Research Scientist, World Modelling

Montréal, Québec

On-site

Full-time

No salary posted3 days ago

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Employment type: Full-time · On-site
Posted: November 1, 2026
Province: Quebec (QC)

Hiring confidence: Sparse posting · 22/100

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Job Overview

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Summary: 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 t…

This role is based in Quebec. Meta is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

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About this role in Quebec

Average salary for Research Scientist, World Modelling in Quebec

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Typical qualifications for Canadian employers

PhD in Computer Science, Machine Learning, or related field
Strong background in machine learning and deep learning
Experience with computer vision and video understanding
Published research in top-tier venues
Proficiency in programming languages and ML frameworks

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What you'll do

Build world models that learn to understand and make predictions about the physical world
Develop efficient algorithms for world model-based planning and control
Work on learning from video data
Conduct fundamental AI research
Contribute to training and deployment of world models for embodied agents
Publish research findings
Collaborate with FAIR team members on advancing world modeling research

What you'll need

PhD in Computer Science, Machine Learning, or related field
Strong background in machine learning and deep learning
Experience with computer vision and video understanding
Published research in top-tier venues
Proficiency in programming languages and ML frameworks
Strong mathematical foundation
Experience with embodied AI or robotics preferred