About the job
Our org, XR Codec Interactions and Avatar, is looking for exceptional research interns to help us create a revolution in AR and VR: 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 Artificial Intelligence, Computer Vision, or Computer Graphics, we expect you will find the work here highly intriguing. We regularly publish our work at leading conferences and journals.
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.
Qualifications
Minimum
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
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