Mark Pfeiffer
About Mark Pfeiffer
Mark Pfeiffer is an Engineering Manager at Scale AI, where he leads the development of the Scale Nucleus dataset management tool for machine learning. He has a strong academic background in Mechanical Engineering and extensive experience in research and engineering roles across various organizations in Switzerland and Germany.
Work at ScaleAI
Mark Pfeiffer has been serving as an Engineering Manager at Scale AI since 2021. In this role, he leads the development of Scale Nucleus, a dataset management tool designed for machine learning applications. He has been instrumental in managing the Scale Nucleus project since its inception in November 2021, overseeing its progression and ensuring its alignment with the company's objectives.
Previous Experience
Prior to his current role, Mark Pfeiffer held various positions in the technology and engineering sectors. He worked as a Machine Intelligence Engineer at Merantix from 2018 to 2019. He also served as CTO and Co-Founder of SiaSearch from 2019 to 2021. His earlier experience includes multiple roles at ETH Zurich, where he worked as a Research Assistant and Teaching Assistant, contributing to academic projects and mentoring students.
Education and Expertise
Mark Pfeiffer has a strong educational background in Mechanical Engineering from ETH Zurich, where he achieved a Bachelor of Science (BS), a Master of Science (MS), and a Doctorate (Dr sc. ETH Zurich) in Robotics. He also studied at the University of California, Berkeley, as a Visiting Student Researcher in 2014. His extensive academic training supports his expertise in engineering and machine learning.
Board Membership at HackZurich
From 2015 to 2016, Mark Pfeiffer served as a Board Member at HackZurich, a prominent hackathon event in Switzerland. His involvement in this role contributed to the organization and promotion of innovation within the tech community in Zürich und Umgebung.
Internship Experience
Mark Pfeiffer completed a two-month internship at Paul Kauth KG in 2009, gaining early experience in the engineering field. This internship provided him with foundational skills and insights into the practical applications of engineering principles.