Facebook Applied Scientist, Audio Algorithms in Des Moines, Iowa
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
Facebook Reality Labs brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale that are seemingly impossible but define new categories that advance Facebook's mission of connecting the world. Our Audio Team is seeking to hire an Applied Scientist with experience converting research to products.
Research and develop audio enhancement algorithms for communications, Always On Assistant, and music enhancement in MATLAB and Python
Define, develop and debug real-time audio system software for forward looking products and user experiences
Prototype novel solutions to some of the most complex problems in audio
Partner with research and product development teams to push the state-of-the-art on audio products
PhD in Computer Science, Electrical Engineering or equivalent experience
Understanding of how end-to-end audio systems work including transducers, audio ICs, acoustics, embedded DSPs, etc.
5+ years of experience in R&D applied to real-time audio algorithms
Experience with a full product lifecycle from concept to deployment
Proven record of high-quality patents and publications in the field of audio enhancement, voice processing and machine learning applied to audio and signal processing
5+ years of experience implementing fixed point and floating point audio algorithms into embedded DSPs and ARM cores
Experience in Acoustics and Consumer Audio EE Architecture
Experience with Embedded Low Footprint machine learning developments for audio applications
Experience with porting and optimizing C code to a target platform
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at email@example.com.
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