Amir Mohtashami is a research scientist with 11 years of engineering and research experience, currently at Google DeepMind after a PhD at EPFL where he advanced foundations of large models. His work centers on extending inference to effectively infinite context lengths, multimodal/multi-speaker input handling, and strengthening reasoning and optimizer stability for faster, more reliable training. He has translated research into practice through internships and roles at Google and quantitative experience at D. E. Shaw, and has a track record in speech systems, neural architecture search, and applying second-order optimizers. Known for bridging theoretical insight with engineering, he often focuses on why current optimizers succeed or fail to design better alternatives. Based in Zurich, he brings deep academic rigor paired with hands-on system-building across industry and academia.
11 years of coding experience
4 years of employment as a software developer
High School, Mathemtics & Physics, High School, Mathemtics & Physics at Tehran Allameh Helli 1
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at EPFL (École polytechnique fédérale de Lausanne)
Bachelor’s Degree, Computer Software Engineering, 19.19/20, Bachelor’s Degree, Computer Software Engineering, 19.19/20 at Sharif University of Technology
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Amir Mohtashami - Research Scientist at Google DeepMind