Stagiaire Machine Learning Engineer H/F

1 week ago

Canada Abs Data Full time
Machine Learning Engineer Internship, LLM Evaluation – US Remote
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.

000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.

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

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; We're building a diverse team whose skills, experiences, and background complement one another.

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 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.

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.

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.
Machine #Learning #Engineer #Internship #LLM #Evaluation #Remote

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