Research Scientist, World Modelling

Meta
Menlo Park, CA$154k–$217kPosted Jul 17, 2026
Skip to main content Research Scientist, World Modelling Meta Menlo Park, CA Apply Join or sign in to find your next job Join to apply for the Research Scientist, World Modelling 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 Meta Menlo Park, CA 3 days ago 40 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 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 $154,000.00/yr - $217,000.00/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.Research Scientist, World Modelling Responsibilities:Lead, collaborate, and execute on research that pushes forward the state of the art in world modelling and artificial intelligencePerform research that enables learning the semantics of data across modalities including images, video, text, and audioWork towards long-term research goals while identifying immediate milestonesDevelop and evaluate novel architectures and training methods for learning predictive models of visual, physical, or multimodal environmentsExplore applications of world models to planning, prediction, control, and decision-making for embodied agentsInfluence progress of...

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