Summary
Clemens Marschner is a Principal Engineer based in Munich with 11 years of experience shaping large-scale machine learning and autonomy systems, now building the next generation of RobCo’s autonomous robots. He has driven core ML and mapping stacks for ridesharing and autonomous driving at Lyft and Lyft Level 5, led ML teams and interim management, and authored multiple patents in vehicle prediction and motion planning. Earlier work at Microsoft includes pioneering deep learning models for Bing relevance and contributing to CNTK, reflecting a blend of research rigor and production-grade engineering. Clemens holds a PhD in Computational Linguistics and has a strong background in NLP and large-corpus pattern matching, a less obvious thread that informs his data-driven approach to perception and planning. He combines hands-on model and system design with team-building experience across industry and academia, making him fluent at turning research into deployable autonomy solutions.
11 years of coding experience
5 years of employment as a software developer
Washington Semester Program International Business, Washington Semester Program International Business at American University
PhD Computational Linguistics, PhD Computational Linguistics at Ludwig-Maximilians-Universität München
English, French, Spanish, Polish, German