Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role Evaluation is an incredibly important component of the latest wave of LLM democratization. Producing fair and reproducible results for newly released models enables the community to compare them to one another and to select the one that best fits their needs. The goal of this internship will be to contribute to the increasingly popular “Open LLM Leaderboard” in order to promote its growth and enable trustworthy evaluation for the ecosystem. Topics encompass community interactions & discussions, implementing fair and interesting ways to display model results, and contributing to future iterations of the leaderboard. Join and help in evaluating ML! About You If you’re a jack of all trades, who is eager to understand the ins and outs of evaluation, excited to interact daily with a very large community of ML professionals and enthusiasts, to work with datasets & frontend; then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

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Hugging Face

Join Hugging Face as a Machine Learning Engineer Intern to contribute to the “Open LLM Leaderboard”. Engage with a large ML community, work with datasets & frontend, and help in evaluating ML.

Machine Learning Engineer Internship, LLM Evaluation - US Remote

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