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Audio Machine Learning Research Co-op

Job Description

Job Description


At Bose, we believe sound is the most powerful force on earth. And we’ve dedicated ourselves to improving it for nearly 60 years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, “I can make this better,” we’ve been relentlessly pushing forward to the next best thing.  


Innovation is more than what we do. It’s who we are — constantly learning and constantly curious. We never stop imagining what better sound sounds like. We’re music fanatics and audio engineers. We’re explorers and inventors and dreamers. And we’re passionate down to our bones about making whatever you’re listening to a little more magical. 



We're looking for students to join our Co-op Program who are obsessively curious about 'what's next'. You'll get hands-on experience with our products and learn from the best of the best in the business. You will work as part of the team for an established research project, or have a dedicated topic of applied research.  


Opportunities don't stop at your day-to-day work. While you're getting a targeted look at your area of expertise, we'll expose you to other areas of the company. Our interns and co-ops are given the opportunity to connect with senior leadership across the business to understand different perspectives at Bose. You'll network with other co-ops and colleagues to grow your network for the future!  


Timeframe - July-December 2024 



We are looking for an audio machine learning research co-op to join our research lab this summer and fall! In this role you will help build our next generation of wearable and software products that are empowered by deep learning, enabling people to hear better, focus better and achieve more. The duration of this position is 6 months starting July 2024 (full-time 40 hours/week).  



Develop, train, and evaluate deep learning algorithms with a focus on audio problems such as audio understanding, source separation, audio-visual understanding, etc. Research, implement and evaluate a variety of published approaches and algorithms for problems in ML and audio signal processing.  


Minimum Qualification  

  • Recent graduate or currently is in the process of obtaining a M.S. or PhD in computer science, electrical engineering, machine learning, music technology, or related field.  
  • Strong programming background with 2+ years of experience in Python.  
  • Strong experience in implementing deep neural networks with Tensorflow, Keras, PyTorch, etc.  
  • Familiar with latest research in deep learning for audio or computer vision and ability to implement published algorithms  
  • Experience with cross-group and cross-culture collaboration.  
  • High levels of creativity and quick problem-solving capabilities 


Preferred Qualification  

  • Demonstrated software engineer experience via an internship, work experience, coding competitions.  
  • Strong publication record demonstrating innovative research in venues such as DCASE, ISMIR, ICASSP, etc. 
  • Strong knowledge and experience working with audio and digital signal processing, or computer vision. 




Bose is an equal opportunity employer that is committed to inclusion and diversity. 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. For additional information, please review: (1) the EEO is the Law Poster (; and (2) its Supplements ( Please note, the company's pay transparency is available at Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to and let us know the nature of your request and your contact information.