Philipp Schmid

Career

Philipp Schmid worked at Hugging Face as a Technical Lead, heading collaborations with cloud providers such as AWS, Google Cloud, Azure and Cloudflare and serving as technical and engineering lead for key cloud and hardware partnerships. Schmid's about page says that work included creating Hugging Face Inference Endpoints and collaborating with the open-source and science teams on projects such as Zephyr, SmolLM and StarCoder.¹

Schmid joined Google DeepMind in 2025 to build a developer relations and developer experience team that brings the lab's research to developers, working across open models and foundation models such as Gemini and Gemma.¹²

Open-source work

Schmid's projects page lists Hugging Face Inference Endpoints (creator and technical lead), the Hugging Face LLM Inference Container (technical and engineering lead), and IGEL, an instruction-tuned German language model from early 2023 (creator). Schmid maintained the SageMaker Hugging Face Inference Toolkit and the EasyLLM library, and contributed to Transformers, Datasets, Optimum and TRL.⁵

Schmid is also listed among the authors in the citation entry of Hugging Face's Accelerate library, which runs PyTorch training in distributed and mixed-precision settings.³

Teaching and writing

Schmid publishes tutorials and guides on philschmid.de. Recent posts in 2026 cover building with the Gemini API, including the Interactions API, Gemini Managed Agents, Deep Research and computer-use agents, along with essays on agent evaluation and subagent patterns.⁴

Work and contributions

• Hugging Face Inference Endpoints Proprietary product

  Schmid's about page says Schmid served as technical and engineering lead for Hugging Face's key cloud partnerships and helped create solutions such as Hugging Face Inference Endpoints to simplify deploying large language models.¹

• Accelerate Open-source code

  Listed among the authors in the citation entry of the Accelerate README (2022); the Apache-2.0 library runs PyTorch training loops in distributed and mixed-precision setups.³

Timeline

1. 2021Recognized as an AWS Machine Learning Hero.¹
2. 2022Listed among the authors of the Hugging Face Accelerate library citation.³
3. 2023Created IGEL, an instruction-based German language model.⁵
4. 2025Joined Google DeepMind to build an AI developer relations and developer experience team.¹²
5. May 26, 2026Published a developer guide to Gemini Managed Agents.⁴

Other documented roles

Roles the sources document that are not confirmed as current.

• Technical Lead, Hugging Face¹²

Honors and recognition

• AWS Machine Learning Hero · Amazon Web Services, 2021¹

Where they work

• Google DeepMind 64 people in the wiki

Related people

• Logan KilpatrickAlso at Google DeepMind
• Shimon WhitesonAlso at Google DeepMind
• Neel NandaAlso at Google DeepMind
• Zhuohan LiAlso at Google DeepMind
• Omar SansevieroAlso at Google DeepMind
• Aldehir RojasInference and serving · Agents
• Dane KnechtInference and serving · Agents
• Olivier ChafikDeveloper tools · Agents
• Radoslav GerganovInference and serving · Developer tools
• Yagil BurowskiInference and serving · Developer tools