Summary
Amélie Royer is a Deep Learning research engineer with a decade of experience specializing in computer vision, currently contributing as Technical Staff at Kyutai after researching efficient neural architectures at Qualcomm. She holds a PhD in Machine Learning from IST Austria and has interned with Google Brain, blending rigorous academic foundations with industry-focused work on conditional computing, mixture-of-experts, multi-task learning, and quantization. Her background spans foundational research internships at Inria and IST Austria through to applied engineering roles, giving her fluency across the full research-to-production pipeline. Based in Paris, she maintains a public portfolio of projects and papers that reveal a propensity for turning theoretical ideas into reproducible code and practical vision systems.
10 years of coding experience
3 years of employment as a software developer
Mathematics, Mathematics at Lycée Georges Clémenceau (CPGE)
Master's degree, Computer Science and Mathematics, Master's degree, Computer Science and Mathematics at Université de Rennes I
Doctor of Philosophy, Machine Learning, Doctor of Philosophy, Machine Learning at Institute of Science and Technology Austria
Master's degree, Computer Science and Mathematics, Master's degree, Computer Science and Mathematics at École normale supérieure de Rennes
English, German, French