Research Engineer (robotics) - World Modelling, FAIR | Ingénieur De Recherche (robotique) - Modélisation Du Monde, FAIR

Research Engineer (Robotics) - World Modelling, FAIR

Meta is seeking a Research Engineer to join the Fundamental AI Research (FAIR) team, one of the top industrial AI research organizations in the world. Come join FAIR's efforts to build world models, learning 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 and wearable agents. We across related topics including self-supervised learning from video (e.g., joint-embedding predictive architectures/JEPAs), predictive models, model-based reinforcement learning and model-predictive control. We drive innovations across the stack, data curation, training large-scale state-of-the-art models, and designing robust benchmarks. We are looking for research engineers who share our passion for building efficient, scalable, and robust models of the world that will be part of the next paradigm of AI models.

Responsibilities

• Leading, collaborating, and executing on research that pushes forward the state of the art in artificial intelligence
• Contributing to experimental design, implementation, evaluation, and reporting results
• Working with and creating large datasets and evaluation benchmarks
• Collaborating with scientists and engineers in a large cross-functional team
• Building optimized software tooling and infrastructure to accelerate research outcomes
• Influence progress of relevant research communities by producing publications
• Open source high quality code and produce reproducible research
• Mentor other engineers & researchers, and improve the quality of engineering work in the broader team

Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Master’s degree in Computer Science, Computer Engineering, a relevant technical field, and 7+ years of equivalent domain-specific industry experience
• 4+ years research experience in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas
• Experience coding software and executing complex experiments
• Experience with Python and PyTorch
• Research experience in one or more of these areas: computer vision, multimodal perception, robotics, self-supervised representation learning, reinforcement learning and control

Preferred Qualifications

• PhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Author-contributed research publications in AI conferences like ICML, ICLR, NeurIPS, CVPR, ICCV, CoRL, or similar
• Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (for example, GitHub)
• Experience with C++, CUDA and model optimization
• Experience developing efficient, scalable distributed systems and/or training pipelines

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

CA$159,000/year to CA$213,000/year + bonus + equity + benefits

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.