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Remote Audio Signal Processing Machine Learning Jobs

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

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 Hearing

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 ...

The Pennsylvania State University

$109K - $191K/yr

For additional information on remote work at Penn State, seeNotice to Out of State Applicants. POSITION SPECIFICS We are searching for a motivated and talented Signal Processing Research and ...

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical ... audio analysis, melody generation, and process automation. • Uphold ethical AI practices ...

Lockheed Martin

AI/ML Engineer

Fort Worth, TX · On-site +1

... machine learning. • Strong background in signal processing theory and application (radar ... Remote work arrangements may also be considered for qualified candidates. #LMLAIC Qualifications ...

Lockheed Martin

Senior AI Engineer

Fort Worth, TX · On-site +1

$117K - $154K/yr

... machine learning. • Strong background in signal processing theory and application (radar ... Remote work arrangements may also be considered for qualified candidates. #LMLAIC Qualifications ...

Lockheed Martin

Senior AI Engineer

Fort Worth, TX · On-site +1

$117K - $154K/yr

... machine learning. • Strong background in signal processing theory and application (radar ... Remote work arrangements may also be considered for qualified candidates. #LMLAIC Qualifications ...

Lockheed Martin

AI RF Engineer

Fort Worth, TX · On-site +1

... machine learning. • Strong background in signal processing theory and application (radar ... Remote work arrangements may also be considered for qualified candidates. #LMLAIC Qualifications ...

Lockheed Martin

AI EW Engineer

Fort Worth, TX · On-site +1

... machine learning. • Strong background in signal processing theory and application (radar ... Remote work arrangements may also be considered for qualified candidates. #LMLAIC Qualifications ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Develop signal-processing and image-analysis algorithms using classical methods as well as modern ...

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All JobsRemote Audio Signal Processing Machine Learning Jobs

Remote Audio Signal Processing Machine Learning information

See salary details

$29.5K

$84.5K

$171.5K

How much do remote audio signal processing machine learning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote audio signal processing machine learning in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

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

AspectRemote Audio Signal Processing Machine LearningRemote Audio Engineering
Required CredentialsKnowledge of machine learning, signal processing, programming (Python, MATLAB)Audio engineering certifications, audio production experience
Work EnvironmentResearch labs, tech companies, remote collaborationRecording studios, broadcast companies, remote or onsite
Industry UsageDeveloping algorithms for audio enhancement, noise reduction, speech recognitionMixing, mastering, live sound, audio content creation

Remote Audio Signal Processing Machine Learning focuses on developing algorithms using machine learning techniques to improve audio quality and analysis. In contrast, Remote Audio Engineering involves practical audio production, mixing, and recording tasks. Both roles require audio knowledge, but the former emphasizes programming and data science, while the latter centers on sound quality and production skills.

More about Remote Audio Signal Processing Machine Learning jobs
What cities are hiring for Remote Audio Signal Processing Machine Learning jobs? Cities with the most Remote Audio Signal Processing Machine Learning job openings:
What are the most commonly searched types of Audio Signal Processing Machine Learning jobs? The most popular types of Audio Signal Processing Machine Learning jobs are:
What states have the most Remote Audio Signal Processing Machine Learning jobs? States with the most job openings for Remote Audio Signal Processing Machine Learning jobs include:
What job categories do people searching Remote Audio Signal Processing Machine Learning jobs look for? The top searched job categories for Remote Audio Signal Processing Machine Learning jobs are:
Remote Audio Signal Processing Machine Learning jobs near you
Infographic showing various Remote Audio Signal Processing Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Machine Learning Engineer - Edge

GN Group

Dover, NH • On-site, Remote

$86K - $135K/yr

Other

Medical, Retirement, PTO

Posted 22 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.
#LI-GNGroup

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