AI Machine Learning Optimization Engineer H/F

Stellantis' AI team is expanding and offers exciting job opportunities for exceptional candidates to contribute to AI services and AI for autonomous driving. As a member of the Machine Learning Infrastructure team, you will be contributing to the development activities for new features and services. You will be taking part in optimizing our deep learning models before implementing on the ECU targets, using the available resources as cleverly as possible. This position offers a high level of interaction with other AI development teams, and support entities within the group. The ideal candidate will have a solid experience of running Machine Learning trainings and validation, as well as setting up the tools implied in the associated workflows Profil Basic Qualification • Master of Science in Applied Physics, Math, Computer Science, Electrical/Computer/Automation Engineering, or related Engineering field. • Engineering School • Machine learning, deep neural networks infrastructure knowledge, inference engine knowledge • Proficient in Python, C++ • Good communication skills in English language Preferred Qualification • Sound knowledge of at least one deep learning framework such as Tensorflow, Pytorch • Knowledge or prior experience in deep learning networks optimization (Quantization, pruning, …) • Knowledge of embedded computing, compiling and running code on embedded target systems. At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.