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Hugging Face is hiring a Machine Learning Community Builder - International Remote

Description

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

Hugging Face has a thriving open-source ecosystem with all backgrounds (from ML Researchers to students interested in model biases). With over a dozen open-source projects, an amazing community, and thousands of contributors and collaborators, this position is an opportunity to have an impact across the ecosystem.


About the Role

As a ML Community Builder, you will be key in driving the adoption of the Hugging Face Hub Open Source technologies and platform by scaling the community efforts and contributing to the OS ecosystem. You’ll collaborate closely with Open Source, Advocacy, Research, and Product teams.

You'll get to foster and scale healthy machine learning communities. You'll also get to help users contribute to the tools HF builds, organize community events, and interact with researchers, ML practitioners, and data scientists daily through GitHub, our forums, Discord, etc. As an experienced community builder, this is an excellent opportunity to bring your creative and unique ideas to life.

Some example activities you can work on are:

  • Manage the Discord server with onboarding processes and add gamification features
  • Define and execute programs such as power-user groups and education initiatives
  • Organize open online sprints in which we provide compute resources to community members


About you

You'll love working here if you love technical communities and would enjoy amplifying your impact by engaging with the ML ecosystem. We're looking for candidates that understand technical communities, are ready to explore new adventures, and have an experimentation and impact-driven mindset. If you want to contribute to taking one of the fastest-growing ML companies to the next level, we can't wait to see your application!

If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.


More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where you feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community, as well as the future of machine learning more broadly. Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to grow continuously. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed, and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

Apply Now

Mention aiml.careers when you apply so they know you're a genuine candidate.

Remote

Hugging Face - AI/ML Jobs

Hugging Face

Location: Remote

Apply Now

Mention aiml.careers when you apply so they know you're a genuine candidate.