[EAB] Automation & AI Tooling Intern (Python/ML/Simulink)
Core
Develop Python-based automation tools and maintain a Boosting-based ML model for detecting abnormal airbag sensor signals to support calibration workflows.
Role type
Intern, IC automation & ML engineer
Builds
Calibration automation utilities and AI anomaly detection tools for airbag ECUs
Domain
Automotive safety systems / Calibration engineering
Deliverable
production ML models
Required skills
Python, C/C++, Machine Learning fundamentals, Signal processing, Data structures & algorithms
Preferred skills
Boosting models (XGBoost, LightGBM, CatBoost), Time-series analysis, MATLAB/Simulink, GUI development (Tkinter, PyQt), Data automation scripting
Technologies
Python, C/C++, XGBoost, LightGBM, CatBoost, Tkinter, PyQt, PySimpleGUI, Simulink, MATLAB
Responsibilities
Develop and enhance Python tools for calibration workflow automation; Maintain and update the Python AI tool for signal anomaly detection; Improve feature extraction logic for sensor and crash signals; Retrain the Boosting model with new datasets; Process and prepare crash test data from vehicle/lab tests
Seniority
Intern