Machine Learning Engineer Internship, TRL - US Remote

Hugging Face, the leading platform for AI builders with over 5 million users, is seeking a Machine Learning Engineer Intern for their TRL (Transformer Reinforcement Learning) library team. This role focuses on advancing post-training techniques for Large Language Models, working with a library that has garnered 10k+ Github stars and nearly 1M monthly installs.

The intern will work directly with the research team to implement cutting-edge methods, maintain scalable code, and enhance documentation. This position offers hands-on experience with state-of-the-art ML technologies, particularly in fine-tuning LLMs and VLMs. The role involves active community engagement, contributing to open-source development, and improving tools that impact thousands of developers globally.

Ideal candidates should have strong foundations in Machine Learning, particularly with LLMs, proficiency in Python and PyTorch, and experience with distributed training. Knowledge of Git/GitHub workflows and open-source contribution is valuable. The position offers significant learning opportunities, working alongside industry experts in a company committed to democratizing good AI.

Hugging Face provides a supportive, inclusive environment with flexible remote work options, professional development support, and opportunities to engage with a global ML/AI community. They value diversity and encourage applications from candidates with various backgrounds and skill sets, even if they don't meet all listed requirements.