Raul Sampedro

Staff Machine Learning Engineer at ICON

Raul Sampedro has extensive work experience in the field of software engineering and artificial intelligence. Raul is currently working at ICON as a Machine Learning specialist since 2023. Prior to that, they worked at Everyday Robots, X, Alphabet as a Staff Software Engineer from 2022 to 2023, focusing on the development and improvement of robot applications. Before that, they were a Member of Technical Staff at OpenAI from 2019 to 2021, where they worked on controls, drivers, simulations, and systems development for a reinforcement learning platform.

Earlier in their career, Raul worked as an Early Stage Startup - Founding Team Software Engineer at Nines from 2017 to 2019, developing core systems and applications for ML integration into the Healthcare IT environment. Raul also served as a Director of Software Engineering at Anki in 2017, supervising multiple engineering teams and collaborating with production on development processes.

Furthermore, Raul has experience in the gaming industry, having worked as an Artificial Intelligence Engineer at 2K Games from 2011 to 2013 and at LucasArts from 2008 to 2010. Additionally, they served as a Gameplay MMO Programmer at Pyro Studios in 2007 and as an Integration Engineer at Electronic Arts in the same year. Their earliest work experience was as an AI and Gameplay Engineer at Silicon Garage Arts from 2006 to 2007.

Overall, Raul Sampedro has a diverse background in software engineering, with a focus on machine learning, robotics, and AI.

Raul Sampedro completed their Master of Science (MS) in Computer Science from Universidad Carlos III de Madrid, where they studied from 2000 to 2008. In 2004, they also took a Videogame Development course at Universidad Complutense de Madrid. Additionally, Raul has attained various certifications in recent years, including a Natural Language Processing with Attention Models from Coursera in May 2023, a Reinforcement Learning Specialization from the University of Alberta & AMII on Coursera in February 2023, a Robotics Software Engineer Nanodegree from Udacity in April 2022, a Blockchain Developer Nanodegree from Udacity in March 2022, a Deep Learning Nanodegree from Udacity in May 2021, and Machine Learning by Stanford University on Coursera in February 2020.

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Timeline

  • Staff Machine Learning Engineer

    June, 2023 - present

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