Edge AI Compression Engineer (Quantization & Distillation)

tether is seeking an AI Researcher to drive innovation in model compression for multimodal systems, focusing on efficient deployment and reduced computational costs. The role involves implementing techniques like quantization and pruning to enhance model efficiency while preserving accuracy.

The ideal candidate holds a degree in Computer Science (PhD preferred) with extensive experience in AI R&D. Responsibilities include developing models that operate efficiently on edge devices, contributing significantly to AI research through publishing in top-tier conferences.