What are the responsibilities and job description for the Audio Machine Learning Co-Op Job at Bose Corporation in in Framingham position at Bose Corporation in?
Audio Machine Learning 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 in the business. You will immerse yourself into Bose for 6 months and get the opportunity to grow the skills you learned in the classroom with hands-on work experience. 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 an in-depth look at your area of expertise, we'll expose you to other areas of the company. Our 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 - July-December 2025
THE ROLE
The goal of our team is to develop novel AI-powered audio processing algorithms. The twist is that our algorithms must run in real-time, on physical devices, for applications such as voice pickup, hearing augmentation, and ones we haven't even thought of yet. As part of the team, you will work with experts in machine learning, digital signal processing, software engineering, and psychoacoustics to prototype and implement new algorithms.
Current research interests of our group include machine learning (ML) methods for single- and multi-channel audio signal processing, source separation, perceptually-grounded speech enhancement, lightweight, low-latency ML models for low-resource devices, and related topics.
Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose!
Responsibilities :
- The majority of your time will be devoted to prototyping, implementing, and evaluating ML algorithms, curating and developing internal resources, and regularly presenting your findings.
- You will integrate your novel solutions into new and existing systems and platforms to deliver new proofs of concept.
- You will be able to contribute to projects, which will be shipped to Bose customers, apply for patents, or submit papers to top-tier AI and signal processing conferences (e.g., NeurIPS, ICASSP, Interspeech, etc.).
Education :
Skills :
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.
J-18808-Ljbffr
