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- Tasks: Develop AI-powered audio algorithms for real-time applications like voice pickup and hearing augmentation.
- Company: Join Bose Corporation, a leader in audio innovation and customer-focused technology.
- Benefits: Competitive pay, health benefits, 401(k), and exclusive employee perks.
- Why this job: Shape the future of audio tech while working with industry experts and cutting-edge tools.
- Qualifications: Pursuing a graduate degree in ML, Computer Science, or related fields; audio ML experience preferred.
- Other info: Collaborative environment with opportunities to present at top-tier conferences and contribute to impactful projects.
The predicted salary is between 30 - 40 ÂŁ per hour.
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.
Candidates must be available to work full‑time (40 hours per week) from July 13 through December 18, 2026. No relocation assistance is available.
THE ROLE
The goal of the Audio Machine Learning Research 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 (ML), digital signal processing (DSP), software engineering and psychoacoustics to prototype and implement new algorithms. 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
- Most of your time will be devoted to prototyping, implementing and evaluating ML algorithms, curating and developing internal resources, and presenting your findings.
- You will integrate your novel solutions into existing systems and platforms to showcase new (proof of concept) solutions.
- You will be able to contribute to projects, which will be shipped to Bose customers, apply for patents, and/or submit papers to top‑tier AI and signal processing conferences (e.g., NeurIPS, ICASSP, Interpeech, etc.).
Education
Pursuing or recently finished a graduate‑level degree in ML, Computer Science, Music Technology or a related field.
Skills
- Practical knowledge of Applied audio ML (TensorFlow/PyTorch, TFLite/ONNX is a plus) and Audio DSP (Python, Matlab and/or C/C++).
- Hands‑on experience in at least one of the following research topics: Audio source separation, Speech enhancement, Microphone array signal processing, Tiny ML, Generative audio modelling.
- Familiarity with methods for spatial sound synthesis and/or room acoustics simulation/analysis is a plus.
- Strong communication skills. You will be presenting your work to a large interdisciplinary community.
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: $40.00-$51.25 per hour. 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.
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.
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.
Audio Machine Learning Co-op in Gildersome employer: Bose Corporation
Contact Detail:
Bose Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Audio Machine Learning Co-op in Gildersome
✨Tip Number 1
Network like a pro! Reach out to people in the audio and machine learning fields on LinkedIn or at industry events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to audio ML and DSP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with diverse teams at Bose.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Bose team and contributing to our innovative projects.
We think you need these skills to ace Audio Machine Learning Co-op in Gildersome
Some tips for your application 🫡
Show Your Passion for Audio and ML: When writing your application, let your enthusiasm for audio technology and machine learning shine through. Share any personal projects or experiences that highlight your love for sound and innovation.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. Highlight your practical knowledge of audio ML and DSP, and don’t forget to mention any relevant research topics you’ve worked on.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We want to understand your qualifications without getting lost in technical details!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Bose Corporation
✨Know Your Stuff
Make sure you brush up on your knowledge of audio machine learning and digital signal processing. Familiarise yourself with the latest algorithms and tools like TensorFlow or PyTorch. Being able to discuss your hands-on experience with these technologies will show that you're not just a theory person but someone who can get things done.
✨Showcase Your Passion
Bose is all about innovation and creativity in audio technology. Be ready to share why you're passionate about machine learning and audio. Talk about any personal projects or research you've done that relates to the role. This will help you connect with the interviewers and demonstrate your enthusiasm for the field.
✨Prepare for Technical Questions
Expect some technical questions related to audio source separation, speech enhancement, or microphone array signal processing. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with a diverse team. Consider doing mock interviews to get comfortable with this.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects or the future direction of audio technology at Bose. This shows that you're genuinely interested in the company and the role, and it gives you a chance to assess if it's the right fit for you too.