ML Research Engineer Internship, Multimodal - US Remote

Hugging Face, a leading platform in AI development with over 5 million users and 100k organizations, is seeking a ML Research Engineer Intern for their multimodal team. This role focuses on the innovative SmolVLM project, a state-of-the-art, open-source Vision Language Model designed for efficiency and accessibility.

As an intern, you'll be at the forefront of multimodal AI innovation, working with cutting-edge technology and contributing to significant developments in the field. You'll have the opportunity to work with high-performance computing clusters featuring hundreds of H100s, developing and optimizing vision language models that push the boundaries of what's possible with limited computational resources.

The position offers unique exposure to advanced machine learning techniques and real-world applications. You'll be working on projects that directly impact the AI community, particularly in making powerful AI models more accessible and efficient. The role involves collaboration with leading experts in the field and participation in cutting-edge research initiatives.

Hugging Face offers a supportive, diverse, and inclusive work environment where development and growth are prioritized. The company provides comprehensive benefits including flexible working hours, remote work options, and educational support. They actively support the ML/AI community and believe in the power of collaborative scientific advancement.

This internship is ideal for candidates passionate about open-source development, who combine technical expertise with creativity, and are excited about making complex technology more accessible. While specific technical requirements are flexible, enthusiasm for AI development and a desire to contribute to the open-source community are essential.

The company maintains a strong commitment to diversity, equity, and inclusivity, fostering a workplace where all employees feel respected and supported regardless of their background. This role offers an exceptional opportunity to contribute to one of the fastest-growing ML ecosystems while developing valuable skills and experience in the AI field.