At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on G…

At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on G…

Your Impact

We are looking for a Senior Site Reliability Engineer to join our SRE team dedicated to platform reliability within Platform Engineering.

Your mission will be to ensure Doctolib's platform remains reliable, scalable, and resilient at a European scale across infrastructure, observability, and…

Your Impact

We are looking for a Staff Site Reliability Engineer to join our SRE team dedicated to platform reliability within Platform Engineering.

Your mission will be to act as a technical leader driving Doctolib's reliability and scalability at a European scale, ensuring our platform remains reliabl…

Your Impact

We are looking for an Engineering Manager to lead an SRE team dedicated to platform reliability and observability within Platform Engineering.

Your mission will be to grow and lead a team of Site Reliability Engineers, ensuring Doctolib's platform remains reliable, scalable, and resilient at…

Your Impact

We are looking for a Senior Site Reliability Engineer to join the Core Reliability & Observability team in Platform Engineering.

Your mission will be to shape Doctolib's observability strategy and ensure our platform remains reliable, debuggable, and scalable at a European scale. You will work…

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

About the Ro…

We are seeking experienced ML engineersto optimize and deploy machine learning models on heterogeneous embedded computing platforms. You will work at the intersection of machine learning, compilers, runtime systems, and computer architecture, helping bridge the gap between models developed by researc…