Research Scientist, develop predictive world models from video using Python and PyTorch within Meta’s Fundamental AI Research team. Build effective algorithms for planning and control.
This Research Scientist role advances artificial intelligence through world modelling and embodied agents. You will research self-supervised video learning, predictive models, model-based reinforcement learning, and model-predictive control. The work spans data curation, large-scale model training, and robust benchmarking.
Responsabilités principales:
Lead research advancing world modelling and artificial intelligenceDevelop architectures and training methods for predictive environmentsExplore planning, prediction, control,



and decision-making applicationsPublish research at peer-reviewed venuesCollaborate with scientists and engineers across teamsExigences:
Bachelor’s degree or equivalent practical experience in a technical fieldCurrent or pursuing PhD in artificial intelligence or related fieldsFirst-authored peer-reviewed conference publicationsResearch background in machine learning or roboticsExperience with Python, PyTorch, software, and complex experimentsApply world modelling, predictive learning, Python, and PyTorch research to embodied-agent planning and control at Meta.

📌 Research Scientist World Models (Canada)
🏢 Meta
📍 Canada