Embedded Audio ML Engineer Co-op
Core
Deploy and optimize deep learning algorithms for resource-constrained audio devices like wearables, headphones, and earbuds.
Role type
Embedded Audio ML Engineer Co-op
Builds
ML-powered audio features on consumer audio devices
Domain
Consumer audio hardware and embedded systems
Deliverable
production ML models
Required skills
C/C++ for embedded systems, Python, deep neural networks (PyTorch/TensorFlow), model optimization (quantization, pruning, NAS, knowledge distillation), neural network hardware accelerator evaluation
Preferred skills
Edge device deployment (MCU/DSP/NPU), audio deep learning, digital signal processing
Responsibilities
Build embedded software prototypes for ML audio features, design and implement deep learning models on resource-constrained devices, research efficient deep learning methods, train and evaluate models for consumer audio devices, evaluate neural network hardware accelerators for low-power wearables
Seniority
Co-op (M.S./Ph.D. student)
