Meta Reality Lab’s Codec Avatar Research team is building technology to enable immersive, photorealistic social presence. Codec Avatars are real-time live-drivable representations that match the appearance of their users. As part of the Lab’s Instant Codec Avatar group, you’ll work to scale up Codec Avatar technology by modeling the diversity of human appearance and applying that model to the process of rapidly generating new avatars. This role is focused on our Large Scale Experimentation efforts, which both support our new Research Supercluster compute resource and uses that resource to run large-scale machine learning experiments that advance the state-of-the-art in Codec Avatar technology. In this role, you will work with a team of software engineers, research engineers, and research scientists to plan and deliver software systems needed to support large scale model training over thousands of GPUs. These systems ingest, store, and serve some of the largest ML training datasets in the world, and coordinate complex workflows composed from a mixture of traditional graphics and ML algorithms. You’ll also design and run research experiments using those workflows to advance our understanding of how appearance modeling scales over large populations.