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Freelance Audio Machine Learning Jobs (NOW HIRING)

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site

$86K - $135K/yr

Machine Learning Engineer - Edge Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions.

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...

10a Labs

Machine Learning Engineer

They are seeking an experienced Machine Learning Engineer to own the full ML lifecycle, including ... audio, OCR, or deepfake classification. • Designing multilingual embedding systems with code ...

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

NxT Level

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115.20K - $158.20K/yr

Machine Learning Engineer Our client is a public safety product that's looking to add a machine ... If you're excited about the future of video, audio, video content moderation, and more then you ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP * 2+ years experience managing machine learning teams * You have an ability to understand and make ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...

Roku

Software Engineer, Machine Learning

San Jose, CA · On-site

$135K - $185K/yr

You will explore Picture Quality (PQ) and Audio Quality (AQ) improvements using AI in a resource ... Hands-on experience with Machine Learning / Deep Learning frameworks like TensorFlow or PyTorch

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a ...

MORSE Corp

Machine Learning Engineer

Cambridge, MA · On-site

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE ...

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All JobsAudio Machine Learning JobsFreelance Audio Machine Learning Jobs

Freelance Audio Machine Learning information

See salary details

$64K

$70K

$74.5K

How much do freelance audio machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for freelance audio machine learning in the United States is $70,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $72,500.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Audio Machine Learning vs Freelance Audio Signal Processing?

AspectFreelance Audio Machine LearningFreelance Audio Signal Processing
Required SkillsMachine learning, programming, audio analysisDigital signal processing, audio engineering, software tools
Work EnvironmentData analysis, model development, algorithm designAudio editing, filtering, signal enhancement
Common EmployersTech companies, startups, research labsAudio production houses, broadcasting, music industry
CertificationsMachine learning, data science, programming certificationsAudio engineering, DSP certifications

Freelance Audio Machine Learning focuses on developing algorithms and models to analyze and interpret audio data using machine learning techniques. In contrast, Freelance Audio Signal Processing involves applying traditional digital signal processing methods to enhance or modify audio signals. Both roles require technical expertise but differ in their core methods and applications.

More about Freelance Audio Machine Learning jobs
What cities are hiring for Freelance Audio Machine Learning jobs? Cities with the most Freelance Audio Machine Learning job openings:
What are the most commonly searched types of Audio Machine Learning jobs? The most popular types of Audio Machine Learning jobs are:
What states have the most Freelance Audio Machine Learning jobs? States with the most job openings for Freelance Audio Machine Learning jobs include:
What job categories do people searching Freelance Audio Machine Learning jobs look for? The top searched job categories for Freelance Audio Machine Learning jobs are:
Freelance Audio Machine Learning jobs near you

Machine Learning Engineer - Edge

GN Group

Dover, NH • On-site

$86K - $135K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago

Job description

Machine Learning Engineer - Edge
*Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell, MA.
Turn up the volume on your career as Cloud AI/ML Engineer
GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and driven by innovation, we deliver technology that enhances the senses of hearing and sight.
We help people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses, and provide great experiences for audio and gaming enthusiasts.
The team you will be part of
You will be joining our team focused on developing the Jabra Perform and BlueParrott product lines to advance solutions for frontline workers.
As part of the team, you will design and deploy on device machine learning models that power speech enhancement, augmented hearing, and real-time environmental awareness. You will train, fine-tune, and compress models to run efficiently on resource-constrained edge hardware without compromising accuracy or performance.
You will bridge the gap between software and hardware; collaborating closely with hardware engineers to ensure AI models are well integrated into the device architecture. Your work will also include optimizing algorithms for low power environments and maintaining the software libraries, tools, and frameworks that enable modern edge AI development.
Your contribution is appreciated, and you will
  • Develop and optimize AI/ML models specifically designed for resource-constrained edge devices.
  • Collect, preprocess, and analyze large and complex datasets to train, fine-tune, and validate models.
  • Apply techniques such as model compression, quantization, pruning, and distillation to improve efficiency and runtime performance.
  • Ensure models perform reliably in real-world environments, meeting both functional and non-functional requirements.
  • Collaborate closely with hardware engineers and other cross-functional teams to align AI/ML solutions with device architecture and system constraints.
  • Develop effective working relationships with technical experts, stakeholders, and leaders across the organization.
  • Identify, communicate, and manage technical risks throughout the project lifecycle.

Sounds good so far? To perform well in this role, we expect you to have
  • 2+ years of experience developing machine learning solutions, including work in audio and speech processing.
  • Proficient in programming with C, C++, and Python.
  • Experience with machine learning frameworks such as TensorFlow Lite, PyTorch, or comparable edge-focused toolchains.
  • Solid theoretical and practical understanding of ML architecture design, training, evaluation, and deployment workflows.
  • Understanding of model compression, quantization, and other optimization techniques for resource constrained edge devices.
  • Experience with embedded systems and hardware platforms.
  • Fundamentals of audio and speech signal processing.

Pay Transparency Notice
  • Depending on your work location, the target annual salary for this position can range from $86,000.00 to $135,000.00. In addition, you may be eligible for a discretionary bonus.
  • Compensation for roles at GN depends on a wide array of factors including but not limited to location, role, skill set, and level of experience.
  • To remain competitive, GN offers a competitive benefits package, including annual bonuses, health insurance, a 401(k) plan, paid time off and paid holidays.

We encourage you to apply
Even if you do not match all the above-mentioned skills, we will gladly receive your application if you think you have transferable skills. We greatly appreciate a mindset and motivation that aligns with our core values, helping both you and your team to thrive within the GN organization.
We are focused on an inclusive recruitment process
All applicants will receive equal consideration for employment.
Disability Accommodation
If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail careers.us@gn.com. This email is provided for the purpose of supporting applicants who have a disability that prevents them from being able to apply online. Only emails received for this purpose will be returned. Emails left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.
Join us in bringing people closer
GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and motivated by innovation, we deliver technology that enhances the senses of hearing and sight. We enable people with hearing loss overcome real-life problems, improve communication and collaboration for businesses, and provide great experiences for audio and gaming users.
GN Store Nord A/S has entered into a definitive agreement for the sale of GN's Hearing business to Amplifon S.p.A. to create a global leader in audiology. For GN Group, this creates an opportunity to expand our position in the large audio and video peripherals markets. Read more about the announcement here.
We hope you will join us on this journey and look forward to receiving your application.
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