Machine Learning Engineer Internship, Information Retrieval - EMEA Remote

Hugging Face, the fastest-growing open-source ML library provider, is seeking a Machine Learning Engineer Intern to join their Information Retrieval team. This role focuses on advancing the field of search solutions by implementing neural sparse models into the Sentence Transformers library.

The position offers a unique opportunity to work on combining semantic and lexical search capabilities, addressing a significant gap in current ML solutions. You'll be working on implementing existing neural sparse model architecture and developing matching trainers, with a focus on making these complex technologies more accessible to the broader engineering community.

At Hugging Face, you'll be part of a diverse, inclusive team that's actively shaping the future of ML/AI. The company has an impressive track record with 500K+ models, 250K+ GitHub stars, and is trusted by over 15,000 companies including tech giants like Google, Elastic, and Salesforce.

The ideal candidate should have a passion for open-source development, creativity, and making complex technology accessible. You'll benefit from working with industry experts, flexible remote work options, comprehensive development support, and the opportunity to contribute to one of the fastest-growing ML ecosystems.

This internship provides an excellent opportunity to gain hands-on experience in cutting-edge ML technology while working in an environment that values diversity, equity, and inclusivity. The company offers various benefits including flexible working hours, remote options, workstation support, and reimbursement for relevant conferences and training.

Join a company that's not just advancing ML technology but is also committed to supporting the broader ML/AI community through collaboration and open-source contributions. Whether you're in the office or working remotely, you'll be part of a global team that's pushing the boundaries of what's possible in machine learning.