Maha Elbayad
AI Research Scientist at Meta
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMaha Elbayad is an AI Research Scientist at Meta AI (FAIR) with 11 years of experience building massively multilingual machine translation models and applied research systems. She holds a PhD in Mathematics and Computer Science from Université Grenoble Alpes and elite training from École Normale Supérieure and CentraleSupélec, combining deep theoretical foundations with practical ML engineering. Her trajectory includes postdoctoral and internship roles at Facebook AI, where she transitioned impactful research into production-scale multilingual models. Known for cross-modal and metric-learning work from earlier roles, she brings a rare blend of strong mathematical rigour and hands-on large-scale model development. Based in San Francisco, she thrives at the intersection of research and deployment, often bridging academic collaborations with industrial ML challenges.
11 years of coding experience
5 years of employment as a software developer
Master’s Degree, Mathematics and Computer Science, Mention très bien (with highest honours), Master’s Degree, Mathematics and Computer Science, Mention très bien (with highest honours) at École Normale Supérieure Paris-SaclayDoctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at Université Grenoble AlpesClasses préaparatoires MP*, Mathématiques & physiques, Classes préaparatoires MP*, Mathématiques & physiques at CPGE Moulay Youssef, RabatMPSI, MPSI at CPGE Reda Slaoui, AgadirMaster of Science, Applied mathematics, Engineering, Master of Science, Applied mathematics, Engineering at CentraleSupelec
French, Arabic, English
Github Skills (24)
dataset-generation10
pytorch10
artificial-intelligence10
python10
machine-learning10
facebook10
mining10
conformer10
natural-language-processing10
ctc10
sequence-to-sequence10
prediction10
nlp10
sequence10
transformer-architecture10
Programming languages (5)
Github contributions (5)
elbayadm/attn2d
May 2020 - May 2021
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
Contributions:17 commits, 2 PRs, 29 pushes in 1 year
pytorchsequencesequence-predictionpredictiondeep-learning
elbayadm/seq2seq
Mar 2018 - May 2018
Contributions:55 commits, 43 pushes, 5 branches in 2 months
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