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Audio Machine Learning Research Engineer

Bose Corporation, U.S.A
Full-time
On-site
US, MA - Framingham United States of America
Audio Software, AI Audio

At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.

Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.

Job Description

Bose Research is seeking a passionate and inventive Audio/DSP Machine Learning Engineer to help shape the future of sound. In this role, you will push the boundaries of audio technology across our Premium Audio, Luxury, and Audio Tech Licensing businesses. You’ll explore and develop cutting-edge DSP and machine learning approaches that redefine what’s possible in audio rendering, voice capture, and sound-centric experiences. Working at the forefront of innovation, you will co-invent breakthrough technologies and guide them from exploratory research into advanced development, enabling the next generation of world-class Bose products and platforms.

Responsibilities

  • Develop, evaluate, and refine Machine Learning and DSP algorithms with a focus on audio applications.
  • Drive new areas of research and growth by leveraging the state-of-the-art deep learning and audio AI models.
  • Research, implement and evaluate a variety of published approaches and algorithms for problems in DSP, Machine Learning, and audio signal processing.
  • Develop infrastructure for machine learning models, training data, and evaluation.

Minimum Qualification

  • M.S. or PhD degree in Electrical Engineering, Acoustic Engineering, Computer Science, Music Technology, or related field with a machine learning focus.
  • 3+ years of demonstrated audio/acoustics/DSP machine learning research and engineering experiences
  • Demonstrated experience with programing in Python and MATLAB.
  • Demonstrated experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Expertise in machine learning and deep learning applications in the audio domain
  • Experience with cross-group and cross-culture collaboration.
  • High levels of creativity, independence, and quick problem-solving capabilities.

Preferred Qualification

  • Experience and interest in music playback rendering for out loud audio systems
  • Experience in critical listening
  • Publication records in one of the ML or audio DSP conferences including ICASSP, Interspeech, ICLR, NeuraIPS, DCASE, ISMIR, etc.
  • Experience in machine learning for signal processing data
  • Familiar with DSP for real-time applications, room acoustics, and mathematics.
  • Music or Acoustic experience and interests

At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Framingham, Massachusetts is: $138,000-$189,750.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company—driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we’re creating what’s next—pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let’s Make Waves.

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Bose is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. The EEOC’s “Know Your Rights: Workplace discrimination is illegal” Poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf. Bose is committed to providing reasonable accommodations to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to applicant_disability_accommodationrequest@bose.com. Please include "Application Accommodation Request" in the subject of the email.

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Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.