Remote ML Research Engineer Internship, Post-Training - EMEA Remote

Description:

• Hugging Face is seeking an ML Research Engineer Intern for a remote position in the EMEA region.
• The role focuses on post-training research to enhance the performance of large language models and enable them to follow human instructions.
• Interns will work with the post-training team to implement cutting-edge research and make it accessible to the global AI community through code, datasets, and models.
• Topics of research include training LLMs to reason via test-time compute and navigating complex environments requiring agentic behavior.
• Interns will have access to a state-of-the-art training codebase, a large research cluster of H100s, and domain experts from Hugging Face's science team.
• The company values diversity, equity, and inclusivity, and encourages applications from individuals with varied backgrounds and experiences.

Requirements:

• Applicants must provide a cover letter explaining their interest in working in open-source at Hugging Face.
• The cover letter should include details about the applicant's skills, potential expertise, and specific topics they would like to work on during the internship.
• A passion for making complex technology more accessible to engineers and artists is essential.
• Candidates should have an interest in training large language models and working across the deep learning stack.

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 to accommodate employee well-being.
• Employees have the opportunity to visit office spaces located around the world, particularly in the US, Canada, and Europe.
• Hugging Face is committed to building a supportive workplace culture where all employees feel respected and valued.