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Audio Machine Learning Jobs in Massachusetts (NOW HIRING)

TunesMap

DSP Software Engineer

Boston, MA

$131K/yr

This includes integrating and optimizing machine learning models for audio workloads covering classification, enhancement and spatial processing on embedded platforms, as well as bringing in new ...

Sonos, Inc.

DSP Software Engineer

Boston, MA · On-site

$131K/yr

This includes integrating and optimizing machine learning models for audio workloads covering classification, enhancement and spatial processing on embedded platforms, as well as bringing in new ...

Boseallaboutme

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These ... As the world leader in audio experiences, we're creating what's next-pushing boundaries and ...

Bose Corporation

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These ... As the world leader in audio experiences, we're creating what's next-pushing boundaries and ...

Aquila Technology

Software Developer

Lexington, MA

Audio, video, and image processing * Implementing machine learning models and knowledge of ML training * Wearable device development/integration * Knowledge of C, C++, C#, F#, Lua, Java, Kotlin ...

Aquila Technology

Software Developer

Lexington, MA · On-site

Audio, video, and image processing * Implementing machine learning models and knowledge of ML training * Wearable device development/integration * Knowledge of C, C++, C#, F#, Lua, Java, Kotlin ...

Analog Devices

Principal ML Engineer (Robotics)

Boston, MA · On-site

$200K - $275K/yr

Principal Machine Learning Engineer Target hire: Feb 2026 The Dexterous AI Group (DAG) is seeking ... audio, tactile, spatial and temporal understanding powered by physical AI. You will develop ...

Fidelity Investments

Principal Data Scientist

Boston, MA · On-site

$126K/yr

Advanced degree or equivalent experience (Master's or PhD) in Computer Science, Machine Learning ... Experience working with audio data pipelines, speech recognition (ASR), audio-to-audio processing ...

Fidelity Investments

Principal Data Scientist

Boston, MA · On-site

$126K/yr

Advanced degree or equivalent experience (Master's or PhD) in Computer Science, Machine Learning ... Experience working with audio data pipelines, speech recognition (ASR), audio-to-audio processing ...

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All JobsAudio Machine Learning JobsAudio Machine Learning Jobs in Massachusetts

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 Jul 3, 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 are the key skills and qualifications needed to thrive in the Audio Machine Learning position, and why are they important?

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.

Will MLE be replaced by AI?

In the context of an Audio Machine Learning (ML) role, AI tools and automation are increasingly used to assist with tasks like data processing and model deployment. However, MLE professionals are essential for designing, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Human expertise remains critical for interpreting results and ensuring system performance.

What are the typical daily responsibilities of someone working in Audio Machine Learning?

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 is an Audio Machine Learning job?

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.

Which 5 jobs will survive AI?

Audio Machine Learning specialists are likely to continue in demand as AI advances because their expertise in developing and refining audio recognition systems requires specialized skills that are difficult to automate fully. Roles involving creative audio design, audio engineering, and human oversight of AI systems are also expected to persist. These jobs often require a combination of technical knowledge, domain expertise, and critical thinking that AI cannot easily replace.

What engineer makes $500,000 a year?

Senior audio machine learning engineers with extensive experience, advanced skills in deep learning and signal processing, and often working at large tech companies or specialized research labs can earn salaries approaching or exceeding $500,000 annually. Compensation typically includes base salary, bonuses, and stock options, especially in high-demand industries like AI and audio processing.

Do audio engineers get paid well?

Audio engineers typically earn competitive salaries that vary based on experience, location, and industry sector. Entry-level positions may start lower, but experienced professionals working in recording studios, broadcasting, or live sound often have higher earnings, especially with specialized skills and certifications. Overall, the profession offers the potential for good compensation, particularly for those with technical expertise and a strong portfolio.
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:
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:
Audio Machine Learning jobs near you
Infographic showing various Audio Machine Learning job openings in Massachusetts as of June 2026, with employment types broken down into 3% As Needed, 80% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $92,236 per year, or $44.3 per hour.
Internship - Audio Processing for Moving Sounds

Internship - Audio Processing for Moving Sounds

Mitsubishi Electric Research Laboratories

Cambridge, MA

Full-time, Internship

Medical

Posted 13 days ago

Be an early applicant

Job description

We are seeking graduate students interested in helping advance the understanding of applying sophisticated audio processing techniques (e.g., source separation, localization, anomalous sound detection) to moving sound sources (e.g., vehicles). The interns will collaborate with MERL researchers to derive and implement novel algorithms, record data, conduct experiments, and prepare results for publication. Internships regularly lead to one or more publications in top-tier venues, which can later become part of the intern's doctoral work.
The ideal candidates are senior Ph.D. students with experience in some of the following: audio signal processing, microphone array processing, source separation, physics informed machine learning, outlier detection, and unsupervised learning.

The pay range for this internship position will be 6-8K per month.

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.