Internship for Machine Learning Engineer in Watermarking - Remote in the US

Here at Hugging Face, we're embarking on a journey to further good Machine Learning practices and make them more accessible. As we progress, we strive to contribute positively to the technological landscape.

We have constructed the world's fastest growing, open-source library of pre-trained models. With over 500K+ models and 250K+ stars on GitHub, our technology is utilized in production by more than 15,000 companies, including leading AI organizations like Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

This internship role intersects with all modalities: language, vision, audio. The role is centered around watermarking the outputs of models to enhance their safety and assist with their deployment in suitable contexts. You'll team up with ML engineers to incorporate cutting-edge research into open-source toolkits, distribute them, and have your work utilized by a large community.

About You

If you are an open-source enthusiast, passionate about making advanced technology more user-friendly for engineers and artists, and eager to contribute to one of the rapidly expanding ML ecosystems, we're excited to read your application! Even if you don't meet all the listed criteria, we still encourage you to apply! We're assembling a diverse team whose skills, experience, and backgrounds complement each other. We're glad to consider where your biggest impact might lie.

More about Hugging Face

Our active efforts are aimed at fostering a culture that values diversity, equity, and inclusivity. We've intentionally built a workplace where everyone feels respected and supported—regardless of their identity or origins. We're convinced this is fundamental to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the grounds of race, religion, color, nationality, gender, sexual orientation, age, marital status, veteran status, or disability status.

We place importance on growth. You will be working alongside some of the smartest people in our industry. As an organization, we are oriented towards making an impact and constantly challenge ourselves to keep growing. We offer our employees reimbursements for relevant conferences, training, and education.

We prioritize your well-being. We facilitate flexible working hours and remote options. We extend our support to our employees regardless of their location. While we do have office spaces globally, particularly in the US, Canada, and Europe, we take pride in being a distributed workforce. All remote employees get the chance to visit our offices, and we provide a comfortable workplace setup when necessary.

We believe in supporting the community. We are convinced that significant scientific developments come from collaborations across the field. Join us in supporting the ML/AI community.