Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Principal Audio DSP/ML Engineer- Audio Technology
United States, Work from Home
Live, first seen by us 45 days ago- Pay
$216,000–297,000/yearAnnual period assumed. Location-specific pay — pay source
Your work ships as both licensed audio technology at scale. 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 Remote, California is: $216,000-$297,000.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
Remote — work setting source
Listed location: United States, Work from Home
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and develop audio signal processing and ML algorithms for speech and audio
Build ML and deep learning models for audio and time-series data, backed by classical DSP
Turn research ideas into scalable solutions used by millions of consumers
From the employer’s posting
Design and develop audio signal processing and machine learning algorithms for speech and audio applications
Apply primarily modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data.
translate research ideas into practical, scalable solutions that will be experienced by millions of consumers
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field.
- Hands-on experience with machine learning applied to audio or time-series data.
- Experience with Python and/or MATLAB for research and prototyping.
- Solid understanding of audio systems and acoustics.
- Strong communication skills.
Preferred experience
- Experience with speech or audio ML tasks, such as:- Audio source separation / speech enhancement
- Proficiency in C and/or C++ for performance-critical systems.
Qualification wording
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field.
Hands-on experience with machine learning applied to audio or time-series data.
Experience with Python and/or MATLAB for research and prototyping.
Solid understanding of audio systems and acoustics.
Strong communication skills.
Experience with speech or audio ML tasks, such as:- Audio source separation / speech enhancement
Proficiency in C and/or C++ for performance-critical systems.
Education & alternatives
Qualifications: - Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field. - Hands-on experience with machine learning applied to audio or time-series data.
Preferred Qualifications: - MS or PhD in a relevant technical field. - Deep practical knowledge of:- Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 22, 202645 days ago
- Recorded sightings
- 59
- 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 45
Similar jobs usually come down between day 6 and day 70.
Well past Boseallaboutme’s usual: its jobs come down by about day 19.
From 4,508 similar postings that came down, and 8 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
- PyTorch
- TensorFlow
- C++
Where the posting names them
- Deep practical knowledge of:- Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite. - Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++. - Experience with speech or audio ML tasks, such as:- Audio source separation / speech enhancement
- Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis). - Experience with Python and/or MATLAB for research and prototyping. - Solid understanding of audio systems and acoustics.
- MS or PhD in a relevant technical field. - Deep practical knowledge of:- Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite. - Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++.
- Strong software engineering practices (debugging, profiling, version control). - Proficiency in C and/or C++ for performance-critical systems. - Publications, patents, or demonstrated innovation in DSP or ML.
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 DescriptionPrincipal Audio DSP/ML Engineer - Audio Technology
We are seeking a Principal Audio DSP / Machine Learning Applied Scientist to invent, develop, and productize advanced audio technologies. In this role, you will combine signal processing, machine learning, and systems engineering to deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipeline—from algorithm research and deployment to optimized, real-time deployment on production hardware.
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:
- Design and develop audio signal processing and machine learning algorithms for speech and audio applications such as noise suppression, echo cancellation, beamforming, spatial audio, and audio enhancement
- Apply primarily modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data.
- Investigate new modeling approaches and translate research ideas into practical, scalable solutions that will be experienced by millions of consumers.
Qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field.
- Hands-on experience with machine learning applied to audio or time-series data.
- Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis).
- Experience with Python and/or MATLAB for research and prototyping.
- Solid understanding of audio systems and acoustics.
- Strong communication skills.
Preferred Qualifications:
- MS or PhD in a relevant technical field.
- Deep practical knowledge of:
- Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite.
- Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++.
- Experience with speech or audio ML tasks, such as:
- Audio source separation / speech enhancement
- Echo reduction
- Microphone array signal processing
- Strong software engineering practices (debugging, profiling, version control).
- Proficiency in C and/or C++ for performance-critical systems.
- Publications, patents, or demonstrated innovation in DSP or ML.
What success looks like:
- You deliver robust, high-quality audio algorithms that work reliably in real-world conditions.
- You balance audio quality, ML performance, and system constraints effectively.
- You influence product direction through technical insight and data-driven decisions.
- Your work ships as both licensed audio technology at scale.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Your work ships as both licensed audio technology at scale. 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 Remote, California is: $216,000-$297,000.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
United States, Work from Home
- Your work ships as both licensed audio technology at scale. 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 Remote, California is: $216,000-$297,000.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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.