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.

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