Audio Machine Learning Intern

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. 

Timeframe: June 1 – August 21 2026

THE ROLE

The goal of the Audio Machine Learning Research 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.).

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) and 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.

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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.

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.

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