Audio Machine Learning Engineer Co-op
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Job Location:
Framingham, MA - USA
Hourly Salary:
$ 40 - 51
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 -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
At Bose we use machine learning across a diverse set of problems ranging from speech enhancement (e.g. Bose PinPoint) to audio perception. As an ML Engineer Co-op at Bose you will help build our next generation of wearable and speaker products empowered by deep learning.
Responsibilities
- Build desktop and embedded software prototypes to demonstrate new ML-powered audio features on our wearables
- Design train and evaluate deep learning algorithms with a focus on low-latency on-device audio tasks
- Research implement and benchmark state-of-the-art approaches in audio ML speech enhancement keyword spotting and audio signal processing
- Collaborate across hardware firmware and UX teams to define requirements and inform product roadmaps
Minimum Qualifications
- Currently pursuing a M.S. or Ph.D. in Computer Science Electrical Engineering Machine Learning or a related field
- 3 years of Python and C/C experience
- Strong experience implementing deep neural networks with PyTorch TensorFlow or similar frameworks
- Proven cross-group and cross-culture collaboration skills
- Creative problem-solver with demonstrated ability to work independently
Preferred Qualifications
- Prior internship or work experience as a Software/ML engineer
- Publication record in ML or audio signal processing venues
- Solid background in digital signal processing and embedded systems
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 EEOCs Know Your Rights: Workplace discrimination is illegal Poster is available here: 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 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.
Required Experience:
IC
