Internship for Machine Learning Engineer, Watermarking - Remote in EMEA

Here at Hugging Face, we're on a mission to enhance quality Machine Learning and make it more accessible. As we progress, we support the advancement of technology for the betterment of all.

We have successfully constructed the most rapidly growing open-source library of pre-trained models worldwide. Bearing more than 500K+ models and 250K+ stars on GitHub, over 15,000 companies are utilizing HF technology in production, including leading AI organizations like Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

This internship operates at the crossroads of all modalities: language, vision, and audio. It stresses on watermarking the outputs of models to render them safer and aid their deployment in suitable contexts; you will work in conjunction with ML engineers to incorporate cutting-edge research into open-source toolkits, distribute them, and allow extensive usage within the community.

About You

If you are passionate about open-source, keen on making intricate technology easier for engineers and artists, and eager to contribute to one of the fastest expanding ML ecosystems, then we eagerly await your application!

Even if you don't meet all the criteria above, we still encourage you to apply! We are creating a diverse team whose skills, experiences, and backgrounds mutually complement each other. We are more than willing to consider where you could have the most major influence.

More about Hugging Face

We are hard at work building a culture that prizes diversity, equality, and inclusivity. We are consciously crafting a workspace where people are respected and supported, irrespective of their identity or origin. We believe that this forms the basis for 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 growth. You will work with some of the most intelligent people in our industry. Ours is an organization has a predisposition for impact and continuous self-improvement. We offer all employees reimbursement for relevant conferences, training, and education.

We are concerned about your well-being. We provide flexible working hours and remote options. We stand by our employees irrespective of their location. Although we have offices around the globe, particularly in the US, Canada, and Europe, we're highly distributed and all remote employees are allowed to visit our offices. If required, we'll also equip your workstation to ensure you succeed.

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