Maximilian Mozes is a research-driven engineering leader with 11 years of experience, currently leading Cohere’s Post-Training team after progressing through research scientist roles there. A PhD candidate in Security Science at UCL, he focuses on natural language processing and adversarial machine learning, blending rigorous academic research with product-facing ML deployment. His background spans top research labs and industry internships—Google, Spotify, Tilburg University and university teaching—giving him depth in both experimentation and operational systems. Based in London, he is known for bridging adversarial robustness research with practical post-training interventions that improve model safety and reliability.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Technical University of Munich
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