Audio Machine Learning Co-op developing real-time AI-powered audio processing algorithms for Bose. Collaborating with experts to prototype and implement novel ML algorithms for various applications.
Responsibilities
Develop novel AI-powered audio processing algorithms for real-time applications
Prototype and implement new algorithms in collaboration with experts in ML, DSP, and psychoacoustics
Integrate solutions into existing systems and platforms
Contribute to projects shipped to customers, apply for patents, and/or submit papers to top-tier conferences
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
Familiarity with methods for spatial sound synthesis and/or room acoustics simulation/analysis is a plus
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