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Description Here at Hugging Face, we\u2019re 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 frontend engineer, you will work with core web technologies and python to build complex UI components to empower users to develop powerful applications with minimal code. You will respond quickly to the constantly changing needs of our user base to enable new and more exciting use cases. You'll help maintain a popular open-source library and nurture an engaged and passionate open-source community, helping users to contribute to and use the tools you build. You'll collaborate with researchers, ML practitioners, data scientists and software engineers daily through GitHub, Discord and Slack. About You You are passionate about open source and want to make machine learning as accessible as possible. You have used TypeScript and a JS framework professionally (React or Svelte ideally). You are comfortable working directly with core web APIs (canvas, audio, etc.). Ideally, you will have a few years of experience, always keeps users front and centre, and love collaborating. But as much as technical aptitude is important, we are looking for someone kind, thoughtful and engaged. If you're interested in joining us but don't tick every box above, we'd still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. 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\u2014regardless 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 offer health, dental, and vision benefits for employees and their dependents. We also offer 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\u2019re very distributed and all remote employees have the opportunity to visit our offices. If needed, we\u2019ll 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. (/huggingface/j/09B44FE57C/apply/) Apply for this job Hugging Face collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the (https://apply.workable.com/huggingface/gdpr_policy?lng=en) privacy notice for further details. (https://huggingface.co/) View website (/huggingface/) View all jobs (https://jobseekers.workable.com/hc/en) HelpSVGs not supported by this browser. (http://workable.com/web-accessibility-statement) AccessibilitySVGs not supported by this browser. 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