Remote Machine Learning Engineer Internship, TRL - US Remote

Description:

• Hugging Face is seeking a Machine Learning Engineer Intern to contribute to the development of the TRL library, which focuses on post-training techniques for large language models (LLMs).
• The intern will collaborate with the research team to integrate cutting-edge methods into the library, maintain a clean and scalable codebase, and ensure usability through thoughtful documentation.
• Responsibilities include engaging with the TRL community by responding to issues, gathering feedback, and fostering collaboration through discussions and support.
• The intern's contributions will influence thousands of developers globally, advancing the adoption of state-of-the-art post-training techniques.
• The role emphasizes the importance of making advanced machine learning tools accessible and reliable for users.

Requirements:

• Candidates should have knowledge and experience in machine learning, specifically in fine-tuning large language models (LLMs) or vision-language models (VLMs), and optimization techniques.
• Proficiency in Python, PyTorch, and frameworks like Hugging Face Transformers is required, along with experience in distributed training and GPU acceleration.
• Familiarity with Git/GitHub workflows, community engagement, documentation, and collaborative development is essential.
• Exposure to cutting-edge ML research, benchmarking, and testing fine-tuning methods is preferred.
• Experience in building tools to streamline workflows, ensuring software stability, backward compatibility, versioning, and delivering reliable releases is important.
• Strong communication skills are necessary for writing blog posts, tutorials, and sharing updates on platforms like LinkedIn to engage with the community.
• A cover letter is required, detailing the candidate's interest in open-source work at Hugging Face, skills, potential expertise, and topics of interest.

Benefits:

• Hugging Face promotes a culture of diversity, equity, and inclusivity, ensuring a respectful and supportive workplace for all employees.
• The company values development and offers reimbursement for relevant conferences, training, and education to foster continuous growth.
• Flexible working hours and remote options are provided, supporting employees regardless of their location.
• Employees have the opportunity to visit office spaces around the world, especially in the US, Canada, and Europe, and will receive support to outfit their workstation for success.
• Hugging Face encourages collaboration and community support within the ML/AI field, emphasizing the importance of scientific advancements through teamwork.