Staff ML Engineer, Time Series & Statistics
Nominal
Nominal is building AI-driven hardware intelligence tools to empower engineers across spacecraft, vehicles, and defense programs. You will lead ML for time-series data, developing anomaly detection, forecasting, and signal-processing methods that integrate into agent tools used by frontline engineers. You will establish the ML roadmap, evaluate when to deploy learned models versus classical methods, and collaborate with cross-functional teams to raise the bar for reliability and performance. #J-18808-Ljbffr Nominal
Vacancy posted 2 days ago
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