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.Research Engineer (Robotics) - World Modelling, FAIR 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

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Master's degree in Computer Science, Computer Engineering, a relevant technical field, and 2+ years of equivalent domain-specific industry experience
• Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas
• 2+ years 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 (e.g. GitHub).
• Experience with C++, CUDA and model optimization
• Experience developing efficient, scalable distributed systems and/or training pipelines

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$56.25/hour to $173,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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