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README.md

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-title: README
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+title: Hugging Face Machine Learning Optimization Team
+emoji: 🤗
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+short_description: Hugging Face ML Opt Team Page
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-Edit this `README.md` markdown file to author your organization card.
+# Hugging Face Machine Learning Optimizations Team
+
+## About Hugging Face's mission
+
+Our mission is to democratize good machine learning.
+
+We want to build the platform for AI builder empowering all the communities towards building collaborative technologies.
+
+Hugging Face is a decentralized, highly impact-oriented, autonomous-driven company.
+
+## What does it mean to be part of the Machine Learning Optimization Team at Hugging Face?
+
+Being part of the Machine Learning Optimization Team usually involves new hire to jump into a program with one (or multiple) partner(s) as its main project, supporting Hugging Face overall monetization strategy.
+
+There is no real definition of what projects look like, every partner have different maturity, targets and scopes. 
+We kind of surf over what we observe from a community and Hugging Face products usages to drive the features development with our partners.
+
+While most of the work will usually happen for a partner, we also encourage members of the team to have some time to work on personal project they think would be relevant towards driving more revenues for Hugging Face.
+
+Last but not least, while belonging to the monetization side of the company, we are very central and open-source builders. There are many opportunities to collaborate with other teams and projects from OSS / Community, the Hugging Face Hub and also the Infrastructure...
+
+## References
+
+Looking for some real use-cases of what we are diving for Hugging Face? Here is a non-exhausitive list of projects/achievements/sprints we did in the past:
+
+- [Hugging Face Text Generation Inference available for AWS Inferentia2](https://huggingface.co/blog/text-generation-inference-on-inferentia2)
+- [Building Cost-Efficient Enterprise RAG applications with Intel Gaudi 2 and Intel Xeon](https://huggingface.co/blog/cost-efficient-rag-applications-with-intel)
+- [Fast Inference on Large Language Models: BLOOMZ on Habana Gaudi2 Accelerator](https://huggingface.co/blog/habana-gaudi-2-bloom)
+- [Scaling up BERT-like model Inference on modern CPU](https://huggingface.co/blog/bert-cpu-scaling-part-1)