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Audio Machine Learning Jobs in Massachusetts (NOW HIRING)

Amazon

Applied Scientist III, Alexa Edge AI

Boston, MA · On-site

... novel machine learning algorithms to advance the state of the art in speech and audio processing. Key job responsibilities Conduct applied research project(s) effectively and know when to ask for ...

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 ...

Amazon

Applied Scientist III, Alexa Edge AI

Boston, MA · On-site

... machine learning algorithms to advance the state of the art in speech and audio processing. Key job responsibilities • Conduct applied research project(s) effectively and know when to ask for help ...

Analogdevices

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 ...

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 ...

Telus Digital

$165K - $225K/yr

... broader machine learning organizations. You will operate at the intersection of artificial ... and audio AI systems, providing clients with accessible, cost-effective solutions ready for ...

Telus Digital

$165K - $225K/yr

... broader machine learning organizations. You will operate at the intersection of artificial ... and audio AI systems, providing clients with accessible, cost-effective solutions ready for ...

Sony

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

Sony

$50/hr

... audio signal processing. * Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard

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Showing results 21-40

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 Aug 19, 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:

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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% 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.

Applied Scientist III, Alexa Edge AI

Amazon

Boston, MA • On-site

Full-time

Posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Alexa Edge AI team is looking for a passionate, talented, and innovative senior applied scientist with a strong background in deep learning and speech processing techniques. You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of an industry-leading product used every day by people you know. As an Applied Scientist, you will leverage Amazon's heterogeneous data sources and large-scale computing resources to develop novel machine learning algorithms to advance the state of the art in speech and audio processing.
Key job responsibilities
Conduct applied research project(s) effectively and know when to ask for help and when to work independently
Engage with an experienced cross-disciplinary staff to conceive and design innovative solutions for consumer products.
Actively participate and contribute to research activities including publications and patents
Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test.
Be proactive, flexible and able to succeed within an open collaborative peer environment

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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