AI Deployment of a Bone-Conducted Speech Enhancement solution
Core
Optimizing and deploying an AI speech enhancement pipeline for a prototype bone-conduction earbud to run in real-time on embedded hardware.
Role type
Embedded AI Engineer (Intern)
Builds
Real-time speech enhancement firmware for wearable bone-conduction devices
Domain
Consumer electronics / Embedded AI / TinyML
Deliverable
production ML models
Required skills
C programming, Python, digital signal processing, neural networks, embedded firmware development, STM32 microcontrollers, model quantization, real-time inference optimization
Preferred skills
Experience with STM32, familiarity with model optimization
Technologies
STM32 MCU, C, Python
Responsibilities
Port full AI pipeline from preprocessing to inference on MCU, write firmware for real-time embedded implementation, optimize code and models for memory/latency constraints, validate prototype performance on earbud platform
Seniority
Intern
