Job description
Job Description
Would you enjoy exploring groundbreaking signal processing for powering future Bose products? Our Audio Systems Research group at Bose has an opening for a machine learning engineer, researching audio enhancement algorithms, voice processing technologies, and methods for distinguishing different device and user state behaviors. Work ranges from basic experimental research to building functional prototype systems for demonstrating new features. We will help your development of theoretical and empirical skills in engineering, perceptual testing, and systems thinking.
We are DSP and Machine Learning researchers who team with other domain experts at Bose to invent and craft new technologies for improving our products’ audio performance. Bring your expertise in ML, DSP, acoustics, and audio to help us develop the next generation of out-loud and wearable audio products!
In this role, you will
advance the state-of-the-art in audio performance and user experience by developing innovations from initial theoretical research to a realizable prototype;
collaborate with other research engineers to assess the technical and perceptual merits of the innovation;
develop and tune algorithms for music and voice processing; and
help transfer research results to the product development team.
What we require
- BS in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with an emphasis on Machine Learning
- Experience using machine learning frameworks & libraries like scikit-learn and TensorFlow
- Knowledge of Python or a similar scripting language
- Great communication skills and an ability to work independently
- Passion and knowledge about audio engineering
What we'd like
- Voice processing experience
- Musical background
- Master's degree
- Knowledge of MATLAB
- Experience with version control, cloud services, and data management
- Research experience
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