Junior Machine Learning Engineer Interview Questions

8,202 junior machine learning engineer interview questions shared by candidates

An overview of my background and experience. Motivations for the change. Software Engineering and Machine Learning concepts. Live coding challenge applied to a real problem. How to approach complex engineering projects.
avatar

Senior Machine Learning Engineer

Interviewed at Jampp

4.3
Mar 26, 2025

An overview of my background and experience. Motivations for the change. Software Engineering and Machine Learning concepts. Live coding challenge applied to a real problem. How to approach complex engineering projects.

ML design question involving ranking/recommendations Big data question about SQL 3 coding questions: First one is a variation on binary search. Second one is a graph traversal problem (think BFS). Last one involved implementing matrix addition and multiplication for sparse matrices.
avatar

Machine Learning Engineer

Interviewed at Pinterest

3.6
Aug 8, 2022

ML design question involving ranking/recommendations Big data question about SQL 3 coding questions: First one is a variation on binary search. Second one is a graph traversal problem (think BFS). Last one involved implementing matrix addition and multiplication for sparse matrices.

They asked me to implement a sparse matrix from scratch, without relying on any existing matrix or linear algebra libraries. This required designing an efficient internal data structure to store only the non-zero elements, rather than allocating memory for the entire matrix. In addition to the core representation, I needed to implement both addition and multiplication operations, making sure they handled sparsity correctly, maintained good performance, and produced accurate results even when matrices had different sparsity patterns.
avatar

Machine Learning Scientist

Interviewed at Pinterest

3.6
Dec 13, 2025

They asked me to implement a sparse matrix from scratch, without relying on any existing matrix or linear algebra libraries. This required designing an efficient internal data structure to store only the non-zero elements, rather than allocating memory for the entire matrix. In addition to the core representation, I needed to implement both addition and multiplication operations, making sure they handled sparsity correctly, maintained good performance, and produced accurate results even when matrices had different sparsity patterns.

Viewing 6471 - 6480 interview questions

Glassdoor has 8,202 interview questions and reports from Junior machine learning engineer interviews. Prepare for your interview. Get hired. Love your job.