AI Machine Learning Optimization Engineer

Stellantis

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

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.

Middle East/North Africa, Morocco

5-10 years

English (C1 - Fluent (3.5 - 4.4 Bright))