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 intelligence
Develop architectures and training methods for predictive environments
Explore planning, prediction, control, and decision-making applications




Publish research at peer-reviewed venues
Collaborate with scientists and engineers across teams
Exigences: Bachelor’s degree or equivalent practical experience in a technical field
Current or pursuing PhD in artificial intelligence or related fields
First-authored peer-reviewed conference publications
Research background in machine learning or robotics
Experience with Python, PyTorch, software, and complex experiments
Apply world modelling, predictive learning, Python, and PyTorch research to embodied-agent planning and control at Meta.

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📌 Research Scientist World Models (Quebec City)
🏢 Meta
📍 Quebec City