Summary
Moritz Laurer is a Machine Learning Engineer and Member of Technical Staff at Cohere with seven years of experience building and deploying LLM- and VLM-powered solutions across industries. Previously at Hugging Face and as a PhD researcher at VU Amsterdam, he developed instruction-based classifiers and fine-tuned models that have been downloaded over 100 million times from the Hugging Face Hub. He spans the full ML lifecycle—use-case definition, data annotation, fine-tuning, evaluation, deployment and inference optimization—and has applied those skills in finance, health, manufacturing, media, retail and the public sector. His academic work demonstrated how instruction-based models can boost validity and data efficiency, and he has a track record of open-sourcing practical models and datasets that bridge research and production. Based in Paris, he combines rigorous research training with hands-on applied ML engineering and policy-oriented experience from European institutions.
7 years of coding experience
6 years of employment as a software developer
Double Master's degree, 1,2, Double Master's degree, 1,2 at Freie Universität Berlin
Double Master's degree, Cum Laude, Double Master's degree, Cum Laude at Sciences Po
Washington Semester Program, Foreign Policy, A, Washington Semester Program, Foreign Policy, A at American University
PhD, PhD at Vrije Universiteit Amsterdam (VU Amsterdam)
Bachelor's degree, SOCIAL SCIENCES, 1.5 (among best 5%), Bachelor's degree, SOCIAL SCIENCES, 1.5 (among best 5%) at Universität Augsburg
German, English, French