We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search, AR/VR, GenAI and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Audio Applied Scientists to join our teams. You can help build the technologies that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team that's working to help people connect with each other around the globe. Join us! As an Audio Applied Scientist at Meta, you can help build new, innovative technologies and software that radically redefine the way people work, play and connect and especially how they hear the virtual and augmented world or interact with GenAI bots. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We may not have all the answers. But together, we're getting closer.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Solid understanding in fundamentals of Digital Signal Processing (DSP) and Machine Learning (ML) 5+ years software development experience in industry settings 3+ years relevant audio software engineering experience including DSP/ML audio algorithm development in industry settings Demonstrated communication skills and experience working across disciplines to drive optimal solutions and supporting cross functional teams. Experience with C or C++ and with scientific programming languages such as MATLAB, Python or similar. Experience in any of the following areas: Small footprint ML, Differential DSP, Echo/Noise reduction, Spatial Processing, Hearing Aids. MS or PhD in Electrical Engineering, Computer Science or equivalent. Expertise in audio signal processing both classical and machine learning techniques. Proven track record of innovation as demonstrated by products shipped, publications and/or patents. Excellence in technical communication with peers, partners, and non-technical cohorts. Experience developing GenAI systems.