Machine Learning Engineer (Edge)

TL;DR

Machine Learning Engineer (Edge): Desihirify.globaling and deploying on-device ML models for audio and speech enhancement with an accent on model compression, quantization, and hardware integration. Focus on optimizing algorithms for resource-constrained edge hardware to power real-time environmental awareness and augmented hearing solutions.

Location: Must reside within a commutable distance of Dover, NH, or Lowell, MA (Hybrid role)

Salary: $86,000–$135,000

Company

hirify.global provides advanced intelligent hearing, audio, video, and gaming solutions desihirify.globaled to enhance human senses and improve communication.

What you will do

• Develop and optimize AI/ML models for resource-constrained edge devices.
• Collect, preprocess, and analyze complex datasets for model training and validation.
• Apply model compression, quantization, pruning, and distillation techniques to improve runtime performance.
• Collaborate with hardware engineers to integrate AI solutions into device architecture.
• Ensure model reliability and performance in real-world environments.
• Manage technical risks throughout the project lifecycle.

Requirements

• 2+ years of experience in machine learning, specifically in audio and speech processing.
• Proficiency in C, C++, and Python.
• Experience with edge-focused frameworks like TensorFlow Lite or PyTorch.
• Understanding of ML architecture desihirify.global, training, and deployment workflows.
• Knowledge of model optimization techniques for edge hardware.
• Experience with embedded systems and hardware platforms.

Culture & Benefits

• Competitive annual salary with discretionary bonus eligibility.
• Comprehensive benefits package including health insurance and 401(k) plan.
• Paid time off and paid holidays.
• Focus on innovation and inclusive recruitment practices.