Research Scientist Intern, Health Tech Hearing Sciences (Phd)

Summary
Meta is looking for interns to advance cutting edge technology at the nexus of audio and health. As a Health Tech HearingResearch Scientist Intern, you will conduct research and deploy those findings to improve the well-being of people worldwide. You will help design and implement new techniques that combine machine learning with classical DSP algorithms to leverage the unique computational resources across our suite of products. This work will involve advancing the state of the art in edge computing, acoustic simulation and training systems, perceptual loss functions, and acoustic machine learning performance.
Required Skills
Research Scientist Intern, Health Tech Hearing Sciences (PhD) Responsibilities:

• Improve our spatial audio datasets both in simulation with ambisonics and in practice with data collected from real-world scenarios.
• Prototype miniature machine learning architectures that can run on cutting edge hardware.
• Use quantitative methods to define, implement, and evaluate key ideas in our team's research agenda.
• Collaborate cross-functionality with firmware engineers and product leads to make sure your work has impact.

Minimum Qualification
Minimum Qualifications:

• Currently has, or is in the process of obtaining, a PhD in one or more of the following fields: machine learning, speech and language processing, signal processing, electrical engineering, computer science, statistics, physics, or related fields.
• Research-oriented implementation skills, including fluency in scientific Python and PyTorch, as evidenced by academic or professional research experience or contributions to open source projects.
• Experience in machine learning, signal processing, spatial audio, and/or acoustics.
• Interpersonal experience: cross-group and cross-culture collaboration.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualification
Preferred Qualifications:

• Strong understanding of classical signal processing techniques.
• Fluency in C/C++.
• Passion for, or prior experience, in edge compute and audio processing.
• Experience training and evaluating machine learning models on distributed networks, e.g., Google Compute Engine or AWS Sagemaker.
• Intent to return to degree program after completion of the internship.

EOE
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.