Bose
Location
Framingham, MA | United States
Job description
Job Description
ABOUT BOSE
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. And we’ve dedicated ourselves to improving it for nearly 60 years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, “I can make this better,” we’ve been relentlessly pushing forward to the next best thing.
Innovation is more than what we do. It’s who we are — constantly learning and constantly curious. We never stop imagining what better sound sounds like. We’re music fanatics and audio engineers. We’re explorers and inventors and dreamers. And we’re passionate down to our bones about making whatever you’re listening to a little more magical.
THE PROGRAM
We're looking for students to join our Internship 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 complete a specific project in 10-12 weeks with us, while integrating into your team. By the time you end your time with us, you will have been given the opportunity to truly make a real impact in the future of Bose and your career!
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 are given the opportunity to connect with senior leadership across the business to understand different perspectives at Bose. You'll network with other interns and colleagues to grow your network for the future!
Timeframe - June-August 2024
THE ROLE
Bose is seeking an intern to join our research team focused on developing the next generation audio and noise management algorithms. The ideal candidate should have research experience in developing state space estimation algorithms and a good understanding of the modern machine learning and deep learning methods and frameworks. As a research intern you will be working on the next generation system identification problems and developing algorithms at the intersection of machine learning, signal processing and control theory. You will have the opportunity to tackle the challenges of deploying learning algorithms on edge devices and contribute towards the development of optimal hybrid algorithms for low latency applications.
Required Qualifications:
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