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 Developer Experience Engineer, you will play a key role in expanding the adoption of our inference services. This position involves working collaboratively across various teams, including Open Source, Product, and Infrastructure, to enhance the overall developer experience.
In day-to-day, this role can involve:
- Engaging Demos and Prototypes: Design and develop demos and prototypes to effectively showcase the latest research and how to use it from a developer perspective.
- Technical Content Creation: Produce high-quality technical content, such as documentation, blog posts, tutorials, and documentation, to support and educate our user community.
- Tooling Development: Create and improve tools to lower the barrier of entry for developers using our inference services.
- Ecosystem Integration: Own, unify, and grow the tooling and its adoption within the developer ecosystem.
About you
You’ll work with a supportive team of engineers and a vast ecosystem while enjoying a lot of autonomy. This position is ideal for someone who is:
- Generalist Engineer with Developer Empathy: Versatile and empathetic, with a strong understanding of developers' needs and pain points.
- Enthusiastic About ML-Focused Products: Passionate about working on cutting-edge ML products and solving related technical challenges.
- Developer-First Mindset: Dedicated to building tools and products that prioritize the developer experience.
- Adoption and Accessibility Advocate: Committed not only to building tools but also to ensuring they are accessible and widely adopted.
- Product and Technical Ownership: Possesses a strong sense of ownership and responsibility for both the product and its technical aspects.
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.
United States
