David Grangier
Machine Learning Researcher at Apple
Mountain View, California, United States
Summary
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Rockstar🎓
Top SchoolDavid Grangier is a machine learning researcher with 11 years of industrial experience designing scalable algorithms for ranking, language modeling and machine translation, currently at Apple’s Machine Learning Group in Mountain View. He has led research efforts at Google Brain and FAIR, bridging principled ML research with deployable solutions across sequential problems such as translation and low-level audio processing. His work spans dataset and curriculum design to improve generalization, active learning systems, and structured prediction—skills honed through roles at Microsoft Research, AT&T Labs and NEC Labs. Trained with a PhD in machine learning from EPFL and a background in telecommunications and computer science, he combines deep theoretical insight with a track record of production-focused research. Notably, he repeatedly targets core, recurring ML problems within large organizations to produce generic, deployable fixes rather than one-off models.
11 years of coding experience
19 years of employment as a software developer
Bachelor, Telecommunications Engineering, Bachelor, Telecommunications Engineering at Telecom BretagneM. Sc, Computer Science, M. Sc, Computer Science at Université Côte d'AzurM. Sc., Computer Science, M. Sc., Computer Science at EURECOMPhD, Machine Learning, PhD, Machine Learning at EPFL (École polytechnique fédérale de Lausanne)
English, French
Github Skills (21)
infobox10
python8
gpu8
machine-learning8
text-generation7
numpy7
libtorch7
deep-learning7
sequence-to-sequence6
gpu-acceleration6
neural-network6
tensor6
autograd5
algorithms5
ai4
Programming languages (3)
Github contributions (5)
DavidGrangier/svmsparse
Mar 2016 - Aug 2016
Contributions:16 pushes, 1 branch in 5 months
DavidGrangier/wikipedia-biography-dataset
Sep 2016 - Sep 2016
This dataset gathers 728,321 biographies from wikipedia. It aims at evaluating text generation algorithms. For each article, we provide the first paragraph and the infobox (both tokenized).
Contributions:2 releases, 12 commits, 11 pushes in 10 days
infoboxtext-generation
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