Svitla Systems, Inc. is seeking a Physics-Informed Machine Learning Engineer for a full-time role in Argentina.
You will build physics-informed models to predict degradation and health, using time-series data from sensors and telemetry, while combining physics-based losses with data-driven optimization. You will design a fusion layer that blends physics stress features with dynamical signals, and you’ll calibrate stress-proxy parameters and maintain the end-to-end data pipeline in Python.
📌 Physics-Informed ML Engineer: Degradation (Argentina)
🏢 Svitla Systems
📍 Argentina
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