Audio Machine Learning Co-Op

The goal of our 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, digital signal processing, software engineering, and psychoacoustics to prototype and implement new algorithms.

Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.

Current research interests of our group include machine learning (ML) methods for single- and multi-channel audio signal processing, source separation, perceptually-grounded speech enhancement, lightweight, low-latency ML models for low-resource devices, and related topics.

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 :

• The majority of your time will be devoted to prototyping, implementing, and evaluating ML algorithms, curating and developing internal resources, and regularly presenting your findings.
• You will integrate your novel solutions into new and existing systems and platforms to deliver new proofs of concept.
• You will be able to contribute to projects, which will be shipped to Bose customers, apply for patents, or submit papers to top-tier AI and signal processing conferences (e.g., NeurIPS, ICASSP, Interspeech, etc.).

Education :

Skills :

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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