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Audio Machine Learning Jobs in Massachusetts (NOW HIRING)

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 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 ...

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 ...

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 ...

... and machine learning technologies. - Configure workflow/automation platforms such as ServiceNow. - Support digital productivity and audio-visual (AV) solutions. - Test, troubleshoot, deploy, and ...

$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 ...

Showing results 21-40

Audio Machine Learning information

See Massachusetts salary details

$32.2K

$92.2K

$187.3K

How much do audio machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for audio machine learning in Massachusetts is $92,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $123,400.00 per year, depending on experience, location, and employer.

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:

Infographic showing various Audio Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $92,236 per year, or $44.3 per hour.

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 Description

Digital 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.
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: $138,100-$189,850.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.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 EEOC's "Know Your Rights: Workplace discrimination is illegal" Poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf. 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 applicant_disability_accommodationrequest@bose.com. 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.