Bose is looking to develop novel AI-powered audio processing algorithms that run in real-time on physical devices for applications such as voice pickup and hearing augmentation.
Requirements
- Practical knowledge of Applied audio ML (TensorFlow/PyTorch, TFLite/ONNX is a plus)
- Practical knowledge of Audio DSP (Python, Matlab and/or C/C++)
- Hands-on experience in at least one of the following research topics: Audio source separation
- Hands-on experience in at least one of the following research topics: Speech enhancement
- Hands-on experience in at least one of the following research topics: Microphone array signal processing
- Hands-on experience in at least one of the following research topics: Tiny ML
- Hands-on experience in at least one of the following research topics: Generative audio modelling
Responsibilities
- Prototyping, implementing and evaluating ML algorithms
- Curating and developing internal resources
- Presenting your findings
- Integrate your 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
- Submit papers to top-tier AI and signal processing conferences
Other
- Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field.
- Strong communication skills. You will be presenting your work to a large interdisciplinary community.
- Must be available January 12- June 26, 2026
- Students to join our Co-Op Program
- Network across the business to understand different perspectives at Bose.
