Build harmful-content text classifier

Q: Build harmful-content text classifier

This is a Machine Learning interview question from Meta for Machine Learning Engineer roles. View the full question and solution on PracHub.

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Question

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You are given a text dataset and asked to build a model that predicts whether a piece of content is harmful (binary classification).

Task

Propose an end-to-end approach to train and evaluate a classifier (you may assume you can fine-tune a pretrained Transformer).

What to cover

Data understanding, labeling quality, and preprocessing
Model choice and training procedure
Evaluation metrics and thresholding
Handling class imbalance and ambiguous labels
Deployment considerations: latency, monitoring, safety/abuse, and model updates

Build harmful-content text classifier

Task

What to cover

Solution

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