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 View email address on click.appcast.io . 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. We hope you will join us on this journey and look forward to receiving your application. #J-18808-Ljbffr Dormont Manufacturing Co