Hugging Face, the leading platform in democratizing good AI, is seeking a ML Research Engineer Intern to join their innovative team working on Agent AI. This exciting role focuses on the cutting-edge field of LLM Agents, which gives Large Language Models more autonomy and tools to solve complex tasks.
The internship presents a unique opportunity to work at the intersection of post-training, inference, and orchestration, specifically focusing on agents that can reason over data using code. You'll be involved in the complete agent stack, from preparing fine-tuning datasets to developing training recipes and inference orchestration. You'll have access to state-of-the-art computing resources, including CPU and H100 clusters for large-scale processing and model training.
Hugging Face has an impressive reach with over 5 million users and 100k organizations collectively sharing over 1M models, 300k datasets, and 300k apps. Their open-source libraries have garnered more than 400k+ stars on Github, demonstrating their significant impact in the AI community.
The company culture strongly emphasizes diversity, equity, and inclusivity, creating a workplace where everyone feels respected and supported. They actively encourage applications from candidates who might not check every requirement box but bring unique perspectives and complementary skills to the team.
Working at Hugging Face means joining a community that supports the ML/AI ecosystem while having access to some of the smartest minds in the industry. The company provides comprehensive benefits, including flexible working hours, remote options, and support for professional development through conference reimbursements and educational opportunities.
This internship is perfect for someone who combines a love for open-source with creativity and has a passion for making complex technology more accessible to engineers and artists. You'll be contributing to one of the fastest-growing ML ecosystems while working on groundbreaking AI agent technology.