Remote Machine Learning Engineer Internship, Information Retrieval - US Remote

Description:

• Hugging Face is seeking a Machine Learning Engineer Intern for Information Retrieval, with a focus on advancing accessible Machine Learning technology.
• The role involves implementing an existing neural sparse model architecture and a matching trainer into the Sentence Transformers library, emphasizing ease of use.
• The internship aims to address the lack of accessible solutions for training or fine-tuning neural sparse models, combining semantic and lexical search methodologies.
• The company values creativity and a passion for making complex technology accessible to engineers and artists.
• Hugging Face encourages applications from diverse candidates and is committed to building an inclusive team.

Requirements:

• Candidates should have a strong interest in open-source projects and a creative mindset.
• A passion for making complex technology more accessible is essential.
• While not all requirements need to be met, a willingness to contribute to a diverse team is important.
• Familiarity with Machine Learning concepts, particularly in Information Retrieval, is preferred.

Benefits:

• Hugging Face offers reimbursement for relevant conferences, training, and education to support employee development.
• The company provides flexible working hours and remote work options, ensuring employee well-being.
• Employees have the opportunity to visit office spaces located around the world, particularly in the US, Canada, and Europe.
• The organization is committed to supporting the ML/AI community through collaboration and shared advancements.