Ml Research Engineer

Summary

Join Hugging Face's post-training team as an intern and contribute to cutting-edge research in large language models (LLMs). You will work alongside experts to implement research, making it accessible through code, datasets, and models. The internship focuses on training LLMs to reason and navigate complex environments. You'll have access to state-of-the-art resources, including a large research cluster. Hugging Face values diversity and inclusivity, offering flexible working hours and remote options. The company provides reimbursement for relevant conferences, training, and education, demonstrating a commitment to employee development and well-being.

Requirements

• Passion for open-source and making complex technology more accessible to engineers and artists
• Interest in training LLMs and working across the whole deep learning stack

Responsibilities

• Implement cutting-edge research and make it accessible to the global AI community in the form of code, datasets, and models
• Train LLMs how to reason via test-time compute
• Train LLMs how to navigate complex environments that require agentic behaviour

Preferred Qualifications

• Love for open-source with an eye for art and creativity
• Desire to contribute to one of the fastest-growing ML ecosystems

Benefits

• Flexible working hours and remote options
• Reimbursement for relevant conferences, training, and education
• Opportunity to visit offices around the world
• Workstation outfitting if needed