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

Description:

• Hugging Face is seeking a Machine Learning Research Engineer Intern for a remote position in the US.
• The role focuses on post-training research to enhance the performance of large language models and improve their ability to follow human instructions.
• Interns will collaborate with the post-training team to implement cutting-edge research and make it accessible to the global AI community through code, datasets, and models.
• Key topics include training LLMs for reasoning 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 highlight relevant skills, potential expertise, and specific topics of interest for the internship.
• A passion for making complex technology accessible to engineers and artists is essential.
• Candidates should be enthusiastic about contributing to the rapidly growing ML ecosystem.

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 promote 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 creating a supportive workplace culture that respects and values all individuals, regardless of their background.