Machine Learning Engineer Internship, Information Retrieval

Hugging Face, a leading AI platform with over 5 million users and 100k organizations, is seeking a Machine Learning Engineer Intern for their Information Retrieval team. This role focuses on implementing neural sparse model architecture and matching trainer into the Sentence Transformers library, addressing the current gap in accessible solutions for training neural sparse models.

The position combines modern search solutions, including semantic and lexical search implementations. You'll work with dense bi-encoder models and sparse models like SPLADE and BM25, making these complex technologies more accessible to the broader engineering community.

At Hugging Face, you'll join a diverse, inclusive team that values continuous growth and development. The company provides comprehensive support for professional development, including conference reimbursement and educational opportunities. You'll collaborate with industry-leading experts while contributing to one of the fastest-growing ML ecosystems.

The company offers a flexible, remote-first environment with offices worldwide. They prioritize employee well-being through various support systems and maintain a strong commitment to the ML/AI community. This internship is perfect for candidates passionate about open-source development, making complex technology accessible, and contributing to meaningful advancements in AI technology.

Whether you meet all requirements or bring unique complementary skills, Hugging Face encourages applications from diverse backgrounds. They're building an inclusive environment where everyone can thrive and contribute to democratizing good AI.