Activez les alertes d’offres d’emploi par e-mail !
Mulipliez les invitations à des entretiens
Hugging Face recherche un Ingénieur en Machine Learning pour étendre leur écosystème aux développeurs web. Le candidat idéal aura une expérience dans la gestion de communauté open source et des compétences en JavaScript/TypeScript. Une culture d'inclusivité et de bien-être est valorisée, avec des horaires flexibles et un soutien au bien-être des employés.
Social network you want to login/join with:
col-narrow-left
fr, France
Other
-
Yes
col-narrow-right
814270321c2b
6
18.06.2025
02.08.2025
col-wide
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
This role operates at the intersection of software engineering, machine learning, and open-source community building. The focus will be to expand the Hugging Face ecosystem to web developers through the creation and maintenance of easy-to-use JS/TS machine learning libraries.
About You
We’re looking for candidates with experience in the following aspects of web machine learning:
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 background 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 for impact and is always challenging ourselves to continuously grow. 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 support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, 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 support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.