Meta is advancing the frontier of artificial intelligence to power products and experiences used by billions of people worldwide. As a Research Engineer on our AI team, you will work at the intersection of applied AI research and production engineering, implementing and scaling novel machine learning systems that translate cutting‑edge research into real‑world impact. In this role, you will collaborate closely with research scientists to develop, evaluate, and deploy AI models across Meta's family of products, contributing to breakthroughs in areas such as large language models, generative AI, computer vision, and recommendation systems.Meta repousse les frontières de l’intelligence artificielle pour alimenter des produits et des expériences utilisés par des milliards de personnes à l’échelle mondiale.

En tant qu’ingénieur de recherche au sein de notre équipe d’IA, vous travaillerez à l’intersection de la recherche appliquée en IA et de l’ingénierie de production, en mettant en œuvre et en déployant à grande échelle de nouveaux systèmes d’apprentissage automatique qui transforment la recherche de pointe en retombées concrètes. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta | Titulaire (ou en voie d’obtention) d’un baccalauréat en informatique,



en génie informatique ou dans un domaine technique connexe, ou expérience pratique équivalente.

Le diplôme doit être obtenu avant l’entrée en fonction chez MetaExperience implementing machine learning models or AI systems in Python using frameworks such as PyTorch or TensorFlowExperience writing automated tests, debugging model or pipeline issues, and ensuring the reliability of AI systemsExperience with data analysis and experimentation, including designing and interpreting A/B tests or model evaluation experimentsExperience building and maintaining production-quality code, including participation in code reviews and adherence to software engineering best practicesExperience with end-to-end ownership of AI or machine learning features, from technical design through deployment and monitoringExperience with large-scale model training, distributed computing frameworks, or inference optimization techniques such as quantization or distillationGraduate degree in computer science related to machine learningExposure to responsible AI principles, including fairness evaluation, model interpretability, or privacy-preserving machine learning techniquesExperience applying AI or machine learning to a specific product domain such as ranking, recommendation, natural language processing, generative AI, or computer visionFamiliarity with ML infrastructure tooling including experiment tracking, model registries, or feature stores #

📌 Research Engineer, Ai | Ingénieur De Recherche En Ia (Winnipeg)
🏢 Meta
📍 Winnipeg