Embedded ML Engineer - Real-Hardware Model Optimization

UNIVERSIDAD POLITECNICA DE MADRID seeks a dedicated individual to design and optimize models for embedded devices. Key responsibilities include training models, ensuring performance on hardware, and enhancing efficiency through techniques like quantization and pruning.

This full-time position requires an undergraduate education in Engineering, aimed at individuals with a passion for optimizing technology. The role is permanent and offers a starting date of May 20, 2026.