Audio Machine Learning Co-op

Bose Corporation•Framingham, MA

1d•$40 - $51•Onsite

About The Position

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. Candidates must be available to work full-time (40 hours per week) from January 11- June 25, 2027. No relocation assistance is available. 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!

Requirements

Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field.
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
Strong communication skills. You will be presenting your work to a large interdisciplinary community.

Nice To Haves

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

Responsibilities

Prototyping, implementing and evaluating ML algorithms, curating and developing internal resources, and presenting your findings.
Integrate novel solutions into existing systems and platforms to showcase new (proof of concept) solutions.
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.).