Machine Learning Research Engineer Intern

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 audio machine learning research intern to join our research lab this summer! 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.

Responsibilities

1. Develop, train, and evaluate deep learning algorithms with a focus on audio problems such as acoustic scene classification and sound event detection.
2. Research, implement and evaluate a variety of published approaches and algorithms for problems in ML and audio signal processing.

Minimum Qualification

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

Preferred Qualification

1. Demonstrated software engineering experience via an internship, work experience, coding competitions.
2. Strong publication record demonstrating innovative research in venues such as DCASE, ISMIR, ICASSP, etc.
3. Strong knowledge 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.

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