Audio Machine Learning Engineer

Job Summary

Designing and deploying real-time acoustic detection systems, the remote Audio Machine Learning Engineer will focus on sound-based situational awareness, taking end-to-end ownership from audio signal processing to ML model development and optimization for edge devices.

Key responsibilities

• Develop and optimize machine learning models for audio signal processing
• Deploy systems on edge devices to ensure reliable performance in complex environments
• Manage the entire lifecycle of acoustic detection projects from conception to implementation

Required qualifications

• Strong experience in audio signal processing
• Proficient in machine learning techniques for audio applications
• Experience with edge AI deployment
• Strong programming skills in Python
• Ability to work in complex and noisy environments