About the role#
The Audio Machine Learning Research team develops AI-powered audio processing algorithms. These algorithms must run in real-time on physical devices for applications like voice pickup and hearing augmentation. You will work with experts in machine learning, digital signal processing, software engineering, and psychoacoustics to prototype and implement new algorithms.
What you'll do#
- Prototype, implement, and evaluate machine learning algorithms.
- Curate and develop internal resources.
- Present findings to an interdisciplinary community.
- Integrate solutions into existing systems to showcase proof of concept designs.
- Contribute to projects that reach Bose customers.
- Apply for patents or submit papers to AI and signal processing conferences.
What you'll need#
- Graduate-level degree in Machine Learning, Computer Science, Music Technology, or a related field.
- Practical knowledge of applied audio machine learning using TensorFlow or PyTorch.
- Experience with Audio DSP using Python, Matlab, or C/C++.
- Hands-on experience in at least one of these areas: audio source separation, speech enhancement, microphone array signal processing, Tiny ML, or generative audio modelling.
- Strong communication skills.
- Familiarity with spatial sound synthesis or room acoustics simulation is a plus.
- Knowledge of TFLite or ONNX is a plus.
Location & details#
- Location: Framingham, Massachusetts.
- Term: Winter and Summer 2027 (January 11, 2027 to June 25, 2027).
- Commitment: Full-time (40 hours per week).
- Modality: On-site.
- Compensation: $40.00 to $51.25 per hour.
About Bose Corporation
Bose Corporation manufactures audio equipment for home, automotive, and aviation use. Dr. Amar G. Bose founded the company in 1964. It operates as a privately held business based in Framingham, Massachusetts. The company employs between 5,001 and 10,000 people and focuses on long-term research for audio technology.
How to get in at Bose Corporation
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