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 MatLab.

•Strong experience with TensorFlow 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 vary. In 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 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.