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Audio Machine Learning Intern

Remote (United States) Framingham, MA

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. 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 Internship 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 immerse yourself into Bose for 3 months and get the opportunity to grow the skills you learned in the classroom with hands on work experience. By the time you end your time with us, you will have been given the opportunity to truly make a real impact in the future of Bose and your career!

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

Timeframe - June-August 2024

The goal of our team is to develop novel AI-powered audio processing algorithms. The twist is that our algorithms must run in real-time, on physical devices, for applications such as voice pickup, hearing augmentation and ones we haven't even thought of yet. As part of the team, you will work with experts in machine learning, digital signal processing, software engineering and psychoacoustics to prototype and implement new algorithms.

Current research interests of our group include machine learning (ML) methods for single- and multi-channel audio signal processing, source separation, perceptually-grounded speech enhancement, lightweight, low-latency ML models for low-resource devices, and related topics.

Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose!


  • The majority of your time will be devoted to prototyping, implementing and evaluating ML algorithms, curating and developing internal resources, and regularly presenting your findings.
  • You will integrate your novel solutions into new and existing systems and platforms to deliver new proofs of concept.
  • You will be able to contribute to projects, which will be shipped to Bose customers, apply for patents, or submit papers to top-tier AI and signal processing conferences (e.g., NeurIPS, ICASSP, Interspeech, etc.).


  • Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field.
  • At a minimum, the candidate should be familiar with the material covered in introductory courses in digital signal processing, linear algebra, statistics, and data structures.


  • Practical knowledge of applied audio ML and digital signal processing (DSP).
  • Practical experience with at least one of the following research topics: source separation, speech enhancement, microphone array signal processing (e.g., beamforming), generative audio modeling, model compression (e.g., quantization, pruning).
  • Familiarity with methods for spatial audio synthesis and/or room acoustics analysis/simulation is a plus.
  • Experience developing ML algorithms in Python, TensorFlow/PyTorch and/or C/C++.
  • Familiarity with standard version control practices.
  • Familiarity with the following technologies is also preferred: TFLite, ONNX and/or AWS stack. • Strong communication skills. You will present your work internally to a large, interdisciplinary audience on a regular basis.

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 (

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 [email protected] and let us know the nature of your request and your contact information.

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