Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
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.
This is just an online assessment.
Design a system to maximize CTR for Ads.
Did you use Spark in your projects?
What weights will figure of MLP have given inputs?
What is an LLM, BFS/DFS questions
Graph Algorithms and LC medium
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.
Medium to high level LeetCode questions but with hints or divided into parts.
Implement K Nearest Neighbors algorithm in a limited time frame
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