Staff ML Engineer: Time Series & Anomaly Detection

Nominal is seeking a Staff Machine Learning Engineer, Time Series & Statistical Methods, to empower our agents with real numerical tools for hardware data. You’ll guide ML strategy for high-rate telemetry and testing campaigns, bridging classical methods and deep learning.

Join a collaborative, high-agency team building AI-native applications and agents. You’ll mentor engineers, ship reliable code, and help set the roadmap for ML at Nominal, from signals to forecasts across a diverse hardware

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