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Principal Audio DSP/ML Engineer- Audio Technology

๐Ÿ•’ 6 days ago
Audio Signal ProcessingMachine LearningDeep LearningDigital Signal Processing

๐Ÿ“œ 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.

๐Ÿ› ๏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.

โœจ 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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๐Ÿ•’ 6 days ago
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๐Ÿ•’ 10 days ago
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