Hugging Face, a leading AI platform company, is seeking an Open-Source Machine Learning Engineer to join their mission of democratizing good AI. With a thriving community of over 5 million users and 100k organizations, Hugging Face has become a cornerstone of the ML/AI ecosystem, hosting 1M+ models, 300k datasets, and 300k apps.
As an Open-Source Machine Learning Engineer, you'll be at the forefront of improving the open-source machine learning ecosystem. Your work will primarily focus on enhancing essential libraries like Transformers, Datasets, and Accelerate. This role offers a unique opportunity to directly impact the ML community while collaborating with researchers, ML practitioners, and data scientists through various channels including GitHub, forums, and Slack.
The position is fully remote, offering flexibility and work-life balance, with offices in NYC and Paris available for visits. Hugging Face provides comprehensive benefits including health, dental, and vision insurance, parental leave, flexible PTO, and company equity. They strongly emphasize professional development, offering reimbursement for conferences, training, and education.
The company culture is built on diversity, equity, and inclusivity, ensuring all employees feel respected and supported regardless of their background. They maintain a bias for impact and continuous growth, working alongside some of the industry's brightest minds. If you're passionate about open-source technology and want to contribute to one of the fastest-growing ML ecosystems, this role offers an exceptional opportunity to make a significant impact in the field of artificial intelligence.
What makes this role particularly exciting is the chance to work with a community that believes in collaborative scientific advancement, while helping to shape the future of machine learning technology. The position offers both technical challenges and the satisfaction of making complex technology more accessible to a broader audience.