The audio team within RL Research is looking for a Research Scientist with a specialty in audio processing to join our growing team. You will be doing applied research and applied engineering in technologies that improve listener’s hearing abilities under challenging listening conditions alongside a team of dedicated research scientists, developers, and engineers. This role requires skills in signal processing for hearing enhancement and a passion for improving users’ ability to experience the world around them.
In this position, you will collaborate closely with a cross-functional team of engineers, research scientists, and designers to develop novel hearing enhancement technologies. You will focus on designing and integrating state-of-the-art hearing enhancement algorithms to AR/VR products to create new experiences beyond what traditional consumer devices are capable of. Hearing Research Scientist Responsibilities: Research and design DSP and ML solutions for hearing features such as Conversation Focus and Hearing Correction on smart glasses.
The work may include using both signal processing & ML techniques to solve problems in hearing enhancement (dynamic range compression, feedback management, adaptive filtering, noise suppression, dereverberation etc) and speech enhancement (adaptive beamforming, ML noise suppression, voice detection)The key focus in this role is to bring previous experience of developing such solutions for hearing aids or other hearables and apply such experience to the smart glasses form factorDesign and implement hearing enhancement algorithms for wearable audio devicesDevelop solutions that solve complex problems at the intersection between beamforming, machine learning, acoustics and signal processing for applications in AR/VRDevelop algorithms that meet system-level acoustic, compute, and memory constraints for wearable audio devicesCollaborate with teams in the larger Reality Labs audio team to deploy new technologies in AR/VR productsMinimum Qualifications:
PhD degree or equivalent in Applied Mathematics, Audio Engineering and Signal Processing, Acoustics, Electrical Engineering, Computer Science, or a related field3+ years experience developing, implementing and evaluating algorithm and signal processing techniques for audio processing3+ years experience in programming in C++, MATLAB, or PythonExperience with cross-group collaborationPreferred Qualifications:
Expertise in hearing enhancement signal processing and auditory perception2+ years of experience in speech, hearing and audio perception research & technology development3+ years experience developing, implementing and evaluating algorithm and signal processing techniques for speech enhancement solutionsExperience with application of machine learning techniques to speech enhancement algorithmsExperience and proven track record of developing and productizing speech enhancement solutionsAbout Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.
Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Individual compensation is determined by skills, qualifications, experience, and location.
Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Customize your resume to highlight skills and experiences relevant to this specific position.
Learn about the company's mission, values, products, and recent news before your interview.
Ensure your LinkedIn profile is complete, professional, and matches your resume information.
Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.