We are seeking a Principal Machine Learning Engineer โAmgenโs most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI solutions.
Principal Audio DSP/ML Engineer- Audio Technology
๐ Description
- Design and develop audio signal processing and machine learning algorithms for applications like noise suppression and echo cancellation.
- Apply modern ML/deep learning approaches alongside classical DSP techniques to audio and time-series data.
- Investigate new modeling approaches and translate research ideas into practical, scalable solutions.
- Work across the full pipeline from algorithm research to real-time deployment on production hardware.
๐ ๏ธ Requirements
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field.
- Hands-on experience with machine learning applied to audio or time-series data.
- Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis).
- Experience with Python and/or MATLAB for research and prototyping.
- Solid understanding of audio systems and acoustics.
- Strong communication skills.
โจ Benefits
- Comprehensive health and welfare benefits.
- 401(k) plan.
- Exclusive perks designed to support your wellbeing.
- Generous employee discount on products.
Full job description
Join Bose as a Principal Audio DSP/ML Engineer to innovate and develop advanced audio technologies that enhance consumer experiences through machine learning and signal processing.
Description
- Design and develop audio signal processing and machine learning algorithms for applications like noise suppression and echo cancellation.
- Apply modern ML/deep learning approaches alongside classical DSP techniques to audio and time-series data.
- Investigate new modeling approaches and translate research ideas into practical, scalable solutions.
- Work across the full pipeline from algorithm research to real-time deployment on production hardware.
Requirements
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field.
- Hands-on experience with machine learning applied to audio or time-series data.
- Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis).
- Experience with Python and/or MATLAB for research and prototyping.
- Solid understanding of audio systems and acoustics.
- Strong communication skills.
Benefits
- Comprehensive health and welfare benefits.
- 401(k) plan.
- Exclusive perks designed to support your wellbeing.
- Generous employee discount on products.
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