Sony Research - Internship on Audio Processing and Machine Learning
Sony
- Location
- New York, NY
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- Salary
- $50/hr
- Posted
- Sep 21, 2026
Skills
About this role
Sony Corporate Technology Center America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony’s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony’s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/ Position Summary The Music Technology team at Sony Research is looking for Research Interns who are passionate about machine learning for audio signal processing. Our mission is to research and develop novel technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will also have the potential to be applied to music and film production workflows in entertainment studios around the world. The working language is English, and our team is composed of members from a wide variety of countries.
Responsibilities
As a Research Intern, you will investigate and apply novel algorithms that combine audio signal processing and machine learning techniques in areas such as music generation, music editing, music attribution analysis, source separation, audio restoration, audio effects manipulation, representation learning for music and audio effects processing, and AI-assisted post-production for music, film, or game audio. You are expected to implement and optimize these algorithms by applying your research, coding, and problem-solving skills. You will be supported in your efforts by having access to state-of-the-art resources at Sony and a unique and extensive catalog of music data. Based in Tokyo, you will also have the opportunity to collaborate with other Sony research teams and Sony Business Groups such as Sony Music, Sony Pictures, and Sony Interactive Entertainment.
Required Qualifications
Enrolled in a PhD or MSc program in CS, EE, applied mathematics, or a related field. Record of relevant publications, internship experiences, or relevant projects. Expertise in audio signal analysis, processing, and feature extraction. Experience cleaning, manipulating, and analyzing audio data. Proven knowledge of machine learning, including architecture design and training/testing methodologies. Proven coding expertise with Python and experience with relevant machine learning tools (e.g. PyTorch, Slurm, Streamlit, etc.).
Preferred qualifications
Experience as an intern at a research laboratory Record of relevant academic publications in topics such as music, audio, or speech Evidence of projects (academic/industrial/personal) related to music, audio, or speech Interest in music/audio. The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime. All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters