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Predict future time-series values

Jane StreetMachine Learning Engineer · Technical Screen
HardMachine Learning EngineerTechnical ScreenML System Design

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This interview question evaluates ML product requirements, data/labeling, modeling, serving architecture, evaluation, monitoring, and trade-offs in a realistic interview setting. A strong answer for Predict future time-series values states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

Question

Given a time-series dataset, build an end-to-end machine-learning solution that forecasts future values: choose an appropriate model architecture, implement the training loop (e.g., in PyTorch), and explain your design decisions and evaluation strategy.