Stellantis

AI Machine Learning Optimization Engineer (H/F)

Casablanca

CDI / Temps pleinSur siteMaster / Bac+5AnglaisInformatique / IngénierieAutomobile

L’essentiel du poste

Résumé par Postule AI

Stellantis is hiring an AI Machine Learning Optimization Engineer (full-time, on-site, Casablanca, Morocco) for its Machine Learning Infrastructure team within the AI team. The role focuses on optimizing deep learning models before deployment on ECU targets for AI services and autonomous driving, with frequent interaction with other AI development teams. Candidates need an engineering master's-level background, machine learning infrastructure knowledge, proficiency in Python and C++, and good English communication skills.

Vos missions

  • Contribute to development activities for new AI features and services, including AI for autonomous driving
  • Optimize deep learning models before implementation on ECU targets, using available resources efficiently
  • Run machine learning training and validation activities
  • Set up the tools required for associated machine learning workflows
  • Interact closely with other AI development teams and support entities within the group

Profil recherché

  • You hold a master's degree or engineering background in applied physics, math, computer science, or electrical/computer/automation engineering
  • You have hands-on experience running machine learning training and validation and setting up related tools
  • You are proficient in Python and C++ and communicate well in English
  • You have experience with deep neural network optimization such as quantization or pruning, or are interested in embedded systems

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Mission description

Stellantis' AI team is expanding and offers opportunities to contribute to AI services and AI for autonomous driving. As part of the Machine Learning Infrastructure team, you will contribute to the development of new features and services.

You will optimize deep learning models before they are implemented on ECU targets, making the most efficient use of available resources. The role involves close interaction with other AI development teams and support entities within the group.

The ideal candidate has solid experience running machine learning training and validation, and setting up the tools used in the associated workflows.

Profile

Basic qualifications

  • Master of Science in Applied Physics, Math, Computer Science, Electrical/Computer/Automation Engineering, or a related engineering field
  • Engineering school background
  • Knowledge of machine learning and deep neural network infrastructure, and inference engines
  • Proficiency in Python and C++
  • Good communication skills in English

Preferred qualifications

  • Sound knowledge of at least one deep learning framework such as TensorFlow or PyTorch
  • Knowledge or prior experience in deep learning network optimization (quantization, pruning, etc.)
  • Knowledge of embedded computing, compiling, and running code on embedded target systems

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