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AI Research Scientist

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Montreal, Canada Facebook Full time
Meta is seeking a Visiting Professor to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in out-of-distribution generalization of foundation models. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community. Recent examples include the LLaMa family of Large Language Models (LLMs) and tool-augmented language models. We seek experts in the area of out-of-distribution generalization to help understand the generalization capabilities of modern AI systems and build new architectures and frameworks that achieve the next frontier of generalization. We also collaborate with the Meta Generative AI and other organizations to push the insights at scale.-------Meta est à la recherche d'un professeur associé pour rejoindre son organisation de recherche fondamentale en intelligence artificielle (FAIR), dont l'objectif est de réaliser des avancées significatives en matière de généralisation hors distribution des modèles de fondation. Nous publions des articles novateurs et mettons à disposition des cadres/librairies qui sont largement utilisés dans la communauté des logiciels libres. Parmi les exemples récents, citons la famille LLaMa de grands modèles linguistiques (LLM) et les modèles linguistiques augmentés par des outils. Nous recherchons des experts dans le domaine de la généralisation hors distribution pour nous aider à comprendre les capacités de généralisation des systèmes d'IA modernes et à construire de nouvelles architectures et de nouveaux cadres permettant d'atteindre la prochaine frontière de la généralisation. Nous collaborons également avec Meta Generative AI et d'autres organisations pour développer les connaissances à grande échelle.

AI Research Scientist - Core Learning | Chercheur scientifique en IA, apprentissage de base Responsibilities:



  • Conduct and publish world-class research articles on fundamental research on AI | Diriger et publier des articles de recherche de niveau international sur la recherche fondamentale en matière d'IA.
  • Open-sourcing high quality code and reproducible results for the community | Mettre à la disposition de la communauté un code de haute qualité et des résultats reproductibles.
  • Mentoring junior scientists, including our interns, PhDs and postdocs | Encadrer des scientifiques débutants, y compris nos stagiaires, doctorants et post-doctorants.


Minimum Qualifications:



  • PhD in mathematics, statistics, physics, or computer science | Doctorat en mathématiques, statistiques, physique ou informatique.
  • Deep knowledge about the state-of-the-art (theory and practice) in ML and AI | Connaissance approfondie de l'état de l'art (théorie et pratique) en apprentissage automatique et en IA.
  • Proficiency in coding, executing, and evaluating large scale experiments in PyTorch | Maîtrise du codage, de l'exécution et de l'évaluation d'expériences à grande échelle dans PyTorch.
  • Organizational, team, community, and public skills | Compétences en matière d'organisation, d'équipe, de communauté et de relations publiques.
  • Publications in venues such as NeurIPS, ICML, ICLR, and JMLR | Publications dans des sites tels que NeurIPS, ICML, ICLR et JMLR.


Preferred Qualifications:



  • Open-source code repositories | Dépôts de code à source ouverte