Audio Machine Learning Research Intern
Share
Job Location:
Framingham, MA - USA
Hourly Salary:
$ 40 - 51
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
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 PROGRAM
Were looking for students to join our Co-Op Program who believe that sound is power. Over the 6-month co-op you will get the opportunity to apply the skills you learned in the classroom with hands-on work experience. Our Co-Ops will get to network across the business to understand different perspectives at Bose. Youll connect with other Co-Ops and colleagues to grow your network for the future!
Timeframe - Spring Co-op- Must be available June 1- August 21
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 havent 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.).
REQUIREMENTS
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)
- 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 youre 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 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 companydriven by purpose guided by our values and united by a belief in the power of sound. As the world leader in audio experiences were creating whats nextpushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Lets 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. The EEOCs Know Your Rights: Workplace discrimination is illegal Poster is available here: 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 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.
Required Experience:
Intern
Key Skills
- Robotics
- Machine Learning
- Python
- AI
- C/C++
- Data Collection
- Research Experience
- Signal Processing
- Natural Language Processing
- Computer Vision
- Deep Learning
- Tensorflow
