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Entry Level Edge Ai Machine Learning Jobs (NOW HIRING)

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 ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

Corning

AI/Machine Learning Engineer

Wilmington, NC · On-site

$82K - $112K/yr

Develop and implement AI/ML data science methodologies and AI Products that align with business objectives. * Apply data science techniques, such as machine learning, statistical modeling, and ...

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 ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

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 ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

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 ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

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 ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

The Hartford

AI Machine Learning Engineer

Columbus, OH · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

The Hartford

AI Machine Learning Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

The Hartford

AI Machine Learning Engineer

Charlotte, NC · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

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Entry Level Edge Ai Machine Learning information

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How much do entry level edge ai machine learning jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for entry level edge ai machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

Is it entree or entry?

The correct term for the job level is 'entry' level, as in Entry Level Edge AI Machine Learning roles. These positions typically require minimal professional experience and focus on foundational skills in machine learning, AI, and programming tools like Python or TensorFlow. 'Entree' is a culinary term and not related to job levels or roles.

What is the synonym of entry?

In the context of an Entry Level Edge AI Machine Learning position, a synonym for 'entry' is 'initial' or 'beginner,' indicating a role suitable for those starting their careers with minimal experience. These roles often require foundational knowledge of machine learning concepts and basic programming skills, such as Python or TensorFlow.

Is it entry or entery?

The correct term for starting level positions, including Entry Level Edge AI Machine Learning roles, is 'entry' and not 'entery.' Employers typically look for basic skills in machine learning, programming, and AI tools for entry-level roles. Proper spelling ensures clear communication in your application materials.

What does entry mean?

In the context of an Entry Level Edge AI Machine Learning position, 'entry' typically refers to a role suitable for candidates with limited professional experience or recent graduates. It often involves foundational tasks, learning on the job, and may require basic knowledge of machine learning tools and programming languages like Python or TensorFlow.
More about Entry Level Edge Ai Machine Learning jobs
What cities are hiring for Entry Level Edge Ai Machine Learning jobs? Cities with the most Entry Level Edge Ai Machine Learning job openings:
What are the most commonly searched types of Edge Ai Machine Learning jobs? The most popular types of Edge Ai Machine Learning jobs are:
What job categories do people searching Entry Level Edge Ai Machine Learning jobs look for? The top searched job categories for Entry Level Edge Ai Machine Learning jobs are:
Entry Level Edge Ai Machine Learning jobs near you
Infographic showing various Entry Level Edge Ai Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Machine Learning Engineer - Edge

GN Group

Dover, NH • On-site, Remote

$86K - $135K/yr

Other

Medical, Retirement, PTO

Posted 17 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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