Jose Sanchez is a Staff Machine Learning Engineer with 13 years of experience building production-ready recommendation systems and ML infrastructure, currently advancing neural recommender models at Roku from his base in Los Gatos. He combines research-led experimentation—evident from his prior work at Zalando where he improved CTR and conversion with RNN-based personalization—with hands-on engineering skills in TensorFlow, AWS, microservices and data pipelines. Throughout his career he has delivered end-to-end solutions, from automated training/evaluation/deployment systems to anomaly detection and scalable back-end services. A former academic researcher and co-author on linked data consumption, he brings a disciplined, data-driven approach to real-world product problems and a knack for turning prototypes into reliable, high-impact systems.
13 years of coding experience
10 years of employment as a software developer
Ingeniero en Computación Cum Laude Computer science, Ingeniero en Computación Cum Laude Computer science at Universidad Simón Bolívar
Exchange courses Informatics, Exchange courses Informatics at Universidad de Granada
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