Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Audio Machine Learning Intern/Co-op
US, MA - Framingham
Live, first seen by us 29 days ago- Pay
$40–51.25/hourLocation-specific pay — pay source
July 12- December 17, 2027 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: Audio Machine Learning Intern/Co-op
What you’ll work on
Full postingDevelop, train and evaluate machine learning and deep learning audio algorithms
Research and implement state-of-the-art audio ML and signal processing approaches
Prototype and integrate ML algorithms into software or hardware platforms
Develop and curate datasets, tools and resources for ML research
Present research findings and technical recommendations to the team
From the employer’s posting
Develop, train, and evaluate machine learning and deep learning algorithms for audio applications.
Research and implement state-of-the-art approaches in audio ML and digital signal processing.
Prototype and integrate ML algorithms into software or hardware platforms to demonstrate new audio experiences.
Develop and curate datasets, tools, and resources to support ML research and evaluation.
Present research findings and technical recommendations to Bose's interdisciplinary community.
What you’ll bring
All qualificationsCore experience
- Experience developing machine learning or deep learning models using PyTorch, TensorFlow, Keras, or similar frameworks.
- Understanding of audio signal processing and/or digital signal processing fundamentals.
- Experience with at least one audio ML area, such as speech enhancement, source separation, microphone array processing, TinyML, generative audio, spatial audio, or audio perception.
Preferred experience
- Experience deploying ML models for real-time or resource-constrained applications, including TFLite, ONNX, or similar technologies.
- Experience with spatial audio, room acoustics, or acoustic simulation and analysis.
Qualification wording
Experience developing machine learning or deep learning models using PyTorch, TensorFlow, Keras, or similar frameworks.
Understanding of audio signal processing and/or digital signal processing fundamentals.
Experience with at least one audio ML area, such as speech enhancement, source separation, microphone array processing, TinyML, generative audio, spatial audio, or audio perception.
Experience deploying ML models for real-time or resource-constrained applications, including TFLite, ONNX, or similar technologies.
Experience with spatial audio, room acoustics, or acoustic simulation and analysis.
Education & alternatives
Minimum Qualifications - Currently pursuing or recently completed an M.S. or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Music Technology, or a related field. - Experience developing machine learning or deep learning models using PyTorch, TensorFlow, Keras, or similar frameworks.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 8, 202629 days ago
- Recorded sightings
- 39
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 29
Similar jobs usually come down between day 6 and day 70.
At Boseallaboutme, jobs usually come down by about day 19.
From 4,599 similar postings that came down, and 9 of Boseallaboutme’s. Coming down is not always a hire.
Boseallaboutme is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C
- MATLAB
- Python
- Keras
- PyTorch
- TensorFlow
- C++
Where the posting names them
- Experience developing machine learning or deep learning models using PyTorch, TensorFlow, Keras, or similar frameworks. - Programming experience with Python and familiarity with C/C++, MATLAB, or similar languages. - Understanding of audio signal processing and/or digital signal processing fundamentals.
- Currently pursuing or recently completed an M.S. or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Music Technology, or a related field. - Experience developing machine learning or deep learning models using PyTorch, TensorFlow, Keras, or similar frameworks. - Programming experience with Python and familiarity with C/C++, MATLAB, or similar languages.
Your next step
Complete your application on boseallaboutme.wd503.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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 DescriptionThe Role
At Bose, we have a passion for creating extraordinary audio experiences by combining innovative research with cutting-edge technology. We’re looking for an Audio Machine Learning Intern to help develop the next generation of AI-powered audio technologies.
In this role you’ll work alongside experts in machine learning, digital signal processing, software engineering, and psychoacoustics to research, prototype, and evaluate novel audio algorithms. Your work may span areas such as speech enhancement, voice pickup, hearing augmentation, spatial audio, and new applications enabled by real-time machine learning.
You’ll have the opportunity to take ideas from research through proof of concept, with the potential to contribute to future Bose products, patents, and research publications.
Responsibilities
- Develop, train, and evaluate machine learning and deep learning algorithms for audio applications.
- Research and implement state-of-the-art approaches in audio ML and digital signal processing.
- Prototype and integrate ML algorithms into software or hardware platforms to demonstrate new audio experiences.
- Develop and curate datasets, tools, and resources to support ML research and evaluation.
- Collaborate with researchers and engineers across disciplines to solve challenging audio problems.
- Present research findings and technical recommendations to Bose's interdisciplinary community.
Minimum Qualifications
- Currently pursuing or recently completed an M.S. or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Music Technology, or a related field.
- Experience developing machine learning or deep learning models using PyTorch, TensorFlow, Keras, or similar frameworks.
- Programming experience with Python and familiarity with C/C++, MATLAB, or similar languages.
- Understanding of audio signal processing and/or digital signal processing fundamentals.
- Experience with at least one audio ML area, such as speech enhancement, source separation, microphone array processing, TinyML, generative audio, spatial audio, or audio perception.
- Strong problem-solving, collaboration, and communication skills.
Preferred Qualifications
- Experience deploying ML models for real-time or resource-constrained applications, including TFLite, ONNX, or similar technologies.
- Experience with spatial audio, room acoustics, or acoustic simulation and analysis.
- Software engineering experience demonstrated through internships, research, coursework, or personal projects.
- Research publications or demonstrated research experience in machine learning, audio, or signal processing.
- Passion for audio, music, machine learning, and creating exceptional sound experiences.
TIMEFRAME
January 11-June 25, 2027
June 7- August 20, 2027
July 12- December 17, 2027
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
July 12- December 17, 2027 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.
- Location & working pattern
US, MA - Framingham
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.