Bose Corporation

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Machine Learning Research Co-op (Finance)



You know the moment. It's the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying "hello." It's in these moments that sound matters most.

At Bose, we believe sound is the most powerful force on earth. We've dedicated ourselves to improving it for nearly 60 years. And we're passionate down to our bones about making whatever you're listening to a little more magical.

The engineering team at Bose is a thriving, passionate, deeply skilled team of professionals from a broad range of disciplines and experiences, who share a common goal-to create products that provide transformative sound experiences.

Job Description

THE PROGRAM

We're looking for students to join our Co-op Program who are obsessively curious about 'what's next'. You'll get hands-on experience with our products and learn from the best of the best in the business. You will work as part of the team for an established research project, or have a dedicated topic of applied research.

Opportunities don't stop at your day-to-day work. While you're getting a targeted look at your area of expertise, we'll expose you to other areas of the company. Our interns and co-ops are given the opportunity to connect with senior leadership across the business to understand different perspectives at Bose. You'll network with other co-ops and colleagues to grow your network for the future!

Timeframe - January to June 2025

THE ROLE

We are looking for a n audio machine learning research co-op to join our research lab this summer and fall! In this role you will help build our next generation of wearable and software products that are empowered by deep learning, enabling people to hear better, focus better and achieve more.

Responsibilities

Develop, train, and evaluate deep learning algorithms with a focus on building models to solve (audio) signal processing and control problems. Research, implement and evaluate a variety of published approaches and algorithms for problems in ML and signal processing.

Minimum Qualification

  • Recent graduate or currently is in the process of obtaining a M.S. or PhD in computer science, electrical engineering, machine learning, music technology, or related field.

  • Strong programming background with 2+ years of experience in Python.

  • Strong experience in implementing deep neural networks with Tensorflow , Keras , PyTorch , etc.

  • Familiar with latest research in deep learning for audio and signal processing, and ability to implement published algorithms

  • Experience with cross-group and cross-culture collaboration.

  • High levels of creativity and quick problem-solving capabilities

Preferred Qualification

  • Demonstrated software engineer experience via an internship, work experience, coding competitions.

  • Strong publication record demonstrating innovative research in venues such as DCASE, ISMIR, ICASSP, etc.

  • Strong knowledge and experience working with audio and digital signal processing, deep learning with time-domain signal, and control systems .

Bose is an equal opportunity employer that is committed to inclusion and diversity. 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. For additional information, please review: (1) the EEO is the Law Poster (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf); and (2) its Supplements (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm). Please note, the company's pay transparency is available at http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf. Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to Wellbeing@bose.com and let us know the nature of your request and your contact information.

Bose is an equal opportunity employer that is committed to inclusion and diversity. 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. For additional information, please review: (1) the EEO is the Law Poster (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf); and (2) its Supplements (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm). Please note, the company's pay transparency is available at http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf. Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to Wellbeing@bose.com and let us know the nature of your request and your contact information.
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.

If you believe you need a reasonable accommodation, please send a note to wellbeing@bose.com Apply