David Grangier
Machine Learning Group, Apple Research · Apple
At a glance. David Grangier is listed as Machine Learning Group, Apple Research at Apple. The profile sits among the builders and open-source contributors. Fields listed: Language models and Training systems. The source lists 1 official page.
Summary
Machine learning researcher at Apple; co-author of the fairseq sequence modeling toolkit.
Known for: fairseq; Pretraining with hierarchical memories: separating long-tail and common knowledge.
Works at
- Apple 27 people in the wiki
Other documented roles
Not confirmed as current in the source profile.
- Machine learning research (from 2018), Google Brain
- Machine learning research (2014–2018), Facebook AI Research
- Machine learning research (2012–2014), Microsoft Research
- Machine learning research (2008–2011), NEC Labs
Related people
- Ruoming PangAlso at Apple
- Hsiao-Wuen HonAlso at Apple
- Ahmad Al-DahleAlso at Apple
- Carlos GuestrinAlso at Apple
- Kai-Fu LeeAlso at Apple
- Jakub PachockiLanguage models · Training systems
- Mika SenghaasTraining systems · Language models
- Sami JaghouarTraining systems · Language models
- Jeff DeanTraining systems · Language models
- Stas BekmanTraining systems · Language models
Source and corrections
Read the full profile on USASI ↗
Facts on this page come from that USASI profile (reviewed Oct 21, 2026); data last checked Oct 23, 2026. See something wrong? Suggest a correction.