Technical Solution Engineer, Web Platform - US Remote

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.

About the Role

To fulfill our mission of building the Github of Machine Learning, our team is now looking for our first Technical Solution Engineer who will help our customers to build and debug integrations on Hugging Face Hub, as well as assist other HF team members with using the Hub internally.

Your main missions will be to:

• Support customers through a variety of support channels, including email, ticketing software, internal issue trackers, community platforms (like Github, StackOverflow), and real-time chat software (like Slack and Discord), so that they can work with the Hub and integrate it into their workflows and internal codebase as seamlessly as possible.
• Maintain an up-to-date knowledge of all the features of the Hugging Face Hub, as well as the ability to directly dive into the codebase if needed to assist customers and reply to their questions.
• Develop and maintain internal and external documentation, examples, … that demonstrate usage patterns of the Hugging Face Hub.
• Support the internal use of the Hub at Hugging Face.
• Assist non-technical members of the HF support team in handling advanced support requests that can’t be solved with off-the-self admin tools.

About You

You'll enjoy working here if you :

• Have at least 2 years of full-stack software development experience with Javascript/Typescript/Node.js and Mongo.DB technologies
• Understand how to write good, clean code in multiple programming languages, as well as how to read code that might not be quite as well written
• Are comfortable working with a great deal of autonomy and limited supervision
• Like interacting with new people, sometimes chatting live with many at the same time
• Enjoy the puzzle of solving open-ended problems, both individually and as a member of the team
• Have direct experience talking about technical concepts, and would be comfortable explaining how the Hugging Face Hub works to both technical and non-technical audiences
• Loves constantly learning and re-learning a changing technical product, even when you’re a little out of your depth
• Can empathize with users of all experience levels and understand their questions to quickly grasp the real issues

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 people 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. Hugging Face is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias toward 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 flexible parental leave and 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.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.