At Bose, we believe sound is the most powerful force on earth and we are looking to improve it by creating products that provide transformative sound experiences through the development of next generation wearable and out-loud product experiences.
Requirements
- Strong experience with programing in Python and MatLab
- Strong experience with TensorFlow or PyTorch
- Familiar Machine Learning, including deep learning neural networks, transfer learning, and training data development.
- Familiar with real time processing applications.
- Familiar with room acoustics physics and measurements
- Knowledge of embedded DSP
- Knowledge of C/C++, and bash scripting
Responsibilities
- Develop and evaluate DSP and Machine Learning algorithms with a focus on room acoustic applications.
- Research, implement and evaluate a variety of published approaches and algorithms for problems in DSP, Machine Learning, and audio signal processing.
- Collect and modify databases using physics - based analysis
- Develop machine learning models, training data, and evaluation infrastructure.
- Implement real time demo-able experience on prototyping platforms
Other
- Currently in the process of obtaining, a M.S., or PhD in Electrical Engineering, Acoustic Engineering, Computer Science, or related field.
- Experience with cross-group and cross-culture collaboration.
- High levels of creativity and quick problem-solving capabilities.
- Music or Acoustic experience and interests
- Demonstrated Machine Learning Engineer experience via an internship, co-op, class, or personal project.
