Machine Learning Researcher – Edge & Efficient AI
Core
Research, design, and deploy deep learning models optimized for resource-constrained Apple silicon edge devices.
Role type
Senior IC machine learning researcher (edge AI)
Builds
Production ML models for on-device inference on Apple silicon
Domain
Consumer electronics / Edge AI / Deep Learning
Deliverable
production ML models
Required skills
deep learning theory, Python, PyTorch/TensorFlow/JAX, multimodal data processing, model compression (quantization, pruning, distillation), on-device inference frameworks (Core ML, TensorFlow Lite, ONNX Runtime, TensorRT), model optimization for resource constraints
Preferred skills
embedded systems deployment, hardware-aware neural architecture search (NAS), low-level optimization (mixed-precision, operator fusion), Apple Neural Engine experience, MLOps workflows
Technologies
PyTorch, TensorFlow, JAX, Core ML, TensorFlow Lite, ONNX Runtime, TensorRT
