Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...
Edge AI ML Engineer
Framingham, MA · On-site
$84K - $113K/yr
About the Role As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...
Edge AI ML Engineer
Framingham, MA · On-site
$84K - $113K/yr
About the Role As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...
Edge AI ML Engineer
Framingham, MA · On-site
$84K - $113K/yr
About the Role As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...
Edge AI ML Engineer
Framingham, MA · On-site
$84K - $113K/yr
About the Role As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...
Edge AI ML Engineer
Framingham, MA · On-site
$85K - $113K/yr
About the RoleAs an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...
Edge AI ML Engineer
Framingham, MA · On-site
$85K - $113K/yr
About the RoleAs an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...
Edge AI ML Engineer
Framingham, MA · On-site
$85K - $113K/yr
About the Role As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...
Edge AI ML Engineer
Framingham, MA · On-site
$85K - $113K/yr
About the Role As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...
ML Engineer
Boston, MA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... time audio understanding. • Develop and optimize ML models focused on audio data to extract ...
ML Engineer
Boston, MA · On-site
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... time audio understanding. • Develop and optimize ML models focused on audio data to extract ...
The role involves creating software modules that analyze audio and video data to enhance real-time ... with applying machine learning to sensing tasks • Mandarin Company : Netpace is a Data-Driven ...
The role involves creating software modules that analyze audio and video data to enhance real-time ... with applying machine learning to sensing tasks • Mandarin Company : Netpace is a Data-Driven ...
Edge AI ML Engineer - Bose
Framingham, MA · On-site
$150 - $200/hr
About the Role As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...
Edge AI ML Engineer - Bose
Framingham, MA · On-site
$150 - $200/hr
About the Role As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices. You will work at the boundary of ML ...
Microsoft Power Platform
Boston, MA · On-site
... and machine learning technologies. - Configure workflow/automation platforms such as ServiceNow. - Support digital productivity and audio-visual (AV) solutions. - Test, troubleshoot, deploy, and ...
Quick apply
Microsoft Power Platform
Boston, MA · On-site
... and machine learning technologies. - Configure workflow/automation platforms such as ServiceNow. - Support digital productivity and audio-visual (AV) solutions. - Test, troubleshoot, deploy, and ...
Principal Software Engineer - Software Architecture
Framingham, MA · On-site
$138K - $186K/yr
Experience architecting production systems incorporating machine learning, AI, optimization, or other data-driven technologies, particularly in embedded or edge environments. * Knowledge of audio ...
Principal Software Engineer - Software Architecture
Framingham, MA · On-site
$138K - $186K/yr
Experience architecting production systems incorporating machine learning, AI, optimization, or other data-driven technologies, particularly in embedded or edge environments. * Knowledge of audio ...
$165K - $225K/yr
... broader machine learning organizations. You will operate at the intersection of artificial ... audio AI systems, providing clients with accessible, cost-effective, continuously refreshed ...
$165K - $225K/yr
... broader machine learning organizations. You will operate at the intersection of artificial ... audio AI systems, providing clients with accessible, cost-effective, continuously refreshed ...
$165K - $225K/yr
... broader machine learning organizations. You will operate at the intersection of artificial ... audio AI systems, providing clients with accessible, cost-effective, continuously refreshed ...
$165K - $225K/yr
... broader machine learning organizations. You will operate at the intersection of artificial ... audio AI systems, providing clients with accessible, cost-effective, continuously refreshed ...
Member Of The Technical Staff - Software Engineer (UI/UX)
Cambridge, MA · On-site
$113K - $151K/yr
... machine learning, and robotics and have significant traction. We're backed by a $25M seed round ... The underlying data includes synchronized high-resolution video, audio, transcripts, sensor streams ...
Member Of The Technical Staff - Software Engineer (UI/UX)
Cambridge, MA · On-site
$113K - $151K/yr
... machine learning, and robotics and have significant traction. We're backed by a $25M seed round ... The underlying data includes synchronized high-resolution video, audio, transcripts, sensor streams ...
... machine learning, and robotics and have significant traction. We're backed by a $25M seed round ... Experience working with or reasoning about multimodal systems (e.g., vision, audio, sensor data ...
... machine learning, and robotics and have significant traction. We're backed by a $25M seed round ... Experience working with or reasoning about multimodal systems (e.g., vision, audio, sensor data ...
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Quick apply
You'll be working with audio, speech, and language data -- helping ensure models are trained on ... machine learning by blending technology and human intelligence to collect, annotate, and evaluate ...
Audio Machine Learning information
See Massachusetts salary details
$32.2K - $46.3K
16% of jobs
$52.8K is the 25th percentile. Wages below this are outliers.
$46.3K - $60.4K
19% of jobs
$60.4K - $74.5K
13% of jobs
The median wage is $76.1K / yr.
$74.5K - $88.6K
14% of jobs
$88.6K - $102.7K
10% of jobs
$109.2K is the 75th percentile. Wages above this are outliers.
$102.7K - $116.8K
6% of jobs
$116.8K - $130.9K
4% of jobs
$130.9K - $145K
5% of jobs
$145K - $159.1K
4% of jobs
$159.1K - $173.2K
8% of jobs
$173.2K - $187.3K
0% of jobs
$32.2K
$92.2K
$187.3K
How much do audio machine learning jobs pay per year?
What is an audio machine learning?
An Audio Machine Learning job involves developing algorithms and models that analyze, process, and generate audio data. Responsibilities typically include working with speech recognition, music analysis, sound classification, and audio enhancement. Professionals in this field use deep learning, signal processing, and neural networks to improve audio-based applications like voice assistants, noise reduction systems, and music recommendation engines. They often work with datasets of speech, music, or environmental sounds to build models that understand and manipulate audio signals effectively.
