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.
DSP/ML Research Engineer Intern | Summer 2027
US, MA - Framingham
Actively hiring, first seen by us 2 days ago- Pay
$40–51.25/hourLocation-specific pay — pay source
Music or Acoustic experience and interests 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: DSP/ML Research Engineer Intern | Summer 2027
What you’ll work on
Full postingResearch, implement and evaluate multimodal sensor fusion methods for environmental sensing
Develop and evaluate DSP and machine learning algorithms for room sensing
Collect data from microphones, IMUs and light-based sensors
Develop machine learning models, training data and evaluation infrastructure
From the employer’s posting
Research, implement and evaluate of multimodal fusion methods of sensors for environmental sensing.
Develop and evaluate DSP and Machine Learning algorithms with a focus on room environmental sensing application.
Collecting data using a variety of sensors such as microphones, IMUs, and light based systems.
Develop machine learning models, training data, and evaluation infrastructure.
What you’ll bring
All qualificationsCore experience
- Currently pursuing an M.S. or PhD in EE, acoustics, computer science or related field
- Strong Python and MATLAB programming experience
- Strong experience with TensorFlow or PyTorch
- Camera and IMU data collection and signal processing experience
- Familiarity with deep learning and memory-constrained models
Qualification wording
Currently in the process of obtaining a M.S., or PhD in Electrical Engineering, Acoustic Engineering, Computer Science, or related field.
Strong experience with programing in Python and MatLab.
Strong experience with TensorFlow or PyTorch.
Experience with camera and IMU data collection and signal processing.
Familiar with Machine Learning, including deep learning neural networks, memory constrained models, and training data development.
Education & alternatives
Minimum Qualification - Currently in the process of obtaining a M.S., or PhD in Electrical Engineering, Acoustic Engineering, Computer Science, or related field. - Strong experience with programing in Python and MatLab.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 20262 days ago
- Recorded sightings
- 3
- 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 2
Early. Similar jobs usually come down between day 6 and day 71.
At Boseallaboutme, jobs usually come down by about day 19.
From 4,626 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.
- Bash
- C
- MATLAB
- Python
- PyTorch
- TensorFlow
- C++
Where the posting names them
- Knowledge of embedded DSP. - Knowledge of C/C++, and bash scripting - Music or Acoustic experience and interests
- Currently in the process of obtaining a M.S., or PhD in Electrical Engineering, Acoustic Engineering, Computer Science, or related field. - Strong experience with programing in Python and MatLab. - Strong experience with TensorFlow or PyTorch.
- Strong experience with programing in Python and MatLab. - Strong experience with TensorFlow or PyTorch. - Experience with camera and IMU data collection and signal processing.
Your next step
Complete your application on boseallaboutme.wd503.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- 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 DescriptionDSP/ML Research Engineer Intern | Summer 2027
We are looking for a Machine Learning/DSP Engineer Intern to join our research lab this summer! In this role you will help build our next generation product experiences enabling people to hear better, relish musical experiences, and achieve more. The duration of this position is 3 months starting June 2027 (full-time 40 hours/week).
Responsibilities
- Research, implement and evaluate of multimodal fusion methods of sensors for environmental sensing.
- Develop and evaluate DSP and Machine Learning algorithms with a focus on room environmental sensing application.
- Collecting data using a variety of sensors such as microphones, IMUs, and light based systems.
- Develop machine learning models, training data, and evaluation infrastructure.
Minimum Qualification
- Currently in the process of obtaining a M.S., or PhD in Electrical Engineering, Acoustic Engineering, Computer Science, or related field.
- Strong experience with programing in Python and MatLab.
- Strong experience with TensorFlow or PyTorch.
- Experience with camera and IMU data collection and signal processing.
- Familiar with Machine Learning, including deep learning neural networks, memory constrained models, and training data development.
- Familiar with real time processing applications.
- Familiar with acoustic modeling.
- Experience with cross-group and cross-culture collaboration.
- High levels of creativity and quick problem-solving capabilities.
Preferred Qualification
- Demonstrated Machine Learning Engineer experience via an internship, co-op, class, or personal project.
- Knowledge of embedded DSP.
- Knowledge of C/C++, and bash scripting
- Music or Acoustic experience and interests
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Music or Acoustic experience and interests 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.