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.
Staff ML Engineer: Time Series & Anomaly Forecasting employer: Nominal
At Nominal, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Mission Operations Engineer, you'll not only engage with cutting-edge technology but also enjoy ample opportunities for professional growth and development while working alongside industry leaders in a fast-paced environment. Our commitment to employee well-being is reflected in our supportive team atmosphere and the chance to make a significant impact on high-stakes projects that shape the future of hardware systems.
