Software Engineer, ML (Time Series Forecasting)

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Description

About the Role Forecasting sits underneath much of North: projected spend, budgets, and the commitment purchases we make on customers' behalf all depend on knowing where a customer's usage is headed. When a forecast is off, customers feel it, either in missed savings or in commitments that go unused. You'll join the Services team and own the models behind North's internal forecasting service, working with your teammates on the service that delivers forecasts across North's features. You'll shape how the service evolves, from how models are trained and evaluated to how forecast quality is monitored in production. You'll also work closely with data scientists and the teams who rely on forecasts, so results are clear to the people making decisions from them. We're hiring for this role without a fixed level. We'll level you based on experience and on how you work, using our engineering ladder. What You'll Do Build and improve the time series models behind projected spend, budgets, and commitment recommendations, across customers with very different sizes and usage patterns. Partner with your Services teammates to take models into production as a reliable shared service with clear interfaces. Shape the forecasting service's architecture, including how models are trained, versioned, evaluated, and served. Improve how we evaluate, backtest, and monitor forecast accuracy over time. Build proactive detection and alerting for unusual forecasts and model drift, so issu

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