Yellow.ai Machine Learning Engineer Intern Interview Experience

I recently had my interview experience for the Machine Learning Engineer Intern role at Yellow.ai. My background is from a Tier 2 Institute with a CSE BTech.

The process consisted of two technical rounds.

Technical Round - 1 (1 Hour)

This round was conducted by a Data Scientist 3. It primarily focused on two areas:

• Machine Learning Situation-Based Problems: I was asked to share my screen and discuss solutions to various machine learning problems, which involved explaining real-world scenarios, justifying model selections, and outlining my problem-solving approaches.
• DSA Questions: The interviewer then presented two Data Structure and Algorithm (DSA) questions specifically related to Doubly Linked Lists. This part assessed my foundational computer science knowledge and my ability to apply these concepts.

Technical Round - 2 (1 Hour)

The second technical round was with an Engineering Manager and delved into more specific topics:

• Resume Project Deep Dive: There was a thorough examination of the projects listed on my resume. I had to provide detailed explanations of each project, the problems I aimed to solve, the methodologies I employed, and the outcomes achieved.
• LSTM Architecture and Mathematical Equations: I was asked to share my screen again to explain the architecture of Long Short-Term Memory (LSTM) networks. This included discussing the layers, activation functions, and the information flow within the network. Additionally, I was questioned on the mathematical equations underpinning LSTM to ensure I understood the core principles.

I am pleased to share that I was selected for the role after these rounds.