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- Tasks: Develop AI-powered audio processing algorithms for real-time applications.
- Company: Join Bose Corporation, a leader in audio innovation and technology.
- Benefits: Competitive pay, health benefits, 401(k), and exclusive employee perks.
- Other info: Collaborate with experts and contribute to groundbreaking projects.
- Why this job: Make an impact in audio tech and showcase your work to the world.
- Qualifications: Pursuing a graduate degree in ML, Computer Science, or related fields.
The predicted salary is between 32000 - 42000 £ per year.
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.
Timeframe: June 1 – August 21, 2026.
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.
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, Interspeech, 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.
Compensation and Benefits
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 Intern 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 Intern in Gildersome
✨Tip Number 1
Network like a pro! Reach out to current or former Bose employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the Audio Machine Learning Intern role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve worked on any relevant projects, create a portfolio or GitHub repository showcasing your work in audio ML or DSP. This gives you a chance to demonstrate your practical knowledge and creativity.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. You’ll need to present your findings clearly, so practice explaining complex concepts in simple terms. Remember, it’s all about making your ideas accessible!
✨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 being part of the Bose team. Let’s make waves together!
We think you need these skills to ace Audio Machine Learning Intern in Gildersome
Some tips for your application 🫡
Show Your Passion for Audio: When you're writing your application, let your love for audio technology shine through! Share any personal projects or experiences that highlight your enthusiasm for sound and machine learning.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Audio Machine Learning Intern role. Highlight relevant skills like TensorFlow or audio DSP, and don’t forget to mention any hands-on experience you have in the field!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and skills, making it easy for us to see why you’d be a great fit for the team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining the Bose family!
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, as well as any relevant research topics mentioned in the job description. This will help you speak confidently about your skills and experiences.
✨Showcase Your Projects
Prepare to discuss any projects you've worked on that relate to audio ML or DSP. Be ready to explain your role, the challenges you faced, and how you overcame them. If you have any prototypes or papers, bring them along or mention them during the interview to demonstrate your hands-on experience.
✨Communicate Clearly
Since you'll be presenting your work to a diverse audience, practice explaining complex concepts in simple terms. Use clear examples to illustrate your points and ensure you can engage with both technical and non-technical team members. Good communication is key!
✨Ask Insightful Questions
Prepare some thoughtful questions about the team, the projects they’re working on, and Bose's vision for the future of audio technology. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it makes for a more engaging conversation!