Research Scientist, World Modelling | Chercheur scientifique, modélisation du monde

Skip to main content Research Scientist, World Modelling | Chercheur scientifique, modélisation du monde Meta Montreal, Quebec, Canada Apply Join or sign in to find your next job Join to apply for the Research Scientist, World Modelling | Chercheur scientifique, modélisation du monde role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Research Scientist, World Modelling | Chercheur scientifique, modélisation du monde Meta Montreal, Quebec, Canada 1 week ago 57 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the Research Scientist, World Modelling | Chercheur scientifique, modélisation du monde role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range CA$104,000.00/yr - CA$148,000.00/yr Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team, one of the top industrial AI research organizations in the world. In this role, you will help build world models that learn to understand and make predictions about the physical world, especially from video, and develop efficient algorithms for world model-based planning and control. Our team is driving an ambitious agenda to train and use world models for embodied agents. We innovate across related topics including self-supervised learning from video, predictive models, model-based reinforcement learning, and model-predictive control. We accomplish this by advancing research across the stack, including data curation, training large-scale state-of-the-art models, and designing robust benchmarks. We are looking for research scientists who share our passion for building efficient, scalable, and robust models of the world that will be part of the next paradigm in AI models.-------Meta recherche un chercheur scientifique pour rejoindre l'équipe Fundamental AI Research (FAIR), l'un des principaux organismes de recherche industrielle en IA au monde. À ce poste, vous contribuerez à la création des modèles du monde qui apprennent à comprendre le monde physique et à formuler des prédictions à son sujet, notamment à partir des vidéos, et vous développerez des algorithmes efficaces destinés à la planification...