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HFDiscover the employees benefits and perks available to Hugging Face employees.
Learn about the 9 benefits and perks Hugging Face offers its employees.
If needed, we’ll outfit your workstation to ensure you succeed.
We have an unlimited PTO policy to help encourage work life balance.
Medical, dental, and vision insurance for US employees and dependents.
20 weeks of paid family leave for all parents to support you and your family.
Generous 401(k) and regional retirement plans to help you invest in your future.
Take as much time off as you want as long as it doesn't interfere with your ability to do your work.
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 have built the fastest-growing, open-source, library of pretrained models in the world. With over 30M+ installs and 50K+ stars on GitHub, over a thousand companies are using HF technology in production.
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.
HF51-200 employees
2016
Clement DeLangue
Explore the variety of open remote roles at Hugging Face, offering flexible work options across multiple disciplines and skill levels.
HF
United States onlyEmployee count: 51-200
HF
France onlyEmployee count: 51-200
HFFrance onlyEmployee count: 51-200
HFUnited States onlyEmployee count: 51-200
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INFind your next opportunity by exploring profiles of companies that are similar to Hugging Face. Compare culture, benefits, and job openings on Himalayas.
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InfuseAI builds MLOps tools to streamline ML and data workflow.
At Weights & Biases our mission is to build the best tools for machine learning. Our experienced technical cofounders built Figure Eight, and our tools are being used by cutting-edge machine learning teams including OpenAI and Toyota. We're looking for passionate, driven people who love to learn and collaborate in an inclusive work environment.
At Ivy, we’re on a mission to unify all Machine Learning (ML) frameworks, making ML code cleaner, more flexible, and fully reusable. All Ivy functions can be executed using TensorFlow, PyTorch, MXNet, JAX and NumPy, without any change to the code.
We are building a software platform that empowers data engineering teams to automate reproducible data pipelines regardless of its shape or size. We understand that these are tough complex problems that need new solutions and innovative ideas. We are not afraid to do things differently and challenge the status quo, and we want to do this together with our open source and enterprise customers.
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