DSP​/ML Research Engineer Co-op

At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.
Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. #
** Job Description
**** ABOUT THE CO-OP PROGRAM
** Bose Corporation is seeking students to participate in our Co-op Program who share our belief that sound is power. During the six-month co-op, students will have the chance to apply classroom learning in a hands-on work environment. Co-op participants will network across the business to gain diverse perspectives within Bose Corporation. Additionally, co-ops will connect with other students and colleagues, building valuable professional relationships for the future.

Fall Co-op:
Candidates must be available to work full-time (40 hours per week) in a hybrid, in-office format from July 13 through December 18, 2026. No relocation assistance is available.
** THE ROLE
** We are looking for a Machine Learning/DSP Engineer Co-op to join our research lab this spring! 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 6 months starting July 2026 (full-time 40 hours/week).
** Responsibilities*
* • Develop and evaluate DSP and Machine Learning algorithms with a focus on room acoustic applications.
• Develop acoustic simulations experiments using common simulation packages.
• Research, implement and evaluate a variety of published approaches and algorithms for problems in DSP, Machine Learning, and audio signal processing.
• Develop machine learning models, training data, and evaluation infrastructure.
** 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 Mat Lab.
• Strong experience with Tensor Flow or PyTorch.
• Experience with Pyroomacoustics, COMSOL or similar acoustic modeling packages
• Familiar Machine Learning, including deep learning neural networks, transfer learning, and training data development.
• Familiar with real time processing applications.
• Familiar with room acoustics, geometric, and wave based acoustic modeling.
• 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

At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Framingham, Massachusetts is: $40.00-$51.25 per hour.

The hiring range for other Bose work locations may  addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company—driven by purpose, guided by our values, and united by a belief in the power of sound.

As the world leader in audio experiences, we’re creating what’s next—pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let’s Make Waves.

Bose is an equal opportunity employer. We evaluate qualified applicants without regard to…