Job Description

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. We’ve dedicated ourselves to improving it for nearly 60 years. And we’re passionate down to our bones about making whatever you’re listening to a little more magical.

The engineering team at Bose is a thriving, passionate, deeply skilled team of professionals from a broad range of disciplines and experiences, who share a common goal—to create products that provide transformative sound experiences.

Job Description

THE PROGRAM

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 complete a specific project in 10-12 weeks with us, while integrating into your team. 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 a targeted 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 2025

THE ROLE

We are looking for an ambitious ML engineer to join Bose Research this coming spring! At Bose, we use machine learning across a diverse set of problems ranging from speech enhancement (e.g., Bose PinPoint) to audio perception. As a ML Engineer intern at Bose, you will help build our next generation of wearable and speaker products that are empowered by deep learning. The duration of this position is 3 months starting June 2025 (full-time 40 hours/week).

Responsibilities

• Develop, train, and evaluate deep learning algorithms with a focus on audio problems.
• Research, implement and evaluate a variety of published approaches and algorithms for problems in ML and audio signal processing.
• Build phone and desktop software prototypes to enable new ML and audio experiences on our wearables products.
• Suggest, collect, and synthesize requirements to inform machine learning product roadmap.
  
  

Minimum Qualification

• Currently has, or is in the process of obtaining, a M.S. or PhD in Computer Science, Electrical Engineering, Machine Learning, or related field.
• Strong programming background with 2+ years of experience in Python and C/C++.
• Strong experience in implementing deep neural networks with Tensorflow, Keras, PyTorch, etc.
• Experience with cross-group and cross-culture collaboration.
• High levels of creativity and quick problem-solving capabilities
  
  

Preferred Qualification

• Proven software engineer experience via an internship, work experience, coding competitions.
• Strong publication record in relevant venues demonstrating innovative research
• Solid understanding and experience working with audio and digital signal processing
  
  

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

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.

If you believe you need a reasonable accommodation, please send a note to [email protected]

Job Tags

Full time, Work experience placement, Internship,

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