We are seeking a highly motivated and talented Audio Research Scientist Intern to join our team in developing cutting-edge Audio ML models. As an Audio Research Scientist Intern on the Wearables Audio Technologies Team at Meta Reality Labs, you will have the opportunity to work on exciting projects that push the boundaries of what is possible with audio processing and machine learning.

Our internships are sixteen (16) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Audio (PhD) Responsibilities:

• Train or fine-tune audio models in Pytorch
• Process and analyze speech and audio data: including binaural data simulation, data cleaning, feature extraction and visualization
• Collaborate with other researchers to collect data through listening experiments
• Design and conduct experiments to evaluate the performance of these models and interpret results
• Communicate findings through written reports and presentations

Minimum Qualifications:

• Currently has, or in the process of obtaining a PhD in Computer Science, Electrical Engineering, Auditory Neuroscience, Audio Signal processing or a related field
• Experience in building deep learning models
• Experience with LLM models
• 2+ years experience with Python and Py Torch
• Understanding of audio processing concepts
• Proven communication and collaboration skills
• Demonstrated skill in learning and applying new concepts, techniques, and tools to solve complex problems
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:

• Experience with fine tuning LLM models
• Familiarity with evaluation metrics for audio quality
• Effective programming skills in Python
• Experience with version control systems
• Experience with productionizing ML models
• Intent to return to degree-program after the completion of the internship/co-op

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 Whats App 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@meta.com.

$7,313/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.