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 ResponsibilitiesLeading, collaborating, and executing on research that pushes forward the state of the art in artificial intelligenceContributing to experimental design, implementation, evaluation, and reporting resultsWorking with and creating large datasets and evaluation benchmarksCollaborating with scientists and engineers in a large cross-functional teamBuilding optimized software tooling and infrastructure to accelerate research outcomesInfluence progress of relevant research communities by producing publicationsOpen source high quality code and produce reproducible researchMentor other engineers & researchers, and improve the quality of engineering work in the broader teamMinimum QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceMaster's degree in Computer Science, Computer Engineering, a relevant technical field, and 7+ years of equivalent domain-specific industry experience4+ Years research experience in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areasExperience coding software and executing complex experimentsExperience with Python and PyTorchResearch experience in one or more of these areas: computer vision, multimodal perception, robotics, self-supervised representation learning, reinforcement learning and controlPreferred QualificationsAuthor-Contributed Research Publications in AI conferences like ICML, ICLR, NeurIPS, CVPR, ICCV, CoRL, or similarExperience developing efficient, scalable distributed systems and/or training pipelinesExperience with C++, CUDA and model optimizationPhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceDemonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (for example, GitHub).For those who live in or expect to work from California if hired for this position, please click for additional information.About MetaMeta 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.85,10 $US/hour to 251 000 $US/year + bonus + equity + benefitsIndividual 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 at Meta.Equal Employment OpportunityMeta 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. You may view our Equal Employment Opportunity notice .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the .Apply for this jobTake the first step toward a rewarding career at Meta.APPLY NOWFind your roleExplore jobs that match your skills and experience. Search by technology, team or location to find an opening that's right for you.CareersFollow usCareer programsTeamsWorking at MetaMy accountAbout usEqual Employment OpportunityMeta 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. You may view our Equal Employment Opportunity notice .Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. 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