Audio Machine Learning Research Co-op

Reposted 3 Days Ago
Be an Early Applicant
4 Locations
Hybrid
Internship
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
We believe sound is the most powerful force on earth.
The Role
This co-op position involves prototyping and implementing AI audio processing algorithms. Responsibilities include working with digital signal processing, presenting findings, and integrating solutions into existing systems for customer projects.
Summary Generated by Built In

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

THE PROGRAM

We're looking for students to join our Co-Op Program who believe that sound is power. Over the 6-month co-op, you will get the opportunity to apply the skills you learned in the classroom with hands-on work experience. Our Co-Ops will get to network across the business to understand different perspectives at Bose. You'll connect with other Co-Ops and colleagues to grow your network for the future!

Timeframe - Spring Co-op- Must be available January 12- June 26, 2026

 

THE ROLE

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 (ML), digital signal processing (DSP), software engineering and psychoacoustics to prototype and implement new algorithms. 

 

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!

Responsibilities:

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

REQUIREMENTS

Education:

-Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field. 

 

Skills:

-Practical knowledge of:

  • Applied audio ML (TensorFlow/PyTorch, TFLite/ONNX is a plus)
  • Audio DSP (Python, Matlab and/or C/C++).

Hands-on experience in at least one of the following research topics: 

  • Audio source separation
  • Speech enhancement
  • Microphone array signal processing
  • Tiny ML
  • Generative audio modelling 

-Familiarity with methods for spatial sound synthesis and/or room acoustics simulation/analysis is a plus.

-Strong communication skills. You will be presenting your work to a large interdisciplinary community.

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 [email protected]. 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.

Top Skills

C/C++
Matlab
Onnx
Python
PyTorch
TensorFlow
Tflite

What the Team is Saying

Kwasi
Caitlin
Sean
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Framingham, MA
2,900 Employees
Year Founded: 1964

What We Do

At Bose Corporation, we’re powered by our legendary brands — Bose, McIntosh, and Sonus faber — bringing together more than 175 years of combined technical expertise, craftsmanship and artistry. Founded by Dr. Amar Bose, our company is driven by purpose and devoted to advancing what’s possible in audio — creating transformative experiences in the home, on the go, and on the road.

Why Work With Us

At Bose Corp., we’re united by a simple belief: sound is the most powerful force on earth. It moves us, focuses us, connects us. It’s why we exist to invent—advancing science and art—to deliver transformative experiences. Join us to invent what’s next—and unleash the power of sound, together. Let’s Make Waves.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Bose Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
Company Office Image
HQFramingham, MA HQ
Atlanta
Seoul, Korea
Lisbon, Portugal
Stuttgart, Germany
Tokyo, Japan
Detroit, MI
Learn more

Similar Jobs

Bose Logo Bose

Audio Machine Learning Intern

Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
Hybrid
7 Locations
2900 Employees
40-51 Hourly

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account