You know the moment. It’s the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying “hello.” It’s in these moments that sound matters most.
At Bose, we believe sound is the most powerful force on earth. We’ve dedicated ourselves to improving it for more than 60 years. And we’re passionate down to our bones about making whatever you’re listening to a little more magical.
The Engineering team at Bose is a thriving, passionate, deeply skilled team of professionals from a broad range of disciplines and experiences, who share a common goal—to create products that provide transformative sound experiences.
Job Description
THE ROLE
We are looking for a Machine Learning/DSP Engineer Intern to join our research lab summer 2026! In this role you will help build our next generation of wearable and out-loud product experiences enabling people to hear better, relish musical experiences, and achieve more. The duration of this position is 3 months starting June 2026 (full-time 40 hours/week).
Responsibilities include
- Develop and evaluate DSP and Machine Learning algorithms with a focus on room acoustic applications.
- Research, implement and evaluate a variety of published approaches and algorithms for problems in DSP, Machine Learning, and audio signal processing.
- Collect and modify databases using physics-based analysis
- Develop machine learning models, training data, and evaluation infrastructure.
- Implement real time demo-able experience on prototyping platforms
Requirements
Minimum Qualification
- Currently in the process of obtaining, a M.S., or PhD in Electrical Engineering, Acoustic Engineering, Computer Science, or related field.
- Strong experience with programing in Python and MatLab.
- Strong experience with TensorFlow or PyTorch.
- Familiar Machine Learning, including deep learning neural networks, transfer learning, and training data development.
- Familiar with real time processing applications.
- Familiar with room acoustics physics and measurements
- Experience with cross-group and cross-culture collaboration.
- High levels of creativity and quick problem-solving capabilities.
Preferred Qualification
- Demonstrated Machine Learning Engineer experience via an internship, co-op, class, or personal project.
- Knowledge of embedded DSP.
- Knowledge of C/C++, and bash scripting
- Music or Acoustic experience and interests
Bose is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. The EEOC’s “Know Your Rights: Workplace discrimination is illegal” Poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf. Bose is committed to providing reasonable accommodations to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to applicant_disability_accommodationrequest@bose.com. Please include "Application Accommodation Request" in the subject of the email.
Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.
