Trust & Safety Ops - EMEA Remote at Hugging Face

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Hugging Face
Trust & Safety Ops - EMEA 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, collaborative 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.

Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models.

About the job

We are looking for a Trust & Safety Ops team member to work closely with our Platform team. You will work at the intersection of community, regulatory and technical questions to create a safe and secure environment for users, maintain platform integrity, prevent abuse, enforce policies, and ensure compliance with legal and regulatory requirements.

A Trust & Safety Ops team member will operationalize all the Trust / Safety / Content moderation / IP / Law enforcement subjects on the HF Hub platform ( as we scale. You will also mitigate risks and protect our positioning of a neutral tooling platform for the whole AI community.

About you

We are looking for candidates who love building tools for and collaborating with the wider community and share our vision for accessible technology.

A good candidate for this role will have a multidisciplinary mindset and be comfortable working at the intersection of technical, regulatory, and ethical questions. Coming from a compliance experience with 5+ years in a regulated entity/environment, you have a solid track record of building trust with regulators and maintaining complex control environments.

If you're interested in joining us, but your experience is different from the traditional mold, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another, and we value and encourage having multiple perspectives. We're happy to consider where you might be able to have the most 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 offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, 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 want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.



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