The Reality Labs organization at Meta is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through leading innovation. The potential to change the world is immense - and we’re just getting started.Individuals in this role are expected to be recognized experts in Artificial Intelligence and Machine Learning, particularly in areas such as Deep Learning, Computer Vision, Affective Computing, Behaviour Understanding, and Generative AI. As a Research Scientist, you will help us develop models, algorithms, datasets, and evaluation methodologies for the generation and animation of avatars to facilitate new and engaging user experiences, and apply them to build cutting-edge 3D Avatars.Research Scientist, Computer Vision & GenAI ResponsibilitiesHelp to develop the next generation of GenAI models for avatar creation and animation.Harness in-depth understanding of technology and propose new research roadmaps which can lead to the creation of new models that can be applied to multiple applications.Employ knowledge in the following areas: multi-modal data processing, affective computing, generative AI, and neural rendering.Work towards long-term research goals, while identifying intermediate milestones.Disseminate findings of research by publishing papers in high impact conferences and journals.Minimum QualificationsPhD degree in Computer Science, Computer Engineering, Computer Graphics, Applied Sciences, Mathematics, Physics, or related field.Experience in Python and PyTorch.Track record of publishing papers in high-quality journals and conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NIPS.1+ years of work experience in a university or industry, in a role with primary emphasis on AI researchPreferred QualificationsExperience with Generative AI / Large reconstruction modelsExperience with affective computing and behaviour understanding.Experiences in the creation and processing of large visual datasets.Experiences in solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.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. 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. You may view our Equal Employment Opportunity notice here. 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 Accommodations request form.