Yellow.ai Interview Experience for MLE Internship

Background: Bachelor’s degree in Computer Science Engineering from a Tier 2 institute.

Technical Round – 1 (1 Hour) Interviewed by Data Scientist 3

Interviewer: Data Scientist 3

Duration: 1 Hour

Content:

• Machine Learning Situation-Based Problems:
  I was asked to share my screen and explain solutions to machine-learning problems. This likely involved discussing real-world scenarios, model selection, and problem-solving approaches.
• DSA Questions:
  The interview also included two Data Structure and Algorithm (DSA) questions related to Doubly Linked Lists. This tested my ability to apply foundational computer science concepts to problem-solving.

Technical Round – 2 (1 Hour) Interviewed by Engineering Manager

Interviewer: Engineering Manager

Duration: 1 Hour

Content:

• Resume Project Deep Dive:
  The interview involved a thorough examination of the projects listed on my resume. I was asked to provide detailed explanations of the projects, the problems I aimed to solve, the methodologies I employed, and the outcomes.

• LSTM Architecture and Mathematical Equations:
  I was asked to share your screen to explain the architecture of Long Short-Term Memory (LSTM) networks. This would involve discussing the layers, activation functions, and the flow of information within the network. Additionally, I was questioned on the mathematical equations behind LSTM, demonstrating my understanding of the underlying principles.

Result: Selected