Philipp Schmid
Also known as Hugging Face, AI engineering
Philipp Schmid is a Staff Engineer in developer experience and developer relations at Google DeepMind. He moved there in 2025. Before that, he led technical work and cloud partnerships at Hugging Face. AWS named him a Machine Learning Hero in June 2021 and described his public writing on deploying natural language models. His shared work on training containers and his 2024 fine-tuning tutorial give concrete examples of this teaching practice. He now writes about building with models including Gemini and Gemma across cloud and on-device systems. His public relevance comes from connecting AI methods with deployment and developer workflows. His worked guides connect a defined use case with model adaptation, training, evaluation, and the infrastructure needed for deployment.
- Now at
- Google DeepMind
Timeline
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Earlier engineering work
Building cloud and AI systems
Schmid has worked for years on cloud-based AI systems across industries. He made model deployment and practical access recurring topics in his writing.
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June 2021
An AWS Machine Learning Hero
AWS named Schmid a Machine Learning Hero in June 2021. At the time, he was a Hugging Face machine learning and technical lead. His public technical blog covered deploying natural language models.
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Hugging Face years
Connecting models with cloud platforms
Schmid led technical partnerships at Hugging Face. He coauthored an AWS article about deep learning containers for model training on SageMaker. His work with collaborators links model libraries with infrastructure used by developers.
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January 2024
A worked fine-tuning guide
His 2024 fine-tuning tutorial walked through adapting language models using Hugging Face tools. It described the task, development environment, data, training, and evaluation.
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2025
Joining Google DeepMind
He moved to Google DeepMind in 2025. He is a Staff Engineer building developer experience and developer relations work.
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Current public role
Helping developers build with models
Schmid’s current site covers Gemini, Gemma, deployment, and other AI engineering topics. His role spans cloud and on-device systems, and his tutorials form part of his public technical work.
Sources and credits
Photo: Philipp Schmid / GitHub profile. License: Not stated by source. Source: github.com. Cropped to a square and resized. Ask us to remove or replace this photo.