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.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!
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