ML Research Engineer Internship, Post-Training - EMEA Remote
Description For ML Research Engineer Internship, Post-Training - EMEA Remote
Hugging Face, the leading platform in AI development with over 5 million users and 100k organizations, is seeking a ML Research Engineer Intern for their post-training team. This exciting role focuses on enhancing large language models' performance and capabilities through cutting-edge research in post-training methodologies.
The intern will work alongside experts in developing state-of-the-art models like Zephyr and NuminaMath, with access to advanced H100 computing clusters and the company's scientific expertise. The role involves implementing innovative research in LLM training, reasoning, and complex environment navigation, making these advances accessible to the global AI community through code, datasets, and models.
Hugging Face stands out for its commitment to open-source development, with their libraries garnering over 400k+ stars on Github. The company strongly values diversity, equity, and inclusivity, fostering a supportive environment where employees can grow professionally. They offer flexible working arrangements, comprehensive development support, and the opportunity to contribute to significant scientific advancements in AI.
This internship is perfect for candidates passionate about AI democratization, open-source development, and making complex technology accessible. The role offers hands-on experience with cutting-edge AI research while contributing to one of the fastest-growing ML ecosystems. Even if candidates don't meet all requirements, Hugging Face encourages applications from those who can bring unique perspectives and complementary skills to their diverse team.
Responsibilities For ML Research Engineer Internship, Post-Training - EMEA Remote
- Implement cutting-edge research in post-training of large language models
- Work with the post-training team to develop state-of-the-art models
- Make research accessible through code, datasets, and models
- Work on training LLMs for reasoning and navigating complex environments
Requirements For ML Research Engineer Internship, Post-Training - EMEA Remote
- Cover letter explaining why you want to work in open-source at Hugging Face
- Interest in training LLMs and working across the deep learning stack
- Skills and expertise in machine learning
- Passion for making complex technology accessible
Benefits For ML Research Engineer Internship, Post-Training - EMEA Remote
- Flexible working hours
- Remote work options
- Office visits opportunity
- Workstation equipment support
- Conference and education reimbursement
- Collaborative work environment with industry experts
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