Alpine

About the Company

THE IRRESISTIBLE ATTRACTION OF LIGHTNESS. Founded in 1955, Alpine has established itself over the years with its French-style sports cars. Benefiting from the heritage and know-how of its historic Manufacture Alpine Dieppe Jean Rédélé and the mastery of Alpine engineering in collaboration with the Alpine Racing teams, Alpine is becoming the leading brand in sports innovation. In the future, the brand's range will consist of a 'dream garage' of 100% electric, sporty, exclusive and real-life models. Competition remains at the heart of the brand ambitious projects. Designed by a driver, Alpine has made its mark in all disciplines of motor sport, whether in Formula 1, rallying or endurance. People are the engine of Alpine. Ambitious, competent and passionate, our employees take on new challenges every day to raise the brand to the top of automotive innovation. Together, we do everything we can to achieve our goals. Our diversity is our strength. Join us and make Alpine history by applying via our website, in the "Careers" section.

Listed Jobs

Company Name

Alpine

Job Title

ALPINE CARS - CS26 - BAC + 5 - Ingénieur.e automatisation de machine learning pour simulation (H/F)

Job Description

Job Title Machine Learning Automation Engineer – Simulation Role Summary Develop AI-driven surrogate models to approximate costly physical vehicle simulations, enabling faster, data‑driven decision making within the reliability and durability function. Expectations - Internship (4‑6 months) under the Reliability/Durability department. - Deliver ready‑to‑use predictive models and comparative reports that inform simulation studies. Key Responsibilities 1. Integrate existing simulation outputs to create training datasets. 2. Provide an interface for users to specify target variables and explanatory features. 3. Design, train, and validate multiple predictive models suited to different data contexts and user requirements. 4. Produce comparative reports detailing accuracy, robustness, and limitations of each model to guide model selection. 5. Implement an auto‑iterative loop that automatically refines model performance and robustness. 6. Visualise results and present metrics and recommendations to support decision making. Required Skills - Proficiency in Python and ML libraries (pandas, NumPy, scikit‑learn). - Experience with deep learning frameworks (PyTorch, TensorFlow) preferred. - Strong data manipulation and model validation expertise. - Analytical rigor, initiative, and collaborative teamwork. - (Optional) Knowledge of vehicle simulation tools such as GT‑Suite or Simulink. Required Education & Certifications - Current enrollment in or recent completion of a Bac +4/5 engineering program specializing in AI or Data Science. - No additional certifications required.

Guyancourt, France

On site

18-11-2025