Staff ML Engineer: Time Series & Anomaly Forecasting

Nominal seeks a Staff Machine Learning Engineer focusing on Time Series and Statistical Methods to empower its AI-native hardware platform. You'll develop anomaly detection, forecasting, and robust statistical tools for high-rate telemetry and sensor data, guiding ML direction for hardware applications.

You will collaborate across teams to ship reliable code and help set production ML standards at Nominal, including decisions on learned models versus classical techniques.