Applied Machine Learning Engineer Sensorik (m/f)

From the original posting

###### Job Informationen ###### Location: Zurich Workload: Full-time Start: By agreement Your tasks: You build ML models that predict residual sensor error from observable signals such as temperature, thermal gradients, quadrature amplitude, drive signals and sensor diagnostics. You define rigorous validation protocols across unseen thermal profiles and physical sensor units to demonstrate genuine generalisation. You benchmark learned approaches against a tuned classical baseline combining per-unit thermal compensation and adaptive Kalman filtering. You quantify the observability boundary and…