About the job
At Hugging Face, we are committed to democratizing artificial intelligence. Our platform is rapidly becoming the go-to resource for AI developers, boasting over 11 million users who have collaboratively shared more than 2 million models, 700,000 datasets, and 600,000 applications. Our open-source libraries have received over 600,000 stars on GitHub.
About the Role
As an Open-Source Machine Learning Engineer, you will play a pivotal role in enhancing the open-source machine learning ecosystem. Your primary focus will be on improving existing libraries such as Transformers, Datasets, and Accelerate. You’ll collaborate with a diverse array of users and contributors in this vibrant community. We believe in fostering your interests and will work with you to ensure your contributions are impactful.
In this role, you will help nurture one of the most active machine learning communities, guiding users in leveraging and contributing to the tools you develop. Daily interactions with researchers, ML practitioners, and data scientists will take place via GitHub, our forums, and Slack.
About You
If you have a passion for open-source projects and are eager to simplify complex technologies for broader audiences, we are excited to receive your application! We encourage candidates who may not meet every qualification to apply, as we seek to build a diverse team with complementary skills and experiences.
More about Hugging Face
Commitment to Diversity and Inclusion: We actively cultivate a workplace that respects and supports all individuals, regardless of background. This commitment is essential to creating a thriving community and company.
Employee Development: You will collaborate with some of the brightest minds in the industry. We prioritize impact and continuous growth, offering reimbursement for relevant conferences, training, and education.
Well-being Initiatives: We support flexible work hours and remote work options. Health, dental, and vision benefits are available for employees and their dependents, along with parental leave and flexible paid time off.
Remote Work Support: Although we have offices in NYC and Paris, we are a distributed team, allowing remote employees to visit our offices. We will also provide the necessary equipment to ensure your success.