What does an audio machine learning do?
Professionals in Audio Machine Learning typically spend their days designing, developing, and optimizing machine learning models tailored to audio data, such as speech or music recognition systems. You may also preprocess large datasets, extract and engineer relevant features, and collaborate closely with data scientists, audio engineers, and software developers to integrate your work into larger applications. Regular tasks often include running experiments, evaluating model performance, tuning hyperparameters, and keeping up with the latest advancements in the field. Team meetings, code reviews, and presenting findings to stakeholders are also common parts of the workweek.
What are the key skills and qualifications needed to thrive in audio machine learning?
To thrive in Audio Machine Learning, you need a strong background in machine learning, digital signal processing, and proficiency with programming languages such as Python or MATLAB, typically supported by a relevant degree in computer science, electrical engineering, or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with audio libraries (e.g., Librosa), and knowledge of cloud computing tools are highly valued, as are certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication are essential soft skills for success in this field. These skills are crucial for developing innovative solutions, collaborating across multidisciplinary teams, and addressing complex audio data challenges in real-world projects.
What are the most commonly searched types of Audio Machine Learning jobs in Massachusetts?
The most popular types of Audio Machine Learning jobs in Massachusetts are:
What are popular job titles related to Audio Machine Learning jobs in Massachusetts?
For Audio Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
- Deep Learning Engineer
- Remote Internship Data Engineering
- Machine Learning Engineer Biotech
- Entry Level Large Language Model Llm
- Remote Audio Electrical Engineer
- Remote Visual Foxpro Programmer
- Machine Learning Summer Internship
- Remote Machine Learning Software Engineer
- Machine Learning Ai Developer
- Machine Learning Engineer Intern
What job categories do people searching Audio Machine Learning jobs in Massachusetts look for?
The top searched job categories for Audio Machine Learning jobs in Massachusetts are:

Digital Signal Processing Engineer - Audio Technology
Framingham, MA • On-site
Full-time
Medical, Retirement
Re-posted 5 days ago
Key responsibilities
Design, implement, and test DSP algorithms to solve technical challenges for licensable audio technologies.
Contribute to delivering new customer and partner benefits using technologies such as active noise reduction, voice pickup, spatial audio, and speech enhancement.
Support the integration and validation of DSP algorithms on embedded, real-time systems.
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 DescriptionDigital Signal Processing Engineer - Audio Technology Licensing
About Bose
Bose Corporation is dedicated to developing breakthrough audio technologies that enrich people's lives. While Bose is well known for its first-party consumer and automotive products, an increasingly important part of our future is enabling partners around the world to deliver differentiated audio experiences through licensed Bose technologies.
The Audio Technology Licensing organization focuses on developing scalable, portable, and high-performance audio technologies that can be deployed across a wide range of partner platforms and products.
Role Overview
We are looking for a hands-on DSP engineer to join our Audio Technology Licensing engineering team. This role is well suited for a Senior and above level engineer who enjoys applying strong DSP fundamentals while learning how to design algorithms that must scale across multiple platforms, partners, and use cases.
Success for the Audio Tech DSP team emphasizes algorithm robustness, portability, and partner enablement, while still offering deep technical ownership and exposure to real-world production systems. You will work closely with senior DSP engineers, platform teams, and external partners to deliver licensable audio technologies that meet demanding quality and performance requirements.
DSP Engineer Role
DSP engineers in the Audio Technology Licensing group work in cross-disciplinary, highly collaborative teams to develop and deploy signal processing algorithms that improve audio experiences for our technology partners and their customers.
You will contribute to a broad set of technologies including audio signal processing, speech and voice processing, noise reduction, and microphone array systems, and gain experience adapting algorithms to different hardware and software environments. This role provides strong opportunities for technical growth while maintaining clear ownership of deliverables.
Key Responsibilities
- Design, implement, and test DSP algorithms to solve technical challenges for licensable audio technologies.
- Contribute to delivering new customer and partner benefits using technologies such as active noise reduction, voice pickup, spatial audio, and speech enhancement.
- Work with senior engineers to ensure algorithms are robust, portable, and scalable across multiple platforms and partner products.
- Support the integration and validation of DSP algorithms on embedded, real-time systems.
- Assist in adapting and tuning algorithms for different hardware, software, and system constraints encountered in a licensing environment.
- Participate in technical evaluations of third-party technologies and contribute to make-vs-buy analyses when appropriate.
- Collaborate with internal teams across engineering, systems, software and product management to support partner delivery and long-term platform goals.
Skills & Qualifications
The ideal candidate will have a strong subset of the following:
Technical Skills
- Solid foundation in digital signal processing, with experience in audio and/or speech processing.
- Experience developing DSP algorithms for embedded or real-time systems.
- Proficiency programming signal processing algorithms using C, Python, and Matlab; exposure to fixed-point or optimized implementations is a plus.
- Familiarity with acoustics and acoustic measurements, including microphones and audio transducers.
- Experience debugging embedded systems and working with audio lab equipment.
- Ability to evaluate and integrate third-party algorithms and libraries.
Desirable (Not Required)
- Exposure to applied machine learning techniques for audio systems, such as ML-assisted noise reduction, speech enhancement, or audio classification.
- Familiarity with Bluetooth audio systems and their constraints.
- Interest in understanding how DSP algorithms scale across different platforms and partner implementations.
Collaboration & Communication
- Effective communication skills, with the ability to discuss technical topics with engineers from different disciplines.
- A collaborative, self-directed working style suited to small, highly technical teams.
Education & Experience
- BS in Electrical Engineering, Computer Engineering, or a signal-processing-related field; MS preferred.
- 5+ years of relevant industry experience in DSP, audio, or related embedded systems development.
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.