Engineer

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.

We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million models and 320K stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly, and NASA.

About the Role

As a Machine Learning Advocate Engineer for Computer Vision , you will have a key role in driving the adoption of the Hub platform and Open Source technologies by creating, fostering, and growing communities, extending the use cases of the Hub, developing tools to improve the developer experience, and bringing feedback to the team. You’ll collaborate closely with the Open Source, Science, and Product teams.

This is not a marketing position! Developer Advocacy at Hugging Face is deeply technical and having a generalist mindset is essential. Our team contributes to libraries such as Transformers, Diffusers, or Datasets, as well as to external libraries. Being able to collaborate technically with the rest of the team is essential.

You‘ll get to foster and drive collaborations with groups in the ML for Computer Vision Space, lead communications, adopt the latest CV-related features, and build tools for the community.

Some example activities you can work on are :

• Build integrations with open-source libraries in the CV space to support collaborations through the Hub platform.
• Craft and distribute high-quality content such as demos and blog posts.
• Co-organize events in which state-of-the-art CV models are created.

About You

You‘ll love working here if you enjoy developing your Machine Learning skills and amplifying your impact by engaging with the ecosystem. If you can spend Monday coding, Tuesday designing a workshop, Wednesday writing a blog post, and Thursday crafting ML memes, this job opening is for you! Having good engineering skills combined with solid communication skills is highly desired.

We are growing a team with diverse backgrounds and skills, and hence being proficient in other human languages and having deep connections with your local ecosystem is a substantial bonus. Having experience in Open Source development is a huge bonus. Existing engagement in different platforms (GitHub, LinkedIn, Twitter, Reddit, etc.) is also a bonus but not required.

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 parental leave and flexible 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.

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