Meta

Conduct advanced AI research in computer vision, generative AI, digital humans, and multimodal models to help build photorealistic telepresence and next-generation AR/VR experiences.Meta’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.Our org, XR Codec Interactions and Avatar, is looking for exceptional research interns to help us create a revolution in AR,VR and wearable AI: achieving true photorealistic telepresence, where you can be with anyone, anywhere, at any time. We have made numerous important advances, and it will take a diverse team with a wide spectrum of skills to accomplish this future. If you have expertise in Computer Vision, Generative Model, or Computer Graphics, we expect you will find the work here highly intriguing. We regularly publish our work at leading conferences and journals.Come join us as we make photorealistic telepresence and autonomous social agents in VR happen! Available projects may include, but are not limited to:- Generative AI models for image and video synthesis- Motion and behavior synthesis for digital humans- Modeling and encoding of social signals- Face and body reconstruction and tracking- Large Foundational Models or Multimodal LLMs, such as speech-to-speech LLMs and audio-visual LLMsOur internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Photorealistic Telepresence (PhD) ResponsibilitiesSolve research problems in enabling photorealistic telepresence and autonomous social agents.Collaboration with and support of other researchers across various disciplines.Communication of research agenda, progress, and results.Minimum QualificationsCurrently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Computer Graphics, Robotics, Machine Learning, or related fieldExperience with solving “inverse problems” in imaging emphasizing modeling and algorithm developmentExperience with Machine Learning for solving computer vision and computer graphics problemsExperience with deep learning frameworks such as Pytorch and TensorBoardExperience with scientific programming languages such as PythonMust obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentPreferred QualificationsProven track record of achieving significant results as demonstrated by patents and first-authored publications at leading workshops or conferences such as ICCV, CVPR, NeurIPS, SIGGRAPH, ICASSP, or similarIntent to return to a degree-program after the completion of the internshipExperience working and communicating cross functionally in a team environmentDemonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)Experience with systems building in Python or C++Experience with large-scale generative models such as LLMs and video diffusion modelsExperience with Machine Learning for audio and visual synthesisAbout 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.

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