December 3
🇺🇸 United States – Remote
👨🎓 Internship
⚪️ Entry-level
📚 Research Engineer
🚫👨🎓 No degree required
🗽 H1B Visa Sponsor
• 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. • LLM Agents are an exciting new field giving LLMs more autonomy and tools to solve more complex and longer tasks. • Building capable agents is both exciting and challenging. • You will work specifically on agents that can reason over data using code. • This work will include agent stack from preparing fine-tuning datasets, training recipes, and inference orchestration. • You will leverage our compute CPU and H100 clusters for large scale processing and model training. • Finally we’ll release the full recipe as well as the model serving as a foundation for the community to build on. • Checkout hf.co/science for more information about the science team at Hugging Face. • If you love open-source but also have an eye for art and creativity, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, we can't wait to see your application! • 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 value development. • You will work with some of the smartest people in our industry. • 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.
• Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. • We encourage you to mention your skills, potential expertise, and topics on which you would like to work.
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