Internship for Machine Learning Engineer, Generation - EMEA Remote

Here at Hugging Face, we're on a journey to improve Machine Learning and make it more accessible. In the process, we help in the advancement of technological development 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

This internship involves working at the crossroads of software engineering and machine learning engineering, bringing state-of-the-art LLM research and multimodal generative innovations to transformers in a user-friendly manner. At the end of this internship, you will have interacted with all aspects that power LLM APIs, including hardware acceleration, numerical precision issues, common machine learning pitfalls, and the importance of writing scalable software.

About You

If you are passionate about open-source, eager to simplify complex technology for engineers and artists, and keen to contribute to one of the rapidly growing ML ecosystems, we eagerly await your application!

If you're interested in joining us but don't meet every requirement mentioned above, we still encourage you to apply! We're building a diverse team where skills, experiences, and backgrounds complement each other. We're happy to consider where you might be able to make the greatest impact.

More about Hugging Face

We're actively trying to create a culture that promotes diversity, equity, and inclusivity. We strive to create a workplace where everyone feels respected and supported, regardless of their identity or background. We believe this is fundamental in building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You'll work with some of the most intelligent people in our industry. We are an organization that prefers action and continuously challenges ourselves to grow. We reimburse all employees 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. Though we have office spaces globally, particularly in the US, Canada, and Europe, we're very distributed and all remote employees have the chance to visit our offices. If needed, we'll also equip your workstation to ensure your success.

We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community that supports the ML/AI community.