Fundamental AI Research Scientist, Multimodal Audio (Speech, Sound and Music) - FAIR

Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in AI. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community. The team is working on the industrial leading research on building foundation models for audio understanding and audio generation. We are also closely working with vision research teams on pushing the frontier of multimodality (audio, video, language) research. Our teams research is focusing on audio and multimodality. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, speech and audio generation and audio-visual learning. Researchers will drive impact by: (1) publishing state-of-the-art research papers, (2) open sourcing high quality code and reproducible results for the community, and (3) bringing the latest research to Meta products for connecting billions of users. They will work with an interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

Meta's mission is to build the future of human connection and the technology that makes it possible.