Remote ML Research Engineer Internship, SmolLMs pretraining and datasets - US Remote

Description:

• Hugging Face is seeking an ML Research Engineer Intern to work on SmolLMs pretraining and datasets in a remote capacity.
• The role involves collaborating with the SmolLM team to build the next generation of smol language models by iterating on datasets and models quickly.
• Interns will utilize scalable CPU clusters for dataset processing and train models on a state-of-the-art H100 cluster with nearly 100 nodes.
• The internship is ideal for individuals passionate about training large language models (LLMs) and building high-quality datasets.
• Candidates should be proficient in Python and have an interest in contributing to the development of accessible machine learning technology.

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 open to applying even if they do not meet every requirement listed.

Benefits:

• Hugging Face promotes a culture of diversity, equity, and inclusivity, ensuring a respectful and supportive workplace.
• The company offers reimbursement for relevant conferences, training, and education to support employee development.
• Flexible working hours and remote work options are available, with opportunities for remote employees to visit office spaces.
• Workstations will be outfitted to ensure interns can succeed in their roles.
• Interns will join a community that supports significant scientific advancements through collaboration in the ML/AI field.