The XR Audio team at Meta is helping people around the world come together and connect through world-class Augmented and Virtual Reality hardware and software. We are developing the future of AR and VR, bringing products to consumers that transform entertainment and social experiences.These roles are focused on developing the next generation of speech and audio enhancement algorithms for wearables in various acoustic environments. Our team is a multi-disciplinary group with expertise in digital signal processing, machine learning, wireless systems, software architecture and distributed systems, and simulation/modeling, sound synthesis, music, audio and speech compression, and much more.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Audio (PhD) Responsibilities:

• Research, model, design, develop and test novel audio and speech processing algorithms using a combination of machine learning and signal processing to tackle unsolved real-world problems and push the state of the art in audio and advance AR/VR experiences
• Lead and contribute to cutting-edge AI model research that leads to publications on top-tier Audio/ML conferences
• Independently design and implement algorithms, train advanced AI models on large datasets, and evaluate their performance
• Develop novel deep learning techniques, to achieve state-of-the-art accuracy within the constraints of on-device and real-time execution
• Collaborate with other research scientists and software engineers to develop innovative deep learning techniques for audio use-cases
• Communicate the experimental results and the recommendations clearly, both within the group as well as to the cross-functional groups
  
  

Minimum Qualifications:

• Currently is in the process of obtaining a PhD in the field of AI/ML and Audio/Speech Signal Processing
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Research experience in one or more of these areas: machine learning, deep learning, audio/speech processing, ML model compression, or related fields
• Experience building novel computational models in audio or speech application domains using machine learning and/or signal processing
• Experience with Python/shell scripts/Matlab/C/C++ or similar
• Experience working with machine learning libraries such as Pytorch and Tensorflow
  
  

Preferred Qualifications:

• Intent to return to degree-program after the completion of the internship
• Proven track record of publications at ICASSP, Interspeech, WASPAA, IWAENC, IEEE TASLP, Neurips or similar
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
• Experience solving complex problems and comparing alternative solutions, trade offs, and diverse points of view to determine a path forward
• Experience working and communicating cross functionally in a team environment
• Strong background in one or more areas in Digital Signal Processing and Machine Learning such as: 1) Experience with research and development of real-time audio and speech digital signal processing solutions from concept to shipping on resource-limited devices, 2) Experience with developing scalable machine learning models that can evolve with newer device generations with minimal additional data, 3) Experience with techniques for model compression and/or deploying ML models on MIPS/Memory/Power constrained DSP devices, 4) Experience with large scale model training, implementing algorithms, and evaluating performance with objective or subjective audio metrics
• Deep subject matter expertise in one or more areas in speech/audio signal processing such as: 1) Speech Synthesis and/or Audio playback signal processing algorithms (compressors, limiters, EQs, and Automatic Gain Control (AGCs)), 2) Adaptive system identification, noise reduction, sound source localization, beamforming, adaptive filters (echo/feedback cancellation), 3) Spatial audio and room acoustics
  
  

About 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.

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.

$7,650/month to $12,134/month + benefits

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.