Audio ML/DSP Research Scientist

Summary: At Reality Labs Research (RL-R), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences. In this position, you will collaborate closely with a cross-functional team of engineers, research scientists, and experience designers to advance the technical readiness of novel audio technologies. You will focus on designing and integrating latest audio algorithms to AR/VR prototypes to create new experiences beyond what traditional consumer audio devices are capable of and prove their experiential value and product viability. A successful candidate will have extensive hands-on experience in the design, implementation and end-to-end verification of audio algorithms.Required Skills: Audio ML/DSP Research Scientist Responsibilities:

Research and develop audio processing algorithms for communications in MATLAB, and Floating Point C/C languages.

Define, develop and debug real-time audio system software for forward looking products and user experiences.

Generate novel solutions to some of the most complex problems in audio.

Convert audio algorithm subsystems to building blocks integrated to real-time hardware platform

Design, develop, optimize, and debug Matlab and C implementation of real-time audio algorithms on proprietary and off-the-shelf audio hardware SoC’s.

Minimum Qualifications: Minimum Qualifications:

PhD degree or equivalent experience 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.

3+ years of experience creating efficient real-time audio algorithms.

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.

Experience with Neural Network frameworks such as Tensor Flow, PyTorch, etc.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Preferred Qualifications: Preferred Qualifications:

Experience with adaptive DSP audio algorithms such as adaptive Feedback cancellation, adaptive beamforming, echo cancellation, etc.

Experience in ML based algorithm for embedded audio applications.

Knowledge of C.

Experience with algorithm optimization for low power systems with limited computational capabilities.

Public Compensation: $143,000/year to $204,000/year + bonus + equity + benefitsIndustry: InternetEqual Opportunity: Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta 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 accommodations-ext@fb.com.