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Research Scientist Intern, Health Tech Hearing Sciences (PhD)
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Meta is looking for interns to advance cutting edge technology at the nexus of audio and health. As a Health Tech Hearing Research 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.
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 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/Tensorflow, 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.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
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.
- Experience working and communicating cross functionally in a team environment
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as IWAENC, ICASSP, NeurIPS, or ICML.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
$7,500/month to $11,333/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.
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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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.
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