Machine Learning and DSP Research Intern

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

THE ROLE

We're looking for a Machine Learning (ML) & Digital Signal Processing (DSP) Research Intern to join the Advanced Systems Research group to work within the Automotive Active Sound Management space. In this role, the selected candidate will help us develop novel solutions for noise cancellation in cars by leveraging current advances at the intersection of ML and noise control. This person will design and validate new algorithms to improve noise cancellation performance, customization, scalability and generalizability of deployed solutions. The primary working language will be Python and/or MATLAB with an ML backend of TensorFlow/Pytorch. They will be responsible for collaborating with others in the team and working at the interface of DSP and ML based algorithms. This person will need to be comfortable working with large amounts of data collected in the laboratory and in the field. Part of their work may involve working with hardware during model deployment. This work will have a direct impact across the automotive division as well as other divisions focused on noise cancellation using hybrid DSP-ML techniques.

Additional responsibilities will include:

Literature review of latest advancements in ML based algorithms for noise control applications Help modularize our current classical-DSP based solutions using machine learning Build on existing framework and deliver a deployable model on hardware

REQUIREMENTS

To be successful in this role, you should be/have: Masters degree in Electrical Engineering, Computer Science, Acoustical Engineering, Mechanical Engineering or a related field. Strong working knowledge of Machine Learning and Data Analysis supported by a background in Digital Signal Processing. Basic and advanced courses in ML and DSP. Strong communication skills with a proven track record of publishing research articles.

Preferred Qualifications:

Doctoral degree, 3rd year PhD and above ‎ 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. ‎ 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. Candidate Privacy Notice Candidate Terms & Conditions Cookie Notice We're a company built on disruptive innovation—having the courage to challenge the status quo, an unwavering commitment to our customers, and the fundamental belief that anything is possible. We never settle; we have a passion for discovering better ways to help people enjoy the things they love. We need people like you, people with better solutions. If you join us, you'll find the opportunity to do your best work and the freedom to enjoy it. Here, every employee has the opportunity to build their own success and contribute to ours. It's an atmosphere of trust, collaboration, high expectations, and great reward.