- Machine learning engineer, Hugging Face1
Ilyas Moutawwakil is a machine learning engineer at Hugging Face focused on optimization and hardware acceleration. He maintains Optimum and Optimum-Benchmark, co-authored Hugging Face's GPTQ integration and Open LLM Leaderboard v2 posts, and contributes to open tooling for quantized and accelerated inference.123
At a glance
- Current role
- Machine learning engineer
- Company
- Hugging Face
- Fields
- Developer tools, Language models, Evaluation
- Sources cited
- 3
- Profile reviewed
Accomplishments
Optimum and open LLM tooling
Hugging Face blog posts credit Moutawwakil on GPTQ quantization integration and Open LLM Leaderboard v2. His GitHub profile lists work across Optimum, Optimum-Benchmark, and related inference optimization libraries.123
Where they work
- Hugging Face 43 people in the wiki
Open roles at Hugging Face (6)
- Senior Open-Source Python Engineer, ML Developer Tools - US RemoteUnited States · RemotePosted Sep 21, 2026
- Senior Open-Source Python Engineer, ML Developer Tools - EMEA RemoteFrance · RemotePosted Sep 21, 2026
- Senior Machine Learning Engineer, Voice Agents - EMEA RemoteParis, Île-de-France, France · RemotePosted Sep 2, 2026
Related people
- Albert VillanovaAlso at Hugging Face
- Niklas MuennighoffAlso at Hugging Face
- Daniel van StrienAlso at Hugging Face
- Hugo LarcherAlso at Hugging Face
- Margaret MitchellAlso at Hugging Face
- Shyamal AnadkatEvaluation · Developer tools
- Emmanuel DupouxLanguage models · Evaluation and benchmarks
- Diogo AlmeidaLanguage models · Evaluation and benchmarks
- Atty EletiDeveloper tools · Language models
- Skyler MiaoLanguage models · Developer tools
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References
3 sources · profile reviewed Oct 24, 2026 · data updated Oct 24, 2026