The project is currently recruiting engineers to build “real robots” in Paris

Scarlett Evans, Assistant Editor

March 12, 2024

1 Min Read
A robot hand typing on a keyboard

Hugging Face, a startup providing open-source AI and machine learning tools for developers is launching a robotics project led by former Tesla scientist Remi Cadene.

Cadene announced the news via a post on X, formerly Twitter.

“After 3 years at Tesla and Optimus, I am thrilled to announce that I joined Hugging Face to start an ambitious open robotics project!” Cadence wrote.

He added that the project is hiring engineers to build “real robots” in Paris.

View post on X

While few details on the project have been released, Hugging Face also posted a job listing for an Embodied Robotics Engineer in France. 

“In this role, you will be responsible for designing, building, and maintaining open-source and low cost robotic systems that integrate AI technologies, specifically in deep learning and embodied AI,” the post said. 

The company also wrote that the role seeks to “push the boundaries of what's possible in robotics and AI.”

Hugging Face has previously focused on software, including its machine learning codebase and open-source chatbot, Hugging Chat, which rivals OpenAI’s ChatGPT. With its latest announcement, the company throws its hat into the increasingly popular humanoid robotics race.

This story first appeared in sister publication IoT World Today. To stay updated on all things IoT, subscribe to their newsletter.

Related:Hugging Face Launches New Code Generation Models

About the Author(s)

Scarlett Evans

Assistant Editor, IoT World Today

Scarlett Evans is the assistant editor for IoT World Today, with a particular focus on robotics and smart city technologies. Scarlett has previous experience in minerals and resources with Mine Australia, Mine Technology and Power Technology. She joined Informa in April 2022.

Keep up with the ever-evolving AI landscape
Unlock exclusive AI content by subscribing to our newsletter!!

You May Also Like