary

Round 1: Technical Interview

Question: Machine Learning fundamentals, coding questions, and behavioral questions. The ML questions covered overfitting vs. underfitting, L1 vs. L2 regularization, and LLM topics (LoRA, RAG, agent). The questions were broad.

---

Round 2: Technical Interview

Question: Machine Learning fundamentals, coding questions, and behavioral questions. The ML questions focused on my Computer Vision projects and were more in-depth.

Details

Preparation Tips & Key Takeaways

What I Learned

• I needed to be prepared to discuss both broad Machine Learning concepts and the specifics of my projects.
• Knowledge of current trends in LLMs is important for some roles.

Recommended Preparation

Machine Learning

• Review fundamental concepts like overfitting, underfitting, and regularization.
• Stay up-to-date on recent advancements in Large Language Models, including LoRA, RAG, and agents.

Coding

• Practice common coding interview questions.

Behavioral Questions

• Prepare examples from my past experiences to answer behavioral questions.

LeetCode similar: LeetCode 176, LeetCode 735