Machine Learning Engineer – Edge

GN Group

Developing AI/ML models for edge devices to enhance audio and speech processing. Joining an innovative team focused on advanced hearing and gaming technology at GN.

Posted 4/30/2026full-timeDover • Massachusetts, New Hampshire • 🇺🇸 United StatesJuniorMid-Level💰 $86,000 - $135,000 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Develop and optimize AI/ML models for resource-constrained edge devices
Collect, preprocess, and analyze datasets to train and validate models
Apply model compression, quantization, and pruning techniques
Ensure models perform reliably in real-world environments
Collaborate closely with hardware engineers on AI model integration
Identify and manage technical risks throughout the project

Requirements

What you’ll need

2+ years of experience developing machine learning solutions
Proficient in programming with C, C++, and Python
Experience with machine learning frameworks (TensorFlow Lite, PyTorch, etc.)
Understanding of model compression, quantization, and optimization techniques for edge devices
Fundamentals of audio and speech signal processing
Experience with embedded systems and hardware platforms

Benefits

Comp & perks

Health insurance
401(k) plan
Paid time off
Paid holidays
Discretionary bonus

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningAI modelsmodel compressionquantizationpruning techniquesCC++PythonTensorFlow LitePyTorch

Soft Skills

collaborationrisk management