Machine Learning Engineer · Online Assessment · Multiple Types

Pinterest — Machine Learning Engineer ✅ Passed

Level: Intern

Round: Online Assessment · Type: Multiple Types · Difficulty: 6/10 · Duration: 60 min · Interviewer: Very Friendly

Topics: Machine Learning, Evaluation Metrics, Ensemble Methods, Overfitting, Loss Functions, Neural Networks, Sliding Window, Monotonicity, Decision Trees, Naive Bayes

Location: San Francisco Bay Area

Interview date: 2025-10-30

Got offer: True

Summary

I took an online assessment for a Machine Learning Intern role. The assessment consisted of multiple-choice questions, a neural network calculation problem, and two coding problems related to data analysis and machine learning.

Details

The online assessment included the following types of questions:

• Multiple choice questions on topics such as evaluation metrics (TP/FP), ensemble methods, overfitting, and classification loss functions.
• A neural network calculation problem where I needed to manually compute the output using sigmoid functions. Paper, pencil, and a calculator were essential.
• A coding problem that involved determining whether a sliding window of size k is monotonically decreasing.
• An ML coding problem on bootstrap trees, requiring me to implement bootstrap sampling without using NumPy and to obtain the final result using provided decision tree code.
• An ML coding problem on Naive Bayes, where I had to implement the algorithm following the formula.

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