Summary
Pierre Fernandez is a Research Scientist at Meta FAIR in Paris focusing on AI security and safety, with a specialization in invisible watermarking for generative models. He developed the invisible watermarking algorithms behind the Seamless and Audiobox demos (≈100k daily users) and a production pipeline that tags Meta's generative image model (≈1M images/day) used for Instagram moderation. A first author in ICCV, ICASSP, ICML and ICLR, he completed a PhD collaboration between Meta/FAIR Paris and Inria after training at École Polytechnique, École des Ponts and Université Paris-Saclay (MVA). With six years of experience, he bridges theoretical rigor and production engineering to ship safety-critical ML features at scale. His background includes military officer training, which informs a pragmatic, disciplined approach to deploying robust systems.
7 years of coding experience
X2017, X2017 at Ecole Polytechnique
Mathematics and Computer Science Engineering, Mathematics and Computer Science Engineering at École des Ponts ParisTech
MVA (Masters), MVA (Masters) at Université Paris-Saclay
PhD, PhD at University of Rennes 1
Baccalauréat et Classes préparatoires, Baccalauréat et Classes préparatoires at Collège Stanislas Paris
Spanish, French, English