Artificial intelligence
10 Hugging Face machine learning engineers
These ten current and former Hugging Face machine learning engineers have held machine learning engineer roles at the company, according to their profiles. A reader can learn what machine learning engineering at Hugging Face involves from people who have done it.
Professionals to explore
01—10Anton Lozhkov
LinkedInExperience: Machine Learning Engineer · Hugging Face
Machine Learning Engineer at Hugging Face since August 2021, based in Paris; the profile lists interests in few/zero-shot learning, transformer-based models and ML infrastructure. Former Senior Machine Learning Engineer at Embedika (2020–2021) and Senior Data Engineer at NAUMEN (2019–2020).
Carl Cochet
LinkedInExperience: Machine Learning Engineer · Hugging Face
Former Machine Learning Engineer at Hugging Face (2022–2023), based in Avrillé, France, in the Engineering and Technical department. Now Data Engineer at Invyo since February 2023, and former Data Scientist at Euranova (2020–2022), per the work history shown on the profile.
Harry Mellor
LinkedInExperience: Machine Learning Engineer · Hugging Face
Machine Learning Engineer at Hugging Face since January 2025, based in Bristol, and a Maintainer of vLLM since February 2025. The profile mentions building the Transformers modelling backend. Former Senior AI Engineer at Graphcore (2024) and AI Engineer at Graphcore (2022–2023).
Lewis Tunstall
LinkedInExperience: Machine Learning Engineer · Hugging Face
Machine Learning Engineer at Hugging Face since May 2021, based in Bern. The profile says he is a member of the research team focused on building tools and educational content for reinforcement learning from human feedback (RLHF). Former Senior Data Scientist at Swisscom (2020).
Morgan Funtowicz
LinkedInExperience: Machine Learning Engineer · Hugging Face
Machine Learning Engineer at Hugging Face since December 2019, based in Paris. The profile mentions open-source contributions to Microsoft's CNTK and Facebook's PyTorch. Former Research Engineer at NAVER LABS Corp. (2018–2019) and Junior Data Scientist at Ankama (2014–2015).
Nouamane Tazi
LinkedInExperience: Machine Learning Engineer · Hugging Face
Machine Learning Engineer at Hugging Face since October 2022, based in France, in the Engineering and Technical department; the profile headline says he works on training LLMs at Hugging Face. Former Software Engineer & Data Scientist Intern at Flashbrand Inc. (2020–2021).
Pablo Montalvo
LinkedInExperience: Machine Learning Engineer · Hugging Face
Machine Learning Engineer at Hugging Face since June 2023, based in Paris; the profile notes a PhD in physics. Former Lead Data Scientist at Rakuten France (2021–2023) and Research Scientist at Rakuten France (2018–2023), and Postdoctoral Research Scientist at Tainan Hydraulics Laboratory (2015–2016).
Régis Pierrard
LinkedInExperience: Machine Learning Engineer · Hugging Face
Machine Learning Engineer at Hugging Face since February 2022, based in Paris. The profile says he is part of the optimization team and a maintainer of Optimum, an open-source library. Former AI Engineer at AnotherBrain (2020–2022) and PhD student in Explainable Artificial Intelligence at CEA (2017–2020).
Simon Brandeis
LinkedInExperience: Machine Learning Engineer · Hugging Face
Machine Learning Engineer at Hugging Face since December 2020, based in France; the profile mentions building, deploying and maintaining AutoTrain and describes experience with ML applications and cloud infrastructure. Former Data Scientist at Sancare (2020) and Python Software Engineer at Arch Systems (2019).
Tom Aarsen
LinkedInExperience: Machine Learning Engineer · Hugging Face
Machine Learning Engineer at Hugging Face since November 2023 and Hugging Face Fellow since July 2023, based in the Netherlands. Former Machine Learning Engineer at Argilla (2023) and Data Scientist at Squadra Machine Learning Company (2022), per the work history shown on the profile.
Choose the right perspective
Match the person's library or team, such as optimization, model training, embeddings or AutoTrain, to your question, and check whether they are still at Hugging Face. Their earlier employers can also help you find someone who has worked with hardware or data like yours.
Questions to take into the conversation
- 01How do machine learning engineers at Hugging Face decide which models and features an open-source library should support?
- 02What tradeoffs come up when optimizing transformer models for different hardware accelerators?
- 03What should a team know before training or fine-tuning a large language model with open-source tooling?
Reaching Hugging Face machine learning engineers
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About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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