At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.
About the Role
As our only HR Ops, you will be handling the following tasks, including but not limited to:
- Managing employee onboarding and offboarding processes worldwide.
- Acting as the “guardian” of the company culture by providing daily support to the team (benefits, visas/relocation, salary, agreements, PTO, stock options).
- Coordinating recruitment-related issues with our Talent Acquisition Lead (preparing contracts, etc.).
- Improving our HR environment.
- Working with our external accountants to manage payroll.
- Corresponding with our external service providers (lawyers, visa providers, accountants, etc.) around the world (North America/LATAM, EMEA, APAC).
About You
- Ideally coming from a background in law, and are comfortable handling employment law questions independently, especially in the US, Canada and Europe;
- You have hands-on experience in HR operations (e.g. onboarding, offboarding, employee lifecycle, internal policies);
- You know how to rely on external providers (lawyers, accountants);
- You’ve worked in a fast-paced, startup or tech-driven environment where you had to wear multiple hats;
- You have the capacity to be nimble, pragmatic, and creative to solve problems;
- You will be required to be autonomous, independent, and communicative as these are the keys to succeed in a decentralized organization like ours. You also have great organization skills, and administrative writing skills;
- You are fully proficient in French and English, both written and spoken.
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.
- Native or bilingual in English
- Native or bilingual in French
- Background in Law
- Experience in a fast-paced tech start-up
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What We Do
Hugging Face is the leading open platform for AI builders. For researchers, Hugging Face is the place to publish models and collaborate with the community. For data scientists, it’s where you can explore over 300k off-the-shelf models for any machine learning task and create your own. For software developers, it’s where you can turn data and models into applications and features. Today, we host over 1 million models, datasets, and applications (including the latest Large Language Models and creative Generative AI experiences) that millions of people use every month. Our mission is to democratize good machine learning. We do this through open science (with projects like BigScience and BigCode), open source (with libraries like transformers, diffusers), and our commercial products and services to accelerate the adoption of good machine learning at companies.
Why Work With Us
We are a decentralized, global, hybrid company that wants you to spend your day focused on the work that excites you. We have an asynchronous communication style and an experimentation-heavy culture. We have a strong bias for impact, a generalist & diverse mindset, and a kind ambition.
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