Research Scientist Intern, Photorealistic Telepresence (PhD)

Summary: Meta is a technology company focused on connecting people and building communities through innovative products and services. They are seeking a Research Scientist Intern to work on projects related to photorealistic telepresence and autonomous social agents, collaborating with researchers and communicating research results. Responsibilities: - Solve 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 Required Qualifications: - Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Computer Graphics, Robotics, Machine Learning, or related field - Experience with solving 'inverse problems' in imaging emphasizing modeling and algorithm development - 2+ years of experience with Machine Learning for solving computer vision and computer graphics problems - Experience with deep learning frameworks such as Pytorch and TensorBoard - Experience with scientific programming languages such as Python - Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications: - Proven 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 similar - Intent to return to a degree-program after the completion of the internship - Experience working and communicating cross functionally in a team environment - Demonstrated 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 models - Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels) - Experience with Machine Learning for audio and visual synthesis Required Skills: PhD in Computer Science, Machine Learning, Computer Vision Important Skills: Deep Learning Frameworks, Python, Computer Graphics, Scientific Programming Nice-to-Have Skills: C++, Cross-functional Communication, Generative Models Benefits: Benefits