Job Description

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. Come join FAIR's efforts to build world models, learning 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 and wearable agents. We innovate across related topics including self-supervised learning from video (e.g., joint-embedding predictive architectures/JEPAs), 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'equipe de recherche fondamentale en IA (FAIR), l'une des principales organisations de recherche industrielle en IA au monde. Rejoignez les efforts de FAIR pour construire des modeles du monde, apprendre a comprendre et a faire des predictions sur le monde physique, en particulier a partir de videos, et developper des algorithmes efficaces pour la planification et le controle bases sur les modeles du monde.Notre equipe mene un programme ambitieux de formation et d'utilisation de modeles mondiaux pour les agents incarnes et portables. Nous innovons dans des domaines connexes, notamment l'apprentissage auto-supervise a partir de videos (par exemple, les architectures predictives a integration conjointe/JEPA), les modeles predictifs, l'apprentissage par renforcement base sur un modele et le controle predictif base sur un modele. Nous y parvenons en faisant progresser la recherche sur l'ensemble de la pile, y compris la conservation des donnees, la formation de modeles de pointe a grande echelle et la conception de references robustes. Nous recherchons des chercheurs scientifiques qui partagent notre passion pour la creation de modeles efficaces, evolutifs et robustes du monde qui feront partie du prochain paradigme des modeles d'IA.





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Fundamental AI Research Scientist, Physical World Models, FAIR | Chercheur scientifique en IA fondamentale, Modeles du monde physique, FAIR Responsibilities:

Leading, collaborating, and executing on research that pushes forward the state of the art in artificial intelligence | Diriger, collaborer et executer des recherches faisant progresser l'etat de l'art en matiere d'intelligence artificielle Performing research that enables learning the semantics of data (images, video, text, audio, and other modalities) | Effectuer des recherches permettant d'apprendre la semantique des donnees (images, video, texte, audio et autres modalites) Working towards long-term research goals, while identifying immediate milestones | Travailler vers des objectifs de recherche a long terme, tout en identifiant des jalons immediats Influencing progress of relevant research communities by producing publications | Influencer les progres des communautes de recherche concernees en produisant des publications Collaborating with scientists and engineers in a large cross-functional team | Collaborer avec des scientifiques et des ingenieures au sein d'une grande equipe interfonctionnelle Open source high quality code and produce reproducible research | Mettre a la disposition du public un code de haute qualite et mener des recherches reproductibles






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Minimum Qualifications:

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 | Etre titulaire ou etre en voie d'obtention du baccalaureat en informatique, en genie informatique, ou dans un domaine technique connexe, ou posseder une experience pratique equivalente. La licence doit etre obtenue avant de rejoindre Meta PhD degree in AI, computer science, data science, or related technical fields | Doctorat en IA, en informatique, en science des donnees ou dans des domaines techniques connexes First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, CVPR, ICCV, CoRL, or similar | Publications en tant que premier auteur lors de conferences a comite de lecture, telles que ICML, NeuRIPS, ICLR, CVPR, ICCV, CoRL ou similaires Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas | Experience de recherche en apprentissage automatique, intelligence artificielle, statistiques computationnelles, mathematiques appliquees ou domaines connexes Experience coding software and executing complex experiments | Experience de codage de logiciels et d'execution d'experiences complexes Experience with Python and PyTorch | Experience avec Python et PyTorch






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Preferred Qualifications:

Experience working and communicating cross functionally in a team environment | Experience du travail et de la communication inter-fonctionnelle dans un environnement d'equipe Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), and Computer Vision (CVPR, ICCV, ECCV) | Experience confirmee dans l'obtention des resultats significatifs, tels que demontres par des subventions, bourses, brevets, ainsi que des publications dans des ateliers, revues ou conferences de premier plan dans les domaines de l'apprentissage automatique (NeurIPS, ICML, ICLR), de la robotique (ICRA, IROS, RSS, CoRL) et de la vision par ordinateur (CVPR, ICCV, ECCV) Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward | Experience de resolution de problemes complexes et de comparaison de solutions alternatives, de compromis et de perspectives differentes pour determiner une voie a suivre Experience collaborating in a team environment on research projects | Experience de la collaboration dans un environnement d'equipe sur des projets de recherche Experience building systems based on machine learning and/or deep learning methods | Experience de la construction de systemes bases sur des methodes d'apprentissage automatique ou d'apprentissage profond Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources | Experience de la manipulation et de l'analyse de donnees complexes, a grande echelle et de grande dimensionnalite provenant de sources variees






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About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today--beyond the constraints of screens, the limits of distance, and even the rules of physics.









CA$104,000/year to CA$148,000/year + bonus + equity + benefits



Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.